MLOps Platforms: Amazon SageMaker and Azure ML

Master Cloud MLOps: AWS SageMaker & Azure ML Build end-to-end machine learning pipelines on leading cloud platforms Gain practical experience through hands-on exercises and projects Prepare for AWS & Azure ML certifications and job roles Course Highlights: Explore data engineering & ML foundations on AWS Create data repos, ETL pipelines & serverless solutions Learn data science skills - cleaning, visualization, analysis Train, select & tune ML models on AWS SageMaker Operationalize models for production with MLOps best practices Deploy & maintain ML solutions using CPU/GPU instances Ideal for data scientists, ML engineers, analysts & cloud professionals. Master comprehensive MLOps skills on AWS & Azure through real-world training.

• Apply exploratory data analysis (EDA) techniques to data science problems and datasets.
• Build machine learning modeling solutions using both AWS and Azure technology.
• Train and deploy machine learning solutions to a production environment using cloud technology.