MLOps Course – Learn to Build Machine Learning Production Grade Projects
MLOps, or Machine Learning Operations, revolutionizes machine learning project development by applying DevOps principles. Learn the ins and outs of MLOps in our new course on the freeCodeCamp.org YouTube channel. This cutting-edge field intersects machine learning, data engineering, and DevOps, providing learners with essential skills to deploy and maintain machine learning models effectively in real-world scenarios.
Key Highlights:
Fundamental Concepts and Tools: Understand the basics of MLOps, its significance, and integration with existing machine learning and software engineering practices. Explore essential tools in the MLOps ecosystem, focusing on Zenml, an innovative tool simplifying the creation and management of MLOps workflows.
Practical Applications and Real-World Projects: Dive into hands-on learning with real-world datasets like the Olist customer dataset. Apply theoretical knowledge to practical problems, such as predicting customer satisfaction.
Comprehensive Skill Development: Gain expertise in critical MLOps areas, including environment setup, designing workflows, data cleaning, and model preparation. Cover the entire machine learning model lifecycle, from development and evaluation to deployment and monitoring in production.
Advanced Techniques and Best Practices: Explore advanced topics like experiment tracking and model evaluation. Emphasize best practices in model development and deployment, preparing learners for real-world machine learning challenges.
Interactive Learning Experience: Create a Streamlit application to build user-friendly interfaces for machine learning models. Enhance your learning experience and discover how to make ML models accessible to a wider audience.
This MLOps course on freeCodeCamp.org's YouTube channel is a valuable resource for anyone venturing into the world of machine learning operations. Watch the full 3-hour course to elevate your MLOps skills.
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