Generative AI in Action

Generative AI in Action

(5 customer reviews)

Original price was: $59.99.Current price is: $24.00.

Product details :
    (108 Video: 12 Hours 27 Minutes • 1 Book: Pages: 466)

    Generative AI in Action: Complete Professional Bundle (Book + Video Course)
    Unlock the transformative power of Generative AI for your business with the ultimate resource package.

    Overview:
    Dive into the world of Generative AI with this all-in-one bundle, combining the acclaimed book Generative AI in Action by Amit Bahree with the comprehensive Generative AI in Action, Video Edition course. Together, these resources offer a practical, enterprise-focused guide and immersive training experience for architects, developers, and data scientists eager to harness the full potential of large language models and cutting-edge AI techniques.

    What’s Included

    Generative AI in Action (Book)

    • Author: Amit Bahree (Principal Group Product Manager, Azure AI Engineering, Microsoft)
    • Format: Free eBook (PDF & ePub via Manning Publications)
    • Content Highlights:
      • Practical overview of generative AI techniques with real-world applications across text, image, code, audio, and more.
      • Architectural patterns, integration strategies, and best practices for deploying AI at enterprise scale.
      • In-depth exploration of the latest innovations—retrieval-augmented generation (RAG), prompt engineering, and multi-modality.
      • Insights into risks and challenges, including hallucinations and security considerations, with actionable guidance for mitigation.
      • Strategic frameworks for aligning Generative AI with your business objectives and IT roadmap.
      • Ethical, responsible deployment guidance to ensure trust and compliance.
    • Bonus: Access to a curated GitHub repository with practical code samples, architectures, and responsible AI tools.

    Generative AI in Action, Video Edition (Course)

    • Instructor: Amit Bahree
    • Publisher: O’Reilly
    • Duration: 12 hours 27 minutes
    • Level: Beginner to Advanced
    • Course Features:
      • Step-by-step video lessons covering the fundamentals and advanced applications of Generative AI.
      • Hands-on walkthroughs for generating text, images, code, video, audio, and music with state-of-the-art AI models.
      • Deep dives into prompt engineering, RAG, vector databases, and domain adaptation techniques.
      • End-to-end demonstrations of integrating Generative AI with business workflows—marketing, reporting, analytics, and beyond.
      • Guidance on scaling, deploying, and operating AI solutions in production, including LLMOps/MLOps best practices.
      • Thorough treatment of ethical, legal, and operational considerations, including content safety, red-teaming, and the responsible AI lifecycle.
      • Practical appendices detailing GitHub resources, transparency practices, and cutting-edge responsible AI toolkits.

    Who Should Buy This Bundle?

    This bundle is tailored for enterprise architects, developers, data scientists, product managers, and technical leaders aiming to implement Generative AI in production environments, upgrade their solutions with AI, and navigate the complexities of large-scale, responsible deployment.

    Why Choose This Bundle?

    • End-to-End Guidance: From technical understanding to actionable enterprise strategies, this bundle bridges theory and practice with proven real-world insights.
    • Authoritative Expertise: Learn directly from an industry leader at Microsoft with nearly a decade at the forefront of Generative AI.
    • Practical & Scalable: Gain immediately applicable, scalable tools and techniques for your organization’s journey into AI-powered solutions.
    • Ethics & Responsibility: Stay ahead of industry standards with informed, actionable approaches to safe, trustworthy AI deployment.

    Empower your team and future-proof your business. Get the Generative AI in Action bundle today—your complete toolkit for mastering enterprise Generative AI.

    5 reviews for Generative AI in Action

    1. Roy Wilsker (verified owner) –

      (Disclaimer 1: I served as a reviewer for this book.)
      (Disclaimer 2: I used ChatGPT to edit my original text for this review.)

      Generative AI in Action is a clear, well-structured guide with numerous documented examples in Python, utilizing both OpenAI and Azure OpenAI. An accompanying GitHub repository provides all the code, enhancing the book’s practicality. Each chapter ends with an excellent summary, reinforcing key concepts.

      This book is ideal for learning about generative AI and getting a strong foundation in working with large language models (LLMs), both through code and interactive text.

      Key Highlights:

      Chapter 1:
      – Introduces generative AI, explaining how it differs from “traditional” AI.
      – Discusses when generative AI is appropriate and when it may not be the best solution.
      – Covers various architectural and cost considerations in implementing generative AI.
      – Provides examples of business-oriented use cases.

      Chapter 2:
      – Focuses on large language models (LLMs), with an in-depth look at Transformer architecture.
      – Explores different types of LLMs available on the market.

      Chapter 3:
      – Dives into text generation using an API to interact with LLMs.
      – Emphasizes both standard and advanced parameters for effective API communication.

      Chapters 4 and 5:
      – Expand on content generation, including images, code, video, and audio content (such as music).

      Chapters 6, 7, 8, and 9:
      – Shift to advanced applications and techniques:
      – Understanding and optimizing prompt engineering.
      – Retrieval-Augmented Generation, a critical topic in improving model accuracy.
      – Integrating LLMs with enterprise data.
      – Adapting and fine-tuning models for specialized use cases.

      Chapters 10, 11, and 12:
      – Focus on deploying models effectively and evaluating their performance over time.

      Chapter 13:
      – Addresses the essential topic of using generative AI ethically.
      – Discusses common ethical pitfalls and best practices to help practitioners avoid them.

      Overall, “Generative AI in Action” is an excellent resource for practitioners seeking a deeper understanding of generative AI, practical applications, and best practices for using it effectively.

    2. Louis L. (verified owner) –

      (Disclaimer: I served as a reviewer for the publisher as this book was being written)

      Generative AI in Action is a good introduction to many aspects of Generative AI (Gen AI). It covers:
      1. Overview of Gen AI and Large Language Models (LLM). What Gen AI can do, where it fits in with other AI techniques (e.g., machine learning including deep learning). How Gen AI models are developed; foundational models and transformer architecture. The concepts of prompts and tokens.

      2. Use of Chat GPT Application Programming Interface (API). Programming with ChatGPT with Python. Note: I generally use Google Gemini. General concepts and programming patterns transfer immediately (there are libraries that allow seamless switching) Some specific settings/terms are ChatGPT specific. Note that while things change in this world, the Github repository that is associated with the book and code is kept up to date with changes in ChatGPT API.

      3. Prompt engineering. How to write prompts or series of prompts to get the best results. This works both through the web/text interfaces and through the API.
      4. Deployment, ethics, and other issues. Discussions on how to use this in practical contexts. Both the mechanics of using this is aa practical setting. but also a discussion on ethical issues that you should work through to ensure that Gen AI is giving useful answers, or is it giving problematic answers because of its nature and the nature of the training data (the content available on the internet.

      I work with Gen AI regularly with a range of diverse business partners within my company. This ranges from highly technically proficient computer engineers, to other data specialists of various types, to management, to subject matter experts, to creative content creators. This book covers both breadth in the four areas discussed here, but in enough depth to enable sophisticated use of Gen AI and to have meaningful conversations across the range of people who are interested parties in practical applications for a new methodology. Which is appropriate for an “in Action” book title.

    3. Violet (verified owner) –

      This is an excellent book for anyone that is new to generative AI or that wants to increase their depth in the domain. It covers a broad range of foundational GenAI concepts, explains them clearly, and is written in simple, easy-to-understand language.

      I loved that the book doesn’t just focus on theory—it includes plenty of code samples that show how to apply the concepts. It covers the entire lifecycle of building and managing an AI application, including topics like prompt engineering, optimizations, observability, and cost management.

      If you’re looking for a practical and beginner-friendly guide to getting started with Generative AI, this book is a must-read. Highly recommend it!

    4. Kettleback (verified owner) –

      I am writing a review of a book that is a must-read for AI enthusiasts, written by my colleague Amit Bahree, who was instrumental in jumpstarting my career in technology.

      **Generative AI in Action** by Amit Bahree is a must-read for anyone interested in the rapidly evolving field of artificial intelligence. This comprehensive guide not only introduces the fundamental principles of AI but also delves into its practical applications in an enterprise context. From generating text and images for product catalogs and marketing campaigns to technical reporting and even writing software, this book covers it all.

      What sets this book apart is Amit Bahree’s extensive experience leading Generative AI projects at Microsoft for nearly a decade. His insights and real-world examples provide a concrete understanding of how generative AI can be leveraged in various business scenarios. The book is particularly timely, given the current GPT revolution, and offers valuable perspectives on the future of AI.

      Moreover, **Generative AI in Action** emphasizes the importance of identifying new scenarios enabled by generative AI technologies. It encourages readers to explore innovative ways to harness the full potential of these technologies, making it an invaluable resource for anyone aspiring to champion generative AI in their organization.

      Overall, “Generative AI in Action” is an invaluable resource for both beginners and seasoned professionals looking to deepen their knowledge of generative AI and its applications. Highly recommended!

    5. chris (verified owner) –

      This book was the textbook for a college course that was the most interesting class I have taken. I learned how to fine-tune a foundation model, prompt engineering, and many more skills.

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