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Be a Cloud Engineer

Presenting professional training on

Cloud Computing with AWS  

You will be acquainted with AWS products, services, and solutions with demos and hands-on labs. You will gain proficiency with the essential things to turn out to be increasingly capable in AWS and be enabled to settle on choices about solutions based upon business necessities.

This course focuses on best practices and common techniques used by AWS system administrators to help you utilize standard AWS infrastructure features such as Amazon Virtual Private Cloud (Amazon VPC), Amazon Elastic Compute Cloud (Amazon EC2), Elastic Load Balancing (ELB), and AWS Auto Scaling.


You will further learn:

  • Event-driven scaling
  • Disaster recovery and fail over strategies
  • Monitoring and Compliance Testing of AWS services
  • Best Practices to be followed while working with amazon web services
  • Making scalable, reliable and highly available infrastructures with AWS
  • Making decisions based on the AWS recommended architectural principles &             practices
View Course Outline Reserve Your Seat



To be announced soon


8 Weeks (Saturdays)


10:00AM to 06:00PM


Limited Seats Available

Meet the Instructors

Meet the trainer of this course who is an AWS specialist!


Mr. Asim Rashid

Certified Trainer Huawei & Oracle

Mr. Asim Rashid has 13+ years of technical experience in ICT industry. He is certified Oracle and Huawei Trainer & holds core expertise in Cloud and Big Data domain including Huawei Fusion Sphere Cloud Design, Implementation/Deployment, Fusion Compute & Open Stack Design, Implementation/Deployment and Administration.

Course Outline

Week 1: Cloud Computing, AWS, EC2

  • What is Cloud Computing
  • What is Serverless and How Does it Work
  • How Can We Use Serverless Computing
  • Benefits/Trade Offs
  • Introduction to AWS Services
  • Accessing AWS Services


– AWS Console


  • AWS Regions and Availability Zones
  • AWS Shared Responsibility Model
  • What is EC2
  • EC2 Machine Images (AMI)
  • Instance Types
  • EC2 User Data
  • EC2 Running Modes
  • AutoScaling Groups
  • Elastic Load Balancing
  • Elastic Block Store (EBS)
  • EBS Snapshots
  • Launch an EC2 Instance
  • Host Apache Web Server on EC2

Week 2: Elastic Beanstalk, Lambda, API Gateway, LightSail

  • What is Amazon Elastic Beanstalk
  • Benefits of AWS Elastic Beanstalk
  • AWS Elastic Beanstalk Components
  • AWS Elastic Beanstalk Architecture
  • Deploy an application on Beanstalk


  • What Is AWS Lambda
  • AWS Lambda Concepts


  • When Should I Use AWS Lambda
  • Lambda Use Cases
  • Deployment Packages
  • Monitoring
  • Generate S3 Thumbnails
  • Create Rest API
  • Deploying Lambda Using AWS CLI
  • Deploying Lambda Using AWS Console
  • Create ServerLess Web Application Using S3 & Lambda


  • What is API Gateway
  • Create REST Interface with Lambda and API Gateway


  • What is Amazon LightSail
  • Benefits of Amazon LightSail
  • Features of Amazon LightSail
  • Create Amazon Lightsail Instance

Week 3: S3, VPC, CloudFront

  • What is S3
  • S3 Concepts
  • Versioning
  • Bucket Policies
  • Encryption
  • Create an S3 Bucket
  • Host a static website on S3


  • What is VPC
  • Subnets
  • Internet Gateway
  • NAT
  • Security Groups & ACL
  • VPC Peering
  • VPC Endpoints
  • Connectivity Options
  • Build your VPC


  • What is CloudFront
  • Uses Cases
  • Web Distributions
  • Static Website With S3 And CloudFront

Week 4: RDS, DynamoDB, IAM

  • Introduction to AWS RDS
  • AWS RDS Features
  • RDS Offering e.g. MySQL, Aurora etc.
  • First Amazon RDS Database


  • What Is DynamoDB?
  • Comparing DynamoDB to Other Databases
  • Creating DynamoDB Tables
  • Creating Your First Table
  • DynamoDB Keys
  • Understanding Provisioned Throughput
  • Reading and Writing Data
  • Queries and Scans
  • Secondary Indexes
  • Introduction to Partitioning


  • What is Identity & Access Management?
  • Users, Groups & Roles
  • IAM Policies
  • Multi-Factor Authentication (MFA)
  • Identity Federation

Week 5: CloudTrail, Config, CloudWatch

  • What is AWS CloudTrail
  • How does AWS CloudTrail work
  • Monitoring with AWS CloudTrail


  • What is AWS Config
  • Key Components
  • Service Integration
  • Managing Compliance with AWS Config
  • AWS Config Use Cases


  • What is Amazon CloudWatch
  • Monitoring Amazon EC2
  • CloudWatch metrics for EC2
  • Understanding CloudWatch Logs
  • CloudWatch Alarms and Metric
  • CloudWatch Dashboards

Week 6: Big Data

  • What is Amazon EMR
  • Benefits
  • Architecture
  • Create EMR Cluster
  • Run a Script in a Cluster
  • Considerations and Best Practices


  • Introduction to Amazon Kinesis
  • Kinesis Streams
  • Kinesis Streams Core Concepts
  • Kinesis Firehose Architecture
  • Kinesis Firehose Core Concepts


  • What is AWS Glue
  • Benefits
  • Glue Components
  • How it works
  • Use Cases
  • Monitoring Jobs
  • First Glue Job


  • What is AWS Athena
  • Benefits
  • How it works
  • Uses Cases
  • Pricing
  • Querying Data on S3

Week 7: Amazon Machine Learning, CloudFormation

  • What is Amazon Machine Learning
  • Machine Learning Concepts
  • Amazon Machine Learning Key Concepts
  • Pricing
  • Build a Simple Machine Learning Model
  • What is Amazon Sagemaker
  • What is Amazon Rekognition
  • What is Amazon Lex
  • What is Amazon Polly
  • What is Amazon Comprehend
  • What is Amazon Transcribe


  • What is CloudFormation
  • The anatomy of a CloudFormation Template
  • Setting up our first CloudFormation Stack
  • Deployment of a Highly Available infrastructure
  • CloudFormation template configuration wizard
  • CloudFormation stack creation process

Week 8: Developer Tools, Containers, Project

  • What Is AWS Cloud9
  • What Can I Do with AWS Cloud9
  • How Does AWS Cloud9 Work
  • Python Sample for AWS Cloud9


  • Introduction to CI/CD
  • AWS CodeCommit
  • AWS CodeBuild
  • AWS CodeDeploy
  • CI/CD with AWS Code Services


  • What are Containers
  • What is Docker
  • What is ECS
  • What is EKS
  • What is AWS Fargate
  • Deploy a sample application


  • Project

Cloud Services


Price for an Individual
Rs 30,000 per person
Group of Two
7% Discount for a group of two people
Rs 27,900 per person
Group of Three
10% Discount for a group of Three people
Rs 27,000 per person
Group of Four
15% Discount for a group of four people
Rs 25,500 per person


Frequently Asked Questions

Who should attend the course?

Students, working professionals and all those who want to develop cloud-based applications using AWS.

Who are the Instructors?

What is the timing of the course?

Duration: 8 weeks

Class Day: Saturdays

Timings: 10:00 AM to 06:00 PM

Can I get a job after this course?

Since our instructors are industry experts so they do train the students about practical world and also recommend the shining students in industry for relevant positions.

Will I get a certificate after this course?

Yes, you will be awarded with a course completion certificate by Dice Analytics. We also keenly conduct an annual convocation for the appreciation and recognition of our students.

How much hands-on will be performed in this course?

Since our courses are led by Industry Experts so it is made sure that content covered in course is designed with hand on knowledge of more than 70-75 % along with supporting theory.

What are the PC requirements?

For Cloud Computing Professional course, you need to have a PC with minimum 4GB RAM.

How this course will be helpful for students?

This hands-on program will prepare and equip students with the in-demand skills required to become a successful Cloud Engineer and start a career in the growing and lucrative field of Cloud Computing.

How this course will be helpful for Working Professionals?

This course will equip working professionals with the best practices and actionable knowledge needed to put you and your organization aligned with advance cloud services.

Reserve your Seat

You can reserve your seat  by filling the form below!


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