מתווה קורס מפורט
Module 1 - Developer Efficiency on Google Cloud
Topics:
- Developer workflows and efficiency challenges
- Developer efficiency on Google Cloud
- AI-powered developer tools on Google Cloud
- Developer workflows with LLMs
Objectives:
- Describe efficiency challenges that developers face.
- Understand how AI-powered tools on Google Cloud can improve developer efficiency.
- Describe developer workflows when using large language models (LLMs).
Module 2 - Using Gemini Throughout the Development Lifecycle
Topics:
- Introduction to Gemini for Google Cloud
- Cloud Code and Gemini Code Assist
- Generating and completing code by using Gemini Code Assist
- Understanding logs using Gemini
Objectives:
- Use Gemini Code in Cloud Code to more efficiently write code for your applications.
- Use Gemini in Google Cloud to quickly summarize your application logs.
Activities:
- Lab: Using Gemini Throughout the Software Development Lifecycle
Module 3 -Prompt Design for Gemini
Topics:
- Why prompt design is important
- General prompt design tips
- Prompt design for Duet AI
Objectives:
- Explain the fundamentals of prompt design when using Gemini Code Assist.
Activities:
- Lab: Prompt Design for Gemini Code Assist
Module 4 - Leveraging Codey in Developer Workflows
Topics:
- Vertex AI Gemini and PaLM API
- Code generation and completion with Codey
- Vertex AI Studio
- Using the Codey API in your code
- Fine-tuning Codey for specific use cases
Objectives:
- Use the Vertex AI Gemini API, PaLM API and Codey for code generation
- Integrate Codey into applications by using the API
- Fine-tune Codey for specific use cases
Activities:
- Lab: Leveraging Codey in Your Applications
Module 5 - Discovering Model APIs using Vertex AI Model Garden
Topics:
- Vertex AI Model Garden
- Models types and solutions
- Model Registry and model deployment
- Fine-tuning models
Objectives:
- Understand the role of Vertex AI Model Garden.
- Explore models available in Vertex AI Model Garden.
Activities:
- Lab: Exploring Vertex AI Model Garden