A comprehensive curriculum to master agentic AI systems architecture
Our curriculum is designed to take you from foundational concepts to advanced implementation techniques through a carefully structured learning path. Each module builds upon the previous ones, gradually developing your skills and knowledge in agentic AI systems architecture.
The course is designed for progressive learning, but you can also focus on specific modules based on your interests and prior knowledge. We recommend completing the modules in sequence for the most comprehensive understanding.
Each module includes theoretical content, practical examples, hands-on exercises, and assessment components to ensure a well-rounded learning experience.
To complete the course, you should:
Upon completion, you'll have the skills to design, implement, and deploy sophisticated agentic AI systems for real-world applications.
An introduction to the core concepts, historical evolution, and key capabilities of agentic AI systems.
Exploring the fundamental building blocks that make up agentic AI systems architecture.
Understanding how to structure and represent knowledge for effective agent reasoning.
Exploring algorithms that enable agents to plan actions and make decisions.
Learning to use modern frameworks and tools for building agentic AI systems.
Designing systems with multiple agents that collaborate to solve complex problems.