AI For Project Management

About this course

Use generative AI across the project lifecycle. Over three days you will learn what LLMs can and cannot do, prompt with the COSTAR framework, prioritise use cases, evaluate AI tools, and apply AI in predictive and adaptive projects while verifying its output.

What you'll learn

• Explain what LLM-based generative AI can and can't do, and recognize the "confidence trap" before it costs you.
• Prompt effectively using a structured, iterative approach (the COSTAR framework).
• Identify and prioritize AI use cases with an automation / augmentation / transformation lens and a feasibility-impact matrix.
• Evaluate AI tooling, embedded, standalone, and private LLMs, using the DVF (Desirability, Viability, Feasibility) framework.
• Apply AI across the project lifecycle in both predictive and adaptive environments.
• Use AI for data analysis, validation, summarization, and information retrieval, and verify its output.
• Manage ethics, bias, disclosure, data privacy, and compliance in AI-assisted projects.
• Build a team AI adoption roadmap grounded in change-management practice (the adoption curve, ADKAR, SMART goals, and ROI).
• Leave with a personal 30/90-day development roadmap to sustain momentum after class.

Curriculum

Who it's for

Project managers and PMO professionals with foundational project management knowledge.

Before you start

• Foundational project management knowledge is necessary for all participants.

Part of these Alalamia diplomas

• Alalamia Diploma in Project Management (Predictive and Agile)