Live Agentic AI And Generative AI With Cloud Induction Session

Key Takeaways

e e am I visible everyone just give me a quick yes so how are you all everyone I hope everybody is doing fine yeah uh we'll just start the session in another four to five minutes but uh yeah you will be on mute uh I will be talking about the entire process and at the end we will allow you to ask any number of doubts and all I will be showcasing the entire team who all will be working with you all how the session will be going on what all topics we will be discussing step by step each and everything we will be discussing right but I hope everybody's super excited for this uh live generative AI I mean agentic Ai and generative AI with Cloud boot camp uh there was some concern regarding people from USA I know it is very early for you all uh but can't help because every this time was only free but what we can basically do is that later on once batch gets over one more batch is going on in the morning session right at 8:00 a.m. if that gets over we'll try to shift this batch in the morning wi okay but then I'll ask your permission also there okay and uh then we will decide that and we'll try to shift this 3 p.m. batch to morning 8: a.m. or night 8:00 p.m. okay so that it becomes comfortable for everyone out there I know uh can't help guys see uh I tried my level best to probably do this uh then again um if you want in the morning then then only we'll first of all I'll take the permission from everyone then only if the majority says yes then only we'll do okay perfect so uh how are you all doing can you give me a quick yes thumbs up something some good Smiley because today we are going to discuss about this new amazing batch uh agentic Ai and all uh right now the Talk of the Town is about agentic Ai and from past one and a half months I along with my team are working really really hard okay so first of all let me introduce uh to the team members uh I think sun and mik you there right oh yes sir yeah yes sir uh you can start your video if you want okay yeah yeah perfect so S and M is already over here uh and uh Sun you want to show your face yeah yeah just a second sir uh so this time uh the things that we are probably planning and why we have brought multiple mentors because now we are deep diving into agentic AI Frameworks we are probably going to discuss about generative AI in cloud and all so we are doing our own specific set of research you know and obviously if you know about M he's already having an experience some tremendous amount of experience specifically in the data science and uh machine learning field he's also working in big data and he's also training people in big data and all along with that we have sunny sunny is already working in PWC and the best part about Sunny is that he's just coming here to teach you for his brand building itself right and the best part again one more amazing part is that he's already working in langra and Lang chain specifically in his companies and uh he is doing a fabulous job he is probably creating a lot of projects over there so from past one and a half months we are specifically doing a lot of brainstorming and what kind of projects needs to be delivered and all today I will just give you a hint of projects that we have already developed uh specifically with respect to agentic AI application will just give you a vision of the code how the code will be specifically Rec how modular coding will be basically happening and all right uh along with that I will also give you an idea that how the course syllabus will be going on and with respect to that uh your dashboard how the dashboard will be where you'll be getting the meeting links uh how uh when you'll be getting the mails you know if you have any doubts even though after the class let's say in the week days where you can specifically discuss each and everything we will be discussing about okay so super excited everyone can I get a quick yes if you are super excited yeah so generative AI sub generative AI plus agentic AI we will be discussing about each and everything okay perfect I hope everybody's super excited great now first of all Whoever has probably enrolled in this batch right um can you let's just let me know whether you have the dashboard access quickly do you have the dashboard access simple the question is do you have the dashboard access and I hope my team has already spoken about the dashboard and all but anyhow I will be talking about that too in this particular session okay uh okay so uh for all those people who have the dashboard access right let me just show you each and every thing about this dashboard because this dashboard is the most efficient dashboard okay and here you will be able to see it okay so can you let me know whether my screen is visible everyone is my dashboard screen visible yeah M it is visible right I guess oh yes sir it's visible yeah yes sir okay perfect so if you have got the D board access you will be able to see feeds Workshop courses and messages I'm being able to see one more extra thing that is called as dashboard this is for me since I am the admin okay but remaining four fields that you will be able to see over here is with respect to feed Workshop courses and messages I will be explaining each and every section okay I don't have dashboard access okay to get to the dashboard what you really need to do is that go to your learn. krishna. academy.com web so this is the URL that you have to probably go to okay so I will give this URL to everyone okay uh unable to see the shared screen guys please check your internet connection you should be able to see it okay now once you probably go to learn. Krishna academy.com you will be able to see the sections Workshop courses and messages Okay so if you probably go to the workshop here is your induction session see link is probably coming over here yeah so here you'll be able to get the links over here okay so this Workshop session is basically your Zoom link every Saturday and Sunday your classes will be between 3: to 6:00 p.m. the reason we have written 3: to 7:00 p.m. because you should be uh able to get 1 hour doubt clearing session so we may extend end the session till 7 7:30 it depends on on the amount of doubts that you specifically have clear everybody yeah yes everyone for those who are not seeing please go to learn. Krishna academy.com log in with your mobile number or email ID with which you have taken the course Very Much simple okay then you will be able to see over here okay please go to learn. krishn academy.com for all those people who are not getting that please contact our counseling team they will help you out okay perfect now after this Workshop there is a section called as courses okay so in the courses is everybody able to see this course live building agentic Ai and generative AI application with Cloud yeah is everybody able to see this yeah perfect that basically means yes I'm getting all the answer everybody is able to see so this is your course dashboard okay the course dashboard course dashboard basically means whenever any session specifically happens let's say this session is happening right this all videos will be recorded and it will be available in your dashboard within the 24 hours right from the class is getting over Okay the reason why we are taking 24 hours because these are very long long sessions 3 Hour 4 hour sessions the video file will be very huge okay so for that reason we are taking 24 hours but we try to upload it in within 10 hours okay but we do not guarantee it because sometime what happens is that for rendering that huge file it usually takes time okay I can see option as view course instead of dashboard this dashboard will not be visible to you dashboard is only visible to the admin I am the admin okay but you will be able to see this three section feeds workshop and courses okay so if you go to the course dashboard here you will be able to see this okay now to you how the course dashboard will look like so here is your introduction okay if you probably see I have added the prerequisite videos okay I have added the prerequisite video so if you click over here you'll be able to see the prerequisite video prerequisite for this is python playlist which we have given it over here then NLP playlist then generative AI playlist okay yes yeah haraan he will just come in some time okay everybody clear so this are the prerequisites that you should know because agentic AI is more about developing amazing end to endend generative AI application along with agentic AI features in that right so for that you need to know coding right you need to be very good at python right so python NLP and generative AI playlist is necessary okay so that is the reason I have uploaded videos over here which you can probably see it okay clear everybody clear yeah clear everyone yes perfect right yeah if you have any queries don't worry I will be talking about that in the doubt out clearing okay so today we will be taking all the doubt clearings also okay but since this is an induction session I need to show you that this is the entire dashboard and all right now the most interesting thing about this dashboard is that we have a community courses see over here so live building agentic AI this is your entire Community right your entire Community you can have any discussion over here please don't don't please don't share unnecessary thing okay please don't share unnecessary thing over here only discussions related to your doubts you want to talk to your peer you can probably have a communication over here clear yes chanika I have my own admin dashboard no so additional dashboard is visible for all the others feed Workshop courses and messages will be visible clear clear everyone so any discussion that you want to do related to your queries your uh doubts you want to do peer-to-peer discussion you want to probably um work with the team everything you should be able to have a communication over here I will also be over here all the mentors will also be over here right so we want to create this team of community where you have a lot of discussion and the best part about the community is that people here are from different different experience if some people require jobs they will be posting it directly over here clear everyone yeah no subgroups one major group no sharing unnecessary links no WhatsApp link no telegram link if you do that I will ban you that is the strict decision that we have probably taken okay clear everyone yes everybody clear yes guys you need to have a good network connection if you attending an online session okay if you do not have a good internet connection I would suggest just watch the recording then okay don't waste your time don't waste my time okay you need to have at least see when we are taking a live Community sessions live live boot camps right at least you should have an internet connection right then only if you don't have that is not a problem then uh just go ahead and probably join it in some later time just see the recordings okay so here what whatever discussions you really want to do you can specifically do okay only related to the course sir no I'm feeling depressed please someone help me hey do you want to probably do a group studies and all no no no no hey join my WhatsApp group I am going to take you to Mars no clear okay clear everyone perfect now the second thing is that if you have any queries related to to the dashboard okay related to the dashboard okay you can drop a mail at support at the rate krishn academy.com which we have already given in the email also everybody received the email today yes yes yes everybody have received the email right so every Saturday and Sunday you will be getting the email for joining okay okay one major announcement tomorrow is is Republic Day in India so on public holidays classes will not be there okay classes will not be there but to accommodate tomorrow I will be taking one weekday session so that we do the installation of the software clear clear is it fine because we just need to do the installation right so what we'll do we will try to make the session on Wes day okay Wes day 800 p.m. is that is comfortable for both us or Indian time clear 8:00 P.M IST see because we need to do the Anaconda installation and all right that is the most basic thing and I know many people will face sometime problems in there okay so if you have already Anaconda installation don't worry okay if you do not have Anaconda installation just come to that particular session because we want to probably do that before we start the next weekend class because in the next weekend class I am going to start the Practical session on Lang chain okay this session is all about induction session here we are discussing about our dashboard we are discussing about uh where you'll be able to see your videos what are the prerequisites each and everything done everybody week days will be difficult as it would be a working day in office but please don't take course session no course session I am asking you weekday only for installing the software that's it okay installing the software that's it nothing nothing else I will show you how to install anond mac I will show you how to install anaconda in your windows that's it and then whoever face any issues because I don't want to take that in the weekend because if I take that in the weekend it'll be wastage of time okay only Anaconda yeah anaconda and vs code we will use anaconda and vs code for the entire session clear so only for those people those people who have already installed don't worry don't come to the session I will not teach anything only the installation part we will teach it clear now let me show you one more interesting thing this is something called as feed okay now the best part of the feed will be that you'll be able to see what all workshops or what all sessions is basically happening and this is just like a LinkedIn feed you can post your learnings you can post anything over here right and people will be able to see it will be they'll be able to comment it out and many more things does this make sense yeah is it mandatory to install Anaconda see uh the Frameworks that we are going to specifically use it is better to use Anaconda because that is much more efficient than compared to any other thing but yes if you are smart you know how to probably create environment with the help of python and all you go ahead with that no worries okay okay clear yeah so this is your feed anything exciting thing you want to probably post related to jobs anything at all you will be able to post now let me announce one very amazing thing about this batch this batch is the first batch wherein we have people with the name from a to zed okay A to Z okay that is the most amazing so congratulations this is the first time that is basically happening we have people completely from a to zed I was just seeing you know super a to Z we we'll keep this batch name as Super A to Z okay and uh that's the main thing then and trust me we are going to devote each and everything in this particular batch because we feel that agentic AI will be the future whatever I have said from this past two years do you think or not whatever I have said that thing is probably coming up in the future right generative AI we started teaching one and a half year back right generative AI with Cloud each and everything right each and everything that is the best thing about this particular thing whatever till now I have probably started like from 2023 from 2022 I told mlops is important I came up with amazing end2end projects I came up with amazing courses we came up with gener AI we came up with agent Ki now right each and everything right so this we as an industry like people who are working in Industry we I talk to multiple people in a week you know they are managers they Architects and all you know I also do freelance consultancy work right so there we get to know what all new things are specifically happening and that is the reason why we come up with this kind of affordable courses okay and always we'll be making sure that we always come up with this particular affordable courses okay clear okay so everybody clear with your dashboard yeah very simple Workshop section you'll be able to see your meeting links courses section you'll be able to see your course dashboard whenever a class session will happen this is your prerequisite but after that this session what will happen one more video will come over here saying that induction along with the date okay so you can actually watch it okay now how many how many days let's let's talk about this okay many people will always say this okay so tell me how many days I have given the dashboard access how many days we have given the dashboard access 1.5 years okay now the target of this batch we that we have done is that to complete it within four to 5 months okay if it goes to 6 to 7 months I'm again going to increase the batch access to another 6 months clear okay if we extend from 4 to 5 months to 6 months then we will be extending it to another 6 months okay now let let me talk about one more very important thing okay and this is like many many things how many of you require course certification in this how many of you require course certification okay see I don't believe in any certificates how many of you are there who believes in certificates are you able to see my screen quickly M uh is my black yeah sir the note scribble is visible yeah yeah yeah yeah okay I will give you a certificate which says hey uh Hey candidate you are the best generative AI engineer in the world this certificate you want this certificate you want huh this certificate you want no sir I want aent okay fine I will give you agentic AI engineer best agentic AI engineer in the world okay okay best agent AI engineer the world okay um like all the researchers are below you I'll write in that also in that particular certificate okay all you are great than all the research researcher greater than all researchers should I give you like this huh what is the main aim of this particular batch what what is the aim tell me more but companies ask for certification which companies ask you for certification I have never seen a company saying that hey you need to have this certification that is a scam company you know and like they'll say Hey you want that ssip certificated certified things and all huh no right has any company told you hey come up with this particular certification unless and until it is related to Amazon or a cloud right have you seen anything okay AWS gcp and all uh I cannot say that hey I cannot give you AWS or gcp certificates right that you have to probably go ahead and write this right no they give weightage for hiring very wrong hiring then very Horror in my life I've seen I I've also uploaded a video a guy had eight plus certificates right he was not able to clear a job because he was lagging in projects right so let me tell you right certificates is not important otherwise I'll give you one very bright golden tub say Hey you are the world best generative AI engineer in the world okay then you put it everywhere wherever you want okay so I don't believe in certificates so I'm not giving any certificates here we will try to give you hands-on experience hands-on experience okay handson experience and this hands-on experience you will love it I will just show you the kind of projects that we have specifically developed the kind of coding that we have done then you will be getting an idea okay I've been working with one generative AI engineer who's working in London okay and he is helping me to develop some amazing projects and those kind of projects is not built on one or two days it has also taken in 15 20 days by my guidance hey this is how you have to probably come up with and we will develop those kind of projects in the class also okay clear everyone okay so your batch timing it is basically starting from 25th Jan 3:00 p.m. to 6:00 p.m. we are saying and one more hour we will keep it to doubt clearing session okay if let's say sometimes the doubt is not getting cleared within this time then we will also keep a doubt clearing session on Monday in the worst case scenario okay then again in Monday with the timing will be 8:00 p.m. to 11:00 p.m. ist so these all are IST time zones clear everyone yes yes okay okay we will be able to get chance to ask doubts in class yes all the mentors unless and until everybody's doubt is not cleared we will be sitting here only okay and between this 3: to 600 p.m. class we will give you 15 minutes break okay 15 minutes break clear everybody clear yes so this is the first thing okay the second thing that I've already told you is with respect to the dashboard excess how much is the dashboard excess 1.5 years why I did not give it for Life Time why did I not give it for Lifetime why I did not give it for lifetime because you will never study okay you want to get job Target within 8 months okay I was just planning to give one year only then some people said no sir no sir we are working experience we have to probably uh see it for 1.5 years and all so I increased another 6 months okay right I want you all to focus and complete and get transition within 8 months this is what is my target so if you are devoting that much sufficient amount of time trust me that will be more than sufficient got it yes or no everyone is this a correct decision is anybody going to study no tell me how many of you will be studying after one [Music] year I have a Library many people keep a library but they don't see that all the books at least once in a year right yeah they will be reading some books but some books will just be keeping they'll be keeping for you know and in Instagram they'll be writing I'm a book lover hey I I I like reading books you know nowadays that thing are coming up right but I still feel that instead of book the best way of learning is through videos right yeah clear everyone session yeah that is true and they'll say hey see I have a library see in my office no I don't have even one book also no one book anywhere you search I have laptops I have desktop I have writing pad and everything I probably watch it from internet right I have to learn anything and all no iPad also I have this amazing 5,000 rupees writing pad okay now you can see this this nip is also broken this much I have written from this from past 5 to six years right I like this I don't like very high-tech also iPad what I will do again it'll it'll be very costly right iPad you know and probably writing I can buy but I don't want to unless and until it is required okay but see this writing pad this is I iay this writing pad every day hm clear everybody clear yes okay perfect now dashboard excess 1.5 years uh then we will try to do in such a way that please try to get your job in 8 months then we will also keep some kind of hackathons within your group okay within your group so that everybody participates and this will carry some rewards it will be cash vouchers okay it will be let's say it will be course access other course access other paid course access and it can also be hiring I'm slowly building a team right I will also try to hire from you all you know but definitely over here freshers probably first of all they require so my first Focus will be on freshers right people who are already working don't worry we will in the Community will try to create a group who will keep on posting jobs keep on posting jobs okay but freshers we will focus on hiring uh in such a way that we give you at least internships 6 months internship 3 months internships and all hackathons will be completely based on agentic AI problem statements whoever does well you know whoever does well whoever solves a very good problem statement I'm also ready to fund them so that they can start a company I will try to give an angel investment Angel investment okay if it is a very use case along with this Angel investment I will be doing free marketing for you okay I'll use my whole soul everything and all and I will try to do this your funding can be ranging your angel funding can be ranging between 5 lakhs to 10 lakhs I'll try my level best okay five lakhs to 10 lakhs okay so that will be my way of giving back to the community okay I want to make sure that you all p p like bring above that particular use case where I say hey wow and my team is definitely there to guide you at any point of time okay and we will definitely promote you everywhere what is five lakhs five lakhs basically means 500k rupees okay 500k to 10K sorry 1,000k okay so this amount in INR we are ready to give it to you okay so we will try to do that but from this hackathon we'll try to come up with this use case see if you're not coming up with this particular use case then it will not be any useful right otherwise it will be a wastage of money and we'll go with a proper process where you register your company do each and everything and all okay okay and this hackathon can be done by an experienced person in a group you have your own idea single person is also there if a person specifically does that we'll also help him with along with the problem statement and all right yes clear everyone yes happy happy yes but definitely I will be there to support you to promote you each and everything to build your brand and everything okay now coming to the brand building part branding is very much necessary okay see how many years you have planned to do your job do you think just by doing job you will become a millionaire I'm not selling something okay just by doing a job you will become a Millar no right tomorrow anyhow you do well for your companies okay let's say that you are giving your entire devotion in a year you may get 15% hike you may get 20% hike right you may get 25% hike let's see but tomorrow what if the company's in loss what will happen What will H happen what will happen the worst scenario is that your your salary may get deduced or the the worstest scenario is that you may get fired and we have seen this right we have seen this do you think do you think okay let me go back before 2018 I started my YouTube channel in 2018 and until 2018 I was working in some good mnc's every day I was worried about how my performance was how my things was right slowly I started building my brand now do I care if somebody's giving me work or if somebody's probably U you know saying that hey some or the other thing when I'm discussing someone with someone related to any work when I'm doing my consultancy with related to any work when I'm working with bigger Brands like Nvidia and Amazon I have my own statement to say I don't have to worry about it you know because I've created my brand you want me right instead you want me right that is the statement that I tell you tell them if you want me me you know that basically creates my own brand itself over here clear are you are you are you understanding what I'm trying to say over here yes so brand building is super important guys I know see they will there will be statements in shark tank and all I hope you have seen right you may become a very good influencer but you may not become an entrepreneur right that kind of statements is also there I hope everybody has heard about that recently what is basically happening but what I feel is that to get let started if you have that kind of brand building right if you are having the the way that is shown in front of the audience with respect to knowledge with respect to the things you will definitely keep on getting work and you don't have to probably W worry about anything that is probably happening in your life right so this is the most important thing I hope everybody's understanding yes yes yes so please focus on the brand building now how do you focus on brand building tell the entire world tell the entire world by I can do better than you this is what I have actually done whatever application I'm probably developing showcase the entire world showcase the entire world someone will come and contact you and say hey please do my work man please do my work I hope you able to understand but what you are going to show things that you probably learn then you come up with your own creative idea and showcase it this is the internet Era start sharing content start sharing information start building connections building connections initially when you're getting started right tell them I'll do it for free show that work you know and probably then you decide it right now in my company I've hired everyone based on their work they have just showcased their work that's it they have showcased their work and I have hired them directly without taking any around and I'm also not doing micromanagement I just give them I just give them the ideation what really needs to be created I give them complete Independence do whatever you want to do but show me the demo and then I will be giving my pointers right so start start working on this branding guys branding is the most important thing once you have that particular branding in this world I'm telling you don't have to worry about who's getting fired or whether a company is doing good or not because you know you have work you will be getting work right that is the most important thing okay clear everyone ma this is not a motivation session but I see I've seen I've spoken to multiple people some people will be hating hting me some people definitely likes me right I don't care at the end of the day you have to take care of yourself you have to take care of your family no one is going to help you over there please believe in my words no one is going to help you over there okay somebody's making money somebody's getting jobs somebody's doing well how they are doing well because they are striving it they are trying to do it okay so please make sure that at the end of the day whenever help is required nobody's going to help you yeah some of your family members may help some of your friends may help but after certain point no one is going to help you you have to help yourself clear yes does that make sense everyone yeah so we will be making sure that from this hackathon we'll try to identify some people who can also join our Tom here I will be looking for fresher so that I we provide internships and all so that freshers will also get job and in the future I'm also coming up with an internship platform right we are coming up with a mock interview platform and all so there we'll be doing it until that platform does not come our mentors will also be taking care of the mock interview and all okay uh uh this is done this is done and we have talken about The Branding we have spoken about the dashboard access each and everything anything that is missed let me see uh M anything additional thing you want to probably say or sunny you want to say I think these all things are basically covered right uh yes sir I think majorly it was regarding the dashboard which I hope everyone is able to access and you all are able to see the doubts and everything yeah I think with respect to the course and everything this was the major thing yeah okay perfect so this is the all the things that is there tomorrow 26th January there will be a holiday the reason is Republic Day I don't want my employees to work on Public public holidays okay so whenever there is a public holiday or the mentor is not well at that time only we'll skip the classes but this particular class what we going to do we'll keep a session on Wednesday wedness day 8:00 p.m. IST to 11:00 p.m. for Anaconda installation clear Anaconda installation and vs code so we will be having our software set up so that we can start without wasting any time from the next session itself clear yes today is more about an induction session it's talking about things and all okay now slowly I'll stop sharing my screen mik you can introduce about yourself Sunny you can introduce about yourself and then uh we will be uh considering or we will be taking things ahead now sure sir I think yeah so that is majorly everything uh just one thing sir I think we can share the slus as well with everyone so I will do that meanwhile yeah you can start with that and then I I will be discussing how we are going to take the entire syllabus okay you can showcase the syllabus but first of all introduce yourself and and then go through the syllabus Okay Okay Okay cool so hello everyone I'm M Agarwal so I'm a graduate of nsit Delhi previously I have worked with many companies like Goldman saxs mle oo rooms and also consulted with few startups so I currently also am doing where I help startups in their product building and everything apart from that I have a good experience of coding and data science in general I have a research paper in the field of deep learning as well as professionally I have worked with creating AI solutions for the companies integrating AI into already built Solutions and majorly all the software development practices and making sure that we are building softwares which actually works right so that have been my major experience I have been teaching for the past four years now so have been doing it previously with my job where I used to Mentor at different uh companies like scaler coding in jazz and another and now of course I'm doing it independently with Chris sir so that has been my major experience many of you might also know me I'm taking a class on Big Data as well and yeah so with this batch I will be taking the part and we will I will make sure that from my very rich experience of working and teaching I'm able to impart you the knowledge and yes we will grow together and create awesome AI agents so that has been and looking forward to it perfect sun you can go with your introduction and then M after that you can go with the course syllabus if you want to showcase sure sir yeah yeah so hi everyone my name is uh in total I have 4 and a half year of experience in this a field I started my career from the machine learning and the Deep learning uh so previously I worked with the ion and after that basically I switched to the one of the mlc one of the big four and right now basically basically I'm completely into the generative a where I am developing some amazing use cases with respect to the gentic and all and I hope you have seen me on the CH YouTube channel and I running my own YouTube channel as well where I'm discussing the AI and the Gen related stuff and my main aim to always create some project so that could be convert into the project okay and I always keep those thing in my mind and whenever I teach so I always relate the realtime use cases with my projects and all okay so yeah I'll be also taking like couple of classes okay you have a different mic I think a lot of echo is there in uh just a second so let me check it out yeah now it is fine sir yeah okay okay good guys so I hope so whatever I told you here all right and yes uh definitely we'll be focusing more on uh like the application building and all and not only the building we'll try to focus on the deployment as well that how we can deploy the application okay and the complete mop Pipeline and all everything basically we're going to do that uh yes I hope everything is clear so far whatever whatever s is discard but still uh if you have any sort of a doubt definitely we can clarify after giving you the uh the complete overview of the syllabus okay M now what you can do is that you can just discuss the course syllabus and then I will be talking about who all will be taking what all topics so that you get a clear idea about it okay sure sir yeah so uh 1 minute everyone I'm going to share my screen uh just give me a second yeah me know once you're able to you be able to see my screen everyone let me just reset the zoom great uh yeah my screen should be visible right everyone so you will be seeing the slab in front of me the same is downloadable as well from the dashboard how many of you have this downloaded how many of you have this downloaded right I hope that's good so yeah other I put it over here also m in the attachment sure sir one minute let just a second everyone I will just share that on that here so I should be having the link great so I have just shared the same uh in a Google link everyone so please make sure that you download this right zoom out uh okay this is 100% let me do that should be fine so I hope that's now it's better right it uh it was fully fitting the but I hope uh should be fine uh everyone I hope you're able to see it properly should not be any issues okay so locking the zoom great yeah so this cabus we have of course put in a lot of time to make sure that it is very elaborative it helps answer most of the questions okay so that is our reason uh not sure why people are not able to download just a second so that there is no problem with respect to that 1 minute everyone so let me share that on the zoom only just a second yeah comp okay so hopefully doesn't get easier than this you have the labus on Zoom it's just uploading right so you can directly download it yeah so agent and J with Cloud that's the course of course let me use the laser pin so I can show you each and everything so agent geni with cloud and we will be using AWS and Google Cloud uh many people ask aor thing uh like why we are not using aor and everything see uh multiple things so first of all honestly doesn't matter as such if you are good with one of the cloud it's more than enough and we will see if any project will be there we will share but as of now this is the cabus now course designed for AI Enthusiast and professional to dive into the world of agent agentic AI n NLP hands-on experience in Building Systems NLP techniques agentic decision-making Frameworks and implementing state-of-the-art gen Frameworks by then we will be proficient in creating deploying and monitoring Advanced NLP and agentic applications uh why NLP here because of course uh in the back end we know that NLP is a major Crux or or everything behind your Genera a applications okay so yeah now this is the learning objective please go through it so that you get an idea understanding of NLP and applications in AI systems explore gen techniques Transformers and language models generating and completing text task then rag apply state-of-the-art framework like lch Lang chain Lang flow to build scalable and efficient LP workflows build and deploy conversational agents and chatbot using Lang graph langlow and integration with third party tools and apis and of course Lang fuse langat I will cover other Frameworks as well so I hope this is clear everyone I I hope all of this is good right great so please keep the chat rning that would be helpful uh this is the only way of communication with us that would be very much helpful to understand that everyone is able to understand okay great great great so next is course information and a very important page like rather one of the most important page it is the prerequisites okay so I saw that many of many people were asking but see the prerequisits are the stuff which we expect that you all will be knowing and you will have an idea right we also shared with all of you uh so in the dashboard only you will see some playlist on YouTube right where you can learn about these prerequisits prerequisits are python proficient in Python fundamentals including variables data types control structures numpy pandas map. lip all these libraries basically you should have a good experience in coding in Python that is very very much important right NLP python libraries like nltk Spacey text blob okay tokenization stemming lemmatization machine learning Concepts like classification and vector I ization okay so all these things are also very good if you know that because then you will be able to understand about anything which we are teaching in generative AI as well as let's say some concept we are referring to and last geni so a knowledge of python deep learning Frameworks like tensorflow py and J model like Transformers Gans V along with data manipulation skill napai and pandas again so the basic idea is that we you all are having or are comfortable in coding and understand about things related to uh your NLP and little bit on the basics of generative AI okay so that thing is very very important right prerequisite videos are also added uh in the dashboard yeah so in the dashboard everyone the videos are there already right you can effer to that the links are there updated when Chris also showed that I hope each and every one of you were able to uh basically see that thing okay so yeah this is the estimated time 5 months uh six hours per week and the required skill level is around beginner plus intermediate yeah these are all the course instructors so mayank Agarwal that is me Kris sir you all know him then we have S Savita s is also with us and sangu Paul who will be joining shortly okay so let us move forward then uh we have divided it into module by module now again you have the cabus with you you will be able to go through each and everything I will just cover a little bit that okay what we expect to have in the module you will see the topic there as well so we have keep it very easy to read right no making it very complex or anything because it I think easier is better okay so introduction to agentic AI we will be making sure that we give you proper introduction on what exactly is agentic AI what are agents agent AI versus AI agents generative Ai multi-agents and overview of all the Frameworks right so in the agentic a or basically in making these application Frameworks are used right so very first framework is the F data agent framework so they are now getting overall used by the industry that are the framework which we have introduced as well okay so module introduce 5 as a powerful framework for building agentic AI systems these are all the things which we will be covering here Core Concepts data and storage workflows and of course in use cases so we will be building a lot in this particular course so as s said we will be having a session as well this week so yeah your vs code Anaconda all those things I would expect should be a very good at a very good uh shape and you should spend that time as well to make sure that you able to work on it and set it up moving forward next is Lang chain again very very important uh I have used that I think first I used L chain one and a half years back when I was in mle I'm still using it for many of the projects uh when I do Consulting for any startup or anything they it's a very matured framework now and we are using it and companies are also using it so it makes a lot of sense that we know Lang chain in depth okay so this is basically next thing now let us see Lang chain is there again core components in data handling text splitting embeding and Vector storage let us move forward then Lang chain expression language very important concept so we will be teaching you everything getting started and then build building and deploying them then langu for deployment so if you have made this thing once then you will be deploy deploying them as well right so Lang surf or development is basically used for the sorry deployment is used overview and setup model deployment right so you can just read about the subtopics as well not going into each and every one of them we will cover them when we uh study them properly okay great so next is Lang graph everyone again Core Concepts introduction simple graph Lang graph Studio chain router agent with memory intro to deployment then State schema reducers multiple schemas trm and filter messages all these things and the dipl ment Concepts as well let's move forward so ux and human in the loop langra so this is a very important workflow human in the loop with langra we will see that the interaction and the time table concept of that moving forward we have agentic rag right rag I pretty sure that all of you will be having an idea that it's very important thing to make your AI more smarter okay so we principle of agentic graap okay techniques that enhances AI capabilities by retrieval external data and combining it with generative generated content okay so adaptive rack and different rack variants then let us see that let us move forward yeah so designing multi-agent system with langra once we have all the knowledge about all these Frameworks then we will try that okay how we can build these multiagent with langra we will be starting and doing a good projects you will also be making sure that you do that with us and then based on use cases you are also developing from all the learnings which we have see one thing everyone please remember that we will be doing project projects for you we will be making sure that we do projects in this class but your learning should not just limit till there you should make sure that you are doing more from your okay so with that in mind multi agent within langra we'll learn build system with multiple AI agents that can collaborate share information and solve complex problem together just like we as a team will do and solve problem we will make our agent also work together okay then Q platform again very good uh one of the recent framework which I tested out and it was pretty awesome so we will learn about that okay then next Lang flow overview and setup right so we will start with Lang flow start with the very basic UI terminologies everything we will cover then uh this is the continuation yeah then integration with third party tools so data integration API integration and workflow automation now uh one thing to understand here once you have created something it is very important how you integrate those things into the already running system okay so you will be creating an AI agent let's say how will you integrate that that is is what your good software practice are right in the end you are using some software you just want that hey that software should work fine and these integration things are very much helpful how the data will get integration the API integration that is where I think the whole concept of learning anything fall into place okay so that is what we are going to learn everyone then Lang fuse for llm observability again Lang fuse pretty awesome technique again we have to see once we have everything deployed how we can observe OB erve them all the cost everything we will be learning here then metrics and monitoring in langat so again once see the biggest thing with AI system is you can make it you can deploy it but then we have to see that how exactly are they performing what are the different metrics we have to focus on all these things we will be covering and this is in line with when we say that we are creating you industry ready we are making sure that you know each and everything that is what we uh me uh maintain here okay so I hope all of you are clear with this thing uh good till now everyone I hope each and everyone of you good till now able to follow anything uh concept related thing sh we will cover don't worry so we will have these things in depth right I have shared the cabus everyone should have the cabus now all is good I'm pretty sure feeling little confident everything right able to see the flow of the course as well once I'm going through this okay so that is that is the main name right see you should have this confidence we all have worked I previously have worked so deep into software development practices AI so make I'm making sure that you are able to imagine the flow that is the major thing right so let us move forward quickly then everyone the next is lsmith right so enhancing and testing of AI models right that is what we are going to do next is then introduction to autogen very important part Microsoft Technology we will be using this to make our AI agent to automate our uh models okay okay so yes next is N2 and agent so there we will be majorly making the projects right so Chris sir already showed you many projects in the YouTube live when we were taking it so we have awesome end to end projects which are at a modular coding industry level the way you can code it in a proper manner that is what we will be aiming for then next uh we will go and jump on to Cloud AWS cloud and services for geni we will learn about different different things in AWS AWS account create an IM region zones basically you will get a hold that okay if you're working on AWS because see you work and learn on your local but you deploy via Cloud so cloud is very important in that manner right so AWS services like ec2 sagemaker all of them you have to give you an idea that what exactly they are and where exactly they fall in our overall workspace where we will be using them so then next is AWS Bedrock then AWS sagemaker uh something very important I think I have been using P maker for at least 6 years now like I remember how good it was a technology for machine learning then deep learning and then finally AI as well then we had AWS Lambda so very good technology for serverless computing I have spent so much time on writing Lambda code on making or upgrading Lambda JS version all these things I have done a lot on Lambda so what does this tell you it is getting used a lot in the industry so if you will get to know of these things they will help you in becoming more more proficient and equip you to work in an industry environment when you work for any company then we have AWS API Gateway again to understand how we can make apis and everything then text summarization with AWS Services right so these are the projects then fine-tuning Foundation model on custom data so once we have the foundation models how you can fine-tune them very important uh concept then we will be doing a project on AWS okay so to make sure that each and everything is covered there then we will jump on to gcp that is Google Cloud platform many things you will be able to make sense now the reason is that you got that exposure to AWS that is the cloud environment then Google model with verx a and gmany AI studio so very important con concept Al and then project on gcp okay so G Google is also doing amazing things in the AI world I recently also went to Google Mumbai Office so I was invited for a talk there and believe me they are actually putting in a lot of effort to make sure that you can work on their Google vertex a and other Studio so yeah it was very good I talked to people who are working at Google who are developing these things believe me it's pretty good if you know these things because companies are slowly slowly adopting this as well okay so yeah this was all the slav everyone just a quick walk through I hope that is clear everyone right great yeah okay uh so thank you m uh so guys now let me just discuss about like how all things we will be covering the topic okay and who will be taking what this will basically give you a fair idea about how the syllabus will probably go ahead okay so please let me know if you're able to see my screen quickly okay okay in one brand building you have to keep on sharing your knowledge okay LinkedIn create some amazing application post it tag me I will be definitely helpful to uh probably to promote your things also share it with everyone repost it you know give a like and all right but only who are working hard there I'm actually going to do that okay now course syllabus I hope everybody has seen it right detail mahen has probably spoken about it and he has discussed each and everything the first thing probably in the next session that we are going to start is something called as Lang chain so Lang chain will be discussed from complete Basics to Advanced okay here we are also going to develop lot of endtoend applications with deployments okay end to endend application so your AI agents your independent AI agents will also be created using Lang chain we will start creating it over here okay so this uh entirely we will take somewhere around four to six sessions so we are deep diving into Lang chain everything you know now one thing over here is that many people may have probably spoken about this and they will ask chish which llm models we are going to specifically use okay so one thing over here what we are basically going to do is that open AI llm model will be used but trust me you need to probably take this hardly $5 to $10 will be required for the entire course okay because we are just going to less focus on open AI but more Focus will be given on open source models open source models when we say about open source models it it can be o Lama using Frameworks like Lama Gro wherein we discuss about platforms like llama Lama 3.1 Lama 3.2 all these kind of models right so this all llm models we will be specific focusing on okay along with this we will also be focusing on hugging fish open source models from hugging F like hugging phase Frameworks how we can probably download any model use it each and everything okay Azure open a I will not be using it because the main problem with this is that it is very difficult to get a business account for you all okay then uh yeah we will also see deeps see anything new thing is basically coming up we will also be exploring that okay so hugging phase deeps uh then along with this uh we will also be covering Google Gemini models Okay Google Gemini models we will be covering all the open source models and any models that is available for free so that you get fair amount of idea like how we are going to basically do it okay now here your dedicated Mentor for this will be Krishna who is Krishna it is myself okay so from the next session in the weekend I will be staing it and we will try to complete as soon as possible with respect to this entire Lon framework now the second thing is that we will be starting with something called as Lang graph okay langra do we need to take open AI yes please do make sure that that you take but we are not going to spend more than $5 to $10 that's it okay now in langra initially I will start okay then Sunny will be taking over because Sunny is Pro in this he is working in a company wherein he's developing some amazing end to end application using langra Okay using langra then what will happen is that once he probably takes this completes this entire end to end session here again we are going to focus on all paid and open source models but here we are going to focus on developing agentic AI application agentic AI application when we say agentic AI application here we are going to see about Rags here we are going to see about types of Rags okay see here also we are going to see here also we are going to see about Rags and all but this will be an independent AI agent now you may be thinking chrish what is the difference between AI agent and agentic AI don't worry about that I will cover that in the entire in the next session itself okay so this is how we are going to probably cover up now langra Sunny is probably going to cover completely from basic to advance along with different types of agentic AI application that we are going to develop we going to talk about Rags we are going to talk about complex workflows we are going to talk about Frameworks like Langs Smith we are going to talk about langra uh sorry langra Lang Lang Smith is there and Lang serve is there we will also be talking about this you know and and each and everything we will be discussing with respect to this clear everyone till here yes yes yes everybody perfect now what will happen is that the third topic that is probably going to come is something related to F data okay now F data will be again considered by me okay it will be taken by me or sunny based on whoever availability will be there okay we will be taking but the projects has been designed in an amazing way because just after some time I will be talking about the projects and I will be showcasing you what kind of projects also we'll be developing okay so five data framework is again to build agente AI application so this is one amazing framework which is becoming much more popular and langra will also be taking somewhere around six to eight sessions okay six to eight sessions our plan is to complete this in four to 5 months okay uh our plan is B basically to complete this in four to 5 months okay course so uh again with respect to five data we will be seeing how to probably create an agentic AI application here we are going to probably explore with every kind of models from open AI to to uh let's say llm models like open source llm models to Google gini each and everything will be covered up over here Google gin will also be covered each and everything will be covered okay so fi data is one of the most amazing that we will be discussing about fourth uh that we are probably going to discuss about is something called as autogen so autogen is another fun framework and in this particular framework m is dedicated going to probably take this completely basic to advance five data I think we will be able to do it in three to four sessions okay three to four sessions uh autogen another three to four sessions but here with autogen what we are basically going to do is that again we will be developing some amazing end to end projects okay and we'll be showing you how this particular framework is there autogen is pretty much famous because it has been coming up from Microsoft so everybody who's specifically using Azure cloud and all this will be basically very much important okay and uh so autogen part M will be taking care okay then the fifth part is something called as Lang flow there is also one more framework which is called as langlow langlow also will be covered up but here the best part will be this that this is a no code platform to build Agent K application so from coding to no code everything we are going to cover okay from coding to everything and all okay so no code platform with respect to agent AI application we will be covering this okay so after we cover this all then the next part that we are probably going to start is generative AI with Cloud okay with cloud and here we have a dedicated mentor and AWS and uh gcp here we are also going to probably consider gcp so for this we are going to consider shanu Paul okay who has a pretty much good experience in developing all these kind of applications so when I say with respect to cloud in AWS we will be talking about AWS Sage maker AWS Bedrock everything will be covered up in AWS Lambda everything AWS Lambda AWS Sage maker everything we'll be discussing and how we can probably deploy this kind of gen applications over here in gcp we are going to entirely focus on gcp vtex and how you can specifically use to build generative AI application okay generative AI so this is probably going to take 8 to nine sessions okay mostly it may go till 10 sessions or we don't know like still like how many different topics may be there but we are going to cover in this specific way and uh we going to cover this entire syllabus okay everybody clear I hope M Sun anything did I miss no sir I think yeah majorly everything is okay so everybody knows your roles and responsibilities also now in front of everyone I actually told so people are saying too exhaustive yeah it's more about coding all this session will be the most interesting thing will be that there will be no Theory yeah yeah so one thing like did we miss the crei here or ah cre one more one more framework sorry so sixth framework before Lang flow only we have to see or after five data so there is also one more framework which is called as cre so this is also we are going to cover it but I think if you know about One framework right all the other Frameworks you'll be able to understand automatically okay Lama index is not required guys if we keep on adding each and everything then it is very difficult and it'll become okay so cre okay let's let's assign to Sunny okay sunny will probably be taking it okay great okay huh Nvidia I will give you an idea don't worry about it okay Nvidia also there is a way of creating a GK applications we'll discuss about that okay whichever it comes whichever recent open source Gro everything will try to cover up okay clear everyone yeah done but I think with this much Frameworks you know it'll be more more than sufficient for you all to probably cover almost each and everything what do you say m s I think they'll get a fair amount of idea about how to develop things right yes exactly at least see if they going to understand at least one framework all the fundamental of the agents will be clarify and then uh people keep adding this framework and all when they're learning and okay that's why we are starting from the lection guys okay guys perfect I hope everybody has got it now yeah perfect perfect perfect perfect perfect perfect Sage maker is costly Affair see guys any companies who are specifically using AWS you know they will prefer using Sage Maker only because all the data will be at one place okay so just to give an idea on that everyone the last company when was working that was paying around a million dollars every month for AWS Bill and extra for open so you can think of that yeah can you tell once again about opena what you are saying to buy5 to $105 to $10 credit will be more than sufficient to use an openi key okay uh chrish sir can you share the notes yes I will be sharing it uh it will be added in your resource section once this video is recorded okay anything that we missed mik I think we have covered almost everything right so shall we start our doubt clearing if possible so guys um okay tomorrow public holiday is there okay anyhow you will be getting a mail because Republic Day is there uh other than that I think we have covered almost everything coming Wednesday Wednesday is which date let me see 20 uh 29th 29th January we are going to have a software installation session wherein we'll install anaconda and all we will try to show you in both Windows and Mac whoever are using Mac we will be showcasing a use case over there also and windows also then we'll also be taking doubt clearing there so that we set up but in the next session we are going to start our L CH okay okay what type of projects okay that one thing was pending okay let me show you just a second okay let me just share my screen so this is the kind of projects so right now this is deployed in hugging face spaces okay so here you can see agentic AI fast API autogen multi-agent cre AI everything we are probably starting up let me just go ahead and start this uh this is slept already okay this is one example of Lang graph here you can probably see everyone I hope you are able to see this right yeah yes now see langra in action here the best part will be that we are going to use grock we are going to use open aai we are going to use multiple things and here these are the use cases that we are defining see basic chatbot chatbot with tool appointment receptionist customer support like this we will also try to build up each and every projects now if you with respect to the coding this is how your file will look like see all modular coding Source folder will be there langra agent State stream L UI Vector store uh CS bot basic bot llms like if there are multiple like let's say you want to load llm from hugging face this will be the file that will be running uh if this is uh if you're using this from Gro then this will be the code that we be writing so perfect modular coding is basically used over here and this we are going to implement in vs code not only that uh the best part will be that we'll also be writing the cicd pipeline with respect to the workflows right so uh that all things so that you'll be able to deploy it anywhere that you want okay so this is just one kind of projects that I really wanted to show you uh some more projects that we are working on is with respect to F data I'll also show you this so This it it has taken us one and a half month to probably build all these projects okay and uh this will be quite good fast API stream L gradio anything like uh we will try to just showcase you but at the end of the day if you're using fast API you'll be also able to create a API itself directly okay so let me close this so five data in actions so some of the basic use cases that you'll be able to see over here are like web search agent team shopping agent you know there's just some examples similar kind of use cases that you can think of we will also be doing that okay so here is your entire code we will be showing you how to create your config.py file in file what is the importance of this uh how your Source folder should look like you know uh what is this agent F data how to probably write this particular code see entire modular coding we creating a class we are defining the agent you know we'll show you how to create agent from scratch also completely okay generate generative AI will also be completed no it is already getting completed with respect to the cloud okay yeah coding standards we try to integrate it that is the reason we have probably made sure to put prerequisite as python okay without that it will not be possible okay okay perfect so till the next session what you need to do is that please refer please go ahead and brush up your python skills your generative AI skills and all okay and please make sure to keep your open a account ready uh remaining all accounts I will be showing you how to create it and Wednesday don't forget to attend the the session anyhow mail will be dropped uh 8:00 p.m. session and then uh we will be able to start okay so thank you and now uh we will be having a doubt clearing uh so quickly let me stop streaming it okay just