Target Audience

Who should attend?
Anyone looking to understand the efficiency challenges faced by developers and how Generative AI can help make their workflows faster, smarter, and more efficient

COURSE AGENDA

Developer Efficiency on Google Cloud

  • Developer Workflows and Efficiency Challenges: Explore the common workflow challenges developers face and how they impact productivity.
  • Developer Efficiency on Google Cloud: Learn how Google Cloud improves developer efficiency with cloud-native tools and services.
  • AI-Powered Developer Tools: Discover how AI tools on Google Cloud enhance developer workflows, from code generation to deployment.
  • Developer Workflows with LLMs: Learn how large language models (LLMs) integrate into developer workflows to streamline coding tasks.

Using Gemini AI Throughout the Development Lifecycle

  • Introduction to Gemini AI: Get introduced to Gemini AI and its capabilities for developers.
  • Cloud Code and Gemini AI: Learn how to use Cloud Code in conjunction with Gemini AI to enhance the development experience.
  • Generating and Completing Code: Use Gemini AI to generate and complete code snippets, reducing manual effort and speeding up development.
  • Understanding Logs with Gemini AI: Learn how to analyze logs with Gemini AI to quickly identify issues and optimize performance.

Prompt Design for Gemini AI

  • Why Prompt Design is Important: Understand the significance of prompt design in ensuring efficient interactions with Gemini AI.
  • General Prompt Design Tips: Learn best practices for crafting effective prompts when working with AI models.
  • Prompt Design for Gemini AI: Explore specific prompt design strategies for working with Gemini AI, improving model output.

Leveraging Codey in Developer Workflows

  • Vertex AI PaLM API: Learn about the Vertex AI PaLM API and how it can be used to drive code generation and AI interactions.
  • Code Generation and Completion with Codey: Leverage Codey for automatic code generation and completion, saving time in your

development process.

  • Vertex AI Studio: Discover Vertex AI Studio for model building and fine-tuning.
  • Using the Codey API: Integrate the Codey API into your applications to automate and streamline development tasks.
  • Fine-tuning Codey: Learn how to fine-tune Codey for specific use cases and enhance its performance for your project needs.

Discovering Model APIs Using Vertex AI Model Garden

  • Vertex AI Model Garden: Explore Vertex AI Model Garden, a powerful tool for discovering and deploying machine learning models.
  • Model Types and Solutions: Understand the types of models available and the solutions they offer for different use cases.
  • Model Registry and Deployment: Learn how to use the Model Registry to organize and deploy models for production.
  • Fine-tuning Models: Discover techniques for fine-tuning models within Vertex AI to tailor them for specific applications and improve performance.

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