Module 1: Python Fundamentals for AI Builders

• Setting Up Python: Installation and Initial Setup

• Control Flow Mastery: Conditional Statements and Loops

• Key Data Structures: Lists, Tuples, Sets, and Dictionaries

• Functions and Best Practices in Python

• Modular Programming: Working with Imports, Modules, and Packages

• Handling Files in Python

• Advanced Error Handling Techniques

• Introduction to Object-Oriented Programming: Classes and Objects

• Prototyping AI Apps with Streamlit

Module 2: Core Concepts in Machine Learning & Deep Learning

• Machine Learning Basics: From Regression to Classification

• Introduction to Deep Learning for NLP

• Sequence Prediction with Simple RNNs

• Implementing Neural Networks: Understanding ANN

• Practical Project: Working with RNN for Deep Learning

• Demystifying LSTM Networks

• Text Prediction Project: Using LSTM & GRU Models

• Bidirectional RNNs: Improving Text Prediction Accuracy

• Encoder-Decoder Models for Sequence-to-Sequence Tasks

• Understanding Attention Mechanisms in Neural Networks

• The Transformer Model: The Heart of ChatGPT

Module 3: Generative AI & LangChain Foundations

• Introduction to Generative AI and LLMs

• Getting Started with LangChain: A Powerful AI Orchestrator

• Setting Up LangChain with OpenAI

• Understanding LangChain Core Modules and Architecture

• Exploring OpenAI, Ollama, and Other LLM Providers

• Hands-On: Building Your First LLM App with LangChain

Module 4: Real-World Applications in Generative AI

• Building Intelligent Chatbots with Memory

• Creating Context-Aware Q&A Bots

• Full-Stack Generative AI App Development with LangChain

• RAG Project: Combining Llama2 and GROQ API for Document Handling

• NLP-Powered PDF Chatbot Development

• Building a Search Engine Using LangChain Tools and Agents

• Integrating SQL Databases with LangChain for Chat Interfaces

• Easy Text Summarization Techniques with AI

• AI Agent Project: Summarizing YouTube and Web Content

Module 5: Advanced AI Integrations & System Development

• Solving Complex Math Problems with Google GenAI

• Integrating LangChain with Hugging Face Models

• RAG Pipeline Development with AstraDB

• Multilingual AI Assistant with CodeLlama

• Deploying AI Applications with Streamlit and Hugging Face

• Setting Up AI Infrastructure on AWS

• Introduction to Nvidia NIM with LangChain

• Building Multi-Agent Systems Using CrewAI

• Hybrid Search: Leveraging Vector Databases and Cypher Queries

• Exploring Graph Databases and Cypher Language

• LangChain with GraphDB: Practical Use Cases

Module 6: Advanced Fine-Tuning & Deployment Strategies

• Fine-Tuning Large Language Models (LLMs): Process and Best Practices

• Full Workflow for Fine-Tuning with Lamini

• Building Multi-Actor, Stateful AI Systems Using LangGraph

Module 7: Deploying AI Models with Flask

• Flask Basics: Setting Up an AI Deployment Project

• Integrating LLMs and AI Models with Flask Applications

• Creating REST APIs for AI Services

• Managing File Uploads in AI-Based Apps

• Deploying Flask Apps on the Cloud

• Exploring Advanced Flask + AI Deployment Use Cases