Explore the Latest in Artificial Intelligence: Google’s Ten New Courses Now Available
What You’ll Learn:
Introduction:
In an era driven by innovation and technology, staying updated with the latest advancements in Artificial Intelligence (AI) is essential for professionals across various industries. Recognizing this need, Google has recently unveiled ten new courses on AI, designed to empower learners with cutting-edge knowledge and skills in this rapidly evolving field.
How to Get Started:
These courses are available on Google’s online learning platform, accessible to anyone interested in expanding their knowledge of artificial intelligence. Whether you’re a seasoned professional or just starting your AI journey, these courses offer a valuable opportunity to enhance your skills and stay ahead in this dynamic field.
Conclusion:
With the launch of these ten new courses on artificial intelligence, Google continues to demonstrate its commitment to fostering education and innovation in AI. Whether you’re interested in machine learning, natural language processing, computer vision, or AI ethics, there’s something for everyone in this comprehensive lineup of courses. Take the first step towards mastering AI by enrolling in these courses today and unlock new opportunities in the exciting world of artificial intelligence.
1.Introduction to Large Language Models: Learn about the use cases and how to enhance the performance of large language models.
2.Introduction to Generative AI: Discover the differences between Generative AI and traditional machine learning methods.
3.Generative AI Explorer – Vertex AI prompt design, best practices, and how it can be used for ideation, text classification, text extraction, text summarization, and more.
4.Introduction to Responsible AI: Learn about the importance of Responsible AI and how Google implements it in its products.
5.Encoder-Decoder Architecture: Learn about the encoder-decoder architecture, a critical component of machine learning for sequence-to-sequence tasks.
6.Introduction to Image Generation: Discover diffusion models, a promising family of machine learning models in the image generation space.
7.Transformer Models and BERT Model: Get a comprehensive introduction to the Transformer architecture and the Bidirectional Encoder Representations from the Transformers (BERT) model.
8.Attention Mechanism: Learn about the attention mechanism, which allows neural networks to focus on specific parts of an input sequence.
9.Overview of Generative AI Studio:
This course explains how to prototype and customize generative AI models using Vertex AI’s Generative AI Studio.
10.Develop Models for Image Captioning:
Discover how to use deep learning methods to develop a model for captioning images.
