AWS Big Data Certification Course Overview

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

AWS Big Data Training Key Features

  • 40 hours of Blended Learning
  • Real-life industry-based projects
  • 24/7 support with dedicated project mentoring sessions
  • Flexibility to choose classes
  • Dedicated mentoring session from our industry expert faculty members

Skills Covered

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

Training Options

Blended Learning

$ 799

  • 90 days of flexible access to online classes
  • Lifetime access to high-quality, self-paced learning content designed by industry experts
  • 24x7 learner assistance and support
  • Classes starting in Atlanta from:-
28th Aug: Weekday Class
25th Sep: Weekday Class

Corporate Training

Customized to your team's needs

  • Blended learning delivery model (self-paced e-learning and/or instructor-led options)
  • Course, category, and all-access pricing
  • Enterprise-class learning management system (LMS)
  • Enhanced reporting for individuals and teams
  • 24x7 teaching assistance and support

AWS Big Data Course Curriculum

Eligibility

This AWS Big Data certification course in Atlanta is well-suited for experienced technology professionals who want to excel in the data engineering space.
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Pre-requisites

Participants in this AWS Big Data certification course in Atlanta should have basic knowledge of AWS technical essentials and a fair understanding of big data and Hadoop concepts.
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Course Content

  • Section 1 - Self-paced Curriculum

    Preview
    • Lesson 1 Big Data on AWS Certification Course Overview

      07:01Preview
      • Overview of Big Data on AWS Certification Course
        04:22
      • 2.Course Introduction
        02:39
    • Lesson 2 - Big Data on AWS Introduction

      50:23Preview
      • 1. Learning Objective
        00:53
      • 2.Cloud computing and it's advantages
        03:29
      • 3.Cloud Computing Models
        05:02
      • 4.Cloud Service Categories
        04:18
      • 5. AWS Cloud Platform
        03:54
      • 6.Design Principles - Part One
        04:16
      • 7. Design Principles - Part Two
        03:57
      • 8.Why AWS for Big Data - Reasons and Challenges
        01:48
      • 9.Databases in AWS
        06:47
      • 10.Data Warehousing in AWS
        02:00
      • 11.Redshift, Kinesis and EMR
        05:33
      • 12.DynamoDB, Machine Learning and Lambda
        05:01
      • 13.Elastic Search Services and EC2
        02:51
      • 14.Key Takeaways
        00:34
    • Lesson 3 - AWS Big Data Collection Services

      53:48Preview
      • 1.Learning Objective
        00:54
      • 2.Amazon Kinesis and Kinesis Stream
        02:42
      • 3.Kinesis Data Stream Architecture and Core Components
        04:01
      • 4.Data Producer
        04:45
      • 5.Data Consumer
        03:11
      • 6.Kinesis Stream Emitting Data to AWS Services and Kinesis Connector Library
        04:30
      • 7.Kinesis Firehose
        06:20
      • 8.Transferring Data Using Lambda
        04:35
      • 9.Amazon SQS, Lifecycle and Architecture
        06:25
      • 10.IoT and Big Data
        03:25
      • 11.IoT Framework
        04:21
      • 12.AWS Data Pipelines and Data Nodes
        05:08
      • 13.Activity, Pre-condition and Schedule
        02:47
      • 14Key Takeaways
        00:44
    • Lesson 4 - AWS Big Data Storage Services

      36:51Preview
      • 1.Learning Objective
        00:33
      • 2.Amazon Glacier and Big Data
        03:49
      • 3.DynamoDB Introduction
        05:41
      • 4.DynamoDB and EMR
        01:41
      • 5.DynamoDB Partitions and Distributions
        04:08
      • 6.DynamoDB GSI LSI
        02:55
      • 7.DynamoDB Stream and Cross Region Replication
        04:06
      • 8.DynamoDB Performance and Partition Key Selection
        03:24
      • 9.Snowball and AWS Big Data
        01:14
      • 10.AWS DMS
        01:23
      • 11.AWS Aurora in Big Data
        03:24
      • 12.Demo - Amazon Athena Interactive SQL Queries for Data in Amazon S3 – Part 2
        03:59
      • 13.Key Takeaways
        00:34
    • Lesson 5 - AWS Big Data Processing Services

      49:39Preview
      • 1.Learning Objective
        00:42
      • 2.Amazon EMR
        03:41
      • 3.Apache Hadoop
        04:10
      • 4.EMR Architecture
        06:53
      • 5.EMR Releases and Cluster
        02:12
      • 6.Choosing Instance and Monitoring
        06:07
      • 7.Demo - Advance EMR Setting Options
        03:30
      • 8.Hive on EMR
        01:06
      • 9.HBase with EMR
        05:50
      • 10.Presto with EMR
        02:07
      • 11.Spark with EMR
        06:12
      • 12.EMR File Storage
        02:48
      • 13.AWS Lambda
        03:49
      • 14.Key Takeaways
        00:32
    • Lesson 6 - Analysis

      59:48Preview
      • 1.Learning Objective
        00:44
      • 2.Redshift Intro and Use cases
        03:02
      • 3.Redshift Architecture
        06:17
      • 4.MPP and Redshift in AWS Eco-System
        05:13
      • 5.Columnar Databases
        03:37
      • 6.Redshift Table Design - Part 2
        05:06
      • 7.Demo - Redshift Maintenance and Operations
        01:44
      • 8.Machine Learning Introduction
        04:02
      • 9.Machine Learning Algorithm
        04:09
      • 10.Amazon SageMaker
        00:57
      • 11.Amazon Elasticsearch
        04:34
      • 12.Amazon Elasticsearch Services
        05:22
      • 13.Demo - Loading Dataset into Elasticsearch
        01:18
      • 14.Logstash and R Studio
        01:51
      • 15.Demo - Fetching the File and Analyzing it using RStudio
        03:48
      • 16.Athena
        02:41
      • 17.Demo - Running Query on S3 using the Serverless Athena
        04:57
      • 18.Key Takeaways
        00:26
    • Lesson 7 - Visualization

      15:36Preview
      • 1.Learning Objective
        00:37
      • 2. Introduction to Amazon QuickSight
        04:57
      • 3.Visual Types
        03:48
      • 4.Story
        02:15
      • 5.Big Data Visualization
        03:33
      • 6.Key Takeaways
        00:26
    • Lesson 8 - Security

      21:11Preview
      • 1.Learning Objective
        00:40
      • 2.EMR Security and Security Group
        02:19
      • 3.Roles and Private Subnet
        02:27
      • 4.Encryption at Rest and In-transit
        03:09
      • 5.Redshift Security
        05:33
      • 6.Encryption at Rest using HSM
        02:39
      • 7.Cloud HSM vs AWS KMS
        02:32
      • 8.Limit Data Access
        01:24
      • 9.Key Takeaways
        00:28
  • Section 2 - Live Virtual Class Curriculum

    Preview
    • Lesson 01 - Course Introduction

      • Overview of AWS Certified Data Analytics - Speciality Course
      • Overview of the Certification
      • Overview of the Course
      • Project highlights
      • Course Completion Criteria
    • Lesson 02 AWS in Big Data Introduction

      • Introduction to Cloud Computing
      • Cloud Computing Deployments Models
      • Types of Cloud Computing Services
      • AWS Fundamentals
      • AWS Cloud Economics
      • AWS Virtuous Cycle
      • AWS Cloud Architecture Design Principles
      • Why AWS for Big Data - Challenges
      • Databases in AWS
      • Relational vs Non Relational Databases
      • Data Warehousing in AWS
      • AWS Services for collecting, processing, storing, and analyzing big data
      • Key Takeaways
      • Deploy a Data Warehouse Using Amazon Redshift
    • Lesson 03 Collection

      • AWS Big Data Collection Services
      • Fundamentals of Amazon Kinesis
      • Loading Data into Kinesis Stream
      • Assisted Practice: Loading Data into Amazon Storage
      • Kinesis Data Stream High-Level Architecture
      • Kinesis Stream Core Concepts
      • AWS Services and Amazon Kinesis Data Stream
      • How to Put Data into Kinesis Stream?
      • Kinesis Connector Library
      • Amazon Kinesis Data Firehose
      • Assisted Practice: Transfer Data into Delivery Stream using Firehose
      • Assisted Practice: Transfer VPC Flow log to Splunk using Firehose
      • Data Transfer using AWS Lambda
      • Assisted Practice: Backing up data in Amazon S3 using AWS Lambda
      • Amazon SQS
      • IoT and Big Data
      • Amazon IoT Greengrass
      • AWS Data Pipeline
      • Components of Data Pipeline
      • Assisted Practice: Export MySQL Data to Amazon S3 Using AWS Data Pipeline
      • Key Takeaways
      • Streaming Data with Kinesis Data Analytics
    • Lesson 04 Storage

      • AWS Bigdata Storage services
      • Data lakes and Analytics
      • Data Management
      • Data Life Cycle
      • Fundamentals of Amazon Glacier
      • Glacier and Big Data
      • DynamoDB Introduction
      • DynamoDB: Core Components
      • Assisted Practice: Perform operations on DynamoDB table
      • DynamoDB in AWS Eco-System
      • DynamoDB Partitions
      • Data Distribution
      • DynamoDB GSI and LSI
      • DynamoDB Streams
      • Use cases: Capturing Table Activity with DynamoDB Streams
      • Cross-Region Replication
      • Assisted Practice: Create a Global Table using DynamoDB
      • DynamoDB Performance: Deep Dive
      • Partition Key Selection
      • Snowball & AWS BigData
      • Assisted Practice: Data Migration using AWS Snowball
      • AWS DMS
      • AWS Aurora in BigData
      • Assisted Practice: Create and Modify Aurora DB Cluster
      • Storing and Retrieving the Data from DynamoDB
    • Lesson 05 Processing I

      • AWS Bigdata Processing Services
      • Overview of Amazon Elastic MapReduce (EMR)
      • EMR Cluster Architecture
      • Apache Hadoop
      • Apache Hadoop Architecture
      • Storage Options
      • EMR Operations
      • AWS Cluster
      • Assisted Practice: Create a cluster in S3
      • Assisted Practice: Monitor a Cluster in S3
      • Using Hue with EMR
      • Assisted Practice: Launch HUE Web Interface on Amazon EMR
      • Setup Hue for LDAP
      • Assisted Practice: Configure HUE for LDAP Users
      • Hive on EMR
      • Assisted Practice: Set Up a Hive Table to Run Hive Commands
      • Key Takeaways
    • Lesson 06: Processing II

      • Using HBase with EMR
      • HBase Architecture
      • Assisted Practice: Create a cluster with HBase
      • HBase and EMRFS
      • Presto with EMR
      • Presto Architecture
      • Fundamentals of Apache Spark
      • Apache Spark Architecture
      • Assisted Practice: Create a cluster with Spark
      • Apache Spark Integration with EMR
      • Fundamentals of EMR File System
      • Amazon Simple Workflow
      • AWS Lambda in Big Data Ecosystem
      • AWS Lambda and Kinesis Stream
      • AWS Lambda and RedShift
      • HCatalog
      • Key Takeaways
      • Real-Time Application with Apache Spark and AWS EMR
    • Lesson 07 ETL with Redshift

      • Introduction to AWS Bigdata Analysis Services
      • Fundamentals of Amazon Redshift
      • Amazon RedShift Architecture
      • Assisted Practice: Launch a Cluster, Load Dataset, and Execute Queries
      • RedShift in the AWS Ecosystem
      • Columnar Databases
      • Assisted Practice: Monitor RedShift Maintenance and Operations
      • RedShift Table Design
      • Choosing the Distribution Style
      • Redshift Data types
      • RedShift Data Loading
      • COPY Command for Data Loading
      • RedShift Loading Data
      • Key Takeaways
    • Lesson 08: Analysis with Machine Learning

      • Fundamentals of Machine Learning
      • Workflow of Amazon Machine Learning
      • Use cases
      • Machine learning Algorithms
      • Amazon SageMaker
      • Machine learning with Amazon Sagemaker
      • Assisted Practice: Build, Train, and Deploy a Machine Learning Model
      • Elasticsearch
      • Amazon Elasticsearch Service
      • Zone Awareness
      • Logstash
      • RStudio
      • Assisted Practice: Fetch the File and Run Analysis using RStudio
      • Amazon Athena
      • Assisted Practice: Execute Interactive SQL Queries in Athena
      • AWS Glue
      • Key Takeaways
      • Fraud Detection Using Classification Algorithms on AWS Sagemaker
    • Lesson 09 Analysis and Visualization

      • Introduction to AWS Bigdata Visualization Services
      • Amazon QuickSight
      • Amazon QuickSight - Workflow and Use Cases
      • Assisted Practice: Analyze the marketing campaign
      • Working with data
      • Assisted Practice: Analyze the marketing campaign using data from Amazon S3
      • Assisted Practice: Analyze the marketing campaign using data from Presto
      • Amazon QuickSight: Visualization
      • Assisted Practice: Create Visuals
      • Amazon QuickSight: Stories
      • Assisted Practice: Create a Storyboard
      • Amazon QuickSight: Dashboard
      • Assisted Practice: Create a Dashboard
      • Data Visualization: Other Tools
      • Kibana
      • Assisted Practice: Create a Dashboard on Kibana
      • Key Takeaways
      • Exploratory Data Analysis Using AWS QuickSight
    • Lesson 10: Security

      • Introduction to AWS Bigdata Security
      • EMR Security
      • EMR Security: Best Practices
      • Roles
      • Fundamentals of Redshift Security
      • Data Protection and Encryption
      • Master Key, Encryption, and Decryption Process
      • Amazon Redshift Database Encryption
      • Key Management Services(KMS) Overview
      • Encryption using Hardware Security Modules
      • STS and Cross Account Access
      • Cloud Trail
      • Key Takeaways
  • Practice Projects

    Preview
    • Practice Projects

      • Real-time Analytics on Streaming Data
      • Truegate S3 Replication Big Data Assignment
  • Free Course
  • AWS Technical Essentials

    Preview
    • Lesson 01 Introduction to Cloud Computing

      01:31:19Preview
      • 01 Course Introduction - Simplilearn
        01:45
      • 02 Course Agenda
        02:46
      • 03 Need for Cloud Computing
        12:31
      • 04 what is cloud computing? - A
        05:24
      • 05 What is Cloud Computing? - B
        05:56
      • 06 What is Cloud Made up of?
        12:01
      • 07 benefits of cloud computing
        09:11
      • 08 Key concepts and Terminology
        05:38
      • 09 Economies of scale
        01:20
      • 10 capex vs opex
        02:54
      • 11 What is a Public cloud
        01:46
      • 12 characteristics of Public Cloud
        01:21
      • 13 What is Private CLoud?
        01:22
      • 14 Characteristics of Private CLoud
        01:34
      • 15 What is Hybrid cloud?
        01:01
      • 16 Characteristics of Hybrid CLoud
        01:11
      • 17 review and what next
        00:29
      • 18 What is IAAS?
        03:54
      • 19 Use cases of IAAS
        01:45
      • 20 what is paas?
        02:06
      • 21 Use Cases of PAAS
        03:35
      • 22 What is saas?
        02:28
      • 23 What is Shared Responsibility Model?
        09:21
    • Lesson 02 First Steps into Amazon Web Services

      29:20
      • 1 Foot Prints of Amazon Web Services - Datacenters
        13:58
      • 2 AWS Console Tour
        09:32
      • 3 Free access to AWS
        02:58
      • 4 Creating a Free AWS Account
        02:52
    • Lesson 03 Identity and Access Management (IAM)

      27:16Preview
      • 1 Identity Access Management ( IAM ) - Part A
        08:50
      • 2 Identity Access Management ( IAM ) - Part B
        03:19
      • 3 Identity Access Management ( IAM ) - Part C
        08:23
      • 4 Identity Access Management ( IAM ) - Part D
        04:19
      • 5 Identity Access Management ( IAM ) - Part E
        02:25
    • Lesson 04 Networking in AWS - Virtual Private Clouds

      40:46Preview
      • 1 Networking Fundamentals - Part A
        03:58
      • 2 Networking Fundamentals - Part B
        08:06
      • 3 Conceptial Overview of VPC
        04:45
      • 4 AWS VPC - Walkthrough
        16:51
      • 5 NACLS and Security Groups
        07:06
    • Lesson 05 Elastic Compute Cloud (EC2)

      55:31Preview
      • 1 What is Compute
        04:42
      • 2 AWS Compute Services
        13:25
      • 3 EC2 Instance - Lab Activity
        23:05
      • 4 EC2- Connecting to Windows Machine
        06:29
      • 5 Ec2 Instance - Linux Instance
        07:50
    • Lesson 06 AWS Storage

      45:25Preview
      • 1 Storage Fundamentals
        08:21
      • 2 AWS S3 - Simple Storage Services
        11:32
      • 3 AWS S3 - Simple Storage Services - B
        06:25
      • 4 AWS S3 Storage Classes and Data Lifecycle
        13:10
      • 5 AWS Storage Gateway
        05:57
    • Lesson 07 Load Balancing and Autoscaling

      14:12Preview
      • 1 AutoScaling
        06:01
      • 2 Elastic Load Balancer Lab
        03:51
      • 3 Load balancing and Autoscaling Introduction
        04:20
    • Lesson 08 DNS and Content Delivery Networks

      23:40
      • 1 Route 53
        12:16
      • 2 Cloud Front
        11:24
    • Lesson 09 Monitoring, Auditing and Alerts

      45:04Preview
      • 1 Cloud Watch
        15:47
      • 2 Cloud Trail
        05:53
      • 3 Simple Notification Services
        07:46
      • 4 AWS Config
        03:32
      • 5 AWS Config LAB
        09:50
      • 6 AWS CloudTrail vs. CloudWatch vs. Config
        02:16
    • Lesson 10 Databases

      18:22
      • 1 SQL - RDS
        09:34
      • 2 NO SQL Dynamo DB
        04:20
      • 3 ElastiCache and Redis
        04:28
    • Lesson 11 Serverless Computing

      05:34
      • 1 AWS Lambda
        05:34
    • Lesson 12 Security and Compliance

      15:04Preview
      • 1 Shared Responsibilty Model
        05:06
      • 2 Security and Compliance Services
        07:39
      • 3 AWS KMS
        02:19
    • Lesson 13 AWS Pricing, Billing, and Support Services

      29:02Preview
      • 1 AWS organizations
        03:00
      • 2 AWS Organizations - Lab Demonstration
        07:43
      • 3 AWS Pricing
        05:16
      • 4 AWS Billing and Cost Tools
        04:24
      • 4 AWS Support Plans and Trusted Advisor
        05:51
      • 5 AWS Whitepapers
        02:48
    • Lesson 14 Conclusion

      02:31
      • 1 Course Conclusion
        02:31
    • Practice Project

      • AWS Tech Essentials Project – Media

Industry Project

  • Project 1

    RealTime Analytics on Streaming Data with Amazon Kinesis and Amazon Elasticsearch Service

    Assist Facebook to do a continuous monitoring system to detect sentiment changes in a social media feed to react to the sentiment in near real time.

  • Project 2

    Real Time Analytics on Streaming Data

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

  • Project 3

    Transactional Data Analysis

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

AWS Big Data Course Advisor

  • Ronald van Loon

    Ronald van Loon

    Top 10 Big Data and Data Science Influencer, Director - Adversitement

    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.

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AWS Big Data Exam & Certification

AWS Big Data Certification Training in Atlanta
  • Who provides the certification?

    Upon successful completion of the AWS Big Data certification training in Atlanta, you will be awarded the course completion certificate from Simplilearn.

  • What do I need to do to unlock my Simplilearn certificate?

    Online Classroom:

    • Attend one complete batch of AWS Big Data certification training in Atlanta
    • Complete one project and one simulation test with a minimum score of 80%

  • How long does it take to complete the AWS Big Data certification course?

    It will take about 40-45 hours to successfully complete the AWS Big Data certification course.

  • How long is the AWS Big Data certification training course certificate from Simplilearn valid for?

    The AWS Big Data certification training course certificate from Simplilearn has lifelong validity.

  • How to become an AWS Data Engineer?

    You need to achieve the AWS Certified Data Analytics - Specialty (formerly known as AWS Certified Big Data - Specialty) certification to become an AWS Data Engineer. Our AWS Big Data certification training course in Atlanta will help you learn about AWS and Big Data Analytics from scratch and successfully pass the certification exam.

  • What is the cost of the AWS Data Analytics - Specialty (DAS-C01) certification exam?

    The cost of the AWS Certified Data Analytics - Specialty (DAS-C01) exam is USD 300.

  • What is the duration to complete the DAS-C01 AWS Data Analytics -Speciality certification exam?

    The time allowed to complete the DAS-C01 exam is 170 minutes.

Why Simplilearn

Simplilearn’s Blended Learning model brings classroom learning experience online with its world-class LMS. It combines instructor-led training, self-paced learning and personalized mentoring to provide an immersive learning experience.

  • Self-Paced Online Video

    A 360-degree learning approach that you can adapt to your learning style

  • Live Virtual Classroom

    Engage and learn more with these live and highly-interactive classes alongside your peers

  • 24/7 Teaching Assistance

    Keep engaged with integrated teaching assistance in your desktop and mobile learning

  • Online Practice Labs

    Projects provide you with sample work to show prospective employers

  • Applied Projects

    Real-world projects relevant to what you’re learning throughout the program

  • Learner Social Forums

    A support team focused on helping you succeed alongside a peer community

AWS Big Data Training FAQs

  • What is Big Data on AWS?

    Big Data on AWS is all about fitting AWS solutions inside a Big Data ecosystem. It includes knowledge of cloud-based Big data solutions such as Amazon EMR, Amazon Kinesis, Amazon Redshift, and Amazon Athena. Moreover, you’ll understand how to leverage best practices for designing Big Data environments for security, analysis, and cost-effectiveness.

  • How can beginners learn Big Data on AWS?

    Beginners who are interested to learn how to build Big Data solutions on AWS can get started by referring to project guides, tutorials, or guided labs offered by AWS. However, this AWS Big Data certification training is curated for beginners, and enrolling in it can help you learn all the important concepts clearly.

  • Are the training and course material effective in preparing for the DAS-CO1 AWS Data Analytics -Speciality certification exam?

    Yes, the training and course material offered by Simplilearn is aligned with the exam changes introduced by AWS and assist you in preparing for the DAS-C01 exam.

  • How do I enroll for the AWS Big Data certification training?

    You can enroll for this AWS Big Data certification training on our website and make an online payment using any of the following options:

    • Visa Credit or Debit Card
    • MasterCard
    • American Express
    • Diner’s Club
    • PayPal 

    Once payment is received, you will automatically receive a payment receipt and access information via email.

  • What is included with the AWS Big Data certification training?

    You will get access to our e-learning content, practice simulation tests, and an online participant handbook that cross-references the e-learning to reinforce what you’ve learned.

  • What is online classroom training?

    Online classroom training for the AWS Big Data certification course is conducted via online live streaming of each class. The classes are conducted by an AWS Big Data certified trainer with more than 15 years of work and training experience.

  • What if I miss a class?

    Simplilearn provides recordings of each AWS Big Data training classes so you can review them as needed before the next session. With Flexi-Pass, Simplilearn gives you access to all classes for 90 days so that you have the flexibility to choose sessions at your convenience.

  • Who are the instructors and how are they selected?

    All of our highly qualified AWS trainers are industry experts with years of relevant industry experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.

  • What is Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts motivated to help you get certified on your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Global Teaching Assistance is available during regular business hours.

  • What is covered under the 24/7 Support Promise?

    We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you’ll have lifetime access to the community forum, even after you complete your course.

  • Who can I contact to learn more about this AWS Big Data course?

    Please contact us using the form on the right of any page on the Simplilearn website, or select the Live Chat link. Our customer service representatives will be able to give you more details.

  • Can I cancel my enrolment? Do I get a refund?

    Yes, you can cancel your enrolment. We provide a complete refund after deducting the administration fee. To know more, please go through our Refund Policy.

Our Atlanta Correspondence / Mailing address

Simplilearn's AWS Big Data Certification Training Course in Atlanta | Address: 3348 Peachtree Road NE, Suite 700, Atlanta, GA - 30326, United States of America | Call us @ +1-844-532-7688

  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.