germpead itamar mainard
Argelia Long
As cloud technologies continue to help organizations transform at a rapid pace, employees with the necessary cloud skills are in high demand. According to LinkedIn data, cloud computing is the number one hard skill companies need most.
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 they need to get hired in one of the fastest-growing industries.
AWS Academy offers courses and learning resources that enable students to develop a range of skills in the AWS Cloud. Approved educators have access all AWS Academy courses and AWS Academy Learner Lab.
This introductory course is designed to give an overview of how AWS services and cloud computing can be used to solve real-world problems in a variety of industries. Through this course, students will gain a better understanding of the importance of cloud computing skills in many job roles and receive a high-level introduction to numerous AWS services.
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.
In this introductory course, students will explore AWS services and technologies, and how they can support businesses across the globe. Students will also learn to build on the AWS Management Console, examine successful cloud implementations, and apply their knowledge to cloud-based scenarios.
Extending upon the concepts from AWS Academy Introduction to Cloud: Semester 1, students will continue to explore cloud computing services, applications, and use cases. Students will dive deeper into cloud computing best practices and learn how the cloud helps users develop a global infrastructure at scale by leveraging innovative technologies.
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.
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.
This intermediate-level course is designed for students who are pursuing careers that require machine learning knowledge. Students will learn how to describe the terms in the natural language processing (NLP) ecosystem; identify how to use NLP in business; and indicate the range of problems, tasks, and solutions with NLP.
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.
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.
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.
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.
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.
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.
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.