The Technical Program Manager's Guide to Practical AI : Workflows and Frameworks for Smarter, Faster, Higher-Impact TPM Execution

1,750 TWD
KPC會員價
1,575
English

產品說明

Master AI tools and methodologies to transform from a traditional TPM into an AI-enabled leader, unlocking scale, speed, and impact beyond human capacity limits Key Features AI Foundations and human judgement (EQ) you need as a TPM Effective Prompting and Agents frameworks Practical AI use cases across the Technical Program Lifecycle Book DescriptionTechnical Program Managers operate in increasingly complex environments where scale, speed, and cross-functional coordination often exceed human capacity. AI is rapidly transforming how this work gets done, and TPMs need practical ways to apply it in their day-to-day workflows. This book shows you how to use AI across the TPM lifecycle to reduce operational overhead, accelerate decision-making, and increase strategic impact. Each chapter combines hands-on practical AI use cases, frameworks (inputs → AI assist → human verification → output), and practical guidance tailored to TPM workflows, helping you navigate tools, understand trade-offs, and apply AI effectively. You’ll learn how to apply AI for planning, technical reviews, dependency management, risk analysis, status reporting, stakeholder communication, workflow automation, and career management. The book also covers prompt engineering, AI agents, governance considerations, and how to evaluate AI tools effectively in enterprise environments.What you will learn AI tools, concepts and methodologies AI agents, workflows and their creation Effective prompt engineering frameworks AI tools evaluation, selection and trade offs AI strategies throughout the program lifecycle AI automations for career management Human input (EQ) vs AI driven automation balance Who this book is forThis book is for Technical Program Managers, Engineering Program Managers, Project Managers, Program Leads, and technology professionals (Engineering Managers, Product Managers and others) who want to apply AI to improve execution, decision-making, and impact across complex environments. A basic under

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