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!
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.
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!
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.
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!
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.
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!
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.
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!
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.
This course is estimated to take approximately 45 minutes to complete.
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!
Course Link:– https://www.cloudskillsboost.google/course_templates/537
7)Generative AI Studio:-
- This course introduces Vertex AI Studio, a tool for prototyping and customizing generative AI models. Through immersive lessons, engaging demos, and a hands-on lab, you’ll explore the generative AI workflow and learn how to leverage Vertex AI Studio for Gemini multimodal applications, prompt design, and model tuning.
- The aim is to enable you to unlock the potentials of these models in your projects with Vertex AI Studio.
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!
Course Link :- https://www.cloudskillsboost.google/course_templates/552
8)Image Recognition:-
- This course teaches you how to create an image captioning model by using deep learning. You learn about the different components of an image captioning model, such as the encoder and decoder, and how to train and evaluate your model.
- By the end of this course, you will be able to create your own image captioning models and use them to generate captions for images
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!
