Cloud Machine Learning Engineering and MLOps

Discover the principles of machine learning engineering and its role in building scalable, intelligent systems. Learn to develop machine learning applications using software engineering best practices and continuous delivery pipelines. Explore AutoML technologies for efficient model training with minimal coding effort. Gain hands-on experience with open-source and cloud-based AutoML solutions like Ludwig and Cloud AutoML. Dive into emerging topics such as MLOps, edge machine learning, and AI APIs for cutting-edge applications.

• Evaluate machine learning engineering best practices
• Build machine learning applications
• Utilize continuous delivery for machine learning
• Summarize AutoML concepts and strategies
• Evaluate open-source AutoML with Ludwig
• Utilize cloud-based AutoML solutions
• Simplify MLOps strategies
• Interpret emerging topics in edge machine learning
• Develop solutions using AI APIs