52-Week AI Leadership Course: Agents, MCP, RAG

About this course

This course contains the use of artificial intelligence.52-Week AI Leadership: Agents, MCP, RAG is a complete executive-level program designed for leaders, managers, architects, product owners, consultants, and technology professionals who want to understand, lead, and scale modern AI transformation inside organizations. This course goes beyond surface-level AI trends and gives you a structured, year-long roadmap for mastering the most important ideas shaping enterprise AI: AI strategy, LLMs, RAG, MCP, AI agents, multi-agent systems, governance, AI product management, and production AI architecture.

The course begins with the AI leadership mindset, helping you move from technical curiosity to strategic decision-making. You will learn how to identify high-leverage AI opportunities, align AI initiatives with business outcomes, avoid “AI theater,” and build an experimentation culture that leads to real enterprise value. You will also explore the enterprise AI landscape in 2026, including major platforms, open vs closed model ecosystems, infrastructure trends, and the strategic choices organizations must make when selecting vendors, tools, and deployment models.

Next, the course explains how large language models work from an executive perspective. You will understand tokens, embeddings, transformers, context windows, hallucinations, inference costs, and the tradeoffs that impact real-world AI systems. From there, you will dive into Retrieval-Augmented Generation, or RAG, learning how enterprise knowledge systems retrieve, ground, and generate answers using company data. Topics include vector databases, embeddings

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