This course provides an introduction to Gemini 3 Code Assist, Google’s AI-powered development assistant integrated into modern IDEs. Participants will learn how to leverage Gemini’s advanced capabilities—including contextual code generation, refactoring, agent-based workflows, and in-editor collaboration—to improve productivity across the software development lifecycle. The training combines conceptual understanding with hands-on labs, enabling learners to effectively integrate AI-assisted coding into real-world development workflows.
Prerequisites:
To get the most out of this session, participants should have:
- Basic Python programming knowledge
- Familiarity with an IDE
- Understanding of software development lifecycle (SDLC) concepts
- Basic knowledge of Cloud environments
NOTE: Pluralsight requires each participant to have access to the Generative AI tool(s) used in this course. Where Customer does not provide that access, Pluralsight will provide it and AI lab fees will apply.
Purpose
| Leverage Gemini's capabilities to improve productivity across the software development lifecycle |
Audience
| IT professionals looking to improve productivity with an AI-powered development assistant |
Role
| Software Developers |Â DevOps Engineers | Cloud Engineers |Â Technical Leads
|
Skill level
| Introduction |
Style
| Lecture | Hands-on Activities | Labs |
Duration
| 1 day |
Related technologies
| AI/ML | Generative AI | Cloud |
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Learning Objectives
- Understand the architecture and capabilities of Gemini 3 Code Assist
- Configure and use Gemini Code Assist within supported IDEs
- Generate, explain, and refactor code using AI assistance
- Apply prompt engineering techniques for accurate and efficient outputs