In a landscape shaped by generative AI, product professionals must bridge the gap between business vision and technical feasibility. "AI for Product Professionals" is a comprehensive, 20-hour program designed to transform functional ICs into AI-ready product leaders.
Grounded in Microsoft's "AI Business School" and Azure AI architecture, this course bypasses coding to focus on strategic decision-making. You will explore the specific nuances of the AI product lifecycle, from initial use-case vetting to the continuous monitoring of deployed models.
Key areas of focus include:
- The Azure AI Ecosystem: Navigating the "Copilot Stack" to understand how LLMs, orchestrators, and data sources interact.
- Strategic Data Management: Mastering Retrieval-Augmented Generation (RAG) and vector search to leverage organizational data securely.
- Operational Excellence: Managing the costs of AI (tokens and throughput) and evaluating model performance beyond traditional KPIs.
- Responsible AI: Implementing Microsoft's six pillars of ethics—Fairness, Reliability, Privacy, Inclusivity, Transparency, and Accountability—to ensure product safety and trust.
By the end of this course, you will have the technical fluency to lead engineering teams, manage stakeholder expectations in a probabilistic environment, and deliver high-impact AI solutions that are scalable and secure.
