Analyze and visualize data for machine learning

Demonstrate the implementation of Kinesis Data Streams

Examine AWS Glue service with creation of crawler and transform job

Analyze Modeling Concepts and train Machine Learning Models

Examine performance of machine learning models

Implement automatic model tuning by training a model

Determine algorithm concepts in ML

Design Regression algorithms and Classification based algorithms

Examine Reinforcement learning algorithms and Forecasting algorithms

Design machine learning solutions for performance, availability, scalability, resiliency, and fault tolerance

Implement appropriate machine learning services and features for a given problem

Develop machine learning solutions with lab demonstration