Are you eager to build a career in Artificial Intelligence (AI) but don’t know where to start? Google has launched a series of FREE AI courses with certificates that require no fees, no prerequisites, and offer certificates (digital badges) upon completion.
In today’s rapidly evolving tech world, generative AI has emerged as a game-changing force for transforming industries from software development to creative design. Whether you’re a curious beginner or a seasoned AI professional, mastering generative AI is now essential to stay competitive in the fields of artificial intelligence and machine learning.
Google has launched a series of free and beginner-friendly to advanced AI courses designed for students as well as AI enthusiasts to initiate their career in this AI and machine learning. These courses don’t just teach theory—they offer hands-on labs, real-world applications that empower you to build and deploy your own AI-powered solutions confidently.
You’ll also gain experience with various advanced tools like Google’s Vertex AI Studio, explore prompt engineering, and work on practical projects such as image captioning models.
Whether you are starting your career in AI or want to sharpen your knowledge in the field of machine learning and Artificial Intelligence, these courses will be helpful for you. Now is the time to unlock your potential and shape the future with the power of generative AI.
Why Learn AI from Google?
There are various reasons to choose this AI course initiative by Google, and the best reason is, it’s Google. Google is a tech giant at the forefront of global innovation.
When Google offers free, expertly designed AI courses, it’s not just another learning opportunity—it’s a chance to gain knowledge and practical skills from the very leaders who are shaping the future of technology. Most important part is that anyone around the world interested to learn AI can participate in this course. These AI courses are completely free and learners just need a Google account to access these innovative courses.
These are learner-friendly and created with basic to advanced step-by-step instructions. Students will get shareable digital badges that strengthen their resume and LinkedIn profile.
Key Highlights
| Course Type | Microlearning (short, focused courses) |
| Cost | Completely FREE |
| Skill Level | Beginner to Advanced |
| Certificate | Yes, via digital badge |
| Tools Used | TensorFlow, Google Cloud, Vertex AI |
| Hands-On Labs | Included in most courses |
| Accessibility | 100% Online, Learn Anytime Anywhere |
Course List and Details
Google has released total of 9 Free AI courses with certificates based on the learner’s interest. These are the list:
Introduction to Generative AI
Google’s “Introduction to Generative AI” is the perfect starting point for anyone curious about how AI can be used to create new content such as text, images, and more. This course is designed as a microlearning course. It breaks down the complex world of generative AI into easy-to-understand concepts with practical insights and interactive lessons.
Eligibility
- Open to all learners worldwide
- Ideal for:
- Beginners with no prior experience in AI or coding
- Students, professionals, and enthusiasts interested in AI and technology
- Prerequisites: None
- Course Duration: Approx. 45 minutes to 1 hour
- 🔗 Enroll Now: Introduction to Generative AI – Enroll Here
Also read: 2-Hour Online Courses with Certificates for Students
Introduction to Large Language Models (LLMs)
Google’s “Introduction to Large Language Models” microlearning course will give you a solid foundation in understanding these powerful AI models and how to use them effectively.
Eligibility
- Open to anyone globally interested in learning AI
- Best suited for:
- Students
- Developers
- Tech enthusiasts
- Professionals in marketing, data science, or content creation
- Prerequisites: No prerequisites required
- Course Duration: Approximately 45 minutes to 1 hour
- Certificate / Badge: Receive a digital badge upon successful completion
- 🔗 Enroll Now: Introduction to Large Language Models – Enroll Here
Introduction to Responsible AI
Google’s “Introduction to Responsible AI” is a beginner-friendly microlearning course that emphasizes the ethical use of artificial intelligence in real-world scenarios. This course is ideal for anyone who wants to ensure that AI technologies are used in a fair, transparent, and accountable manner.
This course also includes Google’s 7 core principles of AI technologies, which are used to deploy Google’s AI technologies in a way that prioritizes fairness, transparency, and privacy. After completion of this course you will get the valuable knowledge of creating powerful AI technologies responsibly that are essential in today’s savvy world.
Eligibility
- Open to everyone worldwide – no restrictions
- Ideal for:
- Students and professionals entering the AI/tech industry
- Product managers, data scientists, and developers
- Anyone interested in AI policy, ethics, and governance
- Prerequisites: No prior experience or technical background required
- Course Duration: Approx. 45 minutes to 1 hour
- Enroll Now: Introduction to Responsible AI – Enroll Here
Introduction to Image Generation
Google’s “Introduction to Image Generation” is a beginner-friendly course that dives into the world of diffusion models, which are behind many of today’s most advanced image-generation tools. Using this course you will come to know how the diffusion model works in today’s image generation AI tools and how to deploy them using the Google Cloud’s Vertex AI platform.
If you’re curious about how AI can create realistic, artistic, or functional images from scratch, this course is the perfect place to begin.
Eligibility
- Open to learners of all backgrounds
- Great for:
- AI enthusiasts
- Developers interested in computer vision
- Digital artists and content creators
- Students exploring generative AI
- Prerequisites: No coding or AI background required
- Course Duration: 30 Minutes
- Enroll Now: Introduction to Image Generation – Enroll Here
Encoder-Decoder Architecture
The Encoder-Decoder architecture is one of the most powerful and widely used frameworks in modern machine learning, particularly for sequence-to-sequence tasks like machine translation, text summarization, and question answering. Google’s “Encoder-Decoder Architecture” course gives you a clear and practical introduction to how this architecture works—and how to apply it using real AI tools.
Whether you’re an aspiring AI developer or a machine learning enthusiast, this course will guide you through building your very own Encoder-Decoder model with hands-on coding experience.
Eligibility
- Open to global learners of all skill levels
- Best for:
- Data science and machine learning enthusiasts
- Students studying AI or NLP
- Prerequisites: No advanced experience required
- Basic familiarity with Python or machine learning concepts is helpful but not necessary
- Course Duration: 30 Minutes
- Enroll Now: Encoder-Decoder Architecture – Enroll Here
Attention Mechanism
The Attention Mechanism is a breakthrough concept in artificial intelligence that allows models to “pay attention” to the most relevant parts of input data. It’s the core technology behind today’s most powerful models like Transformers, BERT, and GPT.
Google’s “Attention Mechanism” microlearning course gives you a quick yet comprehensive introduction to this game-changing AI technique.
Whether you’re building NLP models or exploring deep learning, mastering attention is a key step in your journey.
Eligibility
- Open to learners worldwide
- Suitable for:
- Students and AI beginners
- Developers and data scientists
- Prerequisites: No prerequisites required
- Course Duration: 30 minutes
- Enroll Now: Attention Mechanism – Enroll Here
Create Image Captioning Models
Google’s “Create Image Captioning Models” course is a hands-on guide to building powerful AI systems that can understand and describe images in natural language. This is a critical capability in fields such as accessibility, media automation, smart photo management, and more.
This course walks you through the core components of an image captioning system using deep learning, specifically the encoder-decoder architecture, and gives you the practical experience you need to build your own.
Eligibility
- Open to anyone with an interest in AI or machine learning
- Ideal for:
- AI and computer vision enthusiasts
- Developers and students pursuing deep learning
- Prerequisites: No strict prerequisites, but helpful to have python knowledge
- Course Duration:
- Enroll Now: Create Image Captioning Models – Enroll Here
Frequently asked questions
Are Google’s AI courses really free?
Yes, all the AI courses mentioned in this article are 100% free. You don’t need to pay any enrollment fees or subscribe to access the content.
Do I need a computer science background to take these courses?
No. These courses are designed for all levels. While a basic understanding of computers and an interest in AI helps you to learn but no technical prerequisites are required.
Do I get a certificate after completing a course?
Yes, upon successful completion of each course of this free AI courses with certificates, you will receive a Google Cloud skill badge.