Editor's Image
Generative ai is growing and more and more people are interested in how they can transition into the ai sector. A big hit right now and if you've clicked on this link, you might also be wondering what you can do to learn more about Generative ai.
In this blog, I will review the books, courses, and live events available with O'Reilly to learn about generative ai.
Link: Course – Machine Learning, Data Science and Generative ai with Python
Level: beginner
For those who want a more hands-on learning path, this O'Reilly course: Machine Learning, Data Science, and Generative ai with Python starts as a Python crash course, setting up your computer and then getting into the machine learning aspects, artificial intelligence. and data mining techniques, including deep learning and neural networks.
The course will also delve into transformer architecture and its role in ai and GPT applications, where you can practice tuning transformers for tasks such as analyzing movie reviews.
Link: Book – Applied Generative ai for Beginners
Level: beginner
Another beginner's resource to dive into the world of generative ai, where you'll learn from the basics of neural networks to large language models like ChatGPT and Google Bard. If you're interested in learning about generative ai and want to start from scratch, this book is a comprehensive resource to do exactly that!
Whether you are a data scientist looking to learn about more advanced models or a business person looking to leverage ai for business growth, this book will be your guide to mastering generative ai: theoretical knowledge with practical insights.
Link: Report: Generative ai in the enterprise
Level: Beginner/Intermediate
If you're looking for a new read, something that focuses more on generative ai, specifically in the enterprise, this report is for you. O'Reilly has created a report that unpacks data from thousands of our users to explore how many organizations are using generative ai tools.
Not just how many people use it, but also how they use it to get the most out of it and improve their workflow. In this report, you will discover the most popular generative ai models being used, their use cases, as well as the risks associated with generative ai tools that make early adopters hesitant to use and implement them.
Link: Live event: Generative ai for everyone
Intermediate level
On February 12, O'Reilly will host a live event for the public to learn and understand the applications, benefits, and risks of generative ai.
In this 2-hour live event, you will learn about generative ai applications and their potential impact on your organization. You'll delve into what rapid engineering is, why you should master it, and how you can benefit from generative ai by creating content that's personalized and can automate tedious tasks.
Link: Book – Generative ai on AWS
Level: Intermediate/Expert
Although there are people who are hesitant to adopt generative ai, on the other hand, there are many companies that are moving quickly to integrate generative ai into their products and services. However, there is still a gray area about how generative ai actually impacts and improves businesses.
The authors of this book are from AWS and aim to guide CTOs, professionals, application developers, business analysts, and more in finding practical ways to use this exciting new technology. You will dive into the lifecycle of generative ai projects while exploring different types of models, such as large language models (LLM) and multimodal models.
Link: Book – Rapid engineering for generative ai
Level: Intermediate/Expert
Rapid engineering is the beauty behind generative ai tools. We're seeing that ai Prompt engineers are making $300k a year, so you can imagine that's a pretty good skill to learn nowadays. In this book, you will learn how to apply generative ai models in practice and overcome the challenge of receiving reliable results through rapid engineering.
In this book, you will learn an overview of the five principles of prompting, an introduction to LLMs with text generation, standard practices, advanced techniques, image generation, and more. Learn the structure of the interaction chain of your program's ai model and the key principles of natural language processing, text and image generation, and code.
In this blog, my goal is to offer different types of resources, since I understand that people learn in their own way. O'Reilly offers many great resources to help you advance your career, enhance your skills, and ensure a continuous learning journey. Personally or within your team, start your learning journey today by clicking here.
nisha arya is a data scientist and freelance technical writer. She is particularly interested in providing professional data science advice or tutorials and theory-based data science insights. She also wants to explore the different ways in which artificial intelligence can benefit the longevity of human life. A great student looking to expand her technological knowledge and writing skills, while she helps guide others.
