AWS Academy
Empowering higher education institutions to prepare students for industry-recognized certifications and careers in the cloud
Bridging the gap between industry and academia
AWS Academy provides higher education institutions with a free, ready-to-teach cloud computing curriculum that prepares students to pursue industry-recognized certifications and in-demand cloud jobs. Our curriculum helps educators stay at the forefront of AWS Cloud innovation so that they can equip students with the skills required to get hired in one of the fastest-growing industries.
Program benefits
Institutions
- Become a leader in cloud education
- Develop and retain educators
- Produce graduates that are prepared for in-demand cloud careers
Educators
- Access innovative cloud courses
- Receive complimentary AWS professional training
- Receive 50% discounts on AWS Certification exams
Students
- Land a well-paid job in one of the fastest-growing industries
- Gain skills hiring managers value
- Complimentary access to AWS Skill Builder for 12 months
- Exclusive access to the Emerging Talent Community upon course completion
Employers
- Close your cloud skills gap
- Find candidates with AWS skills and experience
I have found that AWS Academy material is ideal for students looking to get hands-on experience with cloud computing.
Noah Gift
Professor, Duke University
AWS Academy provides well designed and professionally-developed learning materials for our students.
Kyong Jin Shim
Professor, Singapore Management University
With AWS Academy, we are helping both our students and the local community in Miami by creating the cloud workforce local businesses are looking for.
Antonio Delgado
Dean of Engineering, Technology and Design at Miami Dade CollegeAbout the curriculum
AWS Academy offers courses and learning resources that helps students develop a range of skills in the AWS Cloud. Approved educators have access all AWS Academy courses and AWS Academy Learner Lab.
Page topics
Foundational
Open allAWS Academy Cloud Foundations
This introductory course is intended for students who seek an overall understanding of cloud computing concepts, independent of specific technical roles. It provides a detailed overview of cloud concepts, AWS core services, security, architecture, pricing, and support.
AWS Academy Generative AI Foundations
AWS Academy Generative AI Foundations course offers an introduction to artificial intelligence with a particular emphasis on generative AI technologies. While providing a broad foundational understanding of AI and Machine Learning (ML), the curriculum delves deeper into the concepts of generative AI and its applications in cloud computing.
Students will explore the fundamental concepts, capabilities, principles, use cases and associated AWS services and tools of generative AI in the context of the AWS cloud.
AWS Academy Machine Learning Foundations
This introductory course introduces students to the concepts and terminology of artificial intelligence (AI) and machine learning (ML). By the end of this course, students will be able to select and apply ML services to resolve business problems. They will also be able to label, build, train, and deploy a custom ML model. This course contains approximately 20 hours of content delivered through lectures, hands-on labs, and project work.
AWS Academy Data Center Technician (DCT)
This course is designed to help students develop technical expertise in data center operations. Although this is a foundational course, students should possess a general knowledge of mechanical and electrical engineering concepts.
AWS Academy Engineering Operations Technicians (EOT)
This course provides an overview of the fundamental concepts and skills required for the Engineering Operations Technician role in a Data Center environment. Students will learn about topics such as data center basics, data center physical infrastructure, electrical fundamentals, and data center batteries and generators.
AWS Academy Cloud Security Foundations
This course is designed to help students gain a foundational knowledge of cybersecurity principles and services for cloud computing through a guided hands-on approach. This course includes demonstrations, instructional guides, and real-life scenarios.
Associate
Open allAWS Academy Cloud Architecting
This intermediate-level course covers the fundamentals of building IT infrastructure on AWS and helps students gain the skills they need to pursue the AWS Certified Solutions Architect – Associate certification. This course contains approximately 40 hours of content delivered through lectures, hands-on labs, and project work.
We recommend that students take AWS Academy Cloud Foundations or equivalent before taking this course.
AWS Academy Cloud Developing
This intermediate-level course will help students gain technical expertise in development with cloud technologies. It will also help them prepare for the AWS Certified Developer - Associate certification exam. Upon completion, students will be able to develop with the AWS SDK and identify best practices for building and deploying applications in the AWS Cloud. This course contains approximately 40 hours of content delivered through lectures and hands-on labs.
We recommend that students take AWS Academy Cloud Foundations or equivalent before taking this course.
AWS Academy Cloud Operations
This intermediate-level course will prepare students to pursue in-demand DevOps, support, and cloud operations roles at the entry level. It will also help them prepare for the AWS Certified SysOps Administrator – Associate exam. Through case studies, demonstrations, and hands-on activities, students will learn how to troubleshoot various scenarios and automate deployments of networks and systems on AWS. This course contains approximately 40 hours of content delivered through lectures and hands-on labs.
We recommend that students take AWS Academy Cloud Foundations or equivalent before taking this course.
AWS Academy Data Engineering
AWS Academy Data Engineering is designed to help students learn about and get hands-on practice with the tasks, tools, and strategies used to collect, store, prepare, analyze, and visualize data for use in analytics and machine learning applications. Throughout the course, students will explore use cases from real world applications that will enable them to make informed decisions while building the data pipeline for their particular application.
AWS Academy Machine Learning for Natural Language Processing
This intermediate-level course is designed for students who are pursuing careers that require machine learning knowledge. Students will learn how to describe natural language processing (NLP) terms; identify how to use NLP in business; and indicate the range of problems, tasks, and solutions with NLP.
Labs
Open allAWS Academy Learner Lab
Long-running hands-on lab environments where educators can bring their own assignments and invite their students to get experience using select AWS Services.
What can you do with AWS Academy Learner Lab?
- Create a class for your students
- Invite your students
- Assign your own projects
- View a student’s workspace
- View analytics including time and money spent
- Includes access to over 100 AWS services
- Available to all AWS Academy educators that complete the Getting started with AWS Academy course
Lab Projects
AWS Academy Cloud Data Pipeline Builder
In this project, students are challenged to use AWS services to build a data analytics pipeline to analyze website clickstream data without step-by-step guidance. The pipeline must reflect the principles of the AWS Well-Architected Framework and be able to ingest, transform, analyze, and visualize data to produce meaningful insights for businesses to make informed decisions. Specific sections of the assignment are meant to challenge students on skills that they have acquired throughout the learning process.
AWS Academy Cloud Web Application Builder
In this project, students are challenged to use AWS services to design and deploy a database-backed web application in the AWS Cloud without step-by-step guidance. The architecture must reflect the principles of the AWS Well-Architected Framework and be highly available, scalable, high performing, and secure. Specific sections of the assignment are meant to challenge students on skills that they have acquired throughout the learning process.
AWS Academy Cloud Security Builder
In this lab project, students are challenged to use AWS services to secure various resources in the AWS Cloud. The lab project is divided into four phases, which are independent of each other. The architecture must reflect the principles of the AWS Well-Architected Framework and the principle of least privilege. Specific sections of the assignment are meant to challenge students on skills that they have acquired throughout the learning process.
AWS Academy Microservices and CICD Pipeline Builder
In this project, students are challenged to use AWS services to design and build a microservices and continuous integration and continuous development (CI/CD) solution. First, students break a monolith application into separate microservices, based on functionality and API endpoints. Then, they migrate the application to run on a container-based architecture, which provides the ability for the different components of the application to scale independently. Specific sections of the assignment are meant to challenge students on skills that they have acquired throughout the learning process.
How to join
1
Determine eligibility
AWS Academy membership begins at the institution level. Institutions that meet following criteria can apply:
- Institution offers accredited degree, diploma, certificate, or continuing education programs.
- Applicant is authorized to act as the Program Administrator for the institution they represent or can provide the name and contact information of someone who can act in this capacity.
Want to learn more? Join an upcoming Program Overview Webinar. Visit our event calendar to register today.
2
Apply as an institution
The Institution Application must be submitted by a Program Administrator from the institution. The Program Administrator must be able to facilitate administration of the AWS Academy program on behalf of the institution. If you are not the Program Administrator, please direct them to the application.
3
Get started
Once the application is accepted, the institution:
- Accepts program Terms & Conditions
- Program Administrator nominates one or more educators to teach AWS Academy courses
- Proposes a class delivery plan
Success Stories
AWS Academy Emerging Talent | Khalil's Story
AWS Academy Helps QCC Train the Next Generation of Diverse Builders
Completing the AWS Academy Cloud Operations course helped raise my confidence in my ability to architect, automate, and optimize cloud environments.
Sky Resendez
Western Governors University
AWS Academy has given me a competitive advantage in terms of employment.
Steve Muland
Graduate, Durban University of Technology in South Africa
Taking an AWS Academy course gave me hands-on experience and a better understanding of cloud computing.
Hadeel Saleh Alrubayy
PhD Candidate, Queen Mary University of London in the United Kingdom