MLOps | Machine Learning Operations

University of Naples Federico II via Coursera Specialization

Overview

Embark on a comprehensive journey into the world of Machine Learning Operations (MLOps) with our specialized course series, tailored for individuals possessing programming expertise. Ideal for software developers, data scientists, and researchers, this series dives deep into essential MLOps skills. Master the use of programming languages like Python and Rust, and enhance your productivity with tools such as GitHub Copilot. Gain proficiency in leveraging cutting-edge platforms including Amazon SageMaker, Azure ML, and MLflow for your projects. Additionally, acquire the ability to fine-tune Large Language Models (LLMs) with Hugging Face and learn the intricacies of deploying efficient binary embedded models using the ONNX format. This knowledge equips you to excel in the dynamic landscape of MLOps.

Through this educational adventure, discover the pathways to various career opportunities such as:

Data Science: Delve into complex data analysis, ML model development, effective data management, and fostering data-driven strategies.
Machine Learning Engineering: Craft and launch ML models and systems to address real-world challenges.
Cloud ML Solutions Architect: Utilize cloud platforms like AWS and Azure for the design and management of scalable, cost-efficient ML solutions.
Artificial Intelligence (AI) Product Management: Act as a pivotal liaison among business, engineering, and data science groups to introduce significant AI/ML products.

Offered by the prestigious University of Naples Federico II and available on Coursera as a Specialization, this series falls into multiple enriching categories including Python, Data Science, MLOps, DevOps, GitHub Copilot, Amazon SageMaker, and Rust courses. Launch your journey towards becoming an MLOps expert today.