Master Program in Applied AI, Gen AI & Data Science in Tamil
Course Instructor:
Ramisha Rani K
₹50000.00 ₹80000.00 38% OFF
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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 Exercises • 550 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
Ramisha Rani K
5 Courses • 1894 Students
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