Udemy Stable Diffusion Grok Gemini

AI Agents & AI Automation – The Practical Agentic AI Guide

By Mikolaj Sokol, Simon Colman Posted: Jul 31, 2026

Course Details

Pricing Paid
Difficulty Intermediate
Duration 8.5 Hours On-Demand Video
Language English
Certificate Available

Course Curriculum & Description

Build intelligent AI agents and automate complex workflows using the latest Agentic AI technologies. This hands-on course teaches how autonomous AI agents work, how they communicate, plan tasks, use external tools, and collaborate in multi-agent environments.

You'll explore practical AI automation techniques, Model Context Protocol (MCP), AI orchestration, retrieval systems, memory management, tool calling, and production-ready AI workflows. Through real-world projects, you'll build intelligent assistants capable of reasoning, planning, and executing tasks autonomously.

Whether you're a software developer, AI engineer, automation specialist, or technology enthusiast, this course provides practical skills for developing modern AI agent systems.


Course Curriculum

Section 1: Course Introduction

  1. Introduction to Agentic AI
  2. AI automation overview
  3. Setting up the development environment

Section 2: Autonomous AI Agents

  1. Agent architecture
  2. Decision making
  3. Planning systems

Section 3: Memory & Context

  1. Agent memory
  2. Context management
  3. Persistent memory

Section 4: Tool Calling

  1. External APIs
  2. Function calling
  3. Tool integrations

Section 5: Multi-Agent Systems

  1. Agent collaboration
  2. Communication
  3. Distributed AI agents

Section 6: AI Automation

  1. Workflow automation
  2. Intelligent pipelines
  3. Business automation

Section 7: Model Context Protocol (MCP)

  1. MCP fundamentals
  2. Context sharing
  3. Agent interoperability

Section 8: AI Frameworks

  1. Modern Agent frameworks
  2. Agent orchestration
  3. Best practices

Section 9: Production Deployment

  1. Scaling AI agents
  2. Monitoring
  3. Deployment strategies

Section 10: Final Projects

  1. Build complete AI automation solutions
  2. Multi-agent project
  3. Enterprise workflow automation

Requirements

  1. Basic computer knowledge
  2. Internet connection
  3. Basic programming knowledge is helpful
  4. Interest in Artificial Intelligence
  5. No previous Agentic AI experience required


What You Will Learn

  • After completing this course
  • you'll be able to:
  • Build autonomous AI agents
  • Create intelligent AI workflows
  • Develop multi-agent systems
  • Implement MCP integrations
  • Connect AI agents with APIs
  • Design agent memory systems
  • Build AI assistants
  • Automate business workflows
  • Deploy production-ready AI solutions
  • Build enterprise Agentic AI applications

Course Highlights

Hands-on Projects
Agentic AI
AI Agents
Multi-Agent Systems
AI Automation
Model Context Protocol (MCP)
Workflow Automation
Tool Calling
AI Memory
Production Deployment
Certificate of Completion
Lifetime Access

Tagged Topics & Skills

Categories:

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Associated AI Tools

ChatGPT

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