Google FREE AI Courses With Completion Badges

Google FREE AI Courses With Completion Badges:-

Google is offering free AI courses with completion badges. The complete details are as follows with course links.

1)Generative AI:-

This is an introductory level microlearning course aimed at explaining what Generative AI is, how it is used, and how it differs from traditional machine learning methods.
It also covers Google Tools to help you develop your own Gen AI apps.

When you complete this course, you can earn the badge displayed here! View all the badges you have earned by visiting your profile page. Boost your cloud career by showing the world the skills you have developed!

𝐏𝐚𝐲 𝐀𝐟𝐭𝐞𝐫 𝐏𝐥𝐚𝐜𝐞𝐦𝐞𝐧𝐭 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐏𝐫𝐨𝐠𝐫𝐚𝐦- 𝐆𝐞𝐭 𝐏𝐥𝐚𝐜𝐞𝐝 𝐈𝐧 𝐓𝐨𝐩 𝐌𝐍𝐂'𝐬

Course Link:- https://www.cloudskillsboost.google/course_templates/536

2. Image Generation:-

This course introduces diffusion models, a family of machine learning models that recently showed promise in the image generation space.
Diffusion models draw inspiration from physics, specifically thermodynamics.
Within the last few years, diffusion models became popular in both research and industry.

Diffusion models underpin many state-of-the-art image generation models and tools on Google Cloud. This course introduces you to the theory behind diffusion models and how to train and deploy them on Vertex AI.

Course Link :– https://www.cloudskillsboost.google/course_templates/541

3. Responsible AI:-

This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it’s important, and how Google implements responsible AI in their products.
It also introduces Google’s 7 AI principles.

Course Link:- https://www.cloudskillsboost.google/course_templates/554

4. Large Language Model:-

This is an introductory level micro-learning course that explores what large language models (LLM) are, the use cases where they can be utilized, and how you can use prompt tuning to enhance LLM performance.
It also covers Google tools to help you develop your own Gen AI apps.

Course Link :- https://www.cloudskillsboost.google/course_templates/539

5)Transformer and BERT Model:-

This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model.
You learn about the main components of the Transformer architecture, such as the self-attention mechanism, and how it is used to build the BERT model.
You also learn about the different tasks that BERT can be used for, such as text classification, question answering, and natural language inference.

This course is estimated to take approximately 45 minutes to complete.

Course Link:- https://www.cloudskillsboost.google/course_templates/538

6) Attention Mechanism:-

This course will introduce you to the attention mechanism, a powerful technique that allows neural networks to focus on specific parts of an input sequence.
You will learn how attention works, and how it can be used to improve the performance of a variety of machine learning tasks, including machine translation, text summarization, and question answering.