AI Context Engineering [INDUSTRY PROFESSIONAL PLAN]

Master the art of AI-driven software development by learning to engineer context for large language models, build dynamic agents, and implement advanced RAG architectures.
AI Context Engineering is designed for professionals seeking to deepen their understanding of AI-driven software development. This course bridges the gap between traditional programming and modern neural network paradigms.
Participants will explore industry trends, practical implementations of large language models, and real-world applications including dynamic personal agents and cost-effective voice agents.
Learning Outcomes
By the end of this course, you will be able to
Architect and deploy advanced RAG pipelines for LLMs.
Implement memory management strategies for persistent AI agents.
Utilize Model Context Protocol (MCP) to integrate external tools.
Optimize AI performance through effective context compression and isolation.
Build and automate complex workflows using modern AI development tools.
Prerequisites
Foundational knowledge of software development principles.
Basic familiarity with Python programming.
Interest in AI-driven software architecture.
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