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:
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:
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.
表中的内容
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
关于作者
My name is Bolakale Aremu, and I am the CEO of AB Publisher LLC, a media publishing company. I am a computer engineer and computer scientist with over 17 years of experience teaching artificial intelligence, software development, and computer hardware architecture. In recent years, I have contributed to the IT industry by developing a variety of programs for Windows, mac OS, and PLCs (Programmable Logic Controllers).I specialize in building solutions from scratch and frequently modify open-source software to meet my clients’ specific needs. As an embedded systems expert, I design embedded systems that balance performance and cost while meeting complex requirements. I utilize Stratify OS-a POSIX-like RTOS for microcontrollers-to efficiently develop sophisticated firmware applications in Python and C/C++. I also lead a dedicated team of Python programmers focused on addressing automation challenges and providing innovative solutions.
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