The Generative AI Career Masterplan : Navigate the future of AI with practical insights from industry pioneers at AI-first organizations

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The Generative AI Career Masterplan : Navigate the future of AI with practical insights from industry pioneers at AI-first organizations

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  • 製本 Paperback:紙装版/ペーパーバック版
  • 言語 ENG
  • 商品コード 9781806691456

Full Description

Kick-start your Agentic AI career with insights from leaders at Google, Microsoft, IBM, and Liquid AI. Learn the skills, strategies, and tools to transition fast and lead in the era of intelligent systems.

Key Features

Discover the only comprehensive career roadmap for the Generative AI era
Learn directly from top industry experts, leaders, and AI innovators
Build future-proof skills, from prompt engineering to ethical AI strategy
Purchase of the print or Kindle book includes a free PDF eBook

Book DescriptionThis book is a landmark publication, the first-ever collaborative guide authored by a powerhouse lineup of industry leaders from Google, Microsoft, IBM and Liquid AI. This all-in-one resource demystifies the Agentic AI revolution and delivers a practical, career-centered framework for every professional, from graduates to senior executives.
You'll start by understanding Gen AI's impact on the job market and decoding core concepts like LLMs, transformers, and prompt engineering. With detailed role descriptions and leveling matrices to identify and build a roadmap tailored to your background.
Next, dive into the Gen AI tech stack: RAG architectures, vector databases, function calling, multi-agent systems, and LLMOps. Explore essential frameworks including LangChain, LlamaIndex, Haystack, & Hugging Face, learning when and how to apply each tool effectively. Beyond technical skills, you'll cultivate the human advantages AI cannot replicate, critical thinking, adaptability, creativity, and ethical judgment. Real-world use cases span finance, healthcare, software development, and marketing, demonstrating how Gen AI transforms industries.
More than a technical guide, this is a career transformation blueprint. It integrates practical frameworks for skill development, job search strategies, and personal branding in an AI-augmented world.What you will learn

Understand the global impact of Generative and Agentic AI on jobs and industries
Master key GenAI & Agentic AI concepts for any professional background
Identify your best-fit AI career path and transferable skills
Build familiarity with LlamaIndex, Haystack, Hugging Face, and core RAG workflows
Build an AI-enhanced personal brand using the 5-Layer LinkedIn Strategy and Portfolio Showcase Framework
Apply ethical and responsible AI principles and governance in real-world practice
Create a lifelong learning and upskilling roadmap for sustained growth

Who this book is forThis book is for graduates, professionals, and leaders seeking to future-proof their careers and capitalize on the rise of Generative AI. Whether you're entering the job market, transitioning from a traditional tech or non-tech role, or aiming to lead AI transformation, this guide provides the clarity, tools, and confidence to take control of your trajectory. It's an indispensable resource for engineers, data scientists, product managers, business analysts, educators, and executives determined to stay relevant in the new world of work.

Contents

Table of Contents

Generative AI: Why You Should Care (Advantages and Risks to Jobs)
Decoding Gen AI: Core Concepts for Every Professional
Mapping Your Path: Roles and Roadmaps in Gen AI
Gen AI Architectures and Advanced Concepts (Prompt Engineering, RAG, Vector DB, Function Calling, Agents, LLMOps)
Essential Tools and Platforms
Mastering Hard Skills: The Technical Edge
Cultivating Soft Skills: Your Indispensable Human Advantage
Strategic Career Moves: Entry, Transition, and Upskilling
Industry Use-Cases
Productionalizing Generative AI Applications
Crafting Your AI Identity: Personal Branding for Impact
Conquering the AI Job Market: Search Techniques and Interview Tips
Expert Insights and Sustaining Growth (Tips, Interviews, Community)

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