Books, Courses, and Live Events to Learn Generative AI with O’Reilly - KDnuggets (2024)

Books, Courses, and Live Events to Learn Generative AI with O’Reilly - KDnuggets (1)
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Generative AI is growing, with more people interested in how they can transition into the AI sector. A big hit at the moment and if you have clicked on this link, you are also wondering what you can do to learn more about Generative AI.

In this blog, I will go through 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 the more practical learning route, this course from O’Reilly: Machine Learning, Data Science and Generative AI with Python starts as a Python crash course, setting up your computer, and then into the aspects of machine learning, artificial intelligence and data mining techniques, including deep learning and neural networks.

The course will also dive into the transformer architecture and its role in AI, and GPT applications, where you will be able to practice fine-tuning Transformers for tasks such as movie review analysis.

Link: Book - Applied Generative AI for Beginners

Level: Beginner

Another beginner-friendly resource to dive into the world of generative AI, where you will learn about the basics of neural networks to large language models such as ChatGPT and Google Bard. If you are interested in learning about generative AI and want to start from scratch - this book is a one-stop resource to do exactly that!

If you are a data scientist who is looking to learn about more advanced models or a business person who wants to leverage AI for enterprise 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 is more focused on generative AI, specifically in the enterprise - this report is for you. O’Reilly has created a report that unpacks the data from thousands of our users to explore just how many organizations are making use of generative AI tools.

Not only how many people are making use of it, but also how they are using it to get the most out of it and improve their workflow. In this report, you will discover the most popular generative AI models that are being used, their use cases, as well as the risks associated with generative AI tools which are making early adopters hesitant to use and implement them.

Link: Live Event - Generative AI for Everyone

Level: Intermediate

On the 12th of February, O’Reilly is holding a live event for the public to learn and understand about generative AI applications, benefits, and risks.

In this 2 hour live event, you will learn about generative AI applications and their potential impact on your organization. You will dive deeper into what prompt engineering is, why you should master it and how you can benefit from generative AI by creating content that is personalized and can automate tedious tasks.

Link: Book - Generative AI on AWS

Level: Intermediate/Expert

Although there are people out there who are hesitant to adopt generative AI, on the other hand, there are a lot of companies who are moving quickly to integrate generative AI into their products and services. However, there is still a grey area of how generative AI truly impacts and improves companies.

The authors of this book are from AWS, and they aim to guide CTOs, practitioners, application developers, business analysts, and more to find practical ways to use this exciting new technology. You will dive into the lifecycle of generative AI projects, whilst also exploring the different types of models such as large language models (LLMs) and multimodal models.

Link: Book - Prompt Engineering for Generative AI

Level: Intermediate/Expert

Prompt engineering is the beauty behind generative AI tools. We are seeing that AI Prompt Engineers are Making $300k/y, so you can imagine that it is a very good skill to learn in this day and age. In this book, you will learn how to apply generative AI models into practice and overcome the challenge of receiving reliable outputs through prompt engineering.

In this book, you will learn the overview of the five principles of prompting, an introduction to LLMs with text generation, standard practices, advanced techniques, image generations, 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, I have aimed to offer different types of resources as I understand that people learn in their own unique ways. O’Reilly offers many great resources to help you elevate your career, upskill, and ensure a continuous learning journey. Personal or within your team, start your learning journey today by clicking here.

Nisha Arya is a data scientist, freelance technical writer, and an editor and community manager for KDnuggets. She is particularly interested in providing data science career advice or tutorials and theory-based knowledge around data science. Nisha covers a wide range of topics and wishes to explore the different ways artificial intelligence can benefit the longevity of human life. A keen learner, Nisha seeks to broaden her tech knowledge and writing skills, while helping guide others.


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Books, Courses, and Live Events to Learn Generative AI with O’Reilly - KDnuggets (2024)

FAQs

What is the best book for Generative AI? ›

“Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville: Often referred to as the “Bible of Deep Learning,” this comprehensive book covers the fundamentals, making it indispensable for understanding generative models.

How do I prepare for Generative AI? ›

Skill Sets Required. In preparing for a future dominated by generative AI, you'll need to acquire a diverse range of skills. These skills are not merely technical but extend to areas like data ethics, creativity, and strategic thinking.

How to learn Genai? ›

How To Learn Generative AI From Scratch? A Complete Guide [2024]
  1. Know the Basics of AI And ML.
  2. Learn Necessary Technologies & Skills.
  3. Learn About Machine Learning & Deep Learning.
  4. Computer Vision & Natural Language Processing Is Must.
  5. Mathematics & Statistics.
  6. Knowledge of Programming Languages.
  7. Enroll in a Training Program.
Apr 16, 2024

What are the most popular Generative AI models? ›

The best generative AI tools at a glance
CategoryBest for
JasperAI writing generatorsMaintaining brand voice
ShortwaveAI writing generatorsEmail assistance
RunwayAI video toolsFreeform and creative videos
Wondershare FilmoraAI video toolsAI video editing
16 more rows
Jun 7, 2024

What is the difference between generative AI and AI? ›

Generative AI. Artificial Intelligence or AI broadly refers to any system that can demonstrate human intelligence capabilities like reasoning and learning. On the other hand, generative AI represents a more specific subfield of AI focused entirely on content creation.

What is the downside of generative AI? ›

Lack of trust and authenticity

Gen AI can generate information that appears factual but is often inaccurate. This is often called AI hallucinations. We must remember that: although Gen AI models appear to understand the content that they use and generate, they do not understand it.

Where to start learning generative AI? ›

You can use generative AI resources from reliable platforms such as a learning path by Google or training courses on platforms such as LinkedIn Learning. You can explore Google's learning path on generative AI to learn about the fundamentals of generative AI, LLMs, and responsible AI.

How much time does it take to learn generative AI? ›

Learn Generative AI in 30 Hours.

Do I need to learn Python for generative AI? ›

Python plays a pivotal role in the development of generative AI, creating significant career opportunities in technology. Mastering these top 10 Python programming skills is essential for staying competitive: Working with variables and data types. Using Python lists.

Which course is best for generative AI? ›

In summary, here are 10 of our most popular generative ai courses
  • Generative AI for Everyone: DeepLearning.AI.
  • Generative AI Automation: Vanderbilt University.
  • Generative AI Fundamentals: IBM.
  • Introduction to Generative AI : Google Cloud.
  • Generative AI Assistants: Vanderbilt University.

Is Google's AI course free? ›

Google AI Essentials costs $49 on Coursera. When you purchase the course, you'll have access to all course materials, including videos, activities, readings, and graded assessments.

Is the Google generative AI course worth it? ›

Really good course for understanding the fundamentals of Artificial Intelligence, as well as the role of Machine Learning, Deep Learning, Generative AI and the varrious models and techniques used.

Is Alexa a generative AI? ›

Amazon insists it is fully committed to delivering a generative AI Alexa, adding that its vision remains to build the “world's best personal assistant.” An Amazon representative pointed out that over half a billion Alexa-enabled devices have been sold, and customers interact with Alexa tens of millions of times every ...

What is the next in generative AI? ›

Integrative AI Systems The future of AI involves systems that are not only intelligent but also integrative. These systems will seamlessly combine data from diverse sources, offering holistic solutions that are more efficient and effective.

What is the popular AI image generator everyone is using? ›

Adobe Firefly

As a result, it's not surprising that its image generator is impressive. Accessing the generator is easy: just visit the website and type the prompt of the image you'd like generated. As you can see above, the rendered images of the Yorkies are high-quality, realistic, and detailed.

What is the best book to read about AI? ›

AI books for beginners
  • “Artificial Intelligence For Dummies (2nd Edition)” ...
  • “Python: Beginner's Guide to Artificial Intelligence” ...
  • “Fundamentals of Machine Learning for Predictive Data Analytics – Algorithms, Worked Examples and Case Studies (2nd Edition)” ...
  • “Life 3.0 Being Human in the Age of Artificial Intelligence”

What is the most realistic AI creator? ›

The best AI image generators
  • DALL·E 3 for an easy-to-use AI image generator.
  • Midjourney for the best AI image results.
  • Stable Diffusion for customization and control of your AI images.
  • Adobe Firefly for integrating AI-generated images into photos.
  • Generative AI by Getty for usable, commercially safe images.

Can you invest in generative AI? ›

If the emerging innovations in generative AI and machine learning sound exciting, investing in AI might be an appealing option. Even if you've never invested in the stock market before, you can learn how to start investing, decide how much to invest, and open a brokerage account.

Is generative AI free to use? ›

Explore generative AI in a free Elastic trial. Unlock powerful generative AI (GAI) capabilities using LLMs with a free 14-day trial. Test out ingesting your data, build a proof of concept, and kick the tires on Elastic's machine learning and retrieval augmented generation (RAG) capabilities.

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