Beginner12 hours

Preview: AI Systems: An Introduction

A beginner-friendly introduction to AI Systems, covering workflow engines, AI agents, LLMs, and MCP servers. Learn how these technologies work together to solve real-world problems.

What You'll Learn

Understand what AI Systems are and their core components

Visualize how workflow engines, agents, LLMs, and MCP servers work together

Identify real-world applications for small businesses and personal use

Build a simple but functional AI System using Python and the MCP SDK

Create practical solutions that demonstrate the power of AI Systems

Course Modules

📚

Module 1: What Are AI Systems?

45 minutes

Discover what AI Systems are and why they're transforming how we work and live

Conceptual Learning•Introduction to AI Systems concepts and real-world impact

📚

Module 2: The Building Blocks

60 minutes

Explore the key components: workflow engines, AI agents, LLMs, and MCP servers through visual diagrams

Conceptual Learning•Deep dive into each component with visual representations

📚

Module 3: Real-World Applications

60 minutes

See practical examples of AI Systems solving problems for small businesses and everyday tasks

Conceptual Learning•Case studies and practical applications

📚

Module 4: How AI Systems Think

60 minutes

Understand how components work together using simple analogies and visual representations

Conceptual Learning•AI decision-making explained simply

📚

Module 5: The Benefits of AI Systems

45 minutes

Learn why AI Systems matter for your business or personal productivity

Conceptual Learning•ROI and value proposition of AI Systems

⚙️

Module 6: Setting Up Your First AI System

90 minutes

Get your development environment ready for building with Python and the MCP SDK

Practical Exercise•Environment setup and project structure

⚙️

Module 7: Building Your First MCP Server

90 minutes

Create a simple MCP server using Python that can interact with AI agents

Practical Exercise•Hands-on MCP server development

⚙️

Module 8: Creating an AI Agent

90 minutes

Build an AI agent that connects to your MCP server and uses an LLM

Practical Exercise•AI agent implementation

🚀

Module 9: Putting It All Together

120 minutes

Combine everything to create a complete AI System solving a real business problem

Project Work•Complete system integration

📚

Module 10: Next Steps and Resources

30 minutes

Continue your AI Systems journey with advanced topics and community resources

Conceptual Learning•Resources and community connections

Ready to Start Learning?

Join this learning path and master ai systems: an introduction with hands-on projects and real-world examples.