COURSE DESCRIPTION
The AWS training program is a six-month training designed to prepare IT career aspirants for four career options within the Cloud Space. Our training package prepares you for Solutions Architect, Cloud Engineer, DevOps Engineer and Security Architect/Engineer roles. The program is well tailored for those with little or no IT knowledge/experience. You will be trained from the basics of using your laptop and mature to a sophisticated Cloud professional!
In addition to the training, we prep you for interviews and work with you to develop a resume that outlines the skills you acquire during the training.
Further, the training equips you for the following certification exams:
1. AWS Solutions Architect Associate
2. AWS Solutions Architect Professional
3. AWS DevOps Engineer.
Our end-to-end training is offered at a discounted rate of $2500, with the option to pay by installment; starting with a deposit of $1000. The remaining balance to be paid in $500 monthly installments.
For a detailed curriculum and training schedule, please refer to our latest technology stack.
COURSE PREREQUSITES
You do not need to have an IT background to take this course as you will be guided step by step from the beginning through the end. All the necessary information will be provided during the duration of the course. Just need to have the hunger to succeed.
LEARNING OUTCOMES
- AWS Foundational Services
- Cloud Orchestration / Automation
- Governance and Compliance
- Data Analytics
- AWS Security, Identity and Compliance
- Migrating to AWS
- Cost Transparency, Control, Forecasting and Optimization
- AWS Technical Professional
- AWS Cloud Economics
- AWS Business Professional
- Application Delivery – SDLC Automation
- Agile and Jira
- Linux
Course Features
- Lectures 102
- Quizzes 0
- Duration 25 weeks
- Skill level All levels
- Language English
- Students 66
- Certificate No
- Assessments Yes
Curriculum
- 13 Sections
- 102 Lessons
- 25 Weeks
- AWS Foundational Services5
- Cloud Orchestration / Automation12
- Governance and Compliance1
- Data Analytics7
- 4.0Market Opportunity
- 4.1Data Analytics Solutions on AWS
- 4.2AWS Data Analytics Portfolio
- 4.3AWS Data Analytics Solutions – Part I
- 4.4Activity 1: Lab Demonstration – Serverless Data Lake Using AWS Glue, Amazon Athena, and Amazon QuickSight
- 4.5AWS Data Analytics Solutions – Part II
- 4.6AWS Technical Engagement Strategies
- AWS Security, Identity and Compliance1
- Migrating to AWS1
- Cost Transparency, Control, Forecasting and Optimization17
- 7.0AWS Cost Explorer
- 7.1AWS Cost & Usage Report
- 7.2Consolidated billing for AWS
- 7.3Organizations
- 7.4AWS Purchase Order Management
- 7.5AWS Cost Anomaly Detection
- 7.6AWS Budgets
- 7.7Reserved Instances
- 7.8Savings Plans
- 7.9Amazon EC2 Spot Instances
- 7.10Amazon DynamoDB pricing
- 7.11AWS Instance Scheduler
- 7.12Amazon EC2 Auto Scaling
- 7.13AWS Trusted Advisor
- 7.14Right Sizing
- 7.15AWS Compute Optimizer
- 7.16Amazon S3 Intelligent-Tiering
- AWS Technical Professional5
- AWS Cloud Economics8
- AWS Business Professional4
- Application Delivery - SDLC Automation27
- 11.0Understanding CI & CD
- 11.1Continuous Integration Goals
- 11.2Continuous delivery
- 11.3Continuous deployment goals
- 11.4Immutable infrastructure
- 11.5AWS Code services
- 11.6Options for source code management
- 11.7Branching off master AWS CodeBuild Intro
- 11.8Creating a Build Spec YAML file
- 11.9Jenkins as CI Server

- 11.10AWS CodeDeploy
- 11.11AppSpec file
- 11.12Understanding revisions
- 11.13AWS CodePipeline Intro
- 11.14AWS CodePipeline Actions

- 11.15Using AWS Lambda in a Pipeline
- 11.16Testing Pyramid
,Continuous Testing with IaC
Testing Scenarios in a CI/CD Pipeline
- 11.17Best Practices for unit test 

- 11.18Integration tests and unit tests 

- 11.19Fault tolerance testing 

- 11.20In-place deployments 

- 11.21Rolling updates 

- 11.22Rolling updates – canary 

- 11.23Blue/green deployment 

- 11.24Red-black deployment 

- 11.25Immutable or disposal updates 

- 11.26Application deployment strategies 

- Agile and Jira5
- Linux9
- 13.0Introduction to the command line
- 13.1Managing physical storage
- 13.2Install and configure software components and services
- 13.3Monitor and manage running processes
- 13.4Manage and secure files and file systems
- 13.5Administer users and groups
- 13.6Review the system log files and journal for issues
- 13.7Troubleshoot problems and analyze systems with Red Hat Insights
- 13.8Remotely manage systems with SSH