As AI reshapes industries and workflows, project managers face a new frontier—not just using AI tools but leading the development and delivery of AI systems themselves. This concise and practical handbook initiate PMs into AI projects with the knowledge, frameworks, and strategies needed to manage AI projects with confidence and clarity.
From understanding core AI concepts to navigating prompt engineering, data governance, ethical risks, and multi-agent workflows, this book bridges the gap between traditional project management and the demands of intelligent systems. Whether you're stepping into your first AI initiative or scaling enterprise-level deployments, this guide is your essential companion for strategic execution in the age of artificial intelligence.
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Shakeel Daimi
Shakeel Daimi has spent over two decades working in leading global IT enterprises, with a career grounded in project and program management. He has managed large-scale technology, transformation, automation, and infrastructure initiatives across complex enterprise environments. Over the past several years, his professional focus has increasingly extended into data privacy, AI governance, and Responsible AI, reflecting the evolving demands of modern technology leadership. He holds multiple industry certifications and professional accreditations. His work centers on helping organizations adopt AI in a responsible, secure, and sustainable manner, while balancing innovation, governance, and long-term value
