Gemini Code Assist Essentials
Overview
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 through intelligent code completion, advanced code generation, and powerful smart actions.
What You'll Learn
- Explain what Gemini Code Assist is, its key features, and its value proposition to developers
- Apply Gemini Code Assist for efficient code generation, explanation, testing, and debugging
- Recognize security, privacy, and intellectual property considerations when using AI-powered coding tools
- Measure and improve developer productivity with Gemini Code Assist
- Outline practical next steps for continued learning and application
Who Should Attend
Software developers, programmers, software engineers, and anyone involved in writing code who wants to improve their productivity and code quality
Prerequisites
Software development, Familiarity with cloud concepts. Helpful to be familiar with: At least one IDE, Basic Git/version control knowledge
Products Covered
Course Modules
Introduction to Gemini Code Assist
Topics
- Welcome and Course Overview
- Developer Toil and its Impact
- Gemini Code Assist Value & Features
- Gemini Capabilities and Editions
- Benefits & Concerns of AI in Development
Learning Outcomes
- Identify common modern-day developer challenges that AI-assisted coding addresses
- Explain what Gemini Code Assist is and its core value proposition for modern developers
- Explain the key features of Gemini Code Assist
- Engage in a discussion about the benefits and concerns of using AI in software development
Activities
Practical Application: Key Features in Action
Topics
- 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
Learning Outcomes
- Apply Gemini Code Assist for various coding tasks through live demonstrations
- Experience the collaborative nature of Gemini Code Assist across the SDLC
Activities
Security, Privacy, and Responsible AI
Topics
- Privacy & Security Commitments
- Protecting Intellectual Property
- License Attribution & Compliance
- Responsible AI Principles
Learning Outcomes
- Articulate Google commitment to data privacy and security with Gemini Code Assist
- Explain how Gemini Code Assist protects intellectual property
- Describe the principles of Responsible AI as applied to coding tools
Activities
Measuring Impact & What's Next
Topics
- The Four Key Metrics (DORA)
- Impact on Developer Productivity
- The AI Adoption Journey
- Measuring Adoption & Impact
- Next Steps & Resources
Learning Outcomes
- Recognize how organizations can measure the adoption and impact of Gemini Code Assist
- Outline practical next steps for continued learning and application
Activities
Gemini Code Assist: Quiz/Reflection
Topics
- Review of Core Concepts
Learning Outcomes
- Evaluate understanding of core course concepts through scenario-based questions
Activities
What's Not Covered
- In-depth theoretical explanations of underlying Google AI models or advanced machine learning concepts. The course focuses on practical application and integration of Gemini Code Assist within the software development lifecycle.
Get This Training
No public classes currently scheduled. Express interest below or request private training.
Course Details
- Course Code
- CS-GECOASESS
- Duration
- 1 day
- Format
- ILT
- Level
- Intermediate
- Modules
- 5
- Activities
- 5
- Price
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