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 youre 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. Its an indispensable resource for engineers, data scientists, product managers, business analysts, educators, and executives determined to stay relevant in the new world of work.
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)
Dr. Ali Arsanjani is a pre-eminent technical executive who bridges architectural rigor and large-scale organizational strategy with industrial-scale execution. Widely recognized as the "father of SOA", he has led transformational initiatives across multiple organizations. He currently serves as Director of Applied AI Engineering at Google Cloud, where he leads the GenAI Blackbelts, a center of excellence that bridges research, forward-deployed engineering, and enterprise implementation. In this role, he drives strategic co-engineering programs with Google's most critical customers and partners, accelerating enterprise adoption of generative AI and agentic AI. Sadid Hasan, Ph.D., is a Principal AI leader in the Microsoft AI Development Acceleration Program within the Office of the CTO, where he drives enterprise-scale research and development of advanced Generative and Agentic AI capabilities, products, and solutions for Office Copilots and Azure AIOps initiatives. With more than 20 years of experience in AI research and innovation, he has led and contributed to groundbreaking work across generative AI, natural language processing, and machine learning, authoring hundreds of peerreviewed publications and patents. Before joining Microsoft, Sadid served as Executive Director of AI at CVS Health and as Senior Scientist and Technical Lead of the AI Group at Philips Research. Widely recognized as a thought leader, he frequently delivers keynote speeches, serves on program committees for top AI conferences, and contributes actively to the global AI research and practitioner community. He is dedicated to advancing the state of the art in AI, accelerating adoption across industries such as healthcare, education, legal, finance, and marketing, and developing the next generation of AI leaders to make transformational impact worldwide. He was recently named one of the 100 most influential AI leaders in the United States. Maxime Labonne is Head of Post-Training at Liquid AI. He holds a Ph.D. in Machine Learning from the Polytechnic Institute of Paris and is a Google Developer Expert in AI/ML. He has made significant contributions to the open-source community, including the LLM Course, tutorials on fine-tuning, tools such as LLM AutoEval, and best-in-class models like NeuralDaredevil. He is the author of the best-selling books LLM Engineer's Handbook and Hands-On Graph Neural Networks Using Python. Andreas Horn leads IBM's AIOps service portfolio across Europe, the Middle East, and Africa (EMEA), working with some of the largest enterprises to redesign IT operations around AI, automation, and resilience at scale. He brings hands-on experience from real transformation programs across regulated and complex environments, combining deep technical expertise with executive-level decision making. His work focuses on turning AI from experimentation into operating reality - measurable, governable, and tied to business outcomes. Andreas advises senior leaders on AI-powered operations and enterprise AI adoption, speaks frequently on the topic, and works at the intersection of technology, organization design, and long-term capability building. His perspective is shaped by what works in production environments - not what looks good on slides. Leonid Kuligin is a staff AI engineer at Google Cloud, working on generative AI and classical machine learning solutions (such as agentic AI, demand forecasting, and optimization problems). Leonid is also an associate researcher at TUM University Hospital, Technical University of Munich. With over two decades of experience, Leonid has a track record of building B2C and B2B applications and solving users' problems in domains such as search, maps, knowledge extraction, and investment management in industry-leading German and Russian technological, financial, and retail companies.
