Advanced: Generative AI Labs with Gemini on Google Cloud
Where Innovation Meets Execution: Build Smarter AI with Gemini.
- Master advanced Gemini capabilities
- Optimize generative AI workflows
- Implement multimodal RAG for context-aware AI solutions
- Design controlled generation pipelines to fine-tune model outputs
- Align with industry
- Build a base for specialized roles in AI development or cloud engineering
- Prepare for more advanced Google Cloud certifications in AI
What you will learn
"Advanced: Generative AI Labs with Gemini on Google Cloud" is an intensive, hands-on program tailored for experienced AI practitioners and developers seeking mastery of cutting-edge generative AI techniques. Through 10 advanced labs, this course dives deep into Gemini's advanced functionalities on Google Cloud, including model optimization, code generation, synthetic data creation, and multimodal retrieval-augmented generation (RAG). Participants will explore complex architectures, experiment with Vertex AI’s Gemini API, and implement state-of-the-art methods like controlled generation and context caching. Completing the final challenge lab awards a Google Cloud Skill Badge, validating expertise in building sophisticated AI applications with Gemini.
Google's Advanced: Generative AI Labs with Gemini on Google Cloud course Outline
Learn the Advanced: Generative AI Labs with Gemini on Google Cloud
Ready to push the boundaries of generative AI? Advanced: Generative AI Labs with Gemini on Google Cloud offers 9 immersive labs and 1 course to master code generation, RAG, synthetic data, and more. Designed for seasoned developers, this course includes hands-on experiments with Vertex AI's Gemini API and culminates in a Google Cloud Skill Badge. Transform theoretical knowledge into production-ready solutions—click the link to start building tomorrow's AI applications today!
Start your journey today:
Course Structure Includes:
Lab 1: Intro to Gemini 2.0 Flash (45 mins) – API/SDK basics.
Lab 2: Generating & Executing Python Code (30 mins) – Code automation with Gemini.
Lab 3: Grounding Gemini Models (1.5 hrs) – Generate content from custom data.
Lab 4: Controlled Generation (1.5 hrs) – Fine-tune model outputs.
Lab 5: Synthetic Data Generation (1.5 hrs) – Create data using Snowfakery.
Lab 6: Long Context Window (1.5 hrs) – Multimodal use cases.
Lab 7: Context Caching (1 hr) – Optimize model interactions.
Lab 8: Gemini API with cURL (45 mins) – Command-line integration.
Lab 9: Multimodal RAG (1 hr) – Context-aware AI applications.
Course 10: Enhance Gemini Capabilities (7.25 hrs) – Skill badge challenge (code, grounding, synthetic data).
Training Options
Self Paced Learning
- Lifelong access to high-quality content
- Curated by industry experts
- Customized learning progress
- 24/7 learner assistance and support
- Follow the latest technology trends
Exam Dump
- 100% Real Exam Practice Tests
- 100% Verified Exam Questions & Answers
- 100% Guarantee Passing Rate
- Average 7 Days to Practice & Pass
Description
Elevate your AI expertise with 9 advanced labs and 1 course on Gemini's Vertex AI integration. Learn code generation, RAG, synthetic data, and earn a Google Cloud Skill Badge.
Pre-requisites
Familiar with basic Python programming and general API concepts.
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Generative AI in Real World Workplaces PDF Free Download | SPOTO
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