The Complete Artificial Intelligence and Data Science Course in Tamil
Course Instructor
Ramisha Rani K
₹45000.00 ₹60000.00 25% OFF
To enroll in this course, please contact the Admin
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Course Overview
Schedule of Classes
Course Curriculum
1 Subject
The Complete Artificial Intelligence and Data Science Course
27 Exercises • 521 Learning Materials
Week-0-Ground Work
0)Mind Preparation
Video
10:35
Important Update
Video
1:22
1) Professional Social Media Growth
Video
2:44
2) Linkedin-1
Video
8:2
3) Linkedin-2
Video
5:40
4) Linkedin-3
Video
4:8
5) Quiz and Baby Steps
Video
2:6
6) GitHub
External Link
7) Extra Assignments
Video
2:1
8) How to take notes
Video
2:34
9) Lets Start with AI
Video
028
LinkedIn Private Group
Video
4:43
Download- Resources
How to Download Resources
Video
2:19
Download Resources-Dataset-PPT Link
PDF
Week-1-Travell Path
1) What is Artificial Intelligence?
Video
4:13
2) How Artificial Brain Created?
Video
3:46
3) End Goal of AI
Video
2:35
4) Application of AI?
Video
6:1
5) Video Application of AI?
Video
7:54
6) Comparision Elements AI and HI?
Video
4:32
7) AI-Domain?
Video
3:30
8) Relationship Between Domains?
Video
5:34
9) Domain Selection?
Video
2:00
10) Domain Selection-Dataset-Must Watch?
Video
10:27
11) Why Data Science?
Video
4:9
12) Only a man-like is AI?
Video
8:19
13) Relation between AI and Python?
Video
2:38
14) Relationship Between Spyder-Anaconda-jupyter-Python?
Video
5:59
15) Traditional Vs AI?
Video
6:59
16) How to Make money using AI?
Video
5:52
17) Heart of AI?
Video
1:7
Test - 1
Exercise
Week-2-Python
1) Python Tool Names?
Video
2:51
2) Checking requirements?
Video
2:35
3) How to download Anaconda Software?
Video
1:11
3.1 Anaconda Installation Process
Video
5:8
4) How to open Jupyter Notebook?
Video
3:19
5) Purpose of Programming Language?
Video
5:8
6) Print_Statement-1?
Video
2:3
7) Print Statemen-2?
Video
10:58
8) Variable & Assignment Operator?
Video
7:25
9) Variable Hands-on
Video
9:22
10) Pro-Secret to write efficient code?
Video
7:14
11) Input Statement?
Video
7:57
11_0_Input_Statement_Update
Video
3:8
Test - 2
Exercise
12) Control Structures-If?
Video
9:42
13) Indentation
Video
2:14
14) if-else?
Video
6:19
15) if-elif?
Video
11:27
16) if-overview?
Video
2:47
17) for-loop?
Video
10:2
18) How to write logic?
Video
14:37
19) Range
Video
5:9
20) How to finish Assignments?
Video
8:4
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
2:47
22) OOps
Video
4:24
23) Function-1
Video
5:25
24) Functions-2
Video
10:54
25) Function-3
Video
17:34
26) Function-4
Video
11:16
27) Function-5
Video
11:45
4-Function-Assignment-1
PDF
28) Function-Assignments
Video
3:21
29) Class-1
Video
6:26
30) Class-2
Video
5:40
31) Class-3
Video
11:23
32) Class-1-Assignments
Video
3:45
5. Class-Assignments-1
PDF
33) Class-2-Assignments
Video
2:4
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
5:31
2) How to identify Supervised Learning
Video
11:26
3) How to identify Unsupervised Learning
Video
3:48
4) Difference Btw Super and Unsuper-Scenario Based
Video
5:6
5) How to identify Semi Supervised
Video
5:00
6) How to identify Supervised-Classification and Regression
Video
3:1
7) Mapping Domains with Learning
Video
2:51
8) Scenario based Example to identify problem-1
Video
7:15
9) Scenario based Example to identify problem-1-Dataset
Video
2:38
10) Scenario based Example to identify problem-2
Video
6:6
11) Problem Identification Assignments
Video
2:31
Problem Identification Assignments
PDF
12) Recall
Video
2:9
13) Two Phases of Artificial Intelligence
Video
5:47
14) Model Creation Learning Phase-1
Video
9:41
15) Deployment-Phase-2
Video
058
16) Algorithms
Video
2:16
17) Simple Linear Regression
Video
4:6
18) SLR-Requirement and Problem Identification
Video
4:21
19) Model Creation-Learning -Phase-SLR
Video
15:54
20) Evaluation Metrics SSE,SSR,SST
Video
9:41
21) R_Squared and AdjustedR_Square
Video
10:6
22) The Purpose of Training and Test set
Video
11:50
23) ML in HR Domain -Problem Identification
Video
13:16
24) Mapping the code with Phases
Video
16:4
25) Hands-on-SLR
Video
26:37
26) Hands-on-Model Creation Learning phase-1
Video
15:26
27) Hands-on-How to save model
Video
6:27
28)Hands on deployment Phase
Video
4:50
29) How to do Assignment-Baby Step-2
Video
3:20
30) Recall
Video
1:27
31) Multiple Linear Regression
Video
6:17
32) PS Ai in Business Intelligence
Video
3:37
33) Nominal and Ordinal
Video
11:18
34) Hands-on-MLR-1
Video
4:51
35) Hands-on-MLR-2
Video
23:45
36) SVM
Video
14:46
37) Standard
Video
5:32
38) ML-Secret
Video
8:29
39) Hands-on-SVM
Video
30:9
40) Decision Tree
Video
14:30
41) Hands-On Decision Tree
Video
18:37
Hyper Tuning parameter
Exercise
42) Random Forest
Video
9:29
43)Hands-on-RF
Video
8:32
44) Assignments-Regression-Baby Step-3
Video
5:45
45) Regression Assignment
PDF
46) Boosting Algorithm
Video
10:30
47) How to install Library
Video
5:47
48) Cross Validation
Video
10:18
49) GridSearchCV
Video
18:45
50) Hands-on GridsearchCV
Video
13:5
51) How to select model using GridsearchCV
Video
7:00
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
17:28
Hands-on-To handle preprocessed input deployment phase
Video
18:35
Hands-on- Preprocessed input and output
Video
17:32
MCQ- ML Regression
Exercise
Week-4.1-Machine-Learning-Classification
1) Intro to Classification
Video
9:42
2) Hands-on walkthrough
Video
12:43
3) Confusion Matrix-1
Video
10:14
4) Confusion Matrix-2
Video
21:20
5) Hands-on-RF
Video
6:29
6) Hands-on-DT
Video
4:58
7) Hands-on-SVM
Video
2:35
8) Logistic Regression
Video
5:21
9) Hands-on-Log
Video
11:42
10) KNN
Video
6:49
11) KNN-hands-On
Video
5:17
12) Navie bayes
Video
12:41
13)Hands-on NB
Video
4:34
14) All Algorthims- Must Watch
Video
7:1
15) Grid-Log-Hands-on
Video
12:23
16) Grid SVM-DT-RF
Video
4:24
17) Assignment Classification
Video
3:48
Assignment Classification
PDF
MCQ- ML Classification
Exercise
Week-4.2-Machine-Learning-Clustering
1) Virtual Environment
Video
16:18
2) Virtual-Hands-on
Video
13:31
3) K-Means Clustering
Video
7:58
4) KMeans-Hands-on-1
Video
20:39
5) KMeans-Hands-on-2
Video
11:35
6) K-Means-Code-Explainnation
Video
20:40
7) Agglomerative
Video
5:16
8) Assignment-Clustering
Video
3:5
9) All Clustering Explanations
Video
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
10:50
2. Secret Hack to write Optimized Code
Video
16:4
3.Syntax Error
Video
14:32
MCQ- Error Handling
Exercise
Add-on-1:Self Branding: LinkedIn
1. Self Branding -LinkedIn
Video
10:32
2. Self Branding LinkedIn
Video
9:11
Important Groups to follow
Video
1:38
4.How to prepare the content for self branding
Video
7:36
5. How to add python Notebook
Video
6:36
6.How to edit canva post
Video
11:2
7.How to post in Liknedin and Groups
Video
4:22
Linkedin Group PDF
PDF
Social Media linkedin
PDF
8.Github Dashboard
Video
10:25
Week-5-Data Science-Univariate Analysis
1) Intro to Data-Science
Video
23:1
2) Types of Analysis
Video
6:30
3) Types of Column
Video
8:23
4) Quan and Qual-1
Video
25:26
5) Quan and Qual-2
Video
40:55
6) Concepts under Univariate
Video
2:34
7) Measure of Central Tendency
Video
23:16
8) MCT-hands-on-1
Video
9:5
9) Hands-on-MCT-2
Video
27:28
10) Percentile
Video
11:48
11) Percentile-Hands-on
Video
16:17
12) IQR
Video
19:31
13) Hands-on-IQR
Video
12:1
14) Finding-Outliers column
Video
15:46
15) Replacing Outliers
Video
10:52
16) Frequency
Video
7:25
17) Hands-on Frequency
Video
18:6
18) LinkedIn Post
Video
1:26
19) Histogram, Skewness, Kurtosis
Video
13:13
20) Hands-on HSK
Video
6:41
21) Data-Preprocessing-Hands-on
Video
30:4
22) Data-Preprocessing-update
Video
1:20
23) Variance and Std variance
Video
9:39
24) Hands-on Std and Variance
Video
3:27
25) Normal Distribution
Video
12:46
26) Probability Density Function
Video
4:26
27) Hands-on-PDF-CDF
Video
21:14
28) Hands-on-CDF
Video
2:5
29) Standard Normal Distribution
Video
7:24
30) Hands-on-SND
Video
2:32
31) Z-Score
Video
6:5
32) Z-Score Application
Video
3:31
MCQ- DS (Univariate)
Exercise
Week-6-Data Science-Bivariate Analysis
1) Co-Variance and Correlation
Video
11:56
2) Hands-on-Covariance and Correlation
Video
9:56
3) Assignment Solution
Video
4:26
4) Multicolinearity
Video
8:42
5) Hands-on-VIF
Video
12:45
6) Hemo and Hetro
Video
4:30
7) T-Test
Video
5:36
8) Hands-on-T-Test
Video
13:20
9) Hypothesis Testing
Video
11:43
10) Hypothesis Hands-on
Video
6:50
11) ANAVO
Video
14:27
12) Hands-on ANAVO
Video
3:45
13) Assignment-Data Analysis
Video
5:35
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
20:20
2) Seaborn-2
Video
8:11
3) Data Studio-1
Video
6:26
4) Data Studio-2
Video
19:30
5) Data Studio-3
Video
12:45
6) Tableau-1
Video
12:4
7) Tableau-2
Video
6:40
8) Tableau-3
Video
7:58
9) Zomato Dataset
Video
6:44
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
7:45
2) Select k Algorithm
Video
6:20
3) Hands-on Select K algorithm
Video
21:13
4) RFE
Video
5:29
5) Hands-on-RFE
Video
6:3
6) Advanced ML flow
Video
3:49
MCQ- Advanced ML (Feature Selection)
Exercise
Week-8.2:Advanced ML-Dimensionality Reduction
1) Scalar and Vector
Video
9:22
2) PCA
Video
6:20
3) Hands-on PCA
Video
4:00
4) Hands-on LDA
Video
1:35
Question Bank- Machine Learning
External Link
MCQ- Advanced ML (Dimensionality Reduction)
Exercise
Advanced Techniques
1) Fit
Video
2:34
2) Fit_Transform
Video
3:35
3) Transform
Video
1:49
4) Over fitting
Video
3:41
5) Under fitting
Video
1:12
6) Best fitting
Video
1:42
7)Twocases
Video
17:28
8)Hands-on-To handle preprocessed input deployment phase
Video
18:35
9)Hands-on- Preprocessed input and output
Video
17:32
Week-9.1: Machine Learning and Data Science Capstone Project
1) Assignment Instruction
Video
5:37
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
5:17
2) Web Development-2
Video
6:33
3) Web Development-3
Video
17:17
4) Web Develop-4
Video
5:54
MCQ- Web Development
Exercise
Week-9.3-Web Development Detailed Way
Intro to Web Development
Video
3:42
2) Web Development Demo
Video
2:40
3) Create project and App
Video
6:55
4) Setup Must watch
Video
5:4
5) Settings
Video
5:25
6) Forms
Video
3:26
7) Models
Video
2:58
8) Input Html page
Video
6:3
9) Views-1
Video
3:46
10) Get and Post
Video
2:31
11) Backend View
Video
3:55
12) Processed Output
Video
1:57
13) Output page
Video
4:12
14) APP urls
Video
4:10
15) Project URL
Video
2:40
16) Data base comment
Video
8:20
17) Classification Walkthrough
Video
5:30
Week-10: Recommendation System
1) User based- Intuition
Video
17:3
2) User Based-1-Hands-On
Video
20:38
3) User-Based-2-Hands-On
Video
16:48
4) Item based Recommendation System
Video
5:21
5) Hands-on Item based
Video
10:11
6) Content Based Recommendation
Video
13:18
7) Hands-on CBR-1
Video
18:23
8) Hands-on CBR-2
Video
5:5
9) Popularity based
Video
4:33
MCQ- Recommendation System
Exercise
Set Questions - AdvancedML
ZIP
Week-10.1-MySQL
1) What is SQL and Why?
Video
20:26
2) Installation Process for MySQL-Workbench
Video
9:55
3) Difference between Database and Tables
Video
3:59
4) SQL Commands Segregation
Video
7:38
5) How to Create Database and Table in mySql
Video
13:37
6) Creating Table
Video
22:47
7) Data Definition Lanaguage-1
Video
11:8
8) Primary Key vs Foreign Keys
Video
13:46
9) Data Manipulation Language-1-Insert, Update
Video
12:30
10. Transaction Control Language- Transaction, Savepoint, Rollback, Commit
Video
9:5
11) Data Query Language and Data Retrieval Language
Video
17:30
12) DQL-DRL-2
Video
8:45
13) Joins Purpose
Video
19:33
14) Join-Inner, Left, Right
Video
8:4
15) Join- Natural Joins
Video
1:26
16) Join- hands on
Video
12:3
17) Data Control Language- Grant, Revoke
Video
5:24
18) How to do Assignments-Amazon-Netflix
Video
4:17
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
11:37
2) How Human Brain works-Neural Network
Video
9:15
3) How Computer Understands Image
Video
16:5
4) ANN-1
Video
24:21
5) ANN-2
Video
14:5
6) ANN-3
Video
5:25
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
13:5
12) Hands-on-ANN-2
Video
11:19
13) Hands-on-ANN-3
Video
6:50
14) Hands-on-ANN-4
Video
11:30
15) Hands-on-ANN-5
Video
13:31
16) Hands-on-ANN-6
Video
7:36
17) Hands-on-ANN-7
Video
7:2
18) Hands-on-ANN-8
Video
10:10
19) Hands-on-ANN-9
Video
6:23
20) Hands-on-ANN-10
Video
9:37
21) CNN-1
Video
10:5
22) CNN-2
Video
19:9
23) CNN-3
Video
11:51
24) CNN-4
Video
12:6
25) CNN-5
Video
13:13
26) CNN-6-Hands-on
Video
25:11
27) CNN-7-Hands-on
Video
6:29
28) How to explore more codes
Video
20:50
29) Pre-Trained Model
Video
15:35
30) Transfer Learning
Video
13:3
31) Transfer Learning Matrix
Video
9:17
32) Deep Learning flow
Video
2:3
Librarypdate
Video
1:11
33) Face Mask Detection-1
Video
11:31
34) Face Mask Detection-2
Video
12:6
35) Face Mask Detection-3
Video
27:4
36) FaceMaks_Detection-4
Video
14:21
37) FaceMask_Detection-5 & Assignment at end(Must Do)
Video
15:2
38) How to do AI Application using Pre Trained Models
Video
26:41
39) Deep Learning Assignment Must Do
Video
9:58
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
14:34
2) Share Market basic
Video
11:6
3) Time Series is a Regression
Video
4:52
4) Time series vs ML Regression
Video
7:26
5) Components in Time Series
Video
8:11
6) Assumption in Time Series
Video
9:25
7) How to overcome Non-Stationarity Series
Video
10:36
8) EDA-Stock Data
Video
19:00
9) Stationarity Check Hypothesis
Video
18:50
10) Auto Correlation in Time Series
Video
10:19
11) Partial Auto Correlation
Video
7:16
12) Auto Regression-1
Video
5:55
13) Auto Regression-2
Video
9:2
14) Training Set and Test Set Split
Video
18:00
15) Model Creation and Forecasting
Video
5:31
16) User Defined Function
Video
12:48
17) Moving Average
Video
5:48
18) Moving Average-Hands-On
Video
7:1
19) ARMA,ARIMA
Video
4:4
20) Hands-On MA
Video
9:5
21) Hands-on Sarimax
Video
1:43
22) VAR
Video
5:38
23) Hands-on VAR
Video
6:45
Question Bank Time series
External Link
MCQ- Time Series Ananlysis
Exercise
Week-13:Natural Language Processing
1) Types of Process in NLP
Video
7:25
2) How Computer Understands Text
Video
9:9
3) Problem Statement
Video
7:22
4) Hands-on-1
Video
17:49
5) Hands-on-2
Video
4:5
6) IT-IDT Vector
Video
5:19
7) WhatsApp chat Pre-Processing
Video
15:48
8) WhatsApp Chat
Video
11:41
9) Sentimental Analysis
Video
16:49
10) Topic Modelling
Video
16:43
11) Word Cloud
Video
049
12) WhatsApp Demo and Assignment
Video
9:5
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
5:8
2. What is the need of Word Embedding
Video
17:52
3. Word2Vec Continuous Bag of Words
Video
25:4
4. Word2Vec Skip Gram
Video
5:12
5. Hands-on Word Embedding
Video
22:54
6. Introduction to RNN
Video
17:6
7. Why RNN is a Failure Model
Video
11:25
8. Sigmoid Tanh
Video
8:3
9. LSTM1
Video
12:18
10. LSTM2
Video
33:48
11. Seq 2 Seq
Video
27:9
12. Hands-on LSTM Seq2Seq
Video
16:23
13. Transformer Introduction
Video
18:27
14. Transformer Input Embedding
Video
10:55
15. Positional Encoding
Video
27:31
16. Single Head Query Key Value
Video
19:36
17. Single Head Attention Filter
Video
25:9
18. Multi Head Attention
Video
5:10
19. Residual Connection
Video
7:33
20. Decoder Output Module
Video
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
11:52
1.ChatGpt API Introduction
Video
6:7
2. Open ai API and Level-1 Code
Video
19:34
3.Chatbot model customized Chatgpt
Video
11:28
4. Create end user ChatGPT with sharable Link
Video
4:10
5.Buliding Systems with ChatGpt API-Introduction
Video
18:45
6. BSWC Problem Statement
Video
19:11
7.BSWC- Classify the inputs
Video
15:11
8. BSWC-Moderation
Video
12:36
9. BSWC- Chaining Prompting
Video
8:37
10.BSWC-Chain promting-2
Video
10:36
11. BSWC - Chainpromting Continuation
Video
1:8
12- BSWC- Check Outputs
Video
4:54
13.BSWC- End to End System
Video
24:2
14.BSWC- Evaluate-1
Video
13:54
15.BSWC- Evaluate2
Video
12:37
16. Using Gemini and Ollama
Video
5:13
17.Ollama Installation
Video
7:24
18. How to Generate Gemini API
Video
5:27
MCQ- Chatgpt API
Exercise
Week-15: Real Time Application with ChatGpt API(Generative AI)
1) Real Time Implementation Website Demo
Video
7:30
2)Overview flow of Realtime Application
Video
18:11
3) Website - AI Chatbot -Step-1
Video
8:30
4) Website - AI Chatbot -Step-2
Video
16:55
5) Website - AI Chatbot -Step-3
Video
14:00
6) Website - AI Chatbot -Step-4
Video
8:57
7) Website - AI Chatbot -Step-5
Video
22:55
7.1) How to give open API Key in Replit
Video
1:38
8) Website - AI Chatbot -Step-6
Video
26:7
9) Website - AI Chatbot -Step-7
Video
14:46
10) Website - AI Chatbot -Step-8
Video
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
20:51
2.Working Principle of RAG
Video
13:15
3.Hands_on_with_Langchain_ChromaDB_Gemini
Video
21:34
MCQ- RAG
Exercise
Set Question - Gen AI
ZIP
Week-17: Deployment on Google cloud platform
1.Deployment Introduction
Video
4:57
2. Download Editor Notepad
Video
2:47
3. Deployment Cloud Platforms
Video
5:43
4. Deployment Cloud Procedures
Video
4:42
5. Running Flask ML application on local host
Video
33:42
6. Preparing Environment file
Video
11:19
7. Deployment on GCP App Engine Serverless Procedure
Video
43:28
8. Docker file Introduction
Video
12:25
9. Deployment Procedure Docker Localhost
Video
5:43
10. Deployment Procedure DockerLocalHost2
Video
25:42
11.Deployment Procedure Docker LocalHost 3
Video
16:24
12. Deployment GCP Through Docker Procedure
Video
25:42
13. Deployment on GCP Through Kubernetes
Video
1:2:22
14) CI/CD - Introduction
Video
11:23
15) Git-DOwnload-CI/CD
Video
14:51
16) GCPCloudBuild-CI/CD
Video
14:43
17) How CI/CD making changes to the Deployment world
Video
12:20
18) Yaml-Explanation-CI/CD
Video
3:58
19) Overall flow of CICD procedure
Video
2:29
MCQ- GCP
Exercise
Interview Questions 1: Python Basics
1) Conversion-1
Video
9:7
2) Conversion-2
Video
7:30
3) One Liner - For Loop
Video
9:19
4) Lambda Function
Video
16:1
5) Conversions-3
Video
5:30
6) Conversions-4
Video
6:9
7) Conversions-5
Video
8:49
Interview Questions 2: Pandas
1) Melt
Video
11:40
2) Pivot & Pivot Table
Video
5:45
3) Cross Tab
Video
3:30
4) Cut
Video
2:13
5) Merge
Video
2:32
6) Merge Ordered
Video
1:43
7) Concat
Video
3:9
8) Get_Dummies
Video
049
9) From Dummies
Video
054
10) Pandas_Handson-1
Video
16:21
11) Pandas_Handson-2
Video
5:8
12) Pandas_Handson-3
Video
8:38
13) Pandas_Handson-4
Video
4:50
14) Pandas_Handson-5
Video
4:17
15) Pandas Handson-6
Video
10:37
16) Pandas Handson-7
Video
4:17
17) Pandas Handson-8
Video
5:4
18) Pandas Handson-9
Video
18:57
19) Pandas Handson-10
Video
13:31
20) Pandas Handson-11
Video
12:56
21) Pandas Handson-12
Video
8:53
22) Pandas Handson-13
Video
8:37
23) Pandas Handson-14
Video
7:16
24) Pandas Handson-15
Video
6:35
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
Week-18: AI Agents
1.Introduction to AI Agents
Video
8:1
2. AI Agents Types
Video
6:5
3. Why AI Agents?
Video
11:55
4.LLM Models we Use
Video
5:19
5. Two Agent Code Walk Through
Video
19:59
6. Two Agent Code Detailed Explanation
Video
12:44
7. Two Agents with AgentOps
Video
6:5
8.Two Agent using Gemini
Video
17:44
9. Ollama Local Models
Video
2:31
10.How to use OllamaModel
Video
11:21
11.Two Agents Retrieve User Proxy
Video
17:42
12. Two Agent Retrieve Gemini Ollama
Video
3:41
13. Auto gen DOcumentation Overview
Video
2:57
14. Multi Agents - Sequential Chat with Options
Video
20:6
15. Sequential Chat Agent Problem Statement
Video
10:23
16. Sequential Chat handson with Call to Action
Video
20:50
17. Multi Agent Nested Agents Problem Statement
Video
11:5
18.Nested Chat Hands-On
Video
13:20
MCQ- AI Agents
Exercise
Set Question - Ai Agents
ZIP
Course Instructor
Ramisha Rani K
5 Courses • 5166 Students
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