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Professional Services – Courses for individuals that want to develop and extend professional services competencies.
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Professional Services Courses
AWS Professional Services: Big Data & Analytics
This course is designed to teach how to build data lakes on AWS, create an AWS Glue data catalog, run queries using Amazon Athena and Amazon Redshift Spectrum, use AWS Schema Conversion Tool and AWS Database Migration Service, and visualize data with Amazon QuickSight. The course focuses on AWS best practices, patterns, tools, and techniques for running Big Data and Analytics solutions on AWS.
AWS Professional Services: Building a Contact Center Using AWS (Professional Services)
Course is focused on implementing a cloud-based contact center using Amazon Connect. Partners will use the hands-on lab exercises to set up a contact center using Amazon Connect and learn how to integrate Amazon Connect with AWS Lambda, Amazon DynamoDB, Amazon Polly, and Amazon Lex to implement dynamic contact flows, user authentication, Interactive Voice Response (IVR) system with Natural Language Understanding (NLU).
AWS Professional Services: Cloud Advisory
This course teaches you how to build a compelling business case for cloud adoption, and how to accelerate customer's cloud adoption process. You will learn how to apply the cloud economics concepts to a business case; and perform a Total Cost of Ownership (TCO), and a Total Cost of Migration (TCM) exercise. You will learn how to calculate the Return on Investment (ROI), Net Present Value (NPV), Modified Internal Rate of Return (MIRR), and Payback Period values to support the cloud adoption business case. The course also includes the Cloud Journey Simulation ‐ an experiential learning to accelerate an organization's cloud adoption. The gamified approach allows players to experience the real‐world impacts on a company's cloud journey based on the operating model changes they select to invest in. You will experience how this approach helps customer's leadership team to accelerate the cloud adoption within their organization.
AWS Professional Services: Cloud Adoption Framework (Professional Services)
AWS Cloud Adoption Framework (AWS CAF) training is designed to provide an overview of the AWS CAF and the AWS CAF Alignment Workshop. This one-day workshop mixes theory and practice, providing attendees with working knowledge of the AWS CAF and the ability to facilitate the AWS CAF Alignment Workshop.
AWS Professional Services: Deployment Best Practices for Amazon Workspaces (Professional Services)
This course discusses the best practices for deployment and management of Amazon WorkSpaces including account structures, network considerations, and integration with directory services.
AWS Professional Services: Machine Learning on AWS
In this course, you will focus on the application and platform services of the AWS Machine Learning Stack. In the lab exercises, you will use Amazon Rekognition, Amazon Comprehend, and Amazon Polly for use cases like analyzing customer behavior and performing sentiment analysis. We will build machine learning models, train in a big data pipeline, and deploy them using Amazon SageMaker. We will explore best practices for machine learning (ML) implementation and frameworks for ML model deployment.
AWS Professional Services: Operational Integration Best Practices
This course is designed to provide a prescriptive approach to establishing Cloud Operating Model (COM) frameworks that address the people, processes, and tooling needed to support production workloads in the AWS cloud. You will learn how to define production readiness criteria, develop a MVP (Cycle 1) plan, and define iterative future cycles (Cycle n). You will also learn how to establish multiple Cloud Operating Models within an enterprise.
AWS Professional Services: Security Best Practices (Professional Services)
This course focuses on understanding and implementing AWS security best practices. The course uses a challenge-based, hands-on approach to teach and reinforce AWS security best practices around encryption, data protection, disaster recovery, high availability, monitoring, logging, alerting, event detection, incident response, and security automation