After the high demand for artificial intelligence skills in various industries, AI courses online for free are trending and most in search on the internet. I will be sharing mostly AI courses for beginners but intermediates can also attend to enhance their skills in artificial intelligence.
I came up with this important post to update you that Google has just launched 9 FREE Generative AI Courses. These are incredibly challenging Google artificial intelligence courses available for free online with certificates. So go ahead and share it with your network to help more people in need. Also you will find some google courses quiz answers links.
Read Also: How to Become a Prompt Engineer?
Google AI Courses for Free Online with Certificates
1. Introduction to Generative AI
This is an introductory microlearning course that explains what Generative AI is, how it works, and how it differs from typical machine learning methods. It also covers Google Tools, which can help you create your own Gen AI apps.
When you finish this course, you can obtain the badge shown below! Visit your profile page to see all of the badges you’ve earned. Showcase your cloud abilities to the world to advance your career!
Course Link: Introduction to Generative AI | Google Cloud Skills Boost
- Introduction to generative ai quiz answers: Click here to know more about quiz answers
- Learner Reviews & Feedback for Introduction to Generative AI by Google Cloud
2. Introduction to Large Language Models
This is an introductory micro-learning course that explains what large language models (LLM) are, what use cases they may be used for, and how prompt tuning can improve LLM performance. It also covers Google tools for creating your own Gen AI applications.
When you finish this course, you can obtain the badge shown below! Visit your profile page to see all of the badges you’ve earned. Showcase your cloud abilities to the world to advance your career!
Course Link: Introduction to Large Language Models | Google Cloud Skills Boost
Check out Introduction to large language models quiz answers:
3. Introduction to Responsible AI
This is an introductory microlearning course designed to teach what responsible AI is, why it is important, and how Google incorporates responsible AI into their products. It also introduces Google’s Seven AI Principles.
When you finish this course, you can obtain the badge shown below! Visit your profile page to see all of the badges you’ve earned. Showcase your cloud abilities to the world to advance your career!
Course Link: Introduction to Responsible AI | Google Cloud Skills Boost
Check out “Introduction to Responsible AI: Quiz” Questions & Answers
4. Introduction to Image Generation
This course covers diffusion models, a type of machine learning model that has lately demonstrated potential in the picture generation field. Diffusion models are inspired by physics, particularly thermodynamics. In recent years, diffusion models have gained popularity in both academics and industry. Diffusion models underpin several cutting-edge picture generating algorithms and tools on Google Cloud. This course will teach you the theory underlying diffusion models, as well as how to train and deploy them on Vertex AI.
When you finish this course, you can obtain the badge shown below! Visit your profile page to see all of the badges you’ve earned. Showcase your cloud abilities to the world to advance your career!
Course Link: Introduction to Image Generation | Google Cloud Skills Boost
Check out Introduction to image generation quiz answers
5. Encoder-Decoder Architecture
This course provides an overview of the encoder-decoder architecture, a powerful and widely used machine learning architecture for sequence-to-sequence tasks like machine translation, text summarization, and question answering. You’ll learn about the key components of the encoder-decoder architecture, as well as how to train and service these models. In the related lab tour, you’ll start by coding in TensorFlow a rudimentary version of the encoder-decoder architecture for poetry generation.
When you finish this course, you can obtain the badge shown below! Visit your profile page to see all of the badges you’ve earned. Showcase your cloud abilities to the world to advance your career!
Course Link: Encoder-Decoder Architecture | Google Cloud Skills Boost
6. Attention Mechanism
This course will teach you about the attention mechanism, a powerful technique that enables neural networks to focus on certain regions of an input sequence. You will learn how attention works and how to utilize it to increase performance in a range of machine learning tasks such as machine translation, text summarization, and question answering.
This course is expected to take around 45 minutes to complete.
When you finish this course, you can obtain the badge shown below! Visit your profile page to see all of the badges you’ve earned. Showcase your cloud abilities to the world to advance your career!
Course Link: Attention Mechanism | Google Cloud Skills Boost
7. Transformer Models and BERT Model
This course teaches you about the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) paradigm. You will learn about the primary components of the Transformer architecture, such as the self-attention mechanism, and how they are used to develop the BERT model. You also learn about the various tasks BERT can perform, such as text classification, question answering, and natural language inference.
This course is expected to take around 45 minutes to complete.
When you finish this course, you can obtain the badge shown below! Visit your profile page to see all of the badges you’ve earned. Showcase your cloud abilities to the world to advance your career!
Course Link: Transformer Models and BERT Model
8. Create Image Captioning Models
This course shows you how to build an image captioning model using deep learning. You will learn about the many components of an image captioning model, including the encoder and decoder, as well as how to train and evaluate your model. By the end of this course, you will be able to construct your own image captioning model and use it to generate captions for photos.
When you finish this course, you can obtain the badge shown below! Visit your profile page to see all of the badges you’ve earned. Showcase your cloud abilities to the world to advance your career!
Course Link: Create Image Captioning Models
9. Introduction to Vertex AI Studio
This course covers Vertex AI Studio, which is a platform for prototyping and tweaking generative AI models. Through immersive lessons, engaging demos, and a hands-on lab, you’ll learn about the generative AI methodology and how to use Vertex AI Studio for Gemini multimodal applications, prompt design, and model tuning. The goal is to help you realize the possibilities of these models in your applications using Vertex AI Studio.
When you finish this course, you can obtain the badge shown below! Visit your profile page to see all of the badges you’ve earned. Showcase your cloud abilities to the world to advance your career!
Course Link: Introduction to Vertex AI Studio
Don’t miss out on this incredible opportunity to learn from the best. Enroll in these free certification courses and take your skills to the next level!
Honest Reviews of Google AI Courses | Is Google AI Course Worth it?
Since every AI learners and educational counselors are recommending Google artificial intelligence (AI) crash courses to learn about understanding of artificial intelligence working model. Since google AI courses are free and many are short duration so no harm to take. But it would be better to know about google courses honest reviews and feedback from the students before going to take these courses.
Review of Google’s Machine Learning Crash Course: You can go to this medium blog article review of google machine learning crash course. Click here
Google’s Free Generative AI Course Review Pt 1: So far, I would recommend this free learning path to anyone, technical or nontechnical, who wants to learn more about generative AI. I believe the intro films are quite accessible to non-technical persons who are prepared to spend a little time learning the ideas. Some of the latter courses have laboratories and more sophisticated topics that may necessitate a more in-depth technical knowledge, but I have yet to see anything that requires a very strong Comp Sci/Machine Learning background to succeed. I intend to complete this learning path and all of the labs on another day, which I will likely discuss later this month. Source link
Is it worth doing the Machine Learning Crash Course by Google or is Andrew Ng’s Coursera course better?: You can go to Quora page and read in-depth course reviews.