Google Cloud - Introduction to Generative AI Learning Path

📌 What is this learning path?

Google Cloud’s official curriculum introducing foundational concepts of Generative AI, Large Language Models, Attention mechanisms, and Transformer architectures.

Upon completing the core modules and passing the assessment quizzes, learners earn an official Google Cloud Skill Badge that can be added to LinkedIn and resumes.

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🎯 Who is this for?

• Non-engineers, product managers, and developers seeking a crystal-clear understanding of generative AI.
• Professionals looking for credible, verifiable certifications from Google.
• Engineers planning to build on Google Cloud’s Vertex AI ecosystem.

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📚 Pathway Curriculum

1. Introduction to Generative AI: Defining GenAI and how it differs from traditional ML.
2. Introduction to Large Language Models (LLMs): How foundation models are trained and fine-tuned.
3. Introduction to Responsible AI: Ethical frameworks, bias mitigation, and Google’s 7 AI Principles.
4. Generative AI Fundamentals Assessment: Cumulative quiz awarding the official digital skill badge.
5. Introduction to Image Generation: Exploring Diffusion models and generative image synthesis.
6. Encoder-Decoder Architecture & Attention: Demystifying how transformers process sequential information.

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💡 Learning Tips

• Unlimited Retakes: Quizzes require a 75% score to earn the badge, but multiple retakes are allowed if you miss a question.