Master Agentic AI

Learn to build intelligent AI agents using cutting-edge tools like n8n, LangGraph, LangChain, CrewAI, and modern LLMs (GPT-4o, Claude, Gemini 2.0)

Comprehensive ML Learning Hub

Dive deep into the world of autonomous AI agents and learn to build intelligent systems that can think, plan, and execute tasks independently.

AI Fundamentals

Master the core concepts of artificial intelligence and machine learning that power modern AI agents.

Practical Implementation

Hands-on experience with real-world projects using industry-standard tools and frameworks.

Deploy & Scale

Learn to deploy your AI agents in production environments using Docker Cloud and cloud platforms.

Course Modules

Structured learning path covering all essential tools and technologies

Python Basics

Foundation programming skills for AI development

  • • Variables & data types
  • • Control structures
  • • Functions & classes
  • • Libraries & packages

Prompt Engineering

Master the art of crafting effective AI prompts

  • • Prompt design patterns
  • • Context optimization
  • • Few-shot learning
  • • Chain-of-thought prompting

n8n Workflows

Visual workflow automation and AI agent orchestration

  • • Workflow design
  • • API integrations
  • • Data processing
  • • Automation triggers

LangGraph

State machine-based AI agent development

  • • Graph-based agents
  • • State management
  • • Complex reasoning
  • • Multi-step workflows

LangChain

Framework for LLM applications and chains

  • • Chain composition
  • • Memory systems
  • • Tool integration
  • • Prompt engineering

CrewAI

Multi-agent collaboration and coordination

  • • Agent teams
  • • Task delegation
  • • Collaboration patterns
  • • Performance optimization

MCP Server Creation

Build custom Model Context Protocol servers for AI agents

  • • MCP protocol fundamentals
  • • Server architecture design
  • • Tool & resource definitions
  • • Authentication & security

MCP Agent Integration

Connect AI agents with MCP servers for enhanced capabilities

  • • Client-server communication
  • • Tool discovery & execution
  • • Resource management
  • • Error handling & debugging

Technology Stack

Industry-leading tools and platforms for AI development

Docker

Containerized deployment and scaling of AI applications

OpenAI, Claude & Gemini

Advanced language models (GPT-4o, Claude 3.7 Sonnet, Gemini 2.0) for intelligent agent capabilities

Development Tools

Modern development environment with version control and testing

Ready to Start Your AI Journey?

Join our comprehensive course and become an expert in building intelligent AI agents

Duration

8 weeks intensive program

Schedule

Weekend classes for working professionals

Prerequisites

Basic programming knowledge & AI tool experience