Amazon Web Services (AWS) is rapidly becoming one of the most popular platforms among those doing data science work. This learning path provides comprehensive, cohesive skill development for data admins, engineers, and DevOps who will use AWS with data science and business analytics teams.
Build your AWS foundational knowledge.
Optimize for DevOps work with data science and analytics teams.
Amazon Web Services Essential Training with Jeff Winesett
Learn about using Amazon Web Services (AWS) as your cloud-based infrastructure solution. This course covers cloud concepts and best practices, implementation, automation, optimization, security, and server setup.
5h 2m • COURSE
Amazon Web Services: Monitoring and Metrics with Sharif Nijim
Take an intermediate-level look at monitoring and metrics for the AWS platform. Learn how to work with CloudWatch, VPC flow logs, AWS Config, and more.
2h 4m • COURSE
Amazon Web Services: Data Services with Lynn Langit
Explore your storage and framework options when working with the data services on the Amazon cloud.
4h 30m • COURSE
Amazon Web Services for Data Science with Lynn Langit
Learn what you need to know to implement cloud-based big data solutions using the right mix of Amazon Web Services.
3h 56m • COURSE
AWS for DevOps: Monitoring, Metrics, and Logging with Lynn Langit
Learn how to use practical tools and techniques for instrumenting your production AWS applications. This course maps to the Monitoring, Metrics, and Logging domain from the AWS Certified DevOps Engineer – Professional exam.
2h 41m • COURSE
AWS for DevOps: High Availability and Elasticity with Lynn Langit
Learn tools, best practices, and design patterns for effective application scaling (elasticity) and high availability for applications running on the AWS cloud.
2h 33m • COURSE
You'll learn AWS and DevOps skills with these experts
Jeff Winesett is CEO and partner at SeeSaw Labs, a creative technology and digital production company.
Jeff has spent many years building large-scale digital products and business applications on top of Amazon Web Services. He is a strong proponent of using cloud-based services to strengthen the offering of software applications, and is a Amazon Web Services Certified Solutions Architect. He is often presenting on, writing about, and building upon AWS cloud services.
Sharif Nijim is a lead IT architect at the University of Notre Dame.
In this role, Sharif cochairs both the architecture and design review boards. His main areas of focus include IT strategy, cloud computing, enterprise architecture, DevOps, and application programming interfaces. Sharif also serves as a concurrent instructor in the Mendoza College of Business, where he teaches an undergraduate course on systems analysis and design.
Prior to his position at Notre Dame, Sharif was the director of quality assurance and special projects for TravelClick. He also cofounded and served on the board of a customer data integration company, serving the airline industry, and spent over a decade building enterprise-class transactional, decision support, and customer data integration (CDI) systems for international clients.
Sharif graduated with honors from the University of Notre Dame.
Lynn Langit is a cloud architect who works with Amazon Web Services and Google Cloud Platform.
Lynn specializes in big data projects. She has worked with AWS Athena, Aurora, Redshift, Kinesis, and the IoT. She has also done production work with Databricks for Apache Spark and Google Cloud Dataproc, Bigtable, BigQuery, and Cloud Spanner.
Lynn is also the cofounder of Teaching Kids Programming. She has spoken on data and cloud technologies in North and South America, Europe, Africa, Asia, and Australia.