Free Generative AI Courses by Google (2026): Learn AI Skills with Free Certificates
Generative AI is no longer a future concept. It is already shaping how we work, learn, and create. Tools like ChatGPT, Gemini, and AI-powered design platforms are being used by students, developers, marketers, and businesses every day.
In 2026, the demand for AI-skilled professionals is growing faster than ever. According to recent industry reports, AI-related jobs are expected to grow by over 35% in the next few years. Many learners want to enter this field but feel confused about where to start.
This is where Free Generative AI Courses by Google become extremely valuable. Google offers beginner-friendly, job-focused AI courses that are free to learn and easy to follow. Many learners find this helpful because the content is practical and created by one of the world’s leading tech companies.
You might wonder, can free courses really help build AI skills? The answer is yes. Many of these courses are structured well, and Google’s courses are exactly that.
In this blog post, I shared the top 5 Free Generative AI Courses by Google, which are useful and valuable to the learners.
Who Can Benefit from Free Generative AI Courses by Google?
These courses are designed for a wide audience. You don’t need to be a programmer or data scientist to get started.
These courses are ideal for:
- College and university students
- Beginners with no AI background
- Job-seekers looking to enter AI-related roles
- Working professionals wanting to upskill
- Content creators, marketers, and designers
- Entrepreneurs and startup founders
Many learners start these courses simply out of curiosity and later use the skills in real projects or jobs.
Top Free Generative AI Courses by Google
Below are some of the best free generative AI courses by Google that you can start today.
1. Introduction to Generative AI
Platform/Provider: Google Cloud Skills Boost
Duration: Around 45–60 minutes
Cost: Free
Certificate: Yes (Digital badge)
What You’ll Learn:
- What generative AI is
- How generative AI models work
- Real-world applications of generative AI
Eligibility / Prerequisites:
- No prior knowledge required
Career Opportunities:
- AI beginner roles
- Tech support and AI assistant roles
How to Enroll: Introduction to Generative AI
Additional Notes:
This is one of the best starting points if you are completely new.
2. Introduction to Large Language Models (LLMs)
Platform/Provider: Google Cloud Skills Boost
Duration: 1–2 hours
Cost: Free
Certificate: Yes
What You’ll Learn:
- What LLMs are
- How models like Gemini and ChatGPT work
- Common use cases of LLMs
Eligibility / Prerequisites:
- Basic understanding of AI concepts (helpful but not required)
Career Opportunities:
- AI content specialist
- Prompt engineering roles
How to Enroll: Introduction to Large Language Models
3. Introduction to Responsible AI
Platform/Provider: Google Cloud Skills Boost
Duration: 1 hour
Cost: Free
Certificate: Yes
What You’ll Learn:
- Ethical use of AI
- Bias and fairness in AI systems
- Safe and responsible AI development
Eligibility / Prerequisites:
- Open to all learners
Career Opportunities:
- AI policy roles
- Ethical AI consultant (entry-level exposure)
Enrollment link: Introduction to Responsible AI
4. Generative AI Learning Path (Beginner Level)
Platform/Provider: Google Cloud Skills Boost
Duration: Self-paced (5–6 hours total)
Cost: Free
Certificate: Yes (after completion)
ALSO READ: prompt engineering for chatgpt course
What You’ll Learn:
- Generative AI basics
- Text and image generation concepts
- Google AI tools overview
Eligibility / Prerequisites:
- No coding experience required
Career Opportunities:
- Entry-level AI roles
- AI-enabled marketing and content jobs
How to enroll: Generative AI Learning Path
5. Transformer and BERT Models
Platform/Provider: Google Cloud Skills Boost
Duration/Time Commitment: 30–45 minutes
Cost: Free
Certificate Availability: Yes (Digital badge)
What You’ll Learn:
- Fundamentals of Transformer-based AI models
- How the self-attention mechanism works
- Core architecture of the Transformer model
- How the BERT model is built and used in NLP applications
- Real-world use cases of Transformers and BERT
Job/Career Opportunities:
- NLP Engineer (entry-level exposure)
- AI/ML Engineer (foundation skills)
- Data Scientist (NLP-focused roles)
- AI Research Assistant
How to Start/Enroll:
Additional Notes: Transformer and BERT Models
- The course includes 2 videos, 1 reading link, and 1 quiz
- Designed for learners who want to go beyond basics
- Completion earns a Google digital badge, useful for LinkedIn and resumes
6. Attention Mechanism
Duration: ~30 minutes
Level: Beginner
Format: 1 video, 1 quiz
Cost: Free
Certificate: Yes (Digital badge)
Overview:
This course introduces the attention mechanism in AI and explains how it helps models focus on important data to improve accuracy and performance. It builds a strong foundation for advanced AI topics like Transformers.
Benefits:
Learn core attention concepts essential for modern AI models and earn a Google badge.
How to enroll: Attention Mechanism
How to Start or Enroll in Google’s Free AI Courses
Getting started is simple.
Steps to follow:
- Visit Google Cloud Skills Boost platform
- Create a free Google account
- Search for generative AI courses
- Enroll and start learning
- Complete quizzes to earn certificates
Many learners complete these courses in one or two days. You also get a free certifications after completing these courses.
