Agentic AI Batch- Sales Assistant Agentic AI Demo

Krish Naik · Intermediate ·🤖 AI Agents & Automation ·1y ago

Key Takeaways

Demonstrates building a sales assistant agentic AI application

Full Transcript

Hey there, I'm Chris from Chris Nake Academy. How can I help you today? Hey. Hi. How are you doing? I am doing well. Thank you for asking. I'm How can I help you today? I want to know about the course details. Okay, I can help you with that. Which course are you interested in? We have a range of courses available. Yeah, newly launching agenti 2.40 course. Okay, you're asking about the 2.0 know liveogenic AI and generative AI application with cloud boot camp course. I can provide you with information on that. Would you like to know about the course syllabus, the learning objectives or something else? Yeah, can you please give me a brief summary of the course details and course? This course is designed for AI developers, machine learning engineers, data scientists and software engineers looking to build expertise in agenic AI, multi- aent systems and AI powered automation. It will equip you with the knowledge and hands-on skills required to develop, deploy, and manage AI agents at scale. You'll gain a strong foundation in Agentic AI frameworks, multi-agent collaboration, realworld automation, and end-to-end AI deployment with practical experience through real world projects. The course is expected to take around 4 months to complete with about 6 hours of study per week. Would you like me to elaborate on any specific aspect of the course such as the syllabus or the tools you'll be using? No, I just want to know about the mentors. The mentors for this course are Surang Shu Pal, Mayang Agaral, Krishnik and Sunny. Surang Shu Pal is a senior data scientist and my Agarwal is a senior ML engineer. Do you want to know anything else about the course? No, thank you. You're welcome. Is there anything else I can help you with regarding the course or were you perhaps interested in purchasing it? Yeah, I just want to purchase this course. Can you help me out? Pawan Kumar, your phone number is notank.in. Do you have any other questions or is there anything else I can help you with? Now you can see this workflow run successfully and let me see what are the details it fetch from the here you can see this fetch name, phone number, email address and it send those details to the agent and what this agent does is it just store all it just stores all the details which are coming from agent wise agent and stored inside the you can see all the details here. See my number email address and by default the sales status will be not purchase because they haven't done the payment yet. So what it will do is I have created another workflow for following follow email agent. What this workflow does is it will trigger it will trigger every day at 8 a.m. and it will send it will send a mail to those students who have not purchased it saying like few days left then it will send you know kind of reminder. Let me run it. Test this workflow. See it is sending it's reading and it sent the email for the student. I will show you the mail. Let's see. Let me refresh it. See I want to make final sec in the in the boot camp. See and also this giving the payment cost. We click on this payment link. It will redirect to us the course and just need to do all this to complete this thing. That's it. And this automation will will save you know it's like $2,000 per hour. I can say yeah this is all about my budget.

Original Description

Amazing Demo By Pavan. Creating this Sales Assistant Agentic AI Application -------------------------------------------------------------- Join our 2.0 Live Agentic AI With MCP Batch starting from May 10th 2025 Course Enrollment Link: https://www.krishnaik.in/liveclass/2.0%20Live%20Agentic%20AI%20And%20Generative%20AI%20Application%20With%20Cloud%20Bootcamp Reach out to Krish Naik's counselling team on 📞 +919111533440 in case of any queries we are there to help you out.
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Playlist

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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
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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
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12 Pedestrian Detection using OpenCV from Videos
Pedestrian Detection using OpenCV from Videos
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13 Face and Eye Detection from Videos using HAAR Cascade Classifier
Face and Eye Detection from Videos using HAAR Cascade Classifier
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14 Reading, Writing and Displaying images with Opencv| OpenCV Tutorial
Reading, Writing and Displaying images with Opencv| OpenCV Tutorial
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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
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19 OpenPose Tutorial with Tensorflow
OpenPose Tutorial with Tensorflow
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20 Multiple Linear Regression using python and sklearn
Multiple Linear Regression using python and sklearn
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21 Dimensional Reduction| Principal Component Analysis
Dimensional Reduction| Principal Component Analysis
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22 Movie Recommender System using Python
Movie Recommender System using Python
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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
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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
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30 Create custom Alexa Skill- Lambda function- Part2
Create custom Alexa Skill- Lambda function- Part2
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31 Hierarchical Clustering intuition
Hierarchical Clustering intuition
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32 Implement Transfer Learning with a generic Code Template
Implement Transfer Learning with a generic Code Template
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33 Gender Classifier and Age Estimator using Resnet Convolution Neural Network
Gender Classifier and Age Estimator using Resnet Convolution Neural Network
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34 Unlock Your Application With Your Face using OpenCV
Unlock Your Application With Your Face using OpenCV
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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
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36 Complete Life Cycle of a Data Science Project
Complete Life Cycle of a Data Science Project
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37 How we can apply Machine Learning in Finance
How we can apply Machine Learning in Finance
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38 Deep Learning in Medical Science
Deep Learning in Medical Science
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39 How to switch your career to Data Science.
How to switch your career to Data Science.
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40 Linear Regression Mathematical Intuition
Linear Regression Mathematical Intuition
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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?
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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
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45 Feature Selection Techniques Easily Explained | Machine Learning
Feature Selection Techniques Easily Explained | Machine Learning
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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
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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)
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58 Credit Card Fraud Detection using Machine Learning from Kaggle
Credit Card Fraud Detection using Machine Learning from Kaggle
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59 Hyperparameter Optimization for Xgboost
Hyperparameter Optimization for Xgboost
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60 Tutorial 45-Handling imbalanced Dataset  using python- Part 1
Tutorial 45-Handling imbalanced Dataset using python- Part 1
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