Online Course

AI Agent Architecture

AI agents are redefining what modern software can do—and this course gives you the complete blueprint for designing and building them effectively.

Welcome to AI Agent Architecture, a comprehensive, hands-on course designed to teach you the essential concepts, design patterns, and system architectures behind today’s most advanced agentic systems.

Your instructor is Ned, CEO and founder of 365 Data Science, whose programs have attracted over 5 million learners worldwide. With more than a decade of experience in AI and data science education, he will guide you step-by-step through everything you need to know to architect intelligent, reliable, and scalable AI agents.

What you will learn

You will start with the foundations:

• What AI agents are and the core building blocks behind them
• When—and when not—to use agentic systems
• How to design effective and reliable system prompts
• Essential prompting frameworks for robust agent behaviour

With these fundamentals in place, the course dives into advanced agentic workflows and key architectural patterns, including:

• Prompt chaining
• Routing
• Parallelization
• Orchestrator–worker patterns
• Evaluator–optimizer loops

You will also explore the most impactful agent methodologies used in production environments today:

• ReAct (Reason + Act)
• ReWOO
• Reflexion and self-improvement loops
• Tree of Thought and structured reasoning

Many other modern agent design techniques

Beyond single-agent systems, you’ll compare vertical vs. horizontal multi-agent architectures, learn how to coordinate multiple specialized agents, and understand how to measure, evaluate, and govern agent performance.