Enroll Course: https://www.coursera.org/learn/devops-dataops-mlops-duke
The course ‘DevOps, DataOps, MLOps’ on Coursera is a must-enroll for professionals aiming to master the end-to-end lifecycle of machine learning and AI applications. Designed for data scientists, software engineers, developers, and data analysts, this course offers a hands-on approach to deploying and managing ML models in production environments. It covers crucial topics such as building operations pipelines, applying foundational math and data science skills, and integrating DevOps practices with MLOps and DataOps.
One of the standout features of this course is its practical orientation. Participants will build microservices using Python, utilize AI pair programming with tools like GitHub Copilot, and work with pre-trained models from Hugging Face and OpenAI. The course also explores transitioning from Python to Rust, emphasizing its advantages for systems programming and scalable MLOps solutions on cloud platforms like AWS, GCP, and Azure.
The weekly modules are well-structured, progressively advancing from foundational concepts to complex end-to-end solutions, including deployment, pipeline creation, and cloud integration. The inclusion of Rust programming for MLOps is particularly innovative, providing learners with modern tools to enhance performance and efficiency.
Overall, this course is highly recommended for anyone looking to deepen their understanding of MLOps and AI deployment strategies. Its practical exercises, combined with cutting-edge tools and technologies, make it an invaluable resource for advancing your career in the AI and machine learning domain.
Enroll Course: https://www.coursera.org/learn/devops-dataops-mlops-duke