Do you want to learn about Generative AI? Are you interested in using the real power of tools like Google Bard, ChatGPT, Bing Chat, etc? If yes, You’ve come to the right place! Google has recently launched 9 new free Generative AI courses.
These courses will take you on an exciting journey from the fundamentals of Large Language Models to creating and deploying generative AI solutions on the Google Cloud platform.
Why learn Generative AI and What is Generative AI?
Generative AI is a field of artificial intelligence that teaches machines to create original and realistic content, such as text, images, music, and more.
It uses machine learning models to generate new data that resembles existing patterns and styles. By understanding the underlying patterns and structures of the data, generative AI models can produce creative outputs that mimic human-like creations.
The possibilities of Generative AI are boundless. This technology has revolutionized various industries, including art, design, entertainment, and even healthcare, from generating natural language responses to creating lifelike images. By acquiring the skills to work with Generative AI, you can create your own ChatGPT or Google Bard or Midjourney.
9 Best Google Generative AI Courses
- Introduction to Generative AI
- Introduction to Large Language Models (LLMs)
- Introduction to Responsible AI
- Introduction to Image Generation
- Encoder-Decoder Architecture
- Attention Mechanism
- Transformer Models and BERT Model
- Create Image Captioning Models
- Introduction to Generative AI Studio
What You’ll Learn In This Best Generative AI Courses?
The Generative AI learning path covers a wide range of topics, ensuring you gain a solid foundation in this field. Here’s a sneak peek at what you can expect to learn:
1. Fundamentals of Large Language Models: Explore the basics of large language models, including their architecture, training methodologies, and applications in natural language processing.
2. Understanding Generative AI Techniques: Dive deeper into generative AI techniques, such as generative adversarial networks (GANs), variational autoencoders (VAEs), and transformer models, and understand how they enable creative content generation.
3. Training and Fine-tuning Models: Learn how to train and fine-tune generative AI models using large datasets, enabling them to generate high-quality outputs that align with your desired creative vision.
4. Ethical Considerations in Generative AI: Understand the ethical implications surrounding generative AI technologies and learn how to approach them responsibly, ensuring fair and unbiased outcomes.
5. Implementing Generative AI on Google Cloud: Discover how to leverage the power of Google Cloud’s AI services and infrastructure to create and deploy generative AI solutions at scale.
How to Get Started?
Getting started with the Generative AI learning path is simple. Just head over to the Google Cloud Skills Boost website, find and visit the Generative AI learning path and explore the collection of 9 best Generative AI Courses. Each Generative AI course is designed to build upon the previous one, ensuring a smooth learning journey as you delve deeper into the world of Generative AI.
That’s all. Hope you give a try to this free Generative AI courses by Google. And if you find this info valuable and helpful, Please do help us by sharing this article with your friends and social media community.
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