To help learners understand all about Artificial Intelligence, our team put together a list of Best & Free AI Courses from Google.
Key Takeaways
- Learn all about AI at your own ease and pace.
- A chance to learn from industry experts via tech giant.
- Certificates are available to validate your skills.
| # | Course Name | University/Organization | Duration |
| 1. | Introduction to Generative AI | Google Cloud | 01 Hour |
| 2. | Google AI Essentials | 10 Hour | |
| 3. | Create Image Captioning Models | Google Cloud | 01 Hour |
| 4. | Introduction to Large Language Models | Google Cloud | 01 Hour |
| 5. | Natural Language Processing on Google Cloud | Google Cloud | 13 Hours |
| 6. | Introduction to Responsible AI | Google Cloud | 01 Hours |
| 7. | ML Pipelines on Google Cloud | Google Cloud | 10 Hour |
In order to help our readers in taking a knowledgeable learning decision, TakeThisCourse.net has introduced a metric to measure the effectiveness of an online course. Learn more about how we measure an online course effectiveness.
Certain criterion was followed while selecting these courses. Factors like course content comprehensiveness, learner feedback, instructor expertise in the field, and availability of certificates were considered. Following such an approach made sure our recommendations were authoritative.
Best + Free Google AI Courses & Classes….
Introduction to Generative AI
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- via Google Cloud
- 01 Hour of effort required!
- Course Level: Introductory
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| Online Course Effectiveness Score | |||
| Content | Engagement | Practice | Career Benefit |
| Excellent ★★★★★ |
Excellent ★★★★★ |
Good ★★★★☆ |
Good ★★★★☆ |
In this course, you will understand in detail what generative AI is. The instructor will explain how the generative AI works.
- The reason why we chose this course is its focus on explaining the generative AI model types. You will also understand the different generative AI applications in detail.
- This course is for those who wish to understand the fundamentals of generative AI.
I found this course to be extremely informative. It offers an excellent introduction to Generative AI. The instructor explained well how it is used and how it is different from traditional machine learning methods. Happy to have found this course. (Yvette R)
Google AI Essentials
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- via Google
- 10 Hours of effort required!
- Course Level: Introductory
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In this course, you will be taught how to use generative AI tools for multiple purposes. This includes developing ideas and content, making informed decisions, and speeding up all your daily work tasks.
- The reason why we chose this course is its focus on explaining how to write clear and specific prompts to help you get the output you want. You will learn to apply prompting techniques to help summarize, create tag lines, and do so much more.
- This course is for those who wish to understand how to use AI responsibly by learning to identify AI’s potential biases and avoid any type of harm.
Create Image Captioning Models
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- via Google Cloud
- 01 Hour of effort required
- Course Type: Advanced
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Do you want to understand the different components of an image captioning model? If yes then this course is for you.
- The best thing about this course is its focus on explaining how to train and evaluate an image captioning model. You will learn to create your own image captioning models.
- This course is for those who wish to learn to use captioning models to generate captions for images.
This course offers unique content explained in a concise manner. The lecture videos were specific and explained all about how to use the encoder-decoder model. I will recommend this course to all those interested in image captioning. (Man D)
Continue with more Free Google Courses…
Introduction to Large Language Models
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- via Google Cloud
- 01 Hour of effort required.
- Course Level: Introductory
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| Online Course Effectiveness Score | |||
| Content | Engagement | Practice | Career Benefit |
| Excellent ★★★★★ |
Excellent ★★★★★ |
Good ★★★★☆ |
Fair ★★★☆☆ |
A very informative course that explains all about the Large Language Models (LLMs) in detail.
- The reason why we chose this course is its focus on explaining all about prompt tuning. You will understand the different LLM use cases as well.
- This course is for those who wish to understand the Google’s Gen AI development tools.
This course offers a very lucid introduction to Large Language Models. The best part of the course was the optional reading section. It shines with the practical implementation of LLMs using vertex AI and Langchain. This course is very important for all those who are ready to set foot in the fascinating world of Generative AI. (Avik B)
Natural Language Processing on Google Cloud
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- via Google Cloud
- 13 Hours of effort required
- Course Level: Advanced
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| Online Course Effectiveness Score | |||
| Content | Engagement | Practice | Career Benefit |
| Excellent ★★★★★ |
Excellent ★★★★★ |
Good ★★★★☆ |
Fair ★★★☆☆ |
In this course, you will understand how to recognize the NLP products and the solutions on Google Cloud. You will be taught how to create an end-to-end NLP workflow by using AutoML with Vertex AI.
- The best thing about this course is its focus on explaining how to build different NLP models including DNN, RNN, LSTM, and GRU by using TensorFlow. You will also learn to recognize advanced NLP models including BERT and transformers.
- This course is for those who wish to understand all about transfer learning and apply pre-trained models for solving NLP problems.
This is an excellent course that offers great explanations about the sequence models. The examples helped a lot and led to a smooth learning experience. I thoroughly enjoyed learning from the course. The tips and best practices recommended by Google were also quite helpful. I am now looking forward to take the next course from the specialization. (Carlos V)
Introduction to Responsible AI
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- via Google
- 01 Hour of effort required
- Course Level: Beginner
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| Online Course Effectiveness Score | |||
| Content | Engagement | Practice | Career Benefit |
| Excellent ★★★★★ |
Excellent ★★★★★ |
Good ★★★★☆ |
Good ★★★★☆ |
Do you want to understand why Google has put different AI principles in place? In this course, you will learn this and get a detailed introduction to Responsible AI.
- The best thing about this course is its focus on explaining how to identify the need for a responsible AI practice within an organization.
- This course is for those who wish to understand how to recognize the fact that organizations can design AI to fit their own business needs and values.
Even though the course is short, it offers valuable content and is informative and easy to understand. This course is a good starting point for learning all about the AI ethics. (MT)
ML Pipelines on Google Cloud
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- via Google Cloud
- 10 Hours of effort required
- Course Level: Advanced
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| Online Course Effectiveness Score | |||
| Content | Engagement | Practice | Career Benefit |
| Good ★★★★☆ |
Good ★★★★☆ |
Fair ★★★☆☆ |
Fair ★★★☆☆ |
In this course, you will learn everything there is about the TensorFlow Extended (TFX) which is a Google’s production machine learning platform.
- The reason why we chose this course is its focus on explaining all about the pipeline components and pipeline orchestration with TFX.
- This course is for those who wish to understand how to automate pipeline through continuous integration and continuous deployment.
A great course that explains how to apply the MLOps principles in large scale machine learning projects. The course is so helpful that I will be referring to it in the near future to bring its concepts to my customer ML platforms. (MH)