AI for Program Managers: Cross-Team Workflows and Dashboards

Program managers are constantly balancing timelines, cross-functional teams, and complex deliverables. Artificial intelligence offers powerful new ways to streamline these moving parts, reducing manual overhead and surfacing critical insights faster. This text-based course takes you from foundational AI concepts to practical applications in program management. You will discover how to integrate modern AI capabilities into your daily workflows, conceptualize automated reporting dashboards, and use prompt engineering to synthesize updates, track cross-team dependencies, and identify project risks before they become bottlenecks. What you'll learn: • Understand core artificial intelligence terminology and how Large Language Models (LLMs) function in a business context. • Apply basic prompt engineering techniques to summarize project updates, meeting transcripts, and stakeholder requirements. • Design concepts for AI-driven dashboards to monitor cross-team dependencies and track key performance indicators. • Practice using AI to draft communication plans, status reports, and executive summaries. • Explore modern concepts like Retrieval-Augmented Generation (RAG) to effectively query and extract insights from your internal project documentation. • Analyze project risks and resource allocations using AI-assisted evaluation methods. The curriculum begins with essential definitions and foundational principles before moving into hands-on reading exercises focused on real-world program management scenarios. You will progress through structured, written modules that systematically build your confidence in applying AI to complex organizational challenges. This course is designed specifically for technical and business program managers who are beginners to AI, requiring no prior coding, data science, or machine learning experience. Start reading today to modernize your program management toolkit and lead cross-functional initiatives with greater efficiency.