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Master Program in Applied AI, Gen AI & Data Science in Tamil

Course Instructor Ramisha Rani K

₹50000.00 ₹80000.00 38% OFF

To enroll in this course, please contact the Admin
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Course Overview

Schedule of Classes

Course Curriculum

1 Subject

Master Program in Applied AI, Gen AI & Data Science in Tamil

27 Exercises550 Learning Materials

Week-0-Ground Work

0)Mind Preparation

Video
00:10:35

Important Update

Video
00:01:22

1) Professional Social Media Growth

Video
00:02:44

2) Linkedin-1

Video
00:08:02

3) Linkedin-2

Video
00:05:40

4) Linkedin-3

Video
00:04:08

5) Quiz and Baby Steps

Video
00:02:06

6) GitHub

External Link

7) Extra Assignments

Video
00:02:01

8) How to take notes

Video
00:02:34

9) Lets Start with AI

Video
00:00:28

LinkedIn Private Group

Video
00:04:43

Download- Resources

How to Download Resources

Video
00:02:19

Download Resources-Dataset-PPT Link

PDF

Week-1-Travell Path

1) What is Artificial Intelligence?

Video
00:04:13

2) How Artificial Brain Created?

Video
00:03:46

3) End Goal of AI

Video
00:02:35

4) Application of AI?

Video
00:06:01

5) Video Application of AI?

Video
00:07:54

6) Comparision Elements AI and HI?

Video
00:04:32

7) AI-Domain?

Video
00:03:30

8) Relationship Between Domains?

Video
00:05:34

9) Domain Selection?

Video
00:02:00

10) Domain Selection-Dataset-Must Watch?

Video
00:10:27

11) Why Data Science?

Video
00:04:09

12) Only a man-like is AI?

Video
00:08:19

13) Relation between AI and Python?

Video
00:02:38

14) Relationship Between Spyder-Anaconda-jupyter-Python?

Video
00:05:59

15) Traditional Vs AI?

Video
00:06:59

16) How to Make money using AI?

Video
00:05:52

17) Heart of AI?

Video
00:01:07

Test - 1

Exercise

Week-2-Python

1) Python Tool Names?

Video
00:02:51

2) Checking requirements?

Video
00:02:35

3) How to download Anaconda Software?

Video
00:01:11

3.1 Anaconda Installation Process

Video
00:05:08

4) How to open Jupyter Notebook?

Video
00:03:19

5) Purpose of Programming Language?

Video
00:05:08

6) Print_Statement-1?

Video
00:02:03

7) Print Statemen-2?

Video
00:10:58

8) Variable & Assignment Operator?

Video
00:07:25

9) Variable Hands-on

Video
00:09:22

10) Pro-Secret to write efficient code?

Video
00:07:14

11) Input Statement?

Video
00:07:57

11_0_Input_Statement_Update

Video
00:03:08

Test - 2

Exercise

12) Control Structures-If?

Video
00:09:42

13) Indentation

Video
00:02:14

14) if-else?

Video
00:06:19

15) if-elif?

Video
00:11:27

16) if-overview?

Video
00:02:47

17) for-loop?

Video
00:10:02

18) How to write logic?

Video
00:14:37

19) Range

Video
00:05:09

20) How to finish Assignments?

Video
00:08:04

1-Baby Steps Control Structures

PDF

Extra Assignment-level-1-python

PDF

Extra Assignment-2-Level-2-python

PDF

Extra Assignment-Level-3-Python

PDF

21) Recall

Video
00:02:47

22) OOps

Video
00:04:24

23) Function-1

Video
00:05:25

24) Functions-2

Video
00:10:54

25) Function-3

Video
00:17:34

26) Function-4

Video
00:11:16

27) Function-5

Video
00:11:45

4-Function-Assignment-1

PDF

28) Function-Assignments

Video
00:03:21

29) Class-1

Video
00:06:26

30) Class-2

Video
00:05:40

31) Class-3

Video
00:11:23

32) Class-1-Assignments

Video
00:03:45

5. Class-Assignments-1

PDF

33) Class-2-Assignments

Video
00:02:04

Test - 3

Exercise

34) Python - Interview Question

External Link

MCQ-Python

Exercise

How to practice Set Questions

External Link

Set Question python

ZIP

Week-3-Machine-Learning-Regression

1) Problem Identification in AI

Video
00:05:31

2) How to identify Supervised Learning

Video
00:11:26

3) How to identify Unsupervised Learning

Video
00:03:48

4) Difference Btw Super and Unsuper-Scenario Based

Video
00:05:06

5) How to identify Semi Supervised

Video
00:05:00

6) How to identify Supervised-Classification and Regression

Video
00:03:01

7) Mapping Domains with Learning

Video
00:02:51

8) Scenario based Example to identify problem-1

Video
00:07:15

9) Scenario based Example to identify problem-1-Dataset

Video
00:02:38

10) Scenario based Example to identify problem-2

Video
00:06:06

11) Problem Identification Assignments

Video
00:02:31

Problem Identification Assignments

PDF

12) Recall

Video
00:02:09

13) Two Phases of Artificial Intelligence

Video
00:05:47

14) Model Creation Learning Phase-1

Video
00:09:41

15) Deployment-Phase-2

Video
00:00:58

16) Algorithms

Video
00:02:16

17) Simple Linear Regression

Video
00:04:06

18) SLR-Requirement and Problem Identification

Video
00:04:21

19) Model Creation-Learning -Phase-SLR

Video
00:15:54

20) Evaluation Metrics SSE,SSR,SST

Video
00:09:41

21) R_Squared and AdjustedR_Square

Video
00:10:06

22) The Purpose of Training and Test set

Video
00:11:50

23) ML in HR Domain -Problem Identification

Video
00:13:16

24) Mapping the code with Phases

Video
00:16:04

25) Hands-on-SLR

Video
00:26:37

26) Hands-on-Model Creation Learning phase-1

Video
00:15:26

27) Hands-on-How to save model

Video
00:06:27

28)Hands on deployment Phase

Video
00:04:50

29) How to do Assignment-Baby Step-2

Video
00:03:20

30) Recall

Video
00:01:27

31) Multiple Linear Regression

Video
00:06:17

32) PS Ai in Business Intelligence

Video
00:03:37

33) Nominal and Ordinal

Video
00:11:18

34) Hands-on-MLR-1

Video
00:04:51

35) Hands-on-MLR-2

Video
00:23:45

36) SVM

Video
00:14:46

37) Standard

Video
00:05:32

38) ML-Secret

Video
00:08:29

39) Hands-on-SVM

Video
00:30:09

40) Decision Tree

Video
00:14:30

41) Hands-On Decision Tree

Video
00:18:37

Hyper Tuning parameter

Exercise

42) Random Forest

Video
00:09:29

43)Hands-on-RF

Video
00:08:32

44) Assignments-Regression-Baby Step-3

Video
00:05:45

45) Regression Assignment

PDF

46) Boosting Algorithm

Video
00:10:30

47) How to install Library

Video
00:05:47

48) Cross Validation

Video
00:10:18

49) GridSearchCV

Video
00:18:45

50) Hands-on GridsearchCV

Video
00:13:05

51) How to select model using GridsearchCV

Video
00:07:00

1. SVR-Grid

PDF

2. DR-Grid

PDF

3. RF-Grid

PDF

4. RF-Grid-Without Training and Testing

PDF

AdvancedTechqniue-How to handle preprocessed Input and Output during Deployment

Video
00:17:28

Hands-on-To handle preprocessed input deployment phase

Video
00:18:35

Hands-on- Preprocessed input and output

Video
00:17:32

MCQ- ML Regression

Exercise

Week-4.1-Machine-Learning-Classification

1) Intro to Classification

Video
00:09:42

2) Hands-on walkthrough

Video
00:12:43

3) Confusion Matrix-1

Video
00:10:14

4) Confusion Matrix-2

Video
00:21:20

5) Hands-on-RF

Video
00:06:29

6) Hands-on-DT

Video
00:04:58

7) Hands-on-SVM

Video
00:02:35

8) Logistic Regression

Video
00:05:21

9) Hands-on-Log

Video
00:11:42

10) KNN

Video
00:06:49

11) KNN-hands-On

Video
00:05:17

12) Navie bayes

Video
00:12:41

13)Hands-on NB

Video
00:04:34

14) All Algorthims- Must Watch

Video
00:07:01

15) Grid-Log-Hands-on

Video
00:12:23

16) Grid SVM-DT-RF

Video
00:04:24

17) Assignment Classification

Video
00:03:48

Assignment Classification

PDF

MCQ- ML Classification

Exercise

Week-4.2-Machine-Learning-Clustering

1) Virtual Environment

Video
00:16:18

2) Virtual-Hands-on

Video
00:13:31

3) K-Means Clustering

Video
00:07:58

4) KMeans-Hands-on-1

Video
00:20:39

5) KMeans-Hands-on-2

Video
00:11:35

6) K-Means-Code-Explainnation

Video
00:20:40

7) Agglomerative

Video
00:05:16

8) Assignment-Clustering

Video
00:03:05

9) All Clustering Explanations

Video
00:35:17

Question Bank- Machine Learning

External Link

MCQ- ML Clustering

Exercise

Set Questions-ML

ZIP

Week-4.3-Important Practice-Coding and Error Handling

1. Code Flow

Video
00:10:50

2. Secret Hack to write Optimized Code

Video
00:16:04

3.Syntax Error

Video
00:14:32

MCQ- Error Handling

Exercise

Add-on-1:Self Branding: LinkedIn

1. Self Branding -LinkedIn

Video
00:10:32

2. Self Branding LinkedIn

Video
00:09:11

Important Groups to follow

Video
00:01:38

4.How to prepare the content for self branding

Video
00:07:36

5. How to add python Notebook

Video
00:06:36

6.How to edit canva post

Video
00:11:02

7.How to post in Liknedin and Groups

Video
00:04:22

Linkedin Group PDF

PDF

Social Media linkedin

PDF

8.Github Dashboard

Video
00:10:25

Week-5-Data Science-Univariate Analysis

1) Intro to Data-Science

Video
00:23:01

2) Types of Analysis

Video
00:06:30

3) Types of Column

Video
00:08:23

4) Quan and Qual-1

Video
00:25:26

5) Quan and Qual-2

Video
00:40:55

6) Concepts under Univariate

Video
00:02:34

7) Measure of Central Tendency

Video
00:23:16

8) MCT-hands-on-1

Video
00:09:05

9) Hands-on-MCT-2

Video
00:27:28

10) Percentile

Video
00:11:48

11) Percentile-Hands-on

Video
00:16:17

12) IQR

Video
00:19:31

13) Hands-on-IQR

Video
00:12:01

14) Finding-Outliers column

Video
00:15:46

15) Replacing Outliers

Video
00:10:52

16) Frequency

Video
00:07:25

17) Hands-on Frequency

Video
00:18:06

18) LinkedIn Post

Video
00:01:26

19) Histogram, Skewness, Kurtosis

Video
00:13:13

20) Hands-on HSK

Video
00:06:41

21) Data-Preprocessing-Hands-on

Video
00:30:04

22) Data-Preprocessing-update

Video
00:01:20

23) Variance and Std variance

Video
00:09:39

24) Hands-on Std and Variance

Video
00:03:27

25) Normal Distribution

Video
00:12:46

26) Probability Density Function

Video
00:04:26

27) Hands-on-PDF-CDF

Video
00:21:14

28) Hands-on-CDF

Video
00:02:05

29) Standard Normal Distribution

Video
00:07:24

30) Hands-on-SND

Video
00:02:32

31) Z-Score

Video
00:06:05

32) Z-Score Application

Video
00:03:31

MCQ- DS (Univariate)

Exercise

Week-6-Data Science-Bivariate Analysis

1) Co-Variance and Correlation

Video
00:11:56

2) Hands-on-Covariance and Correlation

Video
00:09:56

3) Assignment Solution

Video
00:04:26

4) Multicolinearity

Video
00:08:42

5) Hands-on-VIF

Video
00:12:45

6) Hemo and Hetro

Video
00:04:30

7) T-Test

Video
00:05:36

8) Hands-on-T-Test

Video
00:13:20

9) Hypothesis Testing

Video
00:11:43

10) Hypothesis Hands-on

Video
00:06:50

11) ANAVO

Video
00:14:27

12) Hands-on ANAVO

Video
00:03:45

13) Assignment-Data Analysis

Video
00:05:35

14) Assignment Question PDF

PDF

Question Bank-Data Science

External Link

MCQ- DS (Bivariate)

Exercise

Week-7-Data Visualization-Seaborn-Tableau-Data Studio

1) Seaborn-1

Video
00:20:20

2) Seaborn-2

Video
00:08:11

3) Data Studio-1

Video
00:06:26

4) Data Studio-2

Video
00:19:30

5) Data Studio-3

Video
00:12:45

6) Tableau-1

Video
00:12:04

7) Tableau-2

Video
00:06:40

8) Tableau-3

Video
00:07:58

9) Zomato Dataset

Video
00:06:44

Assignment Zomato Dataset

PDF

MCQ- Data Visualization

Exercise

Set Question Data Science

ZIP

Week-8.1:Advanced ML-Feature Selection

1) Feature Selection and Dimension Reduction

Video
00:07:45

2) Select k Algorithm

Video
00:06:20

3) Hands-on Select K algorithm

Video
00:21:13

4) RFE

Video
00:05:29

5) Hands-on-RFE

Video
00:06:03

6) Advanced ML flow

Video
00:03:49

MCQ- Advanced ML (Feature Selection)

Exercise

Week-8.2:Advanced ML-Dimensionality Reduction

1) Scalar and Vector

Video
00:09:22

2) PCA

Video
00:06:20

3) Hands-on PCA

Video
00:04:00

4) Hands-on LDA

Video
00:01:35

Question Bank- Machine Learning

External Link

MCQ- Advanced ML (Dimensionality Reduction)

Exercise

Advanced Techniques

1) Fit

Video
00:02:34

2) Fit_Transform

Video
00:03:35

3) Transform

Video
00:01:49

4) Over fitting

Video
00:03:41

5) Under fitting

Video
00:01:12

6) Best fitting

Video
00:01:42

7)Twocases

Video
00:17:28

8)Hands-on-To handle preprocessed input deployment phase

Video
00:18:35

9)Hands-on- Preprocessed input and output

Video
00:17:32

Week-9.1: Machine Learning and Data Science Capstone Project

1) Assignment Instruction

Video
00:05:37

MCQ- ML & DS Capstone Project

Exercise

2) How to collect dataset for Machine Learning?

External Link

Week-9.2-Web Development-Shortcut Way

1) Web Development-1

Video
00:05:17

2) Web Development-2

Video
00:06:33

3) Web Development-3

Video
00:17:17

4) Web Develop-4

Video
00:05:54

MCQ- Web Development

Exercise

Week-9.3-Web Development Detailed Way

Intro to Web Development

Video
00:03:42

2) Web Development Demo

Video
00:02:40

3) Create project and App

Video
00:06:55

4) Setup Must watch

Video
00:05:04

5) Settings

Video
00:05:25

6) Forms

Video
00:03:26

7) Models

Video
00:02:58

8) Input Html page

Video
00:06:03

9) Views-1

Video
00:03:46

10) Get and Post

Video
00:02:31

11) Backend View

Video
00:03:55

12) Processed Output

Video
00:01:57

13) Output page

Video
00:04:12

14) APP urls

Video
00:04:10

15) Project URL

Video
00:02:40

16) Data base comment

Video
00:08:20

17) Classification Walkthrough

Video
00:05:30

Week-10: Recommendation System

1) User based- Intuition

Video
00:17:03

2) User Based-1-Hands-On

Video
00:20:38

3) User-Based-2-Hands-On

Video
00:16:48

4) Item based Recommendation System

Video
00:05:21

5) Hands-on Item based

Video
00:10:11

6) Content Based Recommendation

Video
00:13:18

7) Hands-on CBR-1

Video
00:18:23

8) Hands-on CBR-2

Video
00:05:05

9) Popularity based

Video
00:04:33

MCQ- Recommendation System

Exercise

Set Questions - AdvancedML

ZIP

Week-10.1-MySQL

1) What is SQL and Why?

Video
00:20:26

2) Installation Process for MySQL-Workbench

Video
00:09:55

3) Difference between Database and Tables

Video
00:03:59

4) SQL Commands Segregation

Video
00:07:38

5) How to Create Database and Table in mySql

Video
00:13:37

6) Creating Table

Video
00:22:47

7) Data Definition Lanaguage-1

Video
00:11:08

8) Primary Key vs Foreign Keys

Video
00:13:46

9) Data Manipulation Language-1-Insert, Update

Video
00:12:30

10. Transaction Control Language- Transaction, Savepoint, Rollback, Commit

Video
00:09:05

11) Data Query Language and Data Retrieval Language

Video
00:17:30

12) DQL-DRL-2

Video
00:08:45

13) Joins Purpose

Video
00:19:33

14) Join-Inner, Left, Right

Video
00:08:04

15) Join- Natural Joins

Video
00:01:26

16) Join- hands on

Video
00:12:03

17) Data Control Language- Grant, Revoke

Video
00:05:24

18) How to do Assignments-Amazon-Netflix

Video
00:04:17

Question Bank- SQL

External Link

MCQ- MySQL

Exercise

Set Question MySql

ZIP

Week-11: Deep Learning Module

1) How Deep Learning differs from Machine Learning

Video
00:11:37

2) How Human Brain works-Neural Network

Video
00:09:15

3) How Computer Understands Image

Video
00:16:05

4) ANN-1

Video
00:24:21

5) ANN-2

Video
00:14:05

6) ANN-3

Video
00:05:25

7) ANN Visual Video from 3 Blue 1 Brown

External Link

8) Gradient descent, how neural networks learn | Chapter 2, Deep learning

External Link

9) What is backpropagation really doing? | Chapter 3, Deep learning

External Link

10) Backpropagation calculus | Chapter 4, Deep learning

External Link

11) Hands-on-ANN-1

Video
00:13:05

12) Hands-on-ANN-2

Video
00:11:19

13) Hands-on-ANN-3

Video
00:06:50

14) Hands-on-ANN-4

Video
00:11:30

15) Hands-on-ANN-5

Video
00:13:31

16) Hands-on-ANN-6

Video
00:07:36

17) Hands-on-ANN-7

Video
00:07:02

18) Hands-on-ANN-8

Video
00:10:10

19) Hands-on-ANN-9

Video
00:06:23

20) Hands-on-ANN-10

Video
00:09:37

21) CNN-1

Video
00:10:05

22) CNN-2

Video
00:19:09

23) CNN-3

Video
00:11:51

24) CNN-4

Video
00:12:06

25) CNN-5

Video
00:13:13

26) CNN-6-Hands-on

Video
00:25:11

27) CNN-7-Hands-on

Video
00:06:29

28) How to explore more codes

Video
00:20:50

29) Pre-Trained Model

Video
00:15:35

30) Transfer Learning

Video
00:13:03

31) Transfer Learning Matrix

Video
00:09:17

32) Deep Learning flow

Video
00:02:03

Librarypdate

Video
00:01:11

33) Face Mask Detection-1

Video
00:11:31

34) Face Mask Detection-2

Video
00:12:06

35) Face Mask Detection-3

Video
00:27:04

36) FaceMaks_Detection-4

Video
00:14:21

37) FaceMask_Detection-5 & Assignment at end(Must Do)

Video
00:15:02

38) How to do AI Application using Pre Trained Models

Video
00:26:41

39) Deep Learning Assignment Must Do

Video
00:09:58

Question Bank- Deep Learning

External Link

40) How to collect dataset for Deep Learning?

External Link

MCQ- Deep Learning

Exercise

Set Questions Deep Learning

External Link

Set Question Times Series

ZIP

Week 12: Time Series Analysis

1) Intro to Time Series

Video
00:14:34

2) Share Market basic

Video
00:11:06

3) Time Series is a Regression

Video
00:04:52

4) Time series vs ML Regression

Video
00:07:26

5) Components in Time Series

Video
00:08:11

6) Assumption in Time Series

Video
00:09:25

7) How to overcome Non-Stationarity Series

Video
00:10:36

8) EDA-Stock Data

Video
00:19:00

9) Stationarity Check Hypothesis

Video
00:18:50

10) Auto Correlation in Time Series

Video
00:10:19

11) Partial Auto Correlation

Video
00:07:16

12) Auto Regression-1

Video
00:05:55

13) Auto Regression-2

Video
00:09:02

14) Training Set and Test Set Split

Video
00:18:00

15) Model Creation and Forecasting

Video
00:05:31

16) User Defined Function

Video
00:12:48

17) Moving Average

Video
00:05:48

18) Moving Average-Hands-On

Video
00:07:01

19) ARMA,ARIMA

Video
00:04:04

20) Hands-On MA

Video
00:09:05

21) Hands-on Sarimax

Video
00:01:43

22) VAR

Video
00:05:38

23) Hands-on VAR

Video
00:06:45

Question Bank Time series

External Link

MCQ- Time Series Ananlysis

Exercise

Week-13:Natural Language Processing

1) Types of Process in NLP

Video
00:07:25

2) How Computer Understands Text

Video
00:09:09

3) Problem Statement

Video
00:07:22

4) Hands-on-1

Video
00:17:49

5) Hands-on-2

Video
00:04:05

6) IT-IDT Vector

Video
00:05:19

7) WhatsApp chat Pre-Processing

Video
00:15:48

8) WhatsApp Chat

Video
00:11:41

9) Sentimental Analysis

Video
00:16:49

10) Topic Modelling

Video
00:16:43

11) Word Cloud

Video
00:00:49

12) WhatsApp Demo and Assignment

Video
00:09:05

NLP Assignment

PDF

Question bank- NLP

External Link

MCQ- NLP

Exercise

Week-13:1-NLP+ Deep Learning(Generative AI)

1. Introduction to NLP+DL

Video
00:05:08

2. What is the need of Word Embedding

Video
00:17:52

3. Word2Vec Continuous Bag of Words

Video
00:25:04

4. Word2Vec Skip Gram

Video
00:05:12

5. Hands-on Word Embedding

Video
00:22:54

6. Introduction to RNN

Video
00:17:06

7. Why RNN is a Failure Model

Video
00:11:25

8. Sigmoid Tanh

Video
00:08:03

9. LSTM1

Video
00:12:18

10. LSTM2

Video
00:33:48

11. Seq 2 Seq

Video
00:27:09

12. Hands-on LSTM Seq2Seq

Video
00:16:23

13. Transformer Introduction

Video
00:18:27

14. Transformer Input Embedding

Video
00:10:55

15. Positional Encoding

Video
00:27:31

16. Single Head Query Key Value

Video
00:19:36

17. Single Head Attention Filter

Video
00:25:09

18. Multi Head Attention

Video
00:05:10

19. Residual Connection

Video
00:07:33

20. Decoder Output Module

Video
00:24:00

Question Bank- NLP

External Link

MCQ- GenAI

Exercise

Set Question-NLP

ZIP

Week-14: ChatGPT API - Advanced Techniques(Generative AI)

0) What is API?

Video
00:11:52

1.ChatGpt API Introduction

Video
00:06:07

2. Open ai API and Level-1 Code

Video
00:19:34

3.Chatbot model customized Chatgpt

Video
00:11:28

4. Create end user ChatGPT with sharable Link

Video
00:04:10

5.Buliding Systems with ChatGpt API-Introduction

Video
00:18:45

6. BSWC Problem Statement

Video
00:19:11

7.BSWC- Classify the inputs

Video
00:15:11

8. BSWC-Moderation

Video
00:12:36

9. BSWC- Chaining Prompting

Video
00:08:37

10.BSWC-Chain promting-2

Video
00:10:36

11. BSWC - Chainpromting Continuation

Video
00:01:08

12- BSWC- Check Outputs

Video
00:04:54

13.BSWC- End to End System

Video
00:24:02

14.BSWC- Evaluate-1

Video
00:13:54

15.BSWC- Evaluate2

Video
00:12:37

16. Using Gemini and Ollama

Video
00:05:13

17.Ollama Installation

Video
00:07:24

18. How to Generate Gemini API

Video
00:05:27

MCQ- Chatgpt API

Exercise

Week-15: Real Time Application with ChatGpt API(Generative AI)

1) Real Time Implementation Website Demo

Video
00:07:30

2)Overview flow of Realtime Application

Video
00:18:11

3) Website - AI Chatbot -Step-1

Video
00:08:30

4) Website - AI Chatbot -Step-2

Video
00:16:55

5) Website - AI Chatbot -Step-3

Video
00:14:00

6) Website - AI Chatbot -Step-4

Video
00:08:57

7) Website - AI Chatbot -Step-5

Video
00:22:55

7.1) How to give open API Key in Replit

Video
00:01:38

8) Website - AI Chatbot -Step-6

Video
00:26:07

9) Website - AI Chatbot -Step-7

Video
00:14:46

10) Website - AI Chatbot -Step-8

Video
00:15:19

Question Bank- LLM

External Link

MCQ- GenAI Realtime application

Exercise

INTRODUCTION TO AI

Week-16-RAG(Retrieval Augmented Generative))

1.Why RAG?

Video
00:20:51

2.Working Principle of RAG

Video
00:13:15

3.Hands_on_with_Langchain_ChromaDB_Gemini

Video
00:21:34

MCQ- RAG

Exercise

Set Question - Gen AI

ZIP

Week-17: Deployment on Google cloud platform

1.Deployment Introduction

Video
00:04:57

2. Download Editor Notepad

Video
00:02:47

3. Deployment Cloud Platforms

Video
00:05:43

4. Deployment Cloud Procedures

Video
00:04:42

5. Running Flask ML application on local host

Video
00:33:42

6. Preparing Environment file

Video
00:11:19

7. Deployment on GCP App Engine Serverless Procedure

Video
00:43:28

8. Docker file Introduction

Video
00:12:25

9. Deployment Procedure Docker Localhost

Video
00:05:43

10. Deployment Procedure DockerLocalHost2

Video
00:25:42

11.Deployment Procedure Docker LocalHost 3

Video
00:16:24

12. Deployment GCP Through Docker Procedure

Video
00:25:42

13. Deployment on GCP Through Kubernetes

Video
01:02:22

14) CI/CD - Introduction

Video
00:11:23

15) Git-DOwnload-CI/CD

Video
00:14:51

16) GCPCloudBuild-CI/CD

Video
00:14:43

17) How CI/CD making changes to the Deployment world

Video
00:12:20

18) Yaml-Explanation-CI/CD

Video
00:03:58

19) Overall flow of CICD procedure

Video
00:02:29

MCQ- GCP

Exercise

Week-18: AI Agents

1.Introduction to AI Agents

Video
00:08:01

2. AI Agents Types

Video
00:06:05

3. Why AI Agents?

Video
00:11:55

4.LLM Models we Use

Video
00:05:19

5. Two Agent Code Walk Through

Video
00:19:59

6. Two Agent Code Detailed Explanation

Video
00:12:44

7. Two Agents with AgentOps

Video
00:06:05

8.Two Agent using Gemini

Video
00:17:44

9. Ollama Local Models

Video
00:02:31

10.How to use OllamaModel

Video
00:11:21

11.Two Agents Retrieve User Proxy

Video
00:17:42

12. Two Agent Retrieve Gemini Ollama

Video
00:03:41

13. Auto gen DOcumentation Overview

Video
00:02:57

14. Multi Agents - Sequential Chat with Options

Video
00:20:06

15. Sequential Chat Agent Problem Statement

Video
00:10:23

16. Sequential Chat handson with Call to Action

Video
00:20:50

17. Multi Agent Nested Agents Problem Statement

Video
00:11:05

18.Nested Chat Hands-On

Video
00:13:20

MCQ- AI Agents

Exercise

Set Question - Ai Agents

ZIP

Week-19- AWS Sagemaker AI

1.What is AWS

Video
00:12:03

2.What are the service under AWS

Video
00:15:37

3.How to create AWS Account

Video
00:06:10

4.Login Process in AWS- Root User

Video
00:05:23

5.How to create S3 Bucket

Video
00:09:57

6.AWS Sagemaker AI Domain Intro

Video
00:08:47

7. How to create Domain in AWS Sagemaker AI

Video
00:14:33

8.How to push file from Sagemaker to s3 bucket -1-Hands -on

Video
00:12:01

9.How to push file from sagemaker to s3 bucket 2-hands-on

Video
00:10:15

10.Road Map for next goal

Video
00:13:09

11.Types of Training Jobs in AWS Sagemaker

Video
00:09:29

12. Script Mode

Video
00:09:41

13. Training Model Via Script Model

Video
00:22:48

14.Deploy and Create Server Based Endpoint

Video
00:15:53

15.Predict Via Server Based Endpoint in AWS

Video
00:05:50

16.Install VS Code

Video
00:03:16

17.Prediction Via Server Based End Point out of AWS

Video
00:13:01

18.How to Create IAM user

Video
00:13:24

19.How to Create Serverless endpoint

Video
00:07:01

20.How to use serverless endpoint out of AWS

Video
00:04:57

7.1 Must Watch How to stop running instance

Video
00:07:44

21. How to Delete Domain

Video
00:09:34

22.Purpose of EC2 Instance and 6 combination of deployment

Video
00:17:45

23.How to create EC2 Instance

Video
00:12:10

24.Deploying Local model on EC2 Instance

Video
00:24:04

25.Overview Of S3 Model Deployment

Video
00:17:58

26. S3 Model (Hardcoded)-Insurance

Video
00:11:56

27. S3 Model with Secret Key

Video
00:13:31

28 S3 Model Github EC2 Hosting

Video
00:26:21

Interview Questions 1: Python Basics

1) Conversion-1

Video
00:09:07

2) Conversion-2

Video
00:07:30

3) One Liner - For Loop

Video
00:09:19

4) Lambda Function

Video
00:16:01

5) Conversions-3

Video
00:05:30

6) Conversions-4

Video
00:06:09

7) Conversions-5

Video
00:08:49

Interview Questions 2: Pandas

1) Melt

Video
00:11:40

2) Pivot & Pivot Table

Video
00:05:45

3) Cross Tab

Video
00:03:30

4) Cut

Video
00:02:13

5) Merge

Video
00:02:32

6) Merge Ordered

Video
00:01:43

7) Concat

Video
00:03:09

8) Get_Dummies

Video
00:00:49

9) From Dummies

Video
00:00:54

10) Pandas_Handson-1

Video
00:16:21

11) Pandas_Handson-2

Video
00:05:08

12) Pandas_Handson-3

Video
00:08:38

13) Pandas_Handson-4

Video
00:04:50

14) Pandas_Handson-5

Video
00:04:17

15) Pandas Handson-6

Video
00:10:37

16) Pandas Handson-7

Video
00:04:17

17) Pandas Handson-8

Video
00:05:04

18) Pandas Handson-9

Video
00:18:57

19) Pandas Handson-10

Video
00:13:31

20) Pandas Handson-11

Video
00:12:56

21) Pandas Handson-12

Video
00:08:53

22) Pandas Handson-13

Video
00:08:37

23) Pandas Handson-14

Video
00:07:16

24) Pandas Handson-15

Video
00:06:35

Question Bank- Pandas

External Link

Interview Question Bank

HR-Interview Questions

External Link

Other Common Questions

External Link

Situation Interview Question

External Link

Over All Final Interview Questions

External Link

OverAll Drive Link

External Link

Course Instructor

tutor image

Ramisha Rani K

5 Courses   •   5791 Students