GitLab provides AI features such as code suggestions, vulnerability explanations, and DevSecOps automation to streamline the development process. These features leverage AI to improve code quality, strengthen security, and accelerate deployment. GitLab's AI courses provide practical guidance on how to effectively leverage these features, enabling developers to leverage AI for more efficient and secure software development. In this article, we introduce some of the GitLab AI courses that enable developers to leverage AI features to optimize their workflows and increase the efficiency of software development.
Configuring Code Suggestions
In this course, you will learn how to use GitLab Duo code suggestions to boost your coding efficiency – AI-powered code completion and generation, providing instant suggestions, creating code from natural language comments, and more.
Turning ML models into online apps
This course teaches how to transform machine learning (ML) models into online apps using the GitLab DevSecOps platform and Vertex AI. Learners will gain practical insight through a detailed demonstration of seamlessly integrating ML models into web applications.
Train ML models on GPU-enabled runners
This course teaches you how to use GitLab GPU-enabled runners to accelerate the training of machine learning (ML) models. We cover efficient techniques to accelerate ML workflows.
There is no MLOps without DevSecOps
In this blog post, we discuss how the GitLab Data Science team leverages the DevSecOps platform to automate ML model training, improve experiment reproducibility, and enhance tracking of ML experiments. We provide practical examples to help you gain insights for streamlining your data science workflow.
Fix vulnerabilities with GitLab AI
This course will introduce the “Explain this Vulnerability AI” feature, which uses Google AI to summarize and explain vulnerabilities detected. Participants will learn how to enable this feature and use AI-generated suggestions to fix vulnerabilities. They will also learn a real-life example of SQL injection.
GitLab Duo Case Study – Demo
This tutorial provides an overview of GitLab Duo and introduces its AI-powered DevSecOps capabilities. It covers how to build, test, and deploy a chatbot in LLM using GitLab, increasing efficiency and reducing cycle times across the software development lifecycle with AI integration.
Learn Rust with AI
This tutorial shows you how to learn Rust using AI-powered GitLab Duo code suggestions. Participants will go through a hands-on tutorial to efficiently master Rust with the assistance of AI.
Advanced Rust with AI
This course expands on our previous tutorial, Learn Rust with AI, and focuses on designing and building a simple feed reader application. You'll dive deeper into Rust programming with hands-on projects and leverage AI assistance to enrich your learning experience.
Introduction to CI/CD
This course covers the fundamentals of CI/CD and its importance in DevSecOps and the GitLab platform. Upon completion of the course, you will be able to define CI/CD, understand its benefits, and describe the GitLab CI/CD workflow within the software development lifecycle.
Shobha is a data analyst with a proven track record in developing innovative machine learning solutions that drive business value.
