DevOps, DataOps, MLOps

Overview

Join our comprehensive course on DevOps, DataOps, and MLOps provided by the University of Naples Federico II on Coursera, designed to equip participants with the knowledge to apply Machine Learning Operations (MLOps) in solving real-world challenges. This interactive course emphasizes hands-on learning with Artificial Intelligence (AI) and machine learning (ML), incorporating pair programming methodologies alongside technologies such as GitHub Copilot.

Whether you're a data scientist, software engineer, developer, or data analyst, this course has something for you.

By engaging with this course, you'll gain the skills to use advanced web frameworks like Gradio and Hugging Face for deploying ML solutions, craft a command-line interface using the Click framework, and harness the power of Rust for GPU-accelerated ML tasks. The curriculum spans over five weeks, covering:

• Introduction to MLOps technologies and leveraging pre-trained models for customer solutions.
• Practical application of ML and AI through optimization, heuristics, and simulations.
• Developing comprehensive operations pipelines, including DevOps, DataOps, and MLOps, with a focus on GitHub.
• Building and packaging containers for ML to streamline deployment in cloud environments that support containers.
• Transitioning from Python to Rust for crafting advanced solutions in Kubernetes, Docker, Serverless, Data Engineering, Data Science, and MLOps contexts.

This course falls under various categories such as MLOps Courses, DevOps Courses, GitHub Copilot Courses, Gradio Courses, and Rust Courses, making it a valuable asset for any professional or aspiring professional in these areas.

Enroll today to enhance your skills and tackle ML and AI projects with confidence.

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Taught by

Noah Gift and Alfredo Deza

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Subjects