Gen AI/ML & Prompt Engineering
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Session 0 - Gen AI_ML - Demo Video
Session 0 - Gen AI_ML - Course Content
Session 1 - Gen AI_ML - Python Basics Part 1
Session 2 - Gen AI_ML - Python Basics Part 2
Session 3 - Gen AI_ML - Python Basics Part 3
Session 4 - Gen AI_ML - Python Basics Part 4
Session 5 - Gen AI_ML - Python Basics Part 5
Session 6 - Gen AI_ML - NumPy
Session 7 - Gen AI_ML - Pandas Part 1
Session 8 - Gen AI_ML - Pandas Part 2
Session 9 - Gen AI_ML - Django Framework Part 1
Session 10 - Gen AI_ML - Django Framework Part 2
Session 11 - Gen AI_ML - Linear Regression
Session 12 - Gen AI_ML - Logistic Regression
Session 13 - Gen AI_ML - Random Trees - Dec Trees
Session 14 - Gen AI_ML - KNN - SVM
Session 15 - Gen AI_ML - UnSupervised K-Means
Session 16 - Gen AI_ML - HierClus - PCA - tSNE
Session 17 - Gen AI_ML - Neural Networks CNN RNN LSTM
Session 18 - Gen AI_ML - Generative AI Part 1
Session 19 - Gen AI_ML - Generative AI Part 2
Session 20 - Gen AI_ML - Generative AI Part 3
Session 21 - Gen AI_ML - Generative AI Part 4
Session 22 - Gen AI_ML - Generative AI Part 5
Session 23 - Gen AI_ML - Generative AI Part 6
Session 24 - Gen AI_ML - Generative AI Part 7
Session 25 - Gen AI_ML - Generative AI Part 8
Add - How to use Open AI with Python
Add - Installation Steps on Ubuntu for AI Use
Add - Retrieval Augmented Generation (RAG) - Part 1
Add - Retrieval Augmented Generation (RAG) - Part 2
Add - What is Generative AI
Session 26 - What is Agentic Framework
Session 27 - What are Agents?
Session 28 - Project - Replicate Chat GPT
Session 29 - Live Project
Final Project - Part 1
Final Project - Part 2
Final Project - Part 3