Generative AI from Beginner to Paid Professional
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Generative AI from Beginner to Paid Professional

An Introductory Microlearning Guide to Generative AI and Google Tools

About the Book

Unlock the Power of Generative AI and Accelerate Your Journey from Beginner to Paid Professional.

Are you eager to break into the world of Generative AI but unsure where to start? This step-by-step series is designed for anyone looking to quickly grasp the fundamentals of AI and harness its potential to enhance their skills, grow their career, and start monetizing their expertise.

In Part 1 of this essential series, you’ll dive into the basics of Generative AI, discovering how powerful tools from Google and other major platforms can transform your workflow, ignite your creativity, and open new career opportunities. Written in an easy-to-digest microlearning format, this guide simplifies complex AI concepts, ensuring you gain practical skills from day one.

  • What You’ll Learn:Generative AI Essentials: Master the foundations of AI technology and how it’s revolutionizing industries worldwide.
  • Google Tools for AI: Explore Google’s suite of AI-powered tools and learn how to integrate them into your projects.
  • Real-World Applications: Get hands-on experience with actionable examples and projects designed to elevate your understanding.

This series goes beyond theory because it takes you on a progressive journey from foundational knowledge to advanced skills needed to become a professional in the rapidly growing AI field.

  • What’s Next in the Series? After establishing a solid base in Part 1, you’ll advance to topics like:LangChain & Hugging Face API: Unlock more powerful tools for building AI models and applications.
  • Gemini Pro LLM Models & Vector Databases: Learn to work with cutting-edge language models and efficient data handling systems.
  • Llama Index & AI Deployment Projects: Gain the skills to deploy AI projects in real-world environments, ready to impress clients or employers.

Whether you’re a student, freelancer, or professional looking to boost your expertise, this book series will guide you every step of the way, turning you into a confident AI professional ready to meet the demands of a rapidly evolving market.

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  • Categories

    • Artificial Intelligence
    • Machine Learning
    • Computer Science
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About the Author

Bolakale Aremu
Bolakale Aremu

Bolakale Aremu is a self publisher dedicated to transforming the landscape of Artificial Intelligence communication and content creation. With over 17 years of experience in computer hardware architecture and software development, he possesses a deep understanding of the transformative power of AI models.

As an author and also the CEO of AB Publisher LLC, Bolakale has pioneered innovative ways to utilize AI, helping businesses and individuals unlock its vast potential. His mission is to empower users by demystifying software engineering concepts and equipping them with the tools needed to leverage AI for productivity, creativity, and profitability. In addition to his work in AI, Bolakale is a dedicated educator who enjoys helping others discover the possibilities of AI technology. Through his writing, teaching, and leadership, he continues to inspire others to embrace the future of AI and its limitless potential.

For any inquiry, you can contact us any time. If you want to contribute your knowledge to this website, or if you have a request, just send us your message. We promise to do our best to help.

Bolakale Aremu (CEO), AB Publisher LLC.

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Table of Contents

  • 0. About The Series
  • 0.1. What’s Covered in This Series
  • 1. Introduction
  • 1.1 What is Generative AI?
  • 1.2 What is AI?
  • 1.3. What is Machine Learning?
  • 1.4 Deep Learning as a Subset of Machine Learning
  • 1.5 How Generative AI Fits into AI
  • 1.5.2. Formal Definition of Generative AI
  • 1.5.3. Transformers
  • 1.5.4. Prompt and Prompt Design
  • 1.5.5. Model Types
  • 1.5.6. Foundation Models
  • 1.5.7. The Vertex AI Studio
  • 1.5.8. The Vertex AI
  • 1.5.9. Gemini
  • 1.5.10. Wrap up
  • 2. Generative AI Practice Exercise
  • 2.1. Multiple Choice Questions
  • 2.2. Correct Responses
  • 2.3. Overview of Upcoming Parts of the Series
  • 2.4. How to Get Further Help & Support
  • References
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