Intermediate

6-8 weeks•40 lessons•8 modules

1

Foundation of Transformers

5 lessons

1The Evolution of NLP (Pre-Transformer Era)

2Paper: Attention Is All You Need (Simplified)

3Understanding Self-Attention

4Encoder-Decoder Architecture

5Positional Encodings Explained

2

Modern LLM Architectures

5 lessons

1GPT Evolution: GPT-1 to GPT-5

2BERT and Bidirectional Models

3Reasoning Models: o3, Claude Thinking, Gemini Thinking

4Decoder-Only Models (GPT, Claude, Llama)

5Encoder-Only Models (BERT, RoBERTa)

3

LangChain & Frameworks

5 lessons

1Introduction to LangChain

2Chains, Agents, and Tools

3Memory Systems in LangChain

4Building Your First LangChain App

5Project: Multi-Step AI Agent

4

RAG (Retrieval-Augmented Generation)

5 lessons

1What is RAG and Why It Matters

2Vector Databases Explained

3Embeddings and Similarity Search

4Building a RAG System with LangChain

5Project: Document Q&A System

5

Vector Databases & Embeddings

5 lessons

1Understanding Embeddings

2ChromaDB, Pinecone, Weaviate, Qdrant Compared

3Chunking Strategies

4Hybrid Search Techniques

5Project: Semantic Search Engine

6

Agentic AI Frameworks

5 lessons

1Understanding Agentic AI: Beyond Chatbots

2Google ADK: Agent Development Kit

3OpenAI Agents SDK: Building Smart Agents

4CrewAI: Teams of Agents That Collaborate

5Project: Multi-Agent Research System

7

MCP Connectors & Workflows

5 lessons

1MCP Connectors: The USB-C of AI Integration

2Building Your First MCP Connector

3AI Workflows: Beyond Simple Chat

4LangGraph: Stateful AI Workflows

5Project: Multi-Step Workflow with MCP + Agents

8

Modern AI Development

5 lessons

1MCP: Model Context Protocol Explained

2LlamaIndex: Connect AI to Your Data

3Vercel AI SDK: Streaming AI for Web Apps

4AI-Powered Development: The New Way to Code

5Project: Full-Stack AI Application