AI for Product Managers
This course introduces Product Managers to Artificial Intelligence (AI) concepts and the strategies needed to successfully define, build, and manage AI-powered products. Participants will learn how to: This course is included in the AI Annual Learning Pass. Duration ½ day
AI
AI Strategy & Governance: Building Human-Centered and Accountable Innovation
This two-hour executive webinar introduces leaders to practical AI strategy fundamentals and lightweight governance frameworks. Participants learn the characteristics of effective AI strategies, common organizational challenges, and how to convert strategic intent into action. The session also defines AI governance – what it is, why it matters, and how federal leadership and emerging standards shape […]
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AI for Deep Research: Intelligent Tools and Workflows
This hands-on session explores how AI agents and copilots transform research – from discovery and synthesis to data-driven insight generation. Through guided demonstrations, participants will learn how to conduct advanced searches, organize knowledge, and analyze supporting datasets using Perplexity AI, ChatGPT (Agent Mode), Google NotebookLM, Microsoft Copilot for Excel, and Python in Google Colab. The […]
AI
Agentic AI in Action: Building and Orchestrating Agents
This hands-on follow-on course builds on the foundational Introduction to Agentic AI session. Participants will move from theory to practical demonstrations, exploring how agentic systems can be implemented using popular workflow and automation tools. Through guided demos and discussions, you will see how concepts like orchestration, tool use, and inter-agent communication come alive across real platforms such […]
AI
AI Model Selection and Training
AI Model Selection and Training is a half-day course that introduces a practical tools for evaluating and choosing the right AI models across traditional machine learning and modern generative AI systems. Participants learn to understand key trade-offs, and address issues such as concept drift and hallucination. The session also provides an overview of advanced techniques […]
AI
Retrieval-Augmented Generation (RAG) Introduction
Retrieval-Augmented Generation (RAG) Introduction is a four-hour class that provides a practical overview of RAG and its role in building smarter, data-aware AI applications. Participants will learn how large language models (LLMs) integrate with retrieval systems to deliver accurate, grounded responses, exploring key concepts such as chunking, data preparation, vector databases, and embeddings. The session […]
AI
AI for Software Engineering
AI for Software Engineering is a four-hour class that explores how modern AI models and tools can supercharge software development. Participants will learn how to work with AI models for code generation and analysis and leverage advanced AI search tools, apps, and plug-ins. The session also covers effective prompting strategies—including reasoning-based and code-specific techniques—to help […]
AI
MCP 101
MCP 101 is a half-day course that provides a concise overview of the Model Context Protocol (MCP), a new open standard for connecting AI assistants to real-world data and tools. As agentic AI systems move into production, interoperability becomes essential—MCP bridges this gap by linking models with content repositories, business systems, and development environments. Through […]
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Context Engineering
This course introduces participants to the emerging discipline of Context Engineering—the science and art of designing, managing, and optimizing context to improve human–AI collaboration, communication systems, and decision-making frameworks. Participants will learn how to define, shape, and utilize context in natural language processing (NLP), prompt design, and real-world problem-solving environments. This course is included in […]
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