Google Cloud: Introduction to Generative AI (Official Certification Path)

📌 What is this course?

Hosted on Google Cloud Skills Boost, the Introduction to Generative AI is Google Cloud’s official foundational curriculum exploring the fundamental concepts and mechanics of modern generative AI.

The course breaks down how generative AI differs from traditional supervised machine learning, how Large Language Models (LLMs) predict tokens using transformer architectures, and when to utilize Prompt Engineering versus Retrieval-Augmented Generation (RAG) versus Model Fine-tuning.

Upon passing the end-of-course assessment, students earn an official Google Cloud digital skill badge verifiable on LinkedIn and Credly.

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🎯 Who is this for?

• Anyone seeking a clear, high-level, authoritative overview of generative AI principles from Google.
• Students and professionals wanting to boost their resume and LinkedIn profile with an official Google Cloud credential.
• Product managers, business leaders, and developers evaluating enterprise generative AI capabilities.

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📚 Core Syllabus

1. Introduction to Generative AI: Differences between discriminative ML and generative deep models
2. Architecture of Large Language Models: Attention mechanisms, pretraining, and token probability distributions
3. Enterprise Integration: Deciding between Prompt Tuning, RAG architectures, and Fine-Tuning
4. Responsible AI Principles: Mitigating hallucinations, bias reduction, and model safety controls
5. Assessment & Credentialing: Final evaluation quiz for official Google Cloud digital skill badge