Course
Digicomp Code GEMCAE
Gemini Code Assist Essentials («GEMCAE»)
Course facts
- Explaining what Gemini Code Assist is, its key features, and its value proposition to developers
- Applying Gemini Code Assist for efficient code generation, explanation, testing, and debugging
- Recognizing security, privacy, and intellectual property considerations when using AI-powered coding tools
- Measuring and improving developer productivity with Gemini Code Assist
- Outlining practical next steps for continued learning and application
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.
1 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
- Identifying common modern-day developer challenges that AI-assisted coding addresses
- Explaining what Gemini Code Assist is and its core value proposition for modern developers
- Explaining the key features of Gemini Code Assist
- Engaging in a discussion about the benefits and concerns of using AI in software development
2 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
- Applying Gemini Code Assist for various coding tasks through live demonstrations
- Experiencing the collaborative nature of Gemini Code Assist across the SDLC
3 Security, Privacy, and Responsible AI
- Privacy & Security Commitments
- Protecting Intellectual Property
- License Attribution & Compliance
- Responsible AI Principles
- Articulating Google's commitment to data privacy and security with Gemini Code Assist
- Explaining how Gemini Code Assist protects intellectual property
- Describing the principles of Responsible AI as applied to coding tools
4 Measuring Impact & What's Next
- The Four Key Metrics (DORA)
- Impact on Developer Productivity
- The AI Adoption Journey
- Measuring Adoption & Impact
- Next Steps & Resources
- Recognizing how organizations can measure the adoption and impact of Gemini Code Assist
- Outlining practical next steps for continued learning and application
Software developers, programmers, software engineers, and anyone involved in writing code who wants to improve their productivity and code quality
- Software development
- Familiarity with cloud concepts
- At least one IDE
- Basic Git/version control knowledge
Products
- Gemini Code Assist
- Cloud Shell Editor