Agentic AI Engineer Bootcamp

• Python Fundamentals – Variables, Data Types, Operators, Strings, Lists, Tuples, Sets, Dictionaries & Type Casting

• Control Flow & Functions – If-Else, Loops, List Comprehensions, Functions, Lambda Functions, Map, Filter, Reduce & Recursion

• Exception Handling & Debugging – Try-Except, Finally, Custom Exceptions, Logging & Debugging Techniques

• File Processing & Data Handling – Text Files, CSV, JSON, Data Parsing & Data Transformation

• Object-Oriented Programming – Classes, Objects, Constructors, Inheritance, Polymorphism, Encapsulation & Abstraction

• Advanced Python Concepts – Iterators, Generators, Decorators & Context Managers

• API Development & JSON Processing – REST APIs, HTTP Methods, Requests Library, API Integration & JSON Handling

• Software Engineering Essentials – Git, GitHub, Virtual Environments, Package Management (pip), Project Structure & Environment Variables

• Pydantic & Data Validation – BaseModel, Validation Rules, Structured Outputs & Type Enforcement

• Introduction to AI & Generative AI – AI, Machine Learning, Deep Learning, Generative AI & Enterprise Use Cases

• Large Language Models – GPT, Gemini, Claude, Open Source Models, Model Architectures & Capabilities

• LLM Fundamentals – Tokens, Context Windows, Transformers, Attention Mechanism, Training & Inference

• Prompt Engineering – Zero-Shot, One-Shot, Few-Shot, Chain-of-Thought & Role-Based Prompting

• Advanced Prompting Techniques – ReAct, Reflection, Structured Prompting, Prompt Templates & Prompt Optimization

• Model Configuration – Temperature, Top-P, Max Tokens, Frequency Penalty & Presence Penalty

• Responsible AI – Hallucinations, Bias, Prompt Injection, AI Safety & Governance

• OpenAI, Gemini & Claude Ecosystem – APIs, Model Selection, Pricing & Enterprise Considerations

• Structured Outputs & Function Calling – JSON Outputs, Function Calling, Tool Calling & Output Validation

• Embeddings Fundamentals – Semantic Similarity, Dense Vectors, Sparse Vectors & Embedding Models

• Chunking Strategies – Fixed Chunking, Recursive Chunking, Semantic Chunking & Parent-Child Chunking

• Vector Databases – ChromaDB, FAISS, Qdrant, Pinecone Concepts & Indexing Strategies

• Similarity Search & Retrieval – Cosine Similarity, Nearest Neighbor Search & Top-K Retrieval

• Document Processing Pipelines – PDFs, Documents, Web Data & Enterprise Content Ingestion

• Metadata & Search Optimization – Metadata Filtering, Classification, Tagging & Search Relevance

• LangChain & LCEL – Chains, Retrievers, Prompt Templates, Memory & Workflow Development

• RAG & Agentic RAG – Retrieval-Augmented Generation, Agentic Retrieval, Dynamic Context & Knowledge Grounding

• Advanced Retrieval Systems – Hybrid Search, GraphRAG, Re-Ranking, Query Expansion & RAG Evaluation

• Introduction to LangGraph – Why LangGraph, LangGraph vs LangChain Agents, Agent Workflows & State Management

• Core Components – Nodes, Edges, StateGraph, Conditional Routing & Graph Execution Flow

• State Management & Memory – Shared State, Session Memory, Persistent Memory & Checkpointing

• Building Single-Agent Systems – Tool Usage, Reasoning Loops & Task Execution Patterns

• Multi-Step Agent Workflows – Sequential Processing, Decision Trees & Dynamic Routing

• Human-in-the-Loop (HITL) – Approval Workflows, Review Gates, Manual Overrides & Feedback Integration

• Agent Design Patterns – ReAct, Plan-and-Execute, Reflection & Supervisor Pattern

• Observability & Debugging – Graph Visualization, Execution Tracing, Error Handling & State Inspection

• Production Considerations – Persistence, Scalability, Retry Mechanisms & Long-Running Workflows

• MCP Fundamentals – Introduction to MCP, MCP Architecture, Clients, Servers, Resources, Tools & Prompts

• MCP Server Development – MCP SDK, Custom MCP Servers, Resources, Tool Registration & Prompt Templates

• Enterprise Tool Integration – Database MCP, GitHub MCP, File System MCP, API Integration & Business System Connectivity

• MCP Security & Governance – Authentication, Authorization, Access Control, Auditability & Enterprise Security Patterns

• MCP with Agent Frameworks – LangGraph Integration, LangChain Integration, Tool Discovery & Dynamic Tool Usage

• Multi-Agent Fundamentals – Single Agent vs Multi-Agent Systems, Agent Roles, Collaboration Models & Task Decomposition

• Agent Design Patterns – Supervisor Pattern, Swarm Pattern, Pipeline Pattern, Planner-Executor Pattern & Reflection Loops

• Agent Communication & Collaboration – Context Sharing, Agent Coordination, Message Passing & Agent Handoffs

• Enterprise Multi-Agent Architectures – Recruitment Systems, Customer Support Platforms, Financial Research & Operations Automation

• OpenAI Agents SDK Fundamentals – Agents, Runners, Sessions, Instructions, Context Management & Agent Lifecycle

• Tool Calling & Structured Outputs – Function Calling, JSON Outputs, Pydantic Validation & Business Workflows

• Agent Handoffs & Delegation – Agent-to-Agent Communication, Task Routing, Context Transfer & Hierarchical Agents

• Multi-Agent Workflows – Specialized Agents, Research Agents, Planner Agents, Reviewer Agents & Agent Collaboration

• Guardrails & Safety – Input Validation, Output Validation, Content Moderation, Business Rules & Safety Controls

• CrewAI Fundamentals – Agents, Tasks, Crews, Flows, Sequential Execution & Hierarchical Processes

• Advanced Agent Orchestration – Parallel Execution, Role-Based Agents, Crew Coordination & Workflow Optimization

• Enterprise Agent Use Cases – Customer Support, Research Automation, Recruitment, Financial Analysis & Operations

• Production Agent Architecture – Reliability, Scalability, Error Handling, Session Management & Governance

• n8n Fundamentals – Workflow Automation, Triggers, Actions, Expressions, Nodes & Execution Flows

• AI-Powered Business Automation – WhatsApp Automation, Email Automation, CRM Integration & Lead Management Workflows

• AI Agent Automation Pipelines – AI Agents in n8n, Workflow Orchestration, Human-in-the-Loop Automation & Business Processes

• FastAPI Development – API Design, Endpoints, Request Handling, Authentication & Agent APIs

• Streamlit Application Development – Interactive AI Applications, Dashboards & User Interfaces

• Agent Monitoring & Observability – LangSmith, AgentOps, Execution Tracing, Debugging & Performance Monitoring

• Evaluation & Production Readiness – Agent Evaluation, Cost Monitoring, Reliability Testing, Guardrails & Governance

• Deployment Strategies – Cloud Deployment Concepts, Azure AI Foundry Overview, Databricks Mosaic AI Overview & Production Architecture

• Capstone Project – Autonomous Enterprise Operations Platform (LangGraph + MCP + OpenAI Agents SDK + CrewAI + n8n + FastAPI + Deployment)