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.
Ce que vous allez apprendre
- 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
Prérequis
- 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
Public cible
- Designed for teams new to GitLab Duo, this training is suited for those looking to integrate AI tools effectively into their development processes.
Programme de la Formation
5 modules pour maîtriser les fondamentaux
Sujets abordés
- →Overview of AI technologies at GitLab and the specific functionalities of GitLab Duo.
- →Duo Chat
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
- 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.
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.
Prochaines sessions
Aucune date ne vous convient ?
Nous organisons régulièrement de nouvelles sessions. Contactez-nous pour connaître les prochaines dates disponibles ou pour organiser une session à la date de votre choix.
S'inscrire à une date personnaliséeFormer plusieurs collaborateurs
- Tarifs dégressifs (plusieurs places)
- Session privée ou sur-mesure
- En présentiel ou à distance