Notice: AWS Trainings in January, 2021
GEU has an ongoing collaboration with AWS Academy. To extend your learning about AWS, students are offered a complimentary place at the Live virtual AWS Trainings happening in January, 2021. Duration of these virtual sessions varies between 90 minutes to 5 hours and will provide an introduction to the topics from AWS Trainers. Majority of the foundation topics have 2 sessions
To confirm your registration, please select from one or several of the times below (all India Standard Time) and follow the registration links. Please register using your institute email.
Primary registration page with course details available here.
|Course||Date||Time (IST)||Register Now|
|AWS Cloud Practitioner Essentials||19 January||9:00am – 2:00pm||Register now|
|25 January||9:00am – 2:00pm||Register now|
|Big Data Fundamentals on AWS||18 January||9:00 AM – 10:30 AM||Register now|
|25 January||3:00 PM – 4:30 PM||Register now|
|How Amazon Sagemaker can Help||19 January||3:30pm – 5:00pm||Register now|
|22 January||9:00am – 10:30am||Register now|
Securing your AWS Cloud
|25 January||3:30pm – 5:00pm||Register now|
|AWS Certification Readiness|
|Exam Readiness AWS Certified: Cloud Practitioner||18 January||10:00am – 11:00am||Register now|
|Exam Readiness AWS Certified: Solutions Architect – Associate||20 January||10:00am – 2:00pm||Register now|
|Exam Readiness AWS Certified: SysOps Administrator – Associate||21 January||10:00am – 2:00pm||Register now|
|Exam Readiness AWS Certified: Developer Associate||22 January||10:00am – 2:00pm||Register now|
AWS Cloud Practitioner Essentials (5 hours):
This fundamental-level course is intended for individuals who seek an overall understanding of the AWS Cloud, independent of specific technical roles. It provides a detailed overview of cloud concepts, AWS services, security, architecture, pricing, and support. This course also helps you prepare for the AWS Certified Cloud Practitioner exam.
Big Data Fundamentals on AWS (90 mins):
In this session, you will learn about Big Data and basic architecture, value, and potential use cases. The course introduces you to specifics of some key technologies, including Apache Hadoop, Amazon EMR, Apache Hive, and Apache Pig. Although the course focuses on industry-standard Big Data solutions, you will learn about the AWS Big Data ecosystem, a set of services and solutions provided by AWS to build and enhance Big Data solutions.
How Amazon SageMaker Can Help (90 mins):
Learn how Amazon SageMaker mitigates the core challenges of implementing a machine learning pipeline. We’ll talk about how SageMaker notebooks and instances help power your ML workloads and review the key Amazon SageMaker features for dataset labeling, data visualization, built-in algorithms, model training/tuning and deployment.
Securing Your AWS Cloud (90 mins):
Whether you are thinking of migrating to the AWS Cloud or already have a workload running on AWS, securing your data and resources should be at the top of the list. This course introduces several AWS services that you can use to improve your current security posture. The course covers the different security design principles that will help you to plan your security approach in the AWS Cloud and provides information on resources you can use to further your knowledge around security on AWS.