All course fees are in USD)

Course Description

In this AWS Big Data certification course, you will become familiar with the concepts of cloud computing and its deployment models. This AWS Big Data training covers Amazon’s AWS cloud platform, Kinesis Analytics, AWS big data storage, processing, analysis, visualization and security services, machine learning algorithms, and much more.

Offered in partnership with

Simplilearn

Course Delivery

• Blended learning, with both self-paced learning, and online virtual classes
• Course duration: 6 months

Benefits

• Real-life industry-based projects
• Flexibility to choose classes
• Live online virtual classes from our industry experts

Skills to be Learned

• AWS Quicksight
• Kinesis streams
• AWS Lambda and Glue
• s3 and DynamoDB
• Redshift
• Amazon RDS
• Hive on EMR
• HBase with EMR
• AWS Aurora

Award upon Successful Completion

AWS Data Analytics Certification Training “Certificate of Achievement” 

Awarding Organisation

Simplilearn

Learning Path

This online course would prepare you for Amazon AWS Certified Data Analytics – Specialty (DAS-C01) exam. For details, pls click here:

AWS Certified Data Analytics – Specialty Certification (amazon.com)

Learning Outcomes

When you complete this AWS Big Data Certification – Online Training, you will be able to:

• Understand how to use Amazon EMR for processing the data using Hadoop ecosystem tools
• Understand how to use Amazon Kinesis for big data processing in real-time
• Analyze and transform big data using Kinesis Streams
• Visualize data and perform queries using Amazon QuickSight

Assessments

Course-end Assessment

• Completion of the online course
• Attendance of live virtual classes
• Score of at least 80% on course-end assessment(s)
• Successful evaluation of the course-end projects

Projects

Use the big data stack for data engineering to analyze a stream of data coming from IoT temperature sensor devices in real time.

• Project – Transactional Data Analysis

Use the big data stack for data engineering for analysis of transactions, share patterns and actionable insights.

Who Should Enrol

• Data scientists
• Data engineers
• Solutions architects
• Data analysts

Prerequisites

Basic knowledge of AWS technical essentials and a fair understanding of big data and Hadoop concepts.

Course Overview

Lesson 1 – Introduction

Lesson 2 – Domain 01 – Collection

Lesson 3 – Domain 02 – Storage

Lesson 4 – Domain 03 – Processing

Lesson 5 – Domain 04 – Analysis

Lesson 6 – Domain 05 – Visualization

Lesson 7 – Domain 06 – Security

Lesson 8 – Everything Else

Lesson 9 – Preparing for the Exam

Lesson 10 – Appendix – Machine Learning

Lesson 11 – Wrapping Up

Course Advisor

Ronald van Loon

CEO, Principal Analyst Intelligent World,Top10 AI-Data-IoT-Influencer

Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.

Access Period of Course

1 year from date of enrolment

Customer Reviews

Angiras Modak

IIM Bangalore, Executive Management

…. prepared me with the skills to get ahead in my career. The course helped me to enhance my career from Senior Associate to Program Operations Manager at Sapient within 1 year of completing the course.

Ajinkya Gavi

Associate at Cognizant

….. Just 1 month of course along with sufficient practice landed me a job in a Top IT MNC. I never thought an experienced person can start as fresher in Bigdata, but … made it happen. Thank you.

Md Azhar Hussain

This platform has enhanced my knowledge of big data and provided me the opportunity to work with experienced industry professionals. I appreciate the tutor’s in-depth knowledge and, the help and support provided….. After the certification, I was able to grab a role change.

*Note:

Course fee quoted is for learner.  For Corporate Training, minimum class size of 50 learners.