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For developers, generative AI is a powerful tool for making coding more efficient and using APIs - such as the PaLM API - within their applications.
During this one-day session, you’ll be introduced to how generative AI can be used to make developers more efficient at writing code and implementing new features into applications.
Throughout the course, you’ll learn principles of prompt design and how to explore the different models available on Google Cloud by using Vertex AI Model Garden.
This Introduction to Developer Efficiency on Google Cloud course is available as a private session and can be delivered via Virtual Classroom, at our training centre in The Shard, London, or at a location of your choice in the UK.
Course overview
Who should attend:
This course is ideal for anyone who needs to understand the efficiency challenges in a developer workflow, and who wants to know exactly how generative AI can make developers more efficient.
What you'll learn:
By the end of this course, you will be able to:
- Understand the efficiency challenges in a developer workflow and how generative AI can make developers more efficient
- Use Gemini AI in Cloud Code to more efficiently write code for your applications
- Use Gemini AI in Google Cloud to quickly summarise your application logs
- Explain the fundamentals of prompt design when using Gemini AI in Cloud Code
- Integrate the PaLM API in your applications to use generative AI
- Explore available models available in Vertex AI Model Garden
Prerequisites
We recommend you first attend the Google Cloud Fundamentals: Core Infrastructure course before taking this course.
Course agenda
- Developer workflows and efficiency challenges
- Developer efficiency on Google Cloud
- AI-powered developer tools on Google Cloud
- Developer workflows with LLMs
- Introduction to Gemini AI
- Cloud Code and Gemini AI
- Generating and completing code by using Gemini AI
- Understanding logs using Gemini AI
- Why prompt design is important
- General prompt design tips
- Prompt design for Gemini AI
- Vertex AI 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
- Vertex AI Model Garden
- Model types and solutions
- Model Registry and model deployment
- Fine-tuning models