AWS Training and Certification Blog
Upskill your team for generative AI projects with AWS Training
As organizations move from dabbling in generative artificial intelligence (AI) to building customer-facing applications, having a skilled team is crucial for project success. You can leverage AWS Training courses to upskill your team, ensuring they are prepared for your next generative AI project.
Learn to build machine learning models and generative AI applications using new AWS courses
To meet the generative AI training needs, AWS Training and Certification has launched courses focused on the decision maker, data scientist, and the developer personas.
Learn to build, train, and iterate machine learning models faster with new AWS course
For experienced data scientists working with disparate data science tools, Amazon SageMaker Studio provides an integrated set of ML tools in a single interface. Our new three-day, advanced-level, virtual classroom course, Amazon SageMaker Studio for Data Scientists, will help you develop the skills to increase productivity at every stage of the ML lifecycle using SageMaker Studio.
Learn to build batch analytics solutions with new AWS Classroom course
Learn more about our new AWS intermediate-level course, Building Batch Data Analytics Solutions on AWS. If you are a data engineer or data architect who builds data analytics pipelines with open-source analytics frameworks, such as Apache Hadoop or Apache Spark, this one-day, virtual classroom course will help you develop these skills. You’ll learn to build a modern data architecture using Amazon EMR, an enterprise-grade Apache Spark, and Apache Hadoop managed service . . .
Learn to build a data warehousing solution with new AWS course
If you’re a data warehouse engineer, a data platform engineer, or a solutions architect with the responsibility to build data analytics pipelines using Amazon Redshift, our new one-day, virtual classroom course, Building Data Analytics Solutions Using Amazon Redshift, will help you develop the skills needed to build a modern data architecture that includes Amazon Redshift.
Learn how to operationalize ML models with new AWS course
A VentureBeat report notes that 87% of data science projects never make it to production. This isn’t surprising if we consider an International Data Corporation (IDC) survey that points to the lack of machine learning and operations (MLOps) skills as one of the top three challenges in operationalizing artificial intelligence (AI). 52% of the participants […]
Spend a day with AWS experts and learn how to build a data lake
Why build a data lake? Did you know that the amount of digital data created over the next five years will be greater than twice the amount of data created since the advent of digital storage? We’re not only producing more data than ever, we’re also producing real-time data that is streaming from a host […]






