COURSE OVERVIEW

This practical and highly-interactive course includes various practical sessions and exercises. Theory learnt will be applied using our state-of-the-art simulators.

This course is designed to provide participants with a detailed and up-to-date overview of PMI Cognitive Project Management in AI. It covers the PMI-based project management, cognitive project management and AI and machine learning fundamentals for PMS; the strategic alignment of AI projects, business value mapping for AI initiatives, feasibility and ROI considerations and governance and ethics in AI strategy; and the PMI talent triangle and AI, initiating cognitive AI projects and developing AI-adapted project plans.

Further, the course will also discuss the resource and team planning for AI projects, data governance and ethics in AI planning; the AI risk planning and cognitive risk response, cost estimation and budgeting in AI projects; the scheduling and milestone mapping, timeboxing in agile AI projects, ML experiment cycles and iteration tracking; the Gantt versus Kanban for AI timelines, modeling uncertainty in project timelines and leading cognitive teams; and the human-AI collaboration in execution, communication and change management and data pipeline and infrastructure management.

During this interactive course, participants will learn the quality assurance and AI validation, procurement and AI vendor management and performance monitoring using AI; the cognitive risk control and incident response, scope, schedule and cost control and change requests and model updates; the compliance and audit readiness, cognitive decision support tools and closing AI projects successfully; the AI-specific retrospectives and feedback loops for future AI projects; measuring cognitive maturity and growth, cross-project learnings and best practices; and the cognitive PMO and portfolio integration, AI project metrics and value realization, continuous learning and AI capability development.