AI Agents & AI Automation – The Practical Agentic AI Guide
Course Details
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
- Introduction to Agentic AI
- AI automation overview
- Setting up the development environment
Section 2: Autonomous AI Agents
- Agent architecture
- Decision making
- Planning systems
Section 3: Memory & Context
- Agent memory
- Context management
- Persistent memory
Section 4: Tool Calling
- External APIs
- Function calling
- Tool integrations
Section 5: Multi-Agent Systems
- Agent collaboration
- Communication
- Distributed AI agents
Section 6: AI Automation
- Workflow automation
- Intelligent pipelines
- Business automation
Section 7: Model Context Protocol (MCP)
- MCP fundamentals
- Context sharing
- Agent interoperability
Section 8: AI Frameworks
- Modern Agent frameworks
- Agent orchestration
- Best practices
Section 9: Production Deployment
- Scaling AI agents
- Monitoring
- Deployment strategies
Section 10: Final Projects
- Build complete AI automation solutions
- Multi-agent project
- Enterprise workflow automation
Requirements
- Basic computer knowledge
- Internet connection
- Basic programming knowledge is helpful
- Interest in Artificial Intelligence
- 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