GITLABOFF_DUOPRINCIPLES

GitLab Duo Principles Training

Explore the power of AI in across your DevSecOps workflows with our GitLab Duo Principles Training. This concise, half-day, instructor-led training is meticulously crafted to empower your teams with critical insights and techniques to effectively utilize AI-driven functionalities across the entire SDLC. Participants will engage in hands-on labs designed to demonstrate the practical benefits of integrating AI tools, enhancing productivity, and optimizing workflows through the innovative features of GitLab Duo.

GitLab
✓ Official training GitLabLevel Fundamentals⏱️ 1 day (7h)

What you will learn

  • Effectively utilize AI-driven functionalities across the entire SDLC
  • Integrate AI tools to enhance productivity and optimize workflows
  • Understand AI technologies at GitLab and the functionalities of GitLab Duo
  • Accelerate development workflows using GitLab Duo
  • Leverage GitLab Duo for enhancing productivity in issues handling and merge requests
  • Generate effective code prompts, create components, refactor applications, and write tests using AI-powered tools
  • Use GitLab Duo to identify, explain, and resolve security vulnerabilities

Prerequisites

  • GitLab Fundamentals course or equivalent knowledge
  • GitLab CI/CD course or equivalent knowledge
  • This class is not appropriate for students without any Git, GitLab, or GitLab CI/CD knowledge

Target audience

  • Designed for teams new to GitLab Duo, this training is suited for those looking to integrate AI tools effectively into their development processes.

Training Program

5 modules to master the fundamentals

Topics covered

  • →Overview of AI technologies at GitLab and the specific functionalities of GitLab Duo.
  • →Duo Chat

Topics covered

  • →Practical exercises on accelerating development workflows using GitLab Duo, including project initiation and code explanation.

Topics covered

  • →Learn to leverage GitLab Duo for enhancing productivity in issues handling and merge requests.

Topics covered

  • →Detailed guidance on generating effective code prompts, creating components, refactoring applications, and writing tests using AI-powered tools.

Topics covered

  • →Use GitLab Duo to identify, explain, and resolve security vulnerabilities efficiently.

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.
  • Guided Labs — Guided practical exercises on software, hardware, or technical environments.
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.

Upcoming sessions

No date suits you?

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

Register for a custom date

700€ excl. VAT

per learner