Gemini Code Assist Essentials
This course provides a comprehensive overview of Gemini Code Assist, an AI-powered tool designed to significantly enhance software development workflows. Participants will learn how Gemini Code Assist can improve coding efficiency, reduce errors, and accelerate the software delivery lifecycle.The course will cover core features such as intelligent code completion, advanced code generation, and powerful smart actions, along with best practices for integrating Gemini Code Assist into various development environments.Fundamental concepts in AI-assisted coding and software development lifecycle optimization will be explored through practical demonstrations and real-world application scenarios.
- Duration: 3 hours
- Languages: English, German
- Level: Intermediate
- Group size: Up to 50
What you'll learn
- Explain what Gemini Code Assist is, its key features, and its value proposition to modern developers.
- Apply Gemini Code Assist for efficient code generation, explanation, testing, and debugging across the development lifecycle.
- Recognize security, privacy, and intellectual property considerations when using AI-powered coding tools.
- Measure and improve developer productivity using key metrics and Gemini Code Assist's collaborative features.
- Outline practical next steps for continued learning and real-world application of AI-assisted coding.
Prerequisites
- Fundamental understanding of software development.
- Familiarity with cloud computing concepts.
- Helpful but not mandatory: Experience with at least one IDE (Integrated Development Environment) and basic Git/version control knowledge.
Course outline
Introduction to Gemini Code Assist
- Welcome and Course Overview
- Developer Toil and its Impact
- Gemini Code Assist Value & Features
- Gemini's Capabilities and Editions
- Benefits & Concerns of AI in Development
Practical Application: Key Features in Action
- Demo 1: Accelerating New Feature Development
- Demo 2: Debugging with AI Assistance
- Demo 3: Code Migration & Optimization
- Demo 4: Code Review on a Pull Request
Security, Privacy, and Responsible AI
- Privacy & Security Commitments
- Protecting Intellectual Property
- License Attribution & Compliance
- Responsible AI Principles
Measuring Impact & What's Next
- The Four Key Metrics (DORA)
- Impact on Developer Productivity
- The AI Adoption Journey
- Measuring Adoption & Impact
- Next Steps & Resources
Gemini Code Assist: Quiz/Reflection
- Review of Core Concepts
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Not sure which course fits?
Book a 30-minute call. We'll look at where your team is, what they need to be able to do, and put together either a specific course date or a tailored learning plan.