AI Agents Bootcamp: Agentic Automation with Python & n8n (Udemy.com)

Build Real-World AI Agents and Automations with Python, OpenAI, Gemini, LangChain, LangGraph, CrewAI, Ollama, RAG, MCP, and n8n.

Artificial Intelligence is moving beyond simple chatbots. The next generation of AI applications can reason, make decisions, use tools, access knowledge, remember conversations, collaborate with other agents, and automate real-world business tasks.

In this comprehensive AI Agents & Agentic AI Bootcamp, you will learn how to build practical AI agents from the ground up and turn them into powerful automation systems.

You will start with the fundamentals of AI Agents and Agentic AI, then progressively move into Python development, prompt engineering, tool calling, memory, RAG, multi-agent systems, AI frameworks, automation, evaluation, security, deployment, and production-ready AI agents.

What You'll Build

Throughout the course, you will build multiple hands-on AI projects, including:

• AI Chat Agent

• AI Agent with Memory

• Personal Productivity Agent

• Research & Web Search Agent

• PDF / Document Knowledge Agent

• Tool-Calling AI Agent

• CrewAI Multi-Agent System

• OpenAI Agent with Tools and Handoffs

• AI Business Automation with n8n

• AI Customer Support Agent

• AI Study Assistant

• AI Travel Planner

• AI Resume Generator

• AI Social Media Content Creator

• Autonomous AI Business Assistant

Your final capstone project will combine multiple AI capabilities into a practical autonomous AI business assistant that can understand requests, remember conversations, search the web, work with documents, use external APIs, interact with Google Sheets, generate emails and reports, and automate multi-step business workflows.

What You Will Learn

By the end of this course, you will be able to:

• Understand AI, Generative AI, AI Agents, and Agentic AI

• Build AI agents using Python

• Work with OpenAI and Gemini APIs

• Run local AI models using Ollama

• Write effective prompts for AI agents

• Implement tool calling and structured outputs

• Connect AI agents to external APIs and services

• Build agents with memory and decision-making

• Understand and implement RAG (Retrieval-Augmented Generation)

• Work with embeddings and vector databases

• Build AI agents using LangChain and LangGraph

• Create multi-agent systems with CrewAI

• Build agents using the OpenAI Agents SDK

• Understand MCP (Model Context Protocol)

• Build AI automation workflows using n8n

• Implement human-in-the-loop approval workflows

• Evaluate and test AI agents

• Add guardrails and improve AI agent security

• Understand prompt injection and unsafe tool usage

• Monitor and trace AI agent execution

• Deploy AI applications using FastAPI and Docker

• Optimize token usage, model selection, and AI costs

• Build production-ready AI agent systems

Who Is This Course For?

This course is designed for:

• Developers who want to learn AI Agent development

• Python developers moving into Generative AI

• Software engineers interested in Agentic AI

• Automation developers who want to build intelligent workflows

• Entrepreneurs and business owners exploring AI automation

• AI/ML professionals who want practical agent-building skills

• Students who want to build real-world AI projects

• Anyone interested in AI Agents, LLMs, RAG, multi-agent systems, and AI automation

You don't need to be an AI expert to get started. We begin with the fundamentals and gradually move toward advanced AI agent architectures and production systems.

Technologies Covered

Throughout the bootcamp, you'll work with modern AI and automation technologies including:

Python • OpenAI • Gemini • Ollama • LangChain • LangGraph • CrewAI • OpenAI Agents SDK • RAG • Vector Databases • MCP • n8n • FastAPI • Docker

From AI Concepts to Production

This isn't just a course about prompting ChatGPT.

You'll learn the complete journey of building AI agents:

Understand → Design → Build → Add Tools → Add Memory → Add Knowledge → Connect APIs → Automate → Evaluate → Secure → Deploy

By the end, you'll have the practical knowledge and projects needed to start building AI agents and agentic AI automation systems for real-world applications.

Enroll now and start building the next generation of AI-powered applications and autonomous AI agents.