Google Cloud: Vertex AI & Generative AI for Developers Path

📌 What is this course?

Hosted on Google Cloud Skills Boost, the Vertex AI & Generative AI for Developers Learning Path is Google Cloud’s premier production track for engineers building scalable enterprise AI applications.

Rather than remaining in passive theory, students access free Google Cloud sandbox environments to directly configure production tools inside Vertex AI Studio. You will connect frontier Gemini 1.5 Pro and Flash models via Python SDK, design multimodal prompts, integrate JSON Schema function calling, and construct production-ready Retrieval-Augmented Generation (RAG) pipelines backed by Vertex AI Vector Search.

Completing all hands-on labs and passing the timed assessment lab awards an official, verifiable Google Cloud digital skill badge directly shareable on LinkedIn and Credly.

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🎯 Who is this for?

• Software developers architecting production generative AI applications on Google Cloud infrastructure.
• Machine learning engineers wanting hands-on mastery of enterprise RAG and vector databases.
• Cloud professionals and students looking to bolster their resumes with an official Google Cloud credential.

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📚 Core Syllabus

1. Introduction to Vertex AI Studio: Zero-shot and few-shot prompt engineering on Gemini via console UI
2. Python SDK Integration: Programmatic model invocation for text, image, audio, and video multimodal payloads
3. Structured Outputs & Function Calling: Enforcing JSON response schemas and connecting external APIs
4. Vertex AI Vector Search & RAG: Transforming internal documents into embeddings and creating low-latency search indices
5. Responsible AI & Safety Filters: Customizing threshold parameters for hate speech, harassment, and dangerous content
6. Challenge Lab & Credentialing: Complete a live timed capstone project to earn the official Google Cloud Skill Badge