Notice: AWS Trainings in January, 2021

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
Cloud Essentials
AWS Cloud Practitioner Essentials 19 January 9:00am – 2:00pm Register now
25 January 9:00am – 2:00pm Register now
Data Analytics
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
Machine Learning
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




Session Details:

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.