Python Fundamentals for MLOps

Master Python for efficient Machine Learning Operations by building strong programming foundations, creating MLOps automation, and gaining applicable experience. Fundamentals of Python programming: Data types, functions, modules Testing techniques Data manipulation and analysis Work with datasets using Pandas Leveraging NumPy for data science Hands-on coding exercises Apply Python in MLOps workflows This comprehensive course covers the essential Python skills for succeeding in MLOps roles. Through hands-on exercises, you'll learn: Core Python programming concepts Data manipulation and analysis Containerization of ML models GitHub Actions for automation Whether you're new to MLOps or an experienced professional, this course equips you with the foundational Python skills to excel in machine learning operations roles.

• Interact with APIs and SDKs to build command-line tools and HTTP APIs to solve and automate Machine Learning problems.
• Work with logic in Python, assigning variables and using different data structures.
• Write, run and debug tests using Pytest to validate your work.