3 hours EN / DE Max 50

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.

€295,00 excl. VAT

Individual scheduling

The courses are held as dedicated group sessions. Once you've booked, we'll coordinate a date that works for your team and send invitations to all participants.

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.

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.

Course modules
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
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
Privacy & Security Commitments Protecting Intellectual Property License Attribution & Compliance Responsible AI Principles
The Four Key Metrics (DORA) Impact on Developer Productivity The AI Adoption Journey Measuring Adoption & Impact Next Steps & Resources
Review of Core Concepts
Gemini Code Assist Essentials