AWS Academy is a global program that offers educational institutions a comprehensive curriculum focused on cloud computing using Amazon Web Services (AWS). The program provides institutions with access to up-to-date learning materials, hands-on labs, and assessments to teach students about various cloud computing topics. By participating in AWS Academy, students gain practical skills and knowledge in using AWS services, preparing them for careers in cloud computing and related fields. The program also offers opportunities for students to earn industry-recognized AWS Certifications, enhancing their employability in the growing cloud computing industry. Overall, AWS Academy serves as a valuable bridge between academia and industry, equipping students with in-demand cloud computing skills.
| No | Course | Link |
|---|---|---|
| 1 | Cloud Foundations |  |
| 2 | Cloud Architecting | |
| 3 | Data Engineering | |
| 4 | Machine Learning for Natural Language Processing | |
AWS Academy Cloud Foundations 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 Cloud Architecting covers the fundamentals of building IT infrastructure on Amazon Web Services, or AWS. The course is designed to teach solutions architects how to optimize the use of the AWS Cloud by understanding AWS services and how these services fit into cloud-based solutions.
Because architectural solutions can differ depending on industry, type of applications, and size of business, this course emphasizes best practices for the AWS Cloud, and it recommends various design patterns to help you think through the process of architecting optimal IT solutions on AWS. It also presents case studies throughout the course, which showcase how some AWS customers have designed their infrastructures, and the strategies and services that they implemented. Finally, this course also provides opportunities to build a variety of infrastructures via a guided, hands-on approach.
AWS Academy Data Engineering is designed to help students learn about and get hands-on practice with the tasks, tools, and strategies that are used to collect, store, prepare, analyze, and visualize data for use in analytics and machine learning (ML) applications. Throughout the course, students will explore use cases from real-world applications, which will enable them to make informed decisions while building data pipelines for their particular applications.
AWS Academy Machine Learning for Natural Language Processing (NLP) is a follow-up course to AWS Academy Machine Learning Foundations. The course is at an intermediate technical level (similar to the AWS Academy Architecting, Operations, and Developing courses) and is appropriate for students who are pursuing careers that require machine learning (ML) knowledge.
Now there are 10 training courses with badge assessments. Here's how to enroll:
💡 The best investment you can make is an investment in yourself. I've prepared a list of free cloud courses that come with free assessments and digital badges.
There is not a single page that summarizes how to enroll in different AWS badges, so here you go (all up-to-date) including the latest addition, Cloud Essentials:
| No | Training Course | Link |
|---|---|---|
| 1 | Cloud Essentials | |
| 2 | Media & Entertainment | |
| 3 | Architecting | |
| 4 | AWS for Games | |
| 5 | Serverless | |
| 6 | Object Storage | |
| 7 | Block Storage | |
| 8 | File Storage | |
| 9 | Storage Data Migration | |
| 10 | Data Protection & Disaster Recovery | |
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