Amazon Web Services Machine Learning Essential Training helps you leverage the powerful services and tools of Amazon Web Services (AWS) to more effectively design and implement machine learning solutions. While introducing the general concepts of machine learning, the course instructor also reviews the types of key algorithms in the field. He also looks at various services such as AWS Machine Learning, Lex, Polly, and Rekognition that can predict image and video tags. It also teaches you how to use platforms such as SageMaker, including hosted Jupyter notebooks.
What you will learn:
- General concepts of machine learning
- Types of Key Machine Learning Algorithms
- Machine Learning Business Scenarios
- How to choose the right algorithm
- AWS Machine Learning API Services
- Forecasting using various AWS services such as:
- Understanding for Natural Language Processing (NLP)
- Polly for text to speech
- Lex for chatbots
- Image and video recognition
- Decipher and translate
- AWS Machine Learning Platforms
- Understanding and Using AWS Machine Learning and SageMaker Services
- Creating a Jupyter Notebook Using SageMaker
- Working with data in SageMaker notebooks
- Train a Model with SageMaker
- Deploying and Placing a Model Using SageMaker
- Using a model through the SageMaker endpoint
- Selecting a model training algorithm
- Advanced use of SageMaker
- virtual machine learning servers
- Understanding Deep Learning
- Working with various deep learning frameworks in SageMaker.
- Launching an AWS Deep Learning Machine Image (Deep Learning AMI)
- Working with EMR for Machine Learning
- Machine learning architectures
- AWS Machine Learning API Services for Conversational Applications
- AWS Machine Learning Service for Internet of Things (IoT) Applications
- Best practices for algorithms and architectures
This course is suitable for people who:
This course is ideal for people who want to learn how to use AWS cloud services for machine learning solutions. Basic knowledge of machine learning and programming required.