Google Gemini for Developers (2024)
1h 16mIntermediate2024-02-16
Authors

Lynn Langit
Cloud Architect
Course details
Google Gemini is a new family of multimodal large language models that works seamlessly across image, video, audio, and code. In this course, instructor Lynn Langit shows you how to get started using the design patterns, tools, and features of Google Gemini following the best practices for building LLM-based applications.
Explore the capabilities of Google Gemini starting with Google AI Studio, before diving into the development, testing, and deployment of even larger, more complex models. Along the way, Lynn shows you how to use Gemini notebooks in GCP Vertex AI Studio and Gemini applications on GCP. Upon completing this course, you’ll be ready to take your career to the next level as an ML-savvy DevOps professional.
Explore the capabilities of Google Gemini starting with Google AI Studio, before diving into the development, testing, and deployment of even larger, more complex models. Along the way, Lynn shows you how to use Gemini notebooks in GCP Vertex AI Studio and Gemini applications on GCP. Upon completing this course, you’ll be ready to take your career to the next level as an ML-savvy DevOps professional.
Skills covered
GeminiGoogle Cloud PlatformIntroduction toAI Productivity ToolsGenerative AIGoogleArtificial Intelligence (AI)Business Software and Tools
Concepts
Introduction
- What is Google Gemini
- What you should know
- About using cloud services
Hello Gemini
- Review Google Gemini
- Use Google AI Studio
- Use Colab notebooks
- Use Project IDX
Gemini Prompts in Google AI Studio
- Understand Google AI Studio
- Design and test language model prompts
- Test prompts with model generative output
- Design and test multimodel prompts
Gemini Notebooks in GCP Vertex AI Studio
- Review Gemini in GCP Vertex AI
- Use Vertex AI Jupyter Notebooks
- Review safety ratings notebook
- Review function calling notebook
- Use RAG pattern, part one
- Use RAG pattern, part two
Gemini Applications on GCP
- Set up education application
- Set up an online prediction application for retail
- Use Vertex AI Model Garden
- Looking forward - Gemini Ultra
Conclusion
- Next steps
Related courses
- Google Gemini for Developers (2024)
- Advanced Gemini for Developers (2024)
- Building with Google Gemini Advanced and Ultra
- Getting Started with the Google Gemini API
- Introduction to Multimodal Prompting for Generative AI
- Build an Image Captioning Tool for Visually Impaired Users with Gemini
- Google Gemini for Developers
- Advanced Gemini for Developers
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