JIT is AWS Academy Member Institution by which bridging the gap between industry and academia.

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 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.

AWS Academy Learners Lab

An AWS Academy Learner Lab is an online sandbox that offers a long-running lab environment suitable for student projects over a period designated by the educator. Each student in an AWS Academy Learner Lab will have a $100 AWS Platform Credit to use for the duration of their lab. Within this lab, students will have access to a restricted set of AWS services for project work, educator-designed lab exercises, or practice. Services deployed by students are available until the end date. AWS Academy Learner Labs are independent from other AWS Academy courses, and educators can use this environment with their students at any time.

Benefits:

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
• Receive 50% discounts on AWS Certification exams
• Exclusive access to the Emerging Talent Community upon course completion

Employers

• Close your cloud skills gap
• Find candidates with AWS skills and experience

Course Name: AWS Academy Introduction to Cloud Semester 1

Course Overview: AWS Academy Introduction to Cloud: Semester 1 is an exploration of cloud computing. In this course, students explore cloud computing services, applications, and use cases. Students dive deeply into cloud computing best practices and learn how cloud computing helps users develop a global infrastructure to support use cases at scale while also developing and inventing innovative technologies.

Course Name: AWS Academy Introduction to Cloud Semester 2

Course Overview: AWS Academy Introduction to Cloud: Semester 2 is an exploration of cloud computing. In this course, students explore cloud computing services, applications, and use cases. Students dive into cloud computing best practices and learn how cloud computing helps users develop a global infrastructure to support use cases at scale while also developing and inventing innovative technologies.

Course Name: AWS Academy Machine Learning Foundation

Course Overview: AWS Academy Machine Learning Foundations introduces students to the concepts and terminology of Artificial Intelligence and machine learning. By the end of this course, students will be able to select and apply machine learning services to resolve business problems. They will also be able to label, build, train, and deploy a custom machine learning model through a guided, hands-on approach.

Course Name: AWS Academy Engineering Operations Technician

Course Overview: AWS Academy Engineering Operations Technician is designed to help students develop technical expertise in engineering operations. This course is for learners enrolled in a data center operations, engineering, or information technology track in a STEM course at a higher education academic institution. This course also helps to re-skill professional learners.

Course Name: AWS Academy Data Center Technician

Course Overview: The AWS Academy Data Center Technician course is designed to help students develop technical expertise in data center operations. This course is for learners enrolled in a data center operations, engineering, or information technology track in a STEM course at a higher education academic institution. This course also helps to re-skill data center professional learners.

Course Name: AWS Academy Cloud Foundations

Course Overview: 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.

Course Name: AWS Academy Cloud Architecting

Course Overview: AWS Academy Cloud Architecting covers the fundamentals of building IT infrastructure on AWS. The course teaches students how to optimize use of the AWS Cloud by understanding AWS services and how they fit into cloud-based solutions.

Course Name: AWS Academy Cloud Developing

Course Overview: AWS Academy Cloud Developing is designed to help students gain technical expertise in development using cloud technologies and prepare them to take the AWS Certified Developer – Associate level AWS Certification exam. The curriculum is delivered through instructor-led classes, knowledge assessments, and hands-on labs. Students will also have access to course manuals, online knowledge assessments, a free practice certification exam, and a discount voucher for the certification exam.

Course Name: AWS Academy Cloud Operations

Course Overview: AWS Academy Cloud Operations is designed to prepare participants to pursue entry-level DevOps, support, and cloud operations roles. It will also help prepare them to take the AWS SysOps Administrator – Associate exam. Emphasizing best practices in the AWS Cloud and recommended design patterns, this course will teach students how to solve problems and troubleshoot various scenarios. The course will show students how to create automatable and repeatable deployments of networks and systems on AWS and covers specific AWS features and tools related to configuration and deployment. With case studies and demonstrations, students will learn how some AWS customers design their infrastructures and implement various strategies and services. Students will also have the opportunity to build a variety of infrastructures via guided, hands-on activities.

Course Name: AWS Academy Data Analytics

Course Overview: AWS Academy Data Analytics comprise lab exercises to support existing big data lectures and courses that an institution is teaching or plans to teach. It is designed to help students prepare for entry-level roles in data analysis and visualization. The course provides institutions with lab exercises that will teach students how to analyze large data sets, create visual representations of that data, and publish those representations to dashboards. The course uses a case study approach to provide students with the opportunity to experience creating a real-world application of big data analysis.

Course Name: AWS Academy Machine Learning for Natural Language Processing (NLP)

Course Overview: 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.