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The Generative AI Career Masterplan. Navigate the future of AI with practical insights from industry pioneers at AI-first organizations Dr. Ali Arsanjani, Sadid Hasan, Maxime Labonne, Andreas Horn, Leonid Kuligin

(ebook) (audiobook) (audiobook) Język publikacji: angielski
The Generative AI Career Masterplan. Navigate the future of AI with practical insights from industry pioneers at AI-first organizations Dr. Ali Arsanjani, Sadid Hasan, Maxime Labonne, Andreas Horn, Leonid Kuligin - okladka książki

The Generative AI Career Masterplan. Navigate the future of AI with practical insights from industry pioneers at AI-first organizations Dr. Ali Arsanjani, Sadid Hasan, Maxime Labonne, Andreas Horn, Leonid Kuligin - okladka książki

The Generative AI Career Masterplan. Navigate the future of AI with practical insights from industry pioneers at AI-first organizations Dr. Ali Arsanjani, Sadid Hasan, Maxime Labonne, Andreas Horn, Leonid Kuligin - audiobook MP3

The Generative AI Career Masterplan. Navigate the future of AI with practical insights from industry pioneers at AI-first organizations Dr. Ali Arsanjani, Sadid Hasan, Maxime Labonne, Andreas Horn, Leonid Kuligin - audiobook CD

Autorzy:
Dr. Ali Arsanjani, Sadid Hasan, Maxime Labonne, Andreas Horn, Leonid Kuligin
Ocena:
This 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.

O autorach książki

Dr. Ali Arsanjani is the Director Applied AI Engineering at Google Cloud, and Head of GenAI Blackbelts and AI Center of Excellence, within the Google Cloud Product Engineering organization.Ali leads strategic pursuits for Cloud AI Partners and is the program manager for Google Cloud co-innovation and co-engineering programs that focus on adoption of Google AI for customers & partners through thought leadership, engagement, enablement and execution. Google's earliest adopters of GenAI have partnered closely with Dr.Arsanjani and his team on their use cases and adoption. He leads Generative and Agentic AI initiatives that enable customers and partners with the best-practices and tools that bring the capabilities of the Google Cloud AI platform to solve tactical and strategic challenges through best-practices and assets and achieving strong partnerships through strategic product co-innovation. Ali is an Adjunct Professor at San Jose State University and the University of California, San Diego, where he teaches and advises students in the Masters in Data program and the Data Science Institute, respectively. Prior to Google, Dr.Arsanjani was a Chief Principal Architect and WW Tech Lead at AWS, and previously CTO, Distinguished Engineer, Analytics and Machine Learning at IBM.
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 peer‑reviewed 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.

Dr Maxime Labonne kieruje zespołem Post-Training w Liquid AI. Jest uznanym ekspertem Google w dziedzinie sztucznej inteligencji. Organizuje kursy dotyczące dużych modeli językowych i pracuje nad modelami takimi jak NeuralDaredevil.

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 an active contributor to LangChain and the author of the many Google Cloud integrations on LangChain. He has been building complex tech products for almost 20 years, developing intense data and Machine Learning applications. Leonid has a degree in Applied Mathematics and Physics, and a degree in Finance. Since 2023, he has been working with key Google Cloud customers on various generative AI initiatives.

Dr. Ali Arsanjani, Sadid Hasan, Maxime Labonne, Andreas Horn, Leonid Kuligin - pozostałe książki

Packt Publishing - inne książki

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