Full Stack Machine Learning with AWS Tools - Build Production AI

This is an 8 part course for startup entrepreneurs, developers, and anyone else who wants to build production AI solutions in AWS. Taught by PhDs who are industry experts on Production ML.

Instructors:
Nisha Talagala (https://www.linkedin.com/in/nisha-talagala-6a6b20/)
Sindhu Ghanta (https://www.linkedin.com/in/sindhu-ghanta-b6359021/)

Curriculum:
We introduce the basic concepts of ML followed by exercises to build several ML pipelines on AWS using cloud tools such as S3, AWS SageMaker, AWS Lambda, AWS API Gateway (and IAM roles configuration). Every student builds a custom project using these cloud tools as a part of this course. Every ML pipeline built by the student is published as a live microservice.

Topics, Tools, and Modules:
• Build AI and ML models for different types of data: Numerical, Categorical and Text
• Build different types of predictive models (Regression and Classification)
• Learn to process raw data to a form that is acceptable to the DL algorithm and AWS for building a pipeline
• Learn to use AWS cloud tools such as:
• S3
• AWS SageMaker
• AWS Lambda
• API Gateway
• Learn about microservices and REST API
• Every ML pipeline built by the user is published as a microservice
• Learn to detect skew and bias in ML pipelines
• Production best practices
• Use the same industry cloud tools that businesses and experts do, We show you how to use them easily. You can use the same tools as you do more advanced classes.

Register here: https://aiclub.world/workshops/developer/d1