Through this course you'll explore how to design effective AI agents, connect AI systems with tools and external data, and build agent-powered applications. You'll gain the core concepts and practical skills needed to start creating capable AI agents, with room to expand into more advanced techniques as the ecosystem evolves.
Module 1 of 3 is released.
EST TIME TO COMPLETE
Completion time may vary based on individual pacing.
1 hr, 10 mins
CONTENT
1 module
Learning path outcomes
Understand the architecture of modern AI agentsDesign effective AI systemsConnect LLMs with external tools
Prerequisites
Basic to intermediate Python proficiency. No mobile development experience necessary.
Learning path content
1
Context Engineering for AI
Mar 15 2026 · Multimodal Module (1 hr, 10 mins)
Explore context engineering as the foundation for building reliable, efficient AI systems.
Learn how LLMs, prompting, RAG, agents, LangChain, and LangGraph work together in real applications.
Understand the AI platform ecosystem and build practical workflows to choose the right tools for real-world use cases.
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