Master Generative AI in 10 Days with Google's Free Course

Home AI News Master Generative AI in 10 Days with Google's Free Course

Master Generative AI in 10 Days with Google's Free Course

Introduction to Generative AI
Introduction to Large Language Model
Introduction to Responsible AI
Encoder-Decoder Architecture
Attention Mechanism
Create Image Captioning Model
Introduction to Generative AI Studio
FAQ
Resources

Introduction to Generative AI

In this Course, you will learn about the basics of generative AI. Generative AI is a field of artificial intelligence that focuses on creating new data such as text, images, or Music. This course will introduce you to the concept of generative AI and its wide range of applications in areas such as machine translation, content generation, and fraud detection. By completing this course, you will gain a solid understanding of the fundamentals of generative AI.

Introduction to Large Language Model

This course will provide an introduction to Large Language Models. Language models play a crucial role in generative AI, and this course will teach you the basics of working with large language models. You will learn how to use these models to generate text and gain insights into their various applications. By the end of this course, you will have a good understanding of how large language models are used in generative AI.

Introduction to Responsible AI

Responsible AI is an essential aspect of generative AI. This course will focus on the ethical and responsible use of generative AI technologies. You will learn about the potential risks and challenges associated with generative AI and how to address them responsibly. By completing this course, you will be equipped with the knowledge and skills to develop and implement generative AI models in an ethical manner.

Encoder-Decoder Architecture

The encoder-decoder architecture is a fundamental component of generative AI models. In this course, you will explore the intricacies of the encoder-decoder architecture and how it is applied in various generative AI tasks. You will learn about sequence-to-sequence models, which are widely used in machine translation and other generative AI applications. By the end of this course, you will have a solid understanding of the encoder-decoder architecture and its role in generative AI.

Attention Mechanism

The attention mechanism is a crucial concept in generative AI. This course will delve into the details of the attention mechanism and its significance in generative AI models. You will learn how attention mechanisms help models focus on specific parts of the input data and improve their performance. By completing this course, you will have a comprehensive understanding of attention mechanisms and their application in generative AI.

Create Image Captioning Model

Image captioning is an exciting application of generative AI. In this course, you will learn how to create an image captioning model using generative AI techniques. You will explore image processing, natural language processing, and their integration to generate Captions for images. By the end of this course, you will be able to build your own image captioning models using generative AI.

Introduction to Generative AI Studio

Generative AI Studio is a powerful tool provided by Google. In this introductory course, you will learn how to use Generative AI Studio to create and deploy generative AI models. You will explore the various features and capabilities of Generative AI Studio and gain hands-on experience through practical exercises. By completing this course, you will be able to leverage Generative AI Studio for your own generative AI projects.

FAQ {#faq}

Q: How long does it take to complete the generative AI learning path? A: The generative AI learning path can be completed in just 10 days, with approximately one hour of study time per day.

Q: Who can benefit from the generative AI learning path? A: The generative AI learning path is beneficial for students, professors, lecturers, and anyone interested in expanding their knowledge of generative AI.

Q: Can I enroll in individual courses within the learning path? A: Yes, each course within the generative AI learning path can be enrolled in separately.

Q: Are there any prerequisites for the generative AI learning path? A: No, the generative AI learning path is designed to cater to beginners and professionals alike. No prior knowledge of generative AI is required.

Q: Will I receive a certificate upon completing the generative AI learning path? A: Yes, upon completing each course within the learning path, you will receive a completion badge.