Live Complete Computer Vision With Generative AI Bootcamp

Krish Naik · Beginner ·📊 Data Analytics & Business Intelligence ·1y ago
Skills: CV Basics80%

Key Takeaways

Builds a complete computer vision project with generative AI using Python and various libraries

Full Transcript

hello all my name is Krish naak and welcome to my YouTube channel so guys I am super duper excited to announce our first live batch uh which will be spanning for 3 to 4 months and the batch name is complete computer vision with generative AI boot camp uh the course date is from November 16 to 2024 we are going to start this sessions uh and the sessions will be every Saturday and Sunday between 10:00 a.m. to 2: p.m. ist and the duration is 3 to 4 months and the session will going to be happen in Zoom all the notification everything will be available in the dashboard the emails you'll be specifically getting before the class okay not only that the mentors of this particular batch will be myself and monal Singh okay uh monel uh if you don't know about monel he is uh he's an amazing guy he's an expert in computer vision and he's been working probably from past 3 to four years in specifically in this particular field and doing some and building some amazing applications amazing products itself right now uh before I go ahead and again uh the price of this particular batch will be 3,000 including GST okay now let me just go ahead and explain you why I am coming up with this kind of live sessions you know live batch uh if I specifically talk about generative AI right it is getting updated each and every day and with respect to the applications of generative AI it is specifically in the field of NLP and computer vision right and many many people were specifically asking for udmi courses also with respect to computer vision and all that uh recording is taking time and definitely it is going to take some amount of time uh but the main aim of starting this particular live batch is to make sure that to teach you in such a way so that as the batch continues and goes on right all the recent updates that are coming in the field of computer vision or generative AI specifically to computer vision or NLP we will try to cover up in the specific batches so my overall plan will be that we will only be having two different kind of Life batches one is computer vision uh complete computer vision with generative AI boot camp and the other one will be generative AI with respect to NLP right so this will be the two live batches that I will be going on considering it and remaining all the courses will be specifically coming in UD okay and uh uh again the pricing factor that I've actually kept you know so let's say that if this particular course is basically spanning for 3 to 4 months I've considered every month and considered thousand rupees so that you know the mentor should also be able who's probably putting so much of effort platform fees will be there we will be taking some Zoom sess so platform cost will also be involved over there so based on that that is the cost factor that we have actually put up okay so uh again let me just go back to my screen as said you know since this particular batch will be going 3 to 4 months we are going to cover in that specific specific way okay now uh the most important thing is with respect to the syllabus now this syllabus will be quite amazing because if you see over here um the link will be given in the description of this particular video if you go and just click this particular link right so here uh let me just talk about what all features you'll be provided you'll be getting the dashboard access with one year uh one year because again lot of many things will be getting updated right so one year will be more than sufficient uh for your dashboard access I think within that you should be able to probably learn each and everything then Community chat forum for discussion live doubt clearing session after session itself then hackathons with rewards we'll also be conducting lot of hackathons over here within the part particular batches then job referrals uh whenever I probably get any kind of opportunity here in your community chat form discussion we'll be publishing all the jobs and uh resume discussion and Mark interview will also be there okay all these things will be there now what you really need to do is that just go ahead and check out the syllabus right so in order to check out the syllabus you can download the syllabus just by clicking this particular link now if you see in this particular syllabus the first thing is what are the prerequisites okay this is the most important thing what are the prerequisits because this is the most fundamental question that will be asked by many people out there okay so uh the prerequisite is that you really need to be good at python uh especially with libraries like numpy pandas and open CV basic machine learning Concepts you should know what is supervised unsupervised machine learning algorithm and with respect to neural networks you should know what are neurons layers activation function back propagation at least till a&n you should specifically know from there we will be starting with the CNN so here you'll be able to see both the mentors out here you can also check out the LinkedIn ID so this is monan Kumar he's an amazing person with respect to computer vision uh probably has taken some of the free sessions Al you should definitely go ahead and watch uh it out and that is also available in the krishn academy.com in that specific website itself right so you can also go and check it out uh along with this you can see in the module one what all things we'll be covering we like we we will be starting from things like who are specifically interested in computer vision if you probably seen module one we'll be talking about image processing color models image manipulation transformation then uh in the module two we'll be learning deep learning Concepts n neural network fundamentals core mechanism of neural network Hands-On practice you know then you'll be having this computer vision part two where we are going to learn about CNN core CNN activation and tooling Network architecture you know uh then training mechanism output predictions all these things will be covered we are specifically going to use py for this because py toch is quite amazing then uh we also going to understand about transfer learning early CNN architectures and all then after this we will be moving towards Transformers Transformers in vision and this is where your gen tvi Concepts will also start coming up okay then you have this object detection in the object detection we'll be learning about so many different types of object detection like rcnn faster rcnn um then we'll be having single stage detectors YOLO object detection using YOLO V5 to v11 right V5 and v11 we will be probably considering and which will be the recent version of YOLO we will be using that you know then uh you have this object detection completely you'll be creating a lot of uh you'll be creating own object detection algorithm completely from scratch and all right then in the model 7 we have this segmentation uh then we have this computer vision object tracking then afterwards we have the generative AI models for vision application so this will be your golden section which will be really really important because we'll be developing some amazing projects over here okay so uh this is the overall syllabus and yes it's a huge syllabus it will be taking us somewhere around 3 to four months lot of efforts will be there and uh probably you'll be seeing all those things as we go ahead right now uh this was about the syllabus uh now this amount that you'll be seeing 3,000 it is including GST so it is less than 1,000 rupees per month okay so here uh this is how much you are basically paying for it you know and uh once you probably go ahead and take this particular course you know the next step will be that you will be able to see something like this right so you will be as soon as you probably go ahead and register it you will be able to log in and you'll be able to see the sections like feed Workshop courses and message as soon as you log in you can probably go to the messages section and this is how your community message Forum looks like you know many many people have already joined uh over here so here you can probably connect with your peers you can talk you can talk about the sessions that you have you can probably have a very good interaction over here right so all this thing information you'll be able to see itself over here itself right so even though in the introduction session of the session I'll again talk about the dashboard what all things you can actually do but as soon as you probably register for the session you know uh you will be getting the uh Community Access uh Forum access where you will be able to drop the message so here you can see many people are chatting and and uh you you can also discuss with your peer as you like okay so this is the first thing the next thing is that the second section is something called as Workshop session so as I said that the first introduction session is starting from November 16 2024 so here you'll be able to see one uh meeting link you know uh Workshop link uh with respect to November 16th uh at 10:00 a.m. right I have still not scheduled it but uh as soon as I schedule it you'll also be able to get a mail so um I'll keeping a very limited uh batch size you know I don't want to probably extend it a lot uh the main aim of keeping the limited batch size is that so that we give you good support with respect to making you teach and learn many things at all right so uh probably until the next week uh we will close the enrollment and then we will schedule the workshop so you'll be also able to get the mail now along with this Workshop you'll also be able to see in the courses section now so many different different courses are available in my dashboard because I'm the admin but in your section if you have registered for this you should be able to see this particular computer vision with Gen AI boot capap if you have registered for any other you'll also be able to see that so here is your course dashboard in your course dashboard still the introduction is there first session will be on November 16th I've written over here uh you should be able to see this right uh and as soon as we probably do the live session automatically we will be uploading the video I'll be uploading the video over here and you should be able to see all those videos inside your dashboard itself okay and remember after the session happens the video will be uploaded in 24 hours okay so overall this is the overall uh information about this particular batch uh this batch will be important because here we are going to teach we are not going to teach you we are probably going to provide you the entire experience that is specifically required and uh from chish AI Technologies we are also coming up with an internship portal so with from that internship will try to provide you some kind of internship work virtual internship work it may be paid it may not be paid right so both the options I'll keeping it open because it will not be possible to probably provide paid internship for everyone right so yeah overall all the information is there now for the people who are finding the course uh the the the the the course Fe very high uh specifically students specifically all those people who are not having job please do not proceed with this course you know wait for the udmi course we will also be coming up with the udmi course but one problem with the udmi course will be that anything that is getting updated right it will not be possible to quickly record and upload it over there it'll take some amount of time okay but for all the experienced people all the people who are specifically working in the industry I would suggest you please go ahead and take this specific course this will be quite amazing for your learning process okay so yes this was it from my side I hope you like this particular video I will see you all in the next video all the information regarding this will be given in the description of this particular video thank you take care

Original Description

Hello Guys, Super Excited to launch our first Dedicated Live Batch On Complete Computer Vision With Generative AI Bootcamp. Enrollment and Course Syllabus Link: https://bit.ly/3YOWuNK Limited Seats,Enrollment will close within 5 days Below are the details of the batch Course Overview: Mentors: Krish Naik And Monal singh Start Date: November 16th 2024 Timing: 10am to 2pm Saturday And Sunday Duration : 3-4 months Session will happen in Zoom In this intensive bootcamp, you will dive deep into the powerful combination of Computer Vision and Generative AI. This course is designed to provide a robust foundation in computer vision concepts and techniques, while integrating cutting-edge generative AI models to tackle complex image processing tasks, create synthetic data, and automate visual analytics. From industry beginners to seasoned professionals, this course will empower you with the tools and knowledge needed to apply computer vision in the real world using generative AI techniques. Features to Be Provided: 1. Dashboard Access With 1 year 2. Community chat forum for discussion 3. Live Doubt Clearing After Session 4. Hackathons With Rewards 5.Job Referrals 6. Resume Discussion And Mock Interview
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Playlist

Uploads from Krish Naik · Krish Naik · 0 of 60

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1 Natural Language Processing|Stemming
Natural Language Processing|Stemming
Krish Naik
2 Natural Language Processing|BagofWords
Natural Language Processing|BagofWords
Krish Naik
3 Gaussian distribution or Normal Distribution in statisctics
Gaussian distribution or Normal Distribution in statisctics
Krish Naik
4 Natural Language Processing|TF-IDF for Machine Learning| Text Prerocessing
Natural Language Processing|TF-IDF for Machine Learning| Text Prerocessing
Krish Naik
5 Log Normal Distribution in Statistics
Log Normal Distribution in Statistics
Krish Naik
6 Covariance in Statistics
Covariance in Statistics
Krish Naik
7 Confusion matrix, Precision, Recall| Data Science Interview questions
Confusion matrix, Precision, Recall| Data Science Interview questions
Krish Naik
8 Tutorial 44-Balanced vs Imbalanced Dataset and how to handle Imbalanced Dataset
Tutorial 44-Balanced vs Imbalanced Dataset and how to handle Imbalanced Dataset
Krish Naik
9 Implementing a Spam classifier in python| Natural Language Processing
Implementing a Spam classifier in python| Natural Language Processing
Krish Naik
10 Tutorial 11-Exploratory Data Analysis(EDA) of Titanic dataset
Tutorial 11-Exploratory Data Analysis(EDA) of Titanic dataset
Krish Naik
11 Face Recognition using open CV and VGG 16 Transfer Learning
Face Recognition using open CV and VGG 16 Transfer Learning
Krish Naik
12 Pedestrian Detection using OpenCV from Videos
Pedestrian Detection using OpenCV from Videos
Krish Naik
13 Face and Eye Detection from Videos using HAAR Cascade Classifier
Face and Eye Detection from Videos using HAAR Cascade Classifier
Krish Naik
14 Reading, Writing and Displaying images with Opencv| OpenCV Tutorial
Reading, Writing and Displaying images with Opencv| OpenCV Tutorial
Krish Naik
15 OpenCV Installation | OpenCV tutorial
OpenCV Installation | OpenCV tutorial
Krish Naik
16 Face and Eye Detection from Images using HAAR Cascade Classifier
Face and Eye Detection from Images using HAAR Cascade Classifier
Krish Naik
17 Car Detection using HAAR Cascade and Opencv from Videos.
Car Detection using HAAR Cascade and Opencv from Videos.
Krish Naik
18 Using OpenFace for Face recognition in Keras
Using OpenFace for Face recognition in Keras
Krish Naik
19 OpenPose Tutorial with Tensorflow
OpenPose Tutorial with Tensorflow
Krish Naik
20 Multiple Linear Regression using python and sklearn
Multiple Linear Regression using python and sklearn
Krish Naik
21 Dimensional Reduction| Principal Component Analysis
Dimensional Reduction| Principal Component Analysis
Krish Naik
22 Movie Recommender System using Python
Movie Recommender System using Python
Krish Naik
23 TPR,FPR,FNR,TNR, Confusion Matrix
TPR,FPR,FNR,TNR, Confusion Matrix
Krish Naik
24 Precision, Recall and F1-Score
Precision, Recall and F1-Score
Krish Naik
25 Artificial Neural Network for Customer's Exit Prediction from Bank
Artificial Neural Network for Customer's Exit Prediction from Bank
Krish Naik
26 GridSearchCV- Select the best hyperparameter for any Classification Model
GridSearchCV- Select the best hyperparameter for any Classification Model
Krish Naik
27 RandomizedSearchCV- Select the best hyperparameter for any Classification Model
RandomizedSearchCV- Select the best hyperparameter for any Classification Model
Krish Naik
28 K Nearest Neighbor classification with Intuition and practical solution
K Nearest Neighbor classification with Intuition and practical solution
Krish Naik
29 K Means Clustering Intuition
K Means Clustering Intuition
Krish Naik
30 Create custom Alexa Skill- Lambda function- Part2
Create custom Alexa Skill- Lambda function- Part2
Krish Naik
31 Hierarchical Clustering intuition
Hierarchical Clustering intuition
Krish Naik
32 Implement Transfer Learning with a generic Code Template
Implement Transfer Learning with a generic Code Template
Krish Naik
33 Gender Classifier and Age Estimator using Resnet Convolution Neural Network
Gender Classifier and Age Estimator using Resnet Convolution Neural Network
Krish Naik
34 Unlock Your Application With Your Face using OpenCV
Unlock Your Application With Your Face using OpenCV
Krish Naik
35 Draw rectangle from webcam and sketch process it on a live feed
Draw rectangle from webcam and sketch process it on a live feed
Krish Naik
36 Complete Life Cycle of a Data Science Project
Complete Life Cycle of a Data Science Project
Krish Naik
37 How we can apply Machine Learning in Finance
How we can apply Machine Learning in Finance
Krish Naik
38 Deep Learning in Medical Science
Deep Learning in Medical Science
Krish Naik
39 How to switch your career to Data Science.
How to switch your career to Data Science.
Krish Naik
40 Linear Regression Mathematical Intuition
Linear Regression Mathematical Intuition
Krish Naik
41 Handle Categorical features using Python
Handle Categorical features using Python
Krish Naik
42 Machine Learning Algorithm- Which one to choose for your Problem?
Machine Learning Algorithm- Which one to choose for your Problem?
Krish Naik
43 DBSCAN Clustering Easily Explained with Implementation
DBSCAN Clustering Easily Explained with Implementation
Krish Naik
44 Curse of Dimensionality Easily explained| Machine Learning
Curse of Dimensionality Easily explained| Machine Learning
Krish Naik
45 Feature Selection Techniques Easily Explained | Machine Learning
Feature Selection Techniques Easily Explained | Machine Learning
Krish Naik
46 Tutorial 29-R square and Adjusted R square Clearly Explained| Machine Learning
Tutorial 29-R square and Adjusted R square Clearly Explained| Machine Learning
Krish Naik
47 Cross Validation using sklearn and python | Machine Learning
Cross Validation using sklearn and python | Machine Learning
Krish Naik
48 Handling Missing Data Easily Explained| Machine Learning
Handling Missing Data Easily Explained| Machine Learning
Krish Naik
49 Deploy Machine Learning Model using Flask
Deploy Machine Learning Model using Flask
Krish Naik
50 Deployment of Deep Learning Model using Flask
Deployment of Deep Learning Model using Flask
Krish Naik
51 How to Visualize Multiple Linear Regression in python
How to Visualize Multiple Linear Regression in python
Krish Naik
52 K Nearest Neighbour Easily Explained with Implementation
K Nearest Neighbour Easily Explained with Implementation
Krish Naik
53 Predicting Heart Disease using Machine Learning
Predicting Heart Disease using Machine Learning
Krish Naik
54 Predicting Lungs Disease using Deep Learning
Predicting Lungs Disease using Deep Learning
Krish Naik
55 Stock Sentiment Analysis using News Headlines
Stock Sentiment Analysis using News Headlines
Krish Naik
56 Random Forest(Bootstrap Aggregation) Easily Explained
Random Forest(Bootstrap Aggregation) Easily Explained
Krish Naik
57 Voting Classifier(Hard Voting and Soft Voting Classifier)
Voting Classifier(Hard Voting and Soft Voting Classifier)
Krish Naik
58 Credit Card Fraud Detection using Machine Learning from Kaggle
Credit Card Fraud Detection using Machine Learning from Kaggle
Krish Naik
59 Hyperparameter Optimization for Xgboost
Hyperparameter Optimization for Xgboost
Krish Naik
60 Tutorial 45-Handling imbalanced Dataset  using python- Part 1
Tutorial 45-Handling imbalanced Dataset using python- Part 1
Krish Naik

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