The APN Machine Learning Navigate enables APN Partners to build expertise around Machine Learning on AWS. Whether you are a data scientist, ML researcher, or developer, AWS offers machine learning services and tools tailored to meet your needs and level of expertise. 

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In Phase 1, two (2) technical individuals must complete the Well-Architected Framework training. Click on the link below to start the trainings. 


The Well-Architected Framework enables you to make informed decisions about your architectures in a cloud-native way and understand the impact of design decisions that are made. By using the Well-Architected Framework, you will understand the risks in your architecture and ways to mitigate them. This course is designed to provide a deep dive into the AWS Well-Architected Framework and its 5 pillars. It is broken into 6 modules including an overview of the AWS Well-Architected Framework, as well as the Security, Reliability, Performance Efficiency, Cost Optimization, and Operational Excellence Pillars.

Two (2) technical contacts must complete the AWS Well-Architected Framework Training.

Modules Include: 

  • The AWS Well-Architected Framework
  • The Security Pillar
  • The Reliability Pillar
  • The Performance Efficiency Pillar
  • The Cost Optimization Pillar
  • The Operational Excellence Pillar
Start the Well-Architected Training Now

In Phase 1, five (5) business contacts must complete the business training modules, and five (5) technical contacts must complete the technical training modules to advance to the second phase of APN Navigate. Click on the links below to start the trainings. 


This course is designed for business professionals at AWS Partner Network (APN) consulting partner organizations who are focused on selling machine learning (ML) services on AWS. The session focuses on establishing knowledge to effectively engage with customers in positioning AWS for ML workloads. You will learn how to identify an ML opportunity, explain the services offered by AWS in the ML field, and articulate the benefits of running ML workloads on AWS. You will also learn how to work with customers to position AWS for their ML workloads. Customer case studies are used in the course to enhance your learning experience. This is NOT a technical course.

Modules include: 

  • Discuss the business benefits (value proposition) of running ML on AWS
  • Identify and qualify ML opportunities
  • Provide a high-level overview of key AWS offerings for AI, ML and DL and use cases
  • Analyze sample reference ML architectures
  • Articulate customer success stories relevant to their business
  • Demonstrate the ability to overcome common AWS ML objections
  • Articulate competitive differentiators and use them in positioning statements
Start the Business Track Now

This course provides a technical introduction to Machine Learning on AWS. The course highlights the use of Amazon SageMaker to build, train, and deploy machine learning (ML) models at scale. You also learn how to use various AWS products for computer vision, natural language processing, and ML inference for connected devices.

Modules Include:

  • Articulate AWS Machine Learning solutions
  • Use AWS for Computer Vision
  • Use AWS for Natural Language Processing
  • Build, train, and deploy ML models at scale using Amazon SageMaker
  • Run ML models on AWS Greengrass devices
Start the Technical Track Now

Phase 2 focuses on advanced training and resources recommended by AWS subject matter experts in a specialization area, as well as best practices for creating microsites and building a partner business plan. This phase helps APN Partners reach advanced-level knowledge and showcase their specialization via their solutions offerings. 

You will gain access to all resources and activities in Phases 2 – 5 once the required number of individuals have completed the foundational trainings in Phase 1 listed above.

  • Review advanced resources from AWS subject matter experts 
  • Learn more about becoming AWS Certified 
  • Review best practices for creating the APN Partner Business Practice Plan 
  • Review best practices on developing case studies/customer references
  • Promote your offerings by showcasing your organization's service catalog and landing page 

Phase 3 provides a deep dive on the AWS Well-Architected Framework and prepares APN Partners for the baseline review for APN Technology Partners and an assessment review for APN Consulting Partners.

You will have access to the resources and activities below once the required number of individuals have completed the trainings in Phase 1:

  • Deep dive on the Well-Architected Framework
  • Demonstrate your knowledge on the Well-Architected Framework by reviewing your APN Partner Business Plan with your PDM
  • Get AWS Certified
  • Submit an opportunity with AWS 

Phase 4 measures each APN Partner’s experience and knowledge in their specialty area based on the AWS Well-Architected Framework through a review by an AWS Solution Architect or AWS Practice Lead.

You will have access to the resources and activities below once the required number of individuals have completed the trainings in Phase 1:

  • Solution or Practice Review with AWS Solutions Architect 
  • Go-to-Market Activities
  • Submitting project debrief and customer case studies 

Phase 5 helps APN Partners meet the final requirements to achieve APN Program status in our AWS Competency Program, AWS Managed Service Provider (MSP) Program, and AWS Service Delivery Program. The deliverables in this phase include case studies, microsites, and Advanced Tier achievement.

You will have access to the resources and activities below once the required number of individuals have completed the trainings in Phase 1:

  • Developing a microsite 
  • Applying for the AWS Solution Provider Program 
  • More AWS Certified individuals 
  • Go-to-Market activities and APN funding programs 
  • Plan and execute a pipeline strategy 
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