🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
🏆SFEIR is the Google Cloud EMEA Training Partner of the Year 2025🤝New partnership: Official GitLab Training🤖New training: AI-Augmented Developer
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Gemini Code Assist Essentials Training

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.

Google Cloud
✓ Official training Google CloudLevel Intermediate⏱️ 0.5 day (3h)

What you will 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.

Prerequisites

  • Software development
  • Familiarity with cloud concepts
  • Helpful to be familiar with: At least one IDE, Basic Git/version control knowledge

Target audience

  • Software developers, programmers, software engineers, and anyone involved in writing code who wants to improve their productivity and code quality.

Training Program

5 modules to master the fundamentals

Objectives
  • 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.
Topics covered
  • →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
Activities

2 discussions, 1 poll

Objectives
  • Apply Gemini Code Assist for various coding tasks through live demonstrations.
  • Experience the collaborative nature of Gemini Code Assist across the SDLC.
Topics covered
  • →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
Activities

4 demos

Objectives
  • Articulate Google's 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.
Topics covered
  • →Privacy & Security Commitments
  • →Protecting Intellectual Property
  • →License Attribution & Compliance
  • →Responsible AI Principles
Activities

1 discussion

Objectives
  • Recognize how organizations can measure the adoption and impact of Gemini Code Assist.
  • Outline practical next steps for continued learning and application.
Topics covered
  • →The Four Key Metrics (DORA)
  • →Impact on Developer Productivity
  • →The AI Adoption Journey
  • →Measuring Adoption & Impact
  • →Next Steps & Resources
Activities

1 discussion

Objectives
  • Evaluate understanding of core course concepts through scenario-based questions.
Topics covered
  • →Review of Core Concepts
Activities

5 scenario-based multiple choice questions

Related Trainings

Google Cloud

Gemini Enterprise Essentials for Business and Power Users

This course equips business professionals with essential skills for leveraging Gemini Enterprise. It covers generative AI basics, effective prompting, and using Gemini Enterprise for enterprise-wide search and assistance. The training also details Gemini Notebook's features for deep insights into proprietary documents and explains different AI agent types, including the Deep Research Agent, and examples of how to create no-code agents with Agent Designer.

0.5 d
Fundamental
View all trainings →

Upcoming sessions

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We regularly organize new sessions. Contact us to find out about upcoming dates or to schedule a session at a date of your choice.

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Quality Process

SFEIR Institute's commitment: an excellence approach to ensure the quality and success of all our training programs. Learn more about our quality approach

Teaching Methods Used
  • Lectures / Theoretical Slides — Presentation of concepts using visual aids (PowerPoint, PDF).
  • Technical Demonstration (Demos) — The instructor performs a task or procedure while students observe.
  • Quiz / MCQ — Quick knowledge check (paper-based or digital via tools like Kahoot/Klaxoon).
Evaluation and Monitoring System

The achievement of training objectives is evaluated at multiple levels to ensure quality:

  • Continuous Knowledge Assessment : Verification of knowledge throughout the training via participatory methods (quizzes, practical exercises, case studies) under instructor supervision.
  • Progress Measurement : Comparative self-assessment system including an initial diagnostic to determine the starting level, followed by a final evaluation to validate skills development.
  • Quality Evaluation : End-of-session satisfaction questionnaire to measure the relevance and effectiveness of the training as perceived by participants.

Frequently Asked Questions

It is for developers who want to accelerate their coding workflows and shorten the software delivery lifecycle with an AI-powered assistant.
This is an intermediate course, so some software development experience is recommended. No prior experience with AI coding tools is required.
You will learn to use Gemini Code Assist for code generation, explanation, testing, and debugging, plus security and privacy considerations and how to measure developer productivity.
Yes. A dedicated module on Security, Privacy, and Responsible AI addresses the security, privacy, and intellectual property considerations of using AI-powered coding tools.
The course lasts 3 hours and is delivered in an instructor-led format.
Yes. This is an official Google Cloud Sparks course delivered by SFEIR Institute, a certified Google Cloud Training Partner.

395€ excl. VAT

per learner

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