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Expanding AWS Adoption



Course Number



4 Days

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Cloud solutions are constantly evolving to provide a more complete platform for cloud computing. Learn to use new features and functionality so that you can efficiently operate your infrastructure and applications with Amazon Web Services (AWS). Building on your foundational knowledge or practical experience of AWS, this course expands your ability to increase use of the largest cloud vendor in the world.

You Will Learn How To

  • Execute code (actions) based on events and triggers with AWS Lambda
  • Share volumes across instances and availability zones with AWS EFS
  • Leverage CloudFormation templates to simplify and streamline deployment
  • Deploy Elastic Map Reduce (EMR) clusters to process large datasets Query data in S3 with AWS Athena

Important Course Information


  • Knowledge at the level of Course 1205, Amazon Web Services (AWS)

Recommended Experience:

  • Attendees should have working knowledge of AWS EC2, VPC, and S3


  • AWS Accounts will be provided to attendees for use during the course

Course Outline

  • Managing Access and Storage

Auditing and monitoring

  • Tracking user activity and usage with CloudTrail
  • Controlling access with IAM roles
  • Monitoring RDS databases with RDS enhanced monitoring

Managing data stored in the cloud

  • Automatically change data storage class and archive data with S3 Lifecycle
  • Mounting EFS volumes to multiple instances across availability zones
  • Simplifying Your Infrastructure

Deploying resources with CloudFormation

  • Creating CloudFormation templates to define a collection of AWS resources
  • Streamlining deployment of resources and any associated dependencies

Executing custom actions based on events

  • Detecting configuration changes and verifying compliance with AWS Config
  • Invoking code with AWS Lambda
  • Implementing scheduled or 'cron' jobs with AWS Lamdba
  • Reducing required resources and monthly costs
  • Leveraging AWS for Big Data Processing and Analysis

Deploying Hadoop and Spark clusters on AWS EMR

  • Creating a Spark Cluster and executing a PySpark application
  • Configuring bootstrap actions to initialize an EMR cluster
  • Running Jupyter Notebooks on an EMR cluster

Analyzing large data sets without deploying clusters

  • Querying data in S3 with Athena
  • Using standard SQL to analyze CSV and JSON data
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Convenient Ways to Attend This Instructor-Led Course

Hassle-Free Enrolment: No advance payment required to reserve your seat.
Tuition due 30 days after you attend your course.

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Tuition — Standard: $3285   Government: $2890

Jan 2 - 5 (4 Days)
9:00 AM - 4:30 PM EST
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Course Tuition Includes:

After-Course Instructor Coaching
When you return to work, you are entitled to schedule a free coaching session with your instructor for help and guidance as you apply your new skills.

After-Course Computing Sandbox
You'll be given remote access to a preconfigured virtual machine for you to redo your hands-on exercises, develop/test new code, and experiment with the same software used in your course.

Free Course Exam
You can take your Learning Tree course exam on the last day of your course or online at any time after class and receive a Certificate of Achievement with the designation "Awarded with Distinction."


Training Hours

Standard Course Hours:9:00 am – 4:30 pm

FREE Online Course Exam (if applicable) – Last Day:3:30 pm – 4:30 pm

By successfully completing your FREE online course exam, you will:

  • Earn College Credit Units — Many Learning Tree courses are recommended for College Credits, which are accepted by over 2,000 colleges and universities, and may qualify you to receive Tuition Reimbursement.
  • Receive a Certificate of Achievement with the designation "Awarded with Distinction."

Each Course Day - Informal discussion with instructor about your projects or areas of special interest:4:30 pm – 5:30 pm

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