The 10 best CI/CD courses in 2026

Learn to deploy ML models to production using the Sovereign Rust Stack—a pure Rust implementation with zero Python runtime dependencies. This hands-on course teaches you to work with three critical model formats (GGUF, SafeTensors, APR), implement MLOps pipelines with CI/CD and observability, and deploy models across GPU, CPU, WebAssembly, and edge targets. Through real-world projects including a Python-to-Rust transpiler (Depyler), browser-based speech recognition (Whisper.apr), and LLM inference benchmarking (Qwen), you'll master format conversion, cryptographic model signing, and performan

This course equips you with the essential skills to take generative AI models from development to production. You will learn to implement robust MLOps practices on Azure, including automated CI/CD pipelines, version control, and full lifecycle management for your models. Simultaneously, you will dive into the critical principles of Responsible AI, using Microsoft’s framework to build fair, transparent, and ethical models that you can deploy with confidence.

Master No-Code Testing: Advanced Reflect Strategies is an advanced-level course designed for experienced QA professionals and automation specialists looking to scale and stabilize web application testing—without writing code. Going beyond basic record-and-replay, this course equips learners to design modular test architectures, integrate Reflect into CI/CD pipelines, and implement resilient strategies for dynamic UIs. Through practical video walkthroughs, system-level demonstrations, and hands-on challenges, learners will tackle real-world issues like flaky tests, brittle selectors, and post-

Take your Spring Boot skills to the next level by learning how to deploy, scale, and monitor real-world applications using tools like Docker, AWS ECS, and Spring Security. In this hands-on course, you'll apply essential DevOps practices—CI/CD, containerization, and observability—to move confidently from local development to production-ready deployment. In the first module, you’ll explore modern deployment workflows, external configuration, and container fundamentals. You’ll also understand how Docker integrates into Spring Boot development. The second module guides you through building effici

Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This course is designed to guide you through deploying a full MERN stack application on Azure Cloud using Azure DevOps pipelines for seamless CI/CD integration. You’ll start by getting a solid introduction to cloud infrastructure, the role of public cloud providers, and the fundamental models like IaaS, PaaS, and SaaS. The course then dives in

This intermediate course provides a practical, hands-on exploration of Databricks Governance, focusing on the essential tools and workflows for managing and securing your data lakehouse. You will learn to navigate and control access to your data assets using Unity Catalog, the foundation of Databricks governance. The course covers the core hierarchy of metastores, catalogs, schemas, and tables, and teaches you how to manage them programmatically using the Databricks Python SDK, CLI, and VS Code extension. Beyond foundational access control, you will master the skills to implement modern CI/CD

A principle of DevOps is to replace manual processes with automation to improve efficiency, reduce human error, and accelerate software delivery. This requires automation that continuously integrates code changes and continuously delivers those changes to a production environment. This course introduces you to Continuous Integration and Continuous Delivery (CI/CD), an automated approach to software development. You’ll discover the benefits of CI/CD for creating a DevOps pipeline and explore popular CI/CD tools. You’ll examine the key features of CI, explore social coding, and the Git Feat

Learn to build cloud-based development environments with GitHub Codespaces, run GPU-accelerated AI workloads, use GitHub Copilot for AI-assisted coding, and automate CI/CD pipelines with GitHub Actions. This hands-on course walks you through launching Codespaces from repository templates, configuring dev containers for different machine types, and running NVIDIA GPU instances for machine learning tasks. You will use Whisper for speech-to-text transcription on GPU-enabled Codespaces and explore Hugging Face for model hosting, datasets, and fine-tuning pre-trained models. The course demonstrates

Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this meticulously designed course, you'll embark on a journey to understand the fundamental principles of DevOps and the crucial role Git plays in version control and continuous integration. The course begins with an introduction to DevOps, explaining its importance and how it revolutionizes the development and operations landscape. You'll

This course delves into the transformative methodologies of DevOps and GitOps, equipping you with the skills to streamline software development and deployment processes. Through engaging lessons, you'll explore the origins and evolution of DevOps, understand the intricacies of Continuous Integration and Continuous Deployment (CI/CD), and gain hands-on experience with Git, the cornerstone of version control. Additionally, you'll learn to create efficient pipelines to automate workflows, enhancing productivity and collaboration within your team. By the end of this course, you'll be proficient in