Enroll Course: https://www.udemy.com/course/mastering-advanced-mlops-on-gcp-cicd-kubernetes-kubeflow/
If you’re venturing into the world of Machine Learning Operations (MLOps) and seeking a comprehensive guide that covers everything from foundational concepts to advanced deployment techniques, the ‘Beginner to Advanced MLOps on GCP-CI/CD, Kubernetes Jenkins’ course on Udemy is an excellent choice. This course offers a deep dive into a broad array of tools and technologies essential for deploying, managing, and monitoring ML models in production environments.
Starting with experiment tracking and model management using MLFlow and Comet-ML, you’ll learn how to log, compare, and reproduce experiments effectively. The course also covers vital aspects of data and code versioning with DVC and Git, ensuring reproducibility and collaborative development.
Automation and CI/CD pipelines are at the heart of scalable ML operations, and you’ll explore Jenkins, GitHub Actions, GitLab CI/CD, and ArgoCD to automate workflows. The course emphasizes on leveraging GCP’s robust infrastructure with tools like Minikube, Google Cloud Run, and Kubernetes for scalable deployment.
Containerization with Docker and Kubernetes forms the backbone of deploying ML models efficiently, while data engineering with PostgreSQL, Redis, and Airflow ensures seamless data processing and feature storage. Monitoring tools such as Prometheus and Grafana help track model performance and detect data drift, which is critical for maintaining model accuracy over time.
Further, the course dives into building APIs and web apps with FastAPI and Flask, integrating ChatGPT, and documenting APIs with SwaggerUI and Postman, providing a full-stack approach to deploying ML solutions.
This course is highly recommended for data scientists, ML engineers, and DevOps professionals aiming to modernize their ML workflows, ensure reproducibility, automate deployment, and achieve scalable, reliable models in production. The hands-on approach ensures you gain practical skills that can be immediately applied to real-world projects.
Enroll Course: https://www.udemy.com/course/mastering-advanced-mlops-on-gcp-cicd-kubernetes-kubeflow/