Generative AI is a fascinating area of artificial intelligence, and it’s changing the way we interact with technology.
If you’re curious about exploring this field, here’s a straightforward guide to some key courses from Google that can help you understand and apply AI concepts.
1. Introduction to Generative AI
Start with the basics in this introductory course. You’ll learn what generative AI is all about, how it works, and how it differs from traditional machine learning. This course sets the foundation by explaining the key ideas and real-world uses of generative AI.
Start here: https://www.cloudskillsboost.google/paths/118
2. Image Creation
This course introduces you to Large Language Models (LLMs), which are essential tools in generative AI. You’ll also explore the importance of Responsible AI, learning how to use AI ethically. By the end, you’ll have the chance to earn a skill badge to show off your new knowledge.
3. Responsible AI
Responsible AI is all about using AI in ways that are fair, safe, and ethical. This course teaches you how to train and deploy AI models that create images while keeping ethical considerations in mind. Completing this course will earn you a badge that recognizes your understanding of these important principles.
4. Large Language Models (LLMs)
Dive deeper into Large Language Models (LLMs) with this course. You’ll learn what these models are, how they work, and where they can be used. It’s a comprehensive guide to understanding one of the most powerful tools in AI today.
5. Encoder-Decoder Architecture
The encoder-decoder architecture is a key concept in AI, used in various applications like translation and text generation. This course gives you a clear understanding of how this framework operates and its role in making AI systems more efficient.
6. Transformer and BERT Models
Transformers and BERT models are two fundamental AI architectures that have transformed the field. In this course, you’ll learn about their structures, how they function, and where they can be applied. Successfully completing this course will earn you another badge to showcase your knowledge.
7. Attention Mechanism
Attention mechanisms help AI systems focus on important parts of data, improving their performance. This course explains how attention works and why it’s so beneficial in various AI tasks. By the end, you’ll understand how to use attention mechanisms to enhance AI systems.
8. Generative AI Studio
If you want to integrate AI into your projects, this course is for you. Generative AI Studio is a tool that allows you to add AI capabilities to your applications. This course covers the features of this tool and teaches you how to use it effectively in your work.
9. Image Recognition
Image recognition is a crucial area in AI, where machines learn to understand and interpret images. This hands-on course guides you through the process of building your own AI that can recognize and analyze images. By the end, you’ll have practical experience and a working image-recognition AI.
Conclusion
These courses provide a well-rounded introduction to generative AI, covering everything from the basics to more advanced topics like image recognition and responsible AI use. Whether you’re just starting out or looking to deepen your knowledge, these learning paths can help you explore the exciting world of generative AI.