After the completion of the AWS Developer at LearnFromGuru, you will be able to:
a) Understand the cloud concepts
b) AWS services and operations
c) Create / configure each service
d) Real time scenarios on high availability / auto scaling
e) Monitoring AWS services
f) Big data & Analytic’s
h) Automation’s using Java SDK/ AWS CLI i) Day to day cloud operations & maintenance of applications & services.
- Anyone who has a good understanding of any one high-level programming level can join this program.
1. AWS Cloud Essentials An overview
Learning Objectives – In this, you will understand overview of cloud, types of cloud services, cloud models, features of cloud, different cloud vendors
Topics – Basic overview of the cloud, Different types of cloud models, Different types of cloud services, Different vendors of cloud implementation, Why to choose AWS?, Features of AWS and key offerings, Who is using AWS/customers, Real time Use-cases, Opportunities in Cloud / Market.
2. AWS Fundamentals
Learning Objectives – In this module, you will understand the list of AWS services, overview on the each service and its usage along with examples/use cases.
Topics – AWS service catalogue, AWS Paradigm, AWS console Overview of below services along with usage, Compute Service, Storage Service, Database Service, Content Delivery Service, Network Service, Application Service, Deploy & Management Service.
3. AWS Console and Usage
Learning Objectives – In this module, you will learn about how to use AWS console and different options available for each service.
Topics – AWS console, explain each service visually over the console, Compute Service, Storage Service, Database Service, Content Delivery Service, Network Service, Application Service, Deploy & Management Service.
4. AWS Software Development Kit and command line tool kit
Learning Objectives -In this module, you will learn about installing and configuring the Java SDK kit and command line tool kit (AWS CLI) and basic commands
Topics – AWS Java SDK Kit, Step by step Java SDK installation, Configuration, develop sample java program and access AWS resources, AWS CLI tool kit, Step by step Java SDK installation, Configuration, Develop sample java program and access AWS resources.
5. Monitoring and Metrics
Learning Objectives – In this module, you will learn how to enable monitoring and configuring the cloud watch metrics
Topics – Demonstrate ability to monitor availability and performance, Creating Cloud Watch Alarms, Installing And Configuring Monitoring Scripts for Amazon EC2 Instances, Elastic Compute Cloud (EC2) Instance and System Status Checks, Monitoring EBS For Performance And Availability, Monitoring RDS For Performance And Availability, Monitoring The Elastic Load Balancer For Performance And Availability, Demonstrate ability to monitor and manage billing and cost optimization processes, AWS Billing And Linking AWS Accounts, AWS Billing Dimensions and Metrics For Cloud Watch.
6. High Availability
Learning Objectives – In this module, you will learn how to enable high availability and related concepts
Topics – Implement scalability and elasticity based on scenario, Scalability And Elasticity Essentials, Determining Reserved Instance Purchases Based Off Business Needs, Elastic Load
Balancer, Auto scaling , What is auto scaling and where to use, how to configure auto scaling & auto scaling groups, Demo on scale up and scale down scenarios, Ensure level of fault tolerance based on business needs, High Availability by using Elastic IP Addresses, Understanding RDS Multi-AZ Failover.
7. Analysis and Data Management
Learning Objectives – In this module, you will learn how to use storage services and enable fault tolerance to achieve 99.9 % data consistency and durability.
Topics – Different storage services, how to create and attach EBS volumes, EBS Root Devices On Terminated Instances – Ensuring Data Durability, What is Ephemeral storage? what is the usage? how create and attach s3 bucket, Demonstrate ability to create backups for different services ( EC2 & RD, how to create a customized AMI, How to take a snapshot and reuse the AMI, How to take a backup of the RDS instance, How to enable to auto snapshots for the RDS instance, Managing Backup And Disaster Recovery Processes, Quickly Recovering From Disasters ,Read Replicas With MySQL RDS Across Regions, Storing Log Files And Backups from glacier service.
8. Security and Networking
Learning Objectives – In this module, you will learn how to enable security levels and different options available at network layer
Topics -Implement and manage security policies, S3 Bucket Policies, Building IAM Policies, Network Access Control Lists (NACLs), Using IAM Roles With EC2, Ensure data integrity and access controls when using the AWS platform, What is MFA On Amazon Web Services (Multifactor Authentication), What is Security Token Service, Demonstrate ability to prepare for security assessment use of AWS, Different AWS provided certificates & standards followed at AWS data centers , How to handle IT Audits, Demonstrate ability to implement networking features of AWS, Route53 and DNS Failover, VPC Essentials, Building A Non-Default VPC, VPC Networking, VPC Security, DB Subnet Groups, Elastic IP Addresses And Elastic Network Interfaces, Configuring A Web Application In VPC, Building A Virtual Private Cloud From Scratch – VPC, Troubleshooting Connectivity In Issues, Demonstrate ability to implement connectivity features of AWS, What is the AWS Direct Connect & On-premise To VPC Redundancy.
9. Deployment and Provisioning
Learning Objectives – In this module, you will learn how to automate deployment and provisioning using beanstalk and cloud formation services Topics – Demonstrate the ability to provision cloud resources and manage implementation automation, Creating Our First Stack, Creating an Amazon Virtual Private Cloud with Cloud Formation And Launching An EC2 Instance 10. Big Data and Analytics
Learning Objectives – In this module, you will learn how to analyse the unstructured data using AWS EMR / Dynamo DB(No SQL)
Topics – What is the usage the EMR and big data concepts, How to launch and configure the EMR service, Run a sample mapreduce program to view the job details to analyze the Big data.
11. Cloud Best Practices
Learning Objectives – In this module, you will learn what are cloud best practises at each layer
Topics – Cloud Security Best Practices at each layer, Compute Service, Storage Service, Database Service, Content Delivery Service, Network Service,) Application Service, Deploy & Management Service
12. Cost Optimization
Learning Objectives – In this module, you will learn how to use the AWS services effectively and reduce the cost at each layer
Topics – Cost Optimization at each layer, Compute Service, Storage Service, Database Service, Content Delivery Service, Network Service, Application Service, Deploy & Management Service.