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GitLab gives AI options resembling code strategies, vulnerability explanations, and DevSecOps automation to streamline the event course of. These options leverage AI to enhance code high quality, strengthen safety, and speed up deployment. GitLab’s AI programs present sensible steerage on methods to successfully leverage these options, enabling builders to leverage AI for extra environment friendly and safe software program improvement. On this article, we introduce a number of the GitLab AI programs that allow builders to leverage AI options to optimize their workflows and improve the effectivity of software program improvement.

Configuring Code Suggestions

On this course, you’ll discover ways to use GitLab Duo code strategies to spice up your coding effectivity – AI-powered code completion and era, offering instantaneous strategies, creating code from pure language feedback, and extra.

Turning ML models into online apps

This course teaches methods to rework machine studying (ML) fashions into on-line apps utilizing the GitLab DevSecOps platform and Vertex AI. Learners will achieve sensible perception by way of an in depth demonstration of seamlessly integrating ML fashions into internet purposes.

Train ML models on GPU-enabled runners

This course teaches you methods to use GitLab GPU-enabled runners to speed up the coaching of machine studying (ML) fashions. We cowl environment friendly methods to speed up ML workflows.

There is no MLOps without DevSecOps

On this weblog put up, we talk about how the GitLab Knowledge Science staff leverages the DevSecOps platform to automate ML mannequin coaching, enhance experiment reproducibility, and improve monitoring of ML experiments. We offer sensible examples that can assist you achieve insights for streamlining your information science workflow.

Fix vulnerabilities with GitLab AI

This course will introduce the “Clarify this Vulnerability AI” characteristic, which makes use of Google AI to summarize and clarify vulnerabilities detected. Contributors will discover ways to allow this characteristic and use AI-generated strategies to repair vulnerabilities. They may even be taught a real-life instance of SQL injection.

GitLab Duo Case Study – Demo

This tutorial gives an outline of GitLab Duo and introduces its AI-powered DevSecOps capabilities. It covers methods to construct, take a look at, and deploy a chatbot in LLM utilizing GitLab, rising effectivity and decreasing cycle occasions throughout the software program improvement lifecycle with AI integration.

Learn Rust with AI

This tutorial reveals you methods to be taught Rust utilizing AI-powered GitLab Duo code strategies. Contributors will undergo a hands-on tutorial to effectively grasp Rust with the help of AI.

Advanced Rust with AI

This course expands on our earlier tutorial, Study Rust with AI, and focuses on designing and constructing a easy feed reader software. You may dive deeper into Rust programming with hands-on tasks and leverage AI help to counterpoint your studying expertise.

Introduction to CI/CD

This course covers the basics of CI/CD and its significance in DevSecOps and the GitLab platform. Upon completion of the course, it is possible for you to to outline CI/CD, perceive its advantages, and describe the GitLab CI/CD workflow throughout the software program improvement lifecycle.


Shobha is an information analyst with a confirmed observe document in creating modern machine studying options that drive enterprise worth.


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