Introduction to Generative AI (Free Course)

 

What You’ll Learn

Upon completing the module, you’ll be able to:

• Define and locate generative AI within the broader AI/ML spectrum
• Distinguish it from supervised/unsupervised models
• Grasp key concepts like transformers, prompting, and hallucination
• Explore major GenAI model types (LLMs, code generators, diffusion models)
• Discover how to build simple GenAI apps on Google Cloud 

How You’ll Learn

• Videos & readings to build conceptual understanding
• Hands‑on quizzes to test grip on new ideas
• Interactive assignments, totaling just 8 minutes, for instant feedback 
• Practical toolkit for using Google’s AI services

Course Benefits

• Time-efficient – Just about 2 hours total.
• Career-ready – Earn a shareable certificate and build your resume.
• Google Cloud exposure – See how industrial strength models can be harnessed via the cloud.
• Launchpad for specialization – Get a head start on the complete learning path including LLMs, Responsible AI, and more 

Who Should Dive to the Next Level

Learners seeking a deeper technical experience—like LLM internals, model fine‑tuning, or Python-based ML—should explore related advanced Coursera offerings:

• Generative AI with LLMs (AWS-led, intermediate, deeper into transformers and deployment) 
• Microsoft’s Generative AI for Data Analysis, or domain-specific courses like those for code or marketing

Join Certification - Introduction to Generative AI

Free Courses : Introduction to Generative AI