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AI & Generative AI

• AI vs ML vs Deep Learning vs Generative AI
• Generative AI applications
• LLMs & Foundation Models
• How LLMs work
• Tokens & Tokenization
• Context Window
• Parameters
• Training vs Inference
• Pre-training & Fine-tuning
• Transformer Architecture — fundamentals

LLM Concepts

• Open-source vs closed-source LLMs
• LLM APIs
• Model selection
• Temperature
• Max Tokens
• System & User Prompts
• Structured Outputs

Practical

Build a basic AI chatbot

Connect to an LLM API

Generate text

Prompt Engineering:

• Prompt structure
• Zero-shot prompting
• Few-shot prompting
• Role prompting
• Instruction prompting
• Context injection
• Output formatting
• Structured JSON output
• Prompt templates
• Prompt chaining

Advanced Prompting:

• ReAct concepts
• Self-reflection
• Context management
• Hallucination reduction

LLM Applications

• Text generation
• Summarization
• Classification
• Information extraction
• Question answering

🎯 PROJECT 1

AI Content & Document Assistant

•Embeddings

• What are embeddings?
• Text embeddings
• Vector representations
• Semantic similarity
• Similarity search

Vector Databases

• Why Vector Databases?
• Chroma
• FAISS
• Pinecone concepts
• Collections
• Metadata
• Vector Search
• Top-K retrieval

🎯 PROJECT 2

Semantic Search Engine

Documents

    ↓

Embeddings

    ↓

Vector Database

    ↓

Similarity Search

    ↓

Relevant Results

Retrieval-Augmented Generation

RAG Fundamentals

• What is RAG?
• Why RAG?
• RAG architecture
• Document loaders
• Text splitting
• Chunking strategies
• Embeddings
• Vector databases
• Retrieval
• Context injection
• LLM generation

Advanced RAG

• Similarity search
• Metadata filtering
• Top-K retrieval
• Hybrid search
• Query transformation
• Reranking
• RAG hallucinations

🎯 PROJECT 3

AI PDF / Document Q&A System

LangChain Fundamentals

• LangChain architecture
• Models
• Prompts
• Output parsers
• Runnables
• Chains
• Document loaders
• Text splitters
• Retrievers
• Vector stores

LangChain Applications

• Prompt chains
• Sequential workflows
• Retrieval chains
• RAG applications
• Structured outputs

Memory

• Conversation history
• Context management
• Chat history
• Persistent memory concepts

🎯 PROJECT 4

AI Knowledge Assistant using LangChain + RAG

LangSmith

Fundamentals

• What is LangSmith?
• LangSmith architecture
• Connecting LangChain applications
• Tracing
• Runs
• Projects
• Monitoring LLM applications

Debugging

• Trace LLM calls
• Trace chains
• Trace tools
• Trace retrieval
• Identify failures
• Debug prompts
• Debug RAG pipelines
• Analyze latency
• Monitor token usage

Evaluation

• Dataset creation
• Test cases
• LLM evaluation
• Rule-based evaluation
• Evaluators
• Response quality
• Retrieval quality
• Hallucination evaluation

Production Monitoring

• Monitoring applications
• Feedback
• Error analysis
• Performance tracking
• Prompt/version management

🎯 PROJECT 5

Production-Ready RAG Application with LangSmith Monitoring & Evaluation•Social Media Strategy (Organic + Paid)

Agentic AI Fundamentals

• LLM vs AI Application vs AI Agent
• What is Agentic AI?
• Agent architecture
• Goals
• Planning
• Reasoning
• Tools
• Memory
• Actions
• Observation
• Feedback loops

Tool Calling

• Function calling
• Tool definitions
• Tool execution
• API tools
• Database tools
• Search tools
• Calculator tools
• Custom tools

Agent Patterns

• ReAct
• Tool-using agents
• Planning agents
• Reflection
• Multi-step tasks
• Human-in-the-loop

🎯 PROJECT 6

AI Research Agent

User Question > Agent > Planning > Tool Selection > Search / APIs / Database > Analysis > Final Answer

LangGraph

• LangGraph fundamentals
• Graph-based workflows
• Nodes
• Edges
• State
• State management
• Conditional routing
• Loops
• Checkpoints

Agent Workflows

• Sequential agents
• Conditional agents
• Planning agents
• Reflection agents
• Human approval
• Agent memory

Multi-Agent Systems

• Supervisor agent
• Worker agents
• Specialized agents
• Agent communication
• Task delegation

🎯 PROJECT 7

Multi-Agent Research & Report Generation System

             Supervisor Agent

                     ↓

       ┌─────────────┼─────────────┐

       ↓             ↓             ↓

 Research Agent   Data Agent   Writer Agent

       ↓             ↓             ↓

       └─────────────┼─────────────┘

                     ↓

                Final Report

MCP — Model Context Protocol

• What is MCP?
• MCP architecture
• MCP Client
• MCP Server
• Resources
• Tools
• Prompts
• Connecting LLMs to external systems
• Building a basic MCP server

A2A — Agent-to-Agent

• A2A concepts
• Agent discovery
• Agent communication
• Task delegation
• Multi-agent workflows

Production AI

• FastAPI
• REST APIs
• Streaming
• Authentication
• Async operations
• Environment variables
• Docker basics
• AI application architecture
• Deployment basics

Observability

LangSmith

• FastAPI
• Production feedback
• Tracing
• Evaluation
• Monitoring
• Debugging

Capstone: AI Business Automation Platform

Build a complete production-style Agentic AI system.

                        USER

                           ↓

                    AI ASSISTANT

                           ↓

                    SUPERVISOR AGENT

                           ↓

          ┌────────────────┼────────────────┐

          ↓                ↓                ↓

    Research Agent     Data Agent       Action Agent

          ↓                ↓                ↓

          └────────────────┼────────────────┘

                           ↓

                         RAG

                           ↓

                    VECTOR DATABASE

                           ↓

                    EXTERNAL TOOLS

                           ↓

                    FINAL RESPONSE

                           ↓

                     LANGSMITH

                 Trace + Evaluate

Capstone Technologies

• Deployment
• Python
• LLM API
• Prompt Engineering
• Embeddings
• Vector Database
• RAG
• LangChain
• LangSmith
• AI Agents
• LangGraph
• Multi-Agent Systems
• MCP
• A2A
• Memory
• Tool Calling
• FastAPI
• Database
• Evaluation
• Monitoring
• Docker