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Technical Program Manager's Handbook

Technical Program Manager's Handbook

By : Joshua Alan Teter
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Technical Program Manager's Handbook

Technical Program Manager's Handbook

5 (3)
By: Joshua Alan Teter

Overview of this book

The role of the Technical Program Manager (TPM) is crucial in the tech industry, bridging the gap between technical expertise and business acumen. The second edition of the Technical Program Manager’s Handbook offers a comprehensive guide to excelling in this role. Building on the foundational concepts from the first edition, this updated version introduces new chapters that explore the integration of AI and Emotional Intelligence (EI) in program management. These crucial additions complement the broader focus of the book on bridging business and technology but don’t overshadow it. You'll learn how to apply AI-driven tools to enhance project planning, risk management, and stakeholder communication, as well as how to leverage EI to build strong team relationships and improve leadership effectiveness. This book provides practical tools, methodologies, and case studies, offering insights from industry leaders to help both aspiring and practicing TPMs apply advanced concepts and strategies effectively. It also explores the unique aspects of the TPM role in major tech companies, helping you to navigate and thrive in your career. By the end of this book, you'll have a clear understanding of the TPM role, along with a breakdown of the necessary technical and program management skills, to develop a clear roadmap for your career.
Table of Contents (21 chapters)
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1
Section 1: What Is a Technical Program Manager?
5
Section 2: Fundamentals of Program Management
13
Section 3: Technical Toolset
19
Other Books You May Enjoy
20
Index

Examining current capabilities and limitations of AI tools

When talking about AI tools, this really means GenAI systems that are either fine-tuned for a specific use case or are in generic forms. Often, you will hear people talk about GenAI in conversations and this is referring to the models that we’ve talked about so far: Google’s Bard or Gemini, Amazon’s Q, OpenAI’s ChatGPT, Anthropic’s Claude, and so on. These are the chatbot systems that allow us to interact directly with the LLMs developed for generative text content.

Conversely, when people discuss AI tools, what they are referring to are specialized forms of these same LLMs or purpose-built LLMs for a given need. Table 14.1 below gives a current-as-of-writing snapshot of the top 10 AI web products based by site visits.

...
Rank
Model (Company)
Description

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