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Embark on a comprehensive cloud computing journey with Enacad’s AWS training programs. Start with AWS Cloud Practitioner Essentials to gain foundational knowledge of the AWS Cloud and certification. Then, level up your skills as a cloud developer in ‘Developing with AWS,’ where you’ll learn to build cutting-edge applications. Finally, become an AWS Architect through ‘Architecting on AWS,’ mastering the art of designing secure, high-performance cloud solutions. Elevate your career and expertise with Enacad’s dynamic AWS training trio.

AWS Cloud Practitioner Essentials

This course is for individuals who seek an overall understanding of the Amazon Web Services (AWS) Cloud, independent of specific technical roles. You will learn about AWS Cloud concepts, AWS services, security, architecture, pricing, and support to build your AWS Cloud knowledge. This course also helps you prepare for the AWS Certified Cloud Practitioner exam.

Duration: Instructor-led Sessions: 42 Hours
                  Homework: 42 Hours
Level:       Intermediate
Prerequisites: Basic IT business and technical knowledge
Language: English Delivery: Instructor-led Session, Homework

• Summarize the working definition of AWS.
• Differentiate between on-premises, hybrid-cloud, and all-in cloud.
• Describe the basic global infrastructure of the AWS Cloud
• Explain the six benefits of the AWS Cloud
• Describe and provide an example of the core AWS services, including compute, network, databases, and storage.
• Identify an appropriate solution using AWS Cloud services with various use cases.
• Describe the AWS Well-Architected Framework
• Explain the shared responsibility model.
• Describe the core security services within the AWS Cloud
• Describe the basics of AWS Cloud migration.
• Articulate the financial benefits of the AWS Cloud for an organization’s cost management.
• Define the core billing, account management, and pricing models.
• Explain how to use pricing using Amazon X-Ray.

Module 1: Introduction to Amazon Web Services
• Summarize the benefits of AWS.
• Describe differences between on-demand delivery and cloud deployments.
• Summarize the pay-as-you-go pricing model.

Module 2: Compute in the Cloud
• Describe the benefits of Amazon Elastic Compute Cloud (Amazon EC2) at a basic level.
• Identify the different Amazon EC2 instance types.
• Differentiate between the various billing options for Amazon EC2
• Describe the benefits of Amazon EC2 Auto Scaling
• Summarize the benefits of Elastic Load Balancing
• Give an example of the uses for Elastic Load Balancing
• Summarize the differences between Amazon Simple Notification Service (Amazon SNS) and Amazon Simple Queue Services (Amazon SQS)
• Summarize additional AWS computer options.

Module 3: Global Infrastructure and Reliability
• Summarize the benefits of the AWS Global Infrastructure
• Describe the basic concept of Availability Zones
• Describe the benefits of Amazon CloudFront and Edge locations
• Compare different methods for provisioning AWS services

Module 4: Networking
• Describe the basic concepts of networking
• Describe the difference between public and private networking resources
• Explain a virtual private gateway using a real-life scenario
• Explain a virtual private network (VPN) using a real-life scenario
• Describe the benefit of AWS Direct Connect
• Describe the benefit of hybrid deployments
• Describe the layers of security used in an IT strategy
• Describe which services are used to interact with the AWS global network.

Module 5: Storage and Databases
• Summarize the basic concept of storage and databases.
• Describe benefits of Amazon Elastic Block Store (Amazon EBS)
• Describe benefits of Amazon Simple Storage Service (Amazon S3)
• Describe the benefits of Amazon Elastic File System (Amazon EFS)
• Summarize various storage solutions.
• Describe the benefits of Amazon Relational Database Service (Amazon RDS)
• Describe the benefits of Amazon DynamoDB
• Summarize various database services.

Module 6: Security
• Explain the benefits of the shared responsibility model
• Describe multi-factor authentication (MFA)
• Differentiate between the AWS Identity and Access Management (IAM) security levels
• Describe security policies at a basic level
• Explain the benefits of AWS Organizations
• Summarize the benefits of compliance with AWS
• Explain primary AWS security services at a basic level

Module 7: Monitoring and Analytics
• Summarize approaches to monitoring your AWS environment.
• Describe the benefits of Amazon CloudWatch
• Describe the benefits of AWS CloudTrail
• Describe the benefits of AWS Trusted Advisor

Module 8: Pricing and Support
• Understand AWS pricing and support models
• Describe the AWS Free Tier
• Describe key benefits of AWS Organizations and consolidated billing
• Explain the benefits of AWS Budgets
• Explain the benefits of AWS Cost Explorer
• Explain the primary benefits of the AWS Pricing Calculator
• Distinguish between the various AWS Support Plans
• Describe the benefits of AWS Marketplace

Module 9: Migration and Innovation
• Understand migration and innovation in the AWS Cloud
• Summarize the AWS Cloud Adoption Framework (AWS CAF)
• Summarize six key factors of a cloud migration strategy
• Describe the benefits of various AWS data migration solutions, such as AWS Snowclone, AWS
• Snowball, and AWS Snowmobile
• Summarize the broad scope of innovative solutions that AWS offers
• Summarize the five pillars of the AWS Well-Architected Framework

Module 10: AWS Certified Cloud Practitioner Basics
• Determine resources for preparing for the AWS Certified Cloud Practitioner examination
• Describe benefits of becoming AWS Certified

Upon successfull completion of course you will be taking the AWS Certified Cloud Practitioner (CLF-C01) exam. This exam is designed for individuals who can effectively showcase a comprehensive understanding of the AWS Cloud, regardless of their specific job role. In this exam, you will need to demonstrate your proficiency in the following areas:

• Explain the value of the AWS Cloud.
• Understand and articulate the AWS shared responsibility model.
• Comprehend and apply security best practices.
• Grasp AWS Cloud costs, economics, and billing practices.
• Describe and position the core AWS services, such as compute, network, databases, and storage.
• Identify AWS services suitable for common use cases.

Developing with AWS

This course teaches experienced developers how to programmatically interact with AWS services to build web solutions. It guides you through a high-level architectural discussion on resource selection and dives deep into using the AWS Software Development Kits (AWS SDKs) and Command Line Interface (AWS CLI) to build and deploy your cloud applications. You will build a sample application during this course, learning how to set up permissions to the development environment, adding business logic to process data using AWS core services, configure user authentications, deploy to AWS cloud, and debug to resolve application issues.

Duration: Instructor-led Sessions: 60 Hours
                  Homework: 60 Hours
Level: Intermediate
Prerequisites: Knowledge on Python, Java, and .net
Language: English
Delivery: Instructor-led Session, Homework

● Build a simple end-to-end cloud application using AWS Software Development Kits (AWS SDKs), Command Line Interface (AWS CLI), and IDEs.
● Configure AWS Identity and Access Management (IAM) permissions to support a development environment.
● Use multiple programming patterns in your applications to access AWS services.
● Use AWS SDKs to perform CRUD (create, read, update, delete) operations on Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB resources.
● Build AWS Lambda functions with other service integrations for your web applications.
● Understand the benefits of microservices architectures and serverless applications to design.
● Develop API Gateway components and integrate with other AWS services.
● Explain how Amazon Cognito controls user access to AWS resources.
● Build a web application using Cognito to provide and control user access.
● Use DevOps methodology to reduce the risks associated with traditional application releases and identify AWS services that help in implementing DevOps practices.
● Use AWS Serverless Application Model (AWS SAM) to deploy an application.
● Observe your application build using Amazon X-Ray.

Module 1: Course Overview
• Logistics
• Student resources
• Agenda
• Introductions

Module 2: Building a Web Application on AWS
• Discuss the architecture of the application you are going to build during this course.
• Explore the AWS services needed to build your web application.
• Discover how to store, manage, and host your web application.

Module 3: Getting Started with Development on AWS
• Describe how to access AWS services programmatically.
• List some programmatic patterns and how they provide efficiencies within AWS SDKs and AWS CLI
• Explain the value of AWS Cloud9

Module 4: Getting Started with Permissions
• Review AWS Identity and Access Management (IAM) features and components permissions to support a development environment
• Demonstrate how to test AWS IAM permissions
• Configure your IDEs and SDKs to support a development environment
• Demonstrate accessing AWS services using SDKs and AWS Cloud9

Lab 1: Configure the Developer Environment
• Connect to a developer environment
• Verify that the IDE and the AWS CLI are installed and configured to use the application profile
• Verify that the necessary permissions have been granted to run AWS CLI commands
• Assign an AWS IAM policy to a role to delete an Amazon S3 bucket

Module 5: Getting Started with Storage • Describe the basic concepts of Amazon S3
• List the options for securing data using Amazon S3
• Define SDK dependencies for your code
• Explain how to connect to the Amazon S3 service
• Describe request and response objects

Module 6: Processing Your Storage Operations
• Perform key bucket and object operations
• Explain how to handle multiple and large objects
• Create and configure an Amazon S3 bucket to host a static website
• Grant temporary access to your objects
• Demonstrate performing Amazon S3 operations using SDKs

Lab 2: Develop Solutions Using Amazon S3
• Interact with Amazon S3 programmatically using AWS SDKs and the AWS CLI
• Create a bucket using waiters and verify service exceptions codes
• Build the needed requests to upload an Amazon S3 object with metadata attached
• Build requests to download an object from the bucket, process data, and upload the object back to the bucket
• Configure a bucket to host the website and sync the source files using the AWS CLI
• Add IAM bucket policies to access the S3 website.

Module 7: Getting Started with Databases
• Describe the key components of DynamoDB
• Explain how to connect to DynamoDB
• Describe how to build a request object
• Explain how to read a response object
• List the most common troubleshooting exceptions

Module 8: Processing Your Database Operations
• Develop programs to interact with DynamoDB using AWS SDKs
• Perform CRUD operations to access tables, indexes, and data
• Describe developer best practices when accessing DynamoDB
• Review caching options for DynamoDB to improve performance
• Perform DynamoDB operations using SDK

Lab 3: Develop Solutions Using Amazon DynamoDB
• Interact with Amazon DynamoDB programmatically using low-level, document, and high- level APIs in your programs
• Retrieve items from a table using key attributes, filters, expressions, and paginations
• Load a table by reading JSON objects from a file
• Search items from a table based on key attributes, filters, expressions, and paginations
• Update items by adding new attributes and changing data conditionally
• Access DynamoDB data using PartiQL and object-persistence models where applicable

Module 9: Processing Your Application Logic
• Develop a Lambda function using SDKs
• Configure triggers and permissions for Lambda functions
• Test, deploy, and monitor Lambda functions

Lab 4: Develop Solutions Using AWS Lambda Functions
• Create AWS Lambda functions and interact programmatically using AWS SDKs and AWS CLI
• Configure AWS Lambda functions to use the environment variables and to integrate with other services
• Generate Amazon S3 pre-signed URLs using AWS SDKs and verify the access to bucket objects
• Deploy the AWS Lambda functions with .zip file archives through your IDE and test as needed
• Invoke AWS Lambda functions using the AWS Console and AWS CLI

Module 10: Managing the APIs
• Describe the key components of API Gateway
• Develop API Gateway resources to integrate with AWS services
• Configure API request and response calls for your application endpoints
• Test API resources and deploy your application API endpoint
• Demonstrate creating API Gateway resources to interact with your application APIs

Lab 5: Develop Solutions Using Amazon API Gateway
• Create RESTful API Gateway resources and configure CORS for your application
• Integrate API methods with AWS Lambda functions to process application data
• Configure mapping templates to transform the pass-through data during method integration
• Create a request model for API methods to ensure that the pass-through data format complies with application rules
• Deploy the API Gateway to a stage and validate the results using the API endpoint

Module 11: Building a Modern Application
• Describe the challenges with traditional architectures
• Describe the microservice architecture and benefits
• Explain various approaches for designing microservice applications
• Explain steps involved in decoupling monolithic applications
• Demonstrate the orchestration of Lambda Functions using AWS Step Functions

Module 12: Granting Access to Your Application Users
• Analyze the evolution of security protocols
• Explore the authentication process using Amazon Cognito
• Manage user access and authorize serverless APIs
• Observe best practices for implementing Amazon Cognito
• Demonstrate the integration of Amazon Cognito and review JWT tokens

Lab 6: Capstone – Complete the Application Build
• Create a User pool and an Application Client for your web application use.
• Add new users and confirm their ability to sign-in using the Amazon Cognito CLI
• Configure API Gateway methods to use Amazon Cognito as an authorizer.
• Verify JWT authentication tokens are generated during API Gateway calls.
• Develop API Gateway resources rapidly using a Swagger importing strategy.
• Set up your web application frontend to use Amazon Cognito and API Gateway configurations and verify the entire application functionality.

Module 13: Deploying Your Application
• Identify risks associated with traditional software development practices.
• Understand DevOps methodology.
• Configure an AWS SAM template to deploy a serverless application.
• Describe various application deployment strategies.
• Demonstrate deploying a serverless application using AWS SAM

Module 14: Observing Your Application
• Differentiate between monitoring and observability.
• Evaluate why observability is necessary in modern development and key components.
• Understand CloudWatch’s part in configuring the observability.
• Demonstrate using CloudWatch Application Insights to monitor applications.
• Demonstrate using X-Ray to debug your applications.

Lab 7: Observe the Application Using AWS X-Ray
• Instrument your application code to use AWS X-Ray capabilities.
• Enable your application deployment package to generate logs.
• Understand the key components of an AWS SAM template and deploy your application.
• Create AWS X-Ray service maps to observe end-to-end processing behavior of your application.
• Analyze and debug application issues using AWS X-Ray traces and annotations.

Upon successfull completion of course you will be taking the AWS Certified Developer – Associate (DVA-C02) exam for the developer role. The exam validates your ability to demonstrate proficiency in developing, testing, deploying, and debugging AWS cloud-based applications.

The exam also validates your ability to complete the following tasks:
• Develop and optimize applications on AWS.
• Package and deploy by using continuous integration and continuous delivery (CI/CD) workflows.
• Secure application code and data
• Identify and resolve application issues.


Architecting on AWS

Architecting on AWS is for solutions architects, solution-design engineers, and developers seeking an understanding of AWS architecting. In this course, you will learn to identify services and features to build resilient, secure, and highly available IT solutions on the AWS Cloud.

Architectural solutions differ depending on industry, types of applications, and business size. AWS Authorized Instructors emphasize best practices using the AWS Well-Architected Framework and guide you through the process of designing optimal IT solutions based on real-life scenarios. The modules focus on account security, networking, computer, storage, databases, monitoring, automation, containers, serverless architecture, edge services, and backup and recovery. At the end of the course, you will practice building a solution and apply what you have learned.

Duration: Instructor-led Sessions: 60 Hours
                  Homework: 60 Hours
Level: Intermediate
Prerequisites: Completed AWS Cloud Practitioner Essentials
Language: English
Delivery: Instructor-led Session, Homework

• Identify AWS architecting basic practices
• Summarize the fundamentals of account security
• Identify strategies to build a secure virtual network that includes private and public subnets
• Practice building a multi-tier architecture in AWS
• Identify strategies to select the appropriate compute resources based on business use cases
• Compare and contrast AWS storage products and services based on business scenarios
• Compare and contrast AWS database services based on business needs
• Identify the role of monitoring, load balancing, and auto scaling responses based on business needs
• Identify and discuss AWS automation tools that will help you build, maintain, and evolve your infrastructure
• Discuss hybrid networking, network peering, and gateway and routing solutions to extend and secure your infrastructure
• Explore AWS container services for the rapid implementation of an infrastructure-agnostic, portable application environment
• Identify the business and security benefits of AWS serverless services based on business examples
• Discuss the ways in which AWS edge services address latency and security
• Explore AWS backup, recovery solutions, and best practices to ensure resiliency and business continuity

Module 1: Architecting Fundamentals

  • AWS services
  • AWS infrastructure
  • AWS Well-Architected Framework
  • Hands-on lab: Explore and interact with the AWS Management Console and AWS Command Line Interface

Module 2: Account Security

  • Principals and identities
  • Security policies
  • Managing multiple accounts

Module 3: Networking 1

  • IP addressing
  • VPC fundamentals
  • VPC traffic security

Module 4: Compute (Includes Lab)

  • Compute services
  • EC2 instances
  • Storage for EC2 instances
  • Amazon EC2 pricing options
  • AWS Lambda
  • Hands-On Lab: Build your Amazon VPC infrastructure

Module 5: Storage

  • Storage services
  • Amazon S3
  • Shared file systems
  • Data migration tools

Module 6: Database Services

  • Database services
  • Amazon RDS
  • Amazon DynamoDB
  • Database caching
  • Database migration tools
  • Hands-on Lab: Create a database layer in your Amazon VPC infrastructure

Module 7: Monitoring and Scaling

  • Monitoring
  • Alarms and events
  • Load balancing
  • Auto scaling
  • Hands-on Lab: Configure high availability in your Amazon VPC

Module 8: Automation

  • AWS CloudFormation
  • Infrastructure management

Module 9: Containers

  • Microservices
  • Containers
  • Container services

Module 10: Networking 2

  • VPC endpoints
  • VPC peering
  • Hybrid networking
  • AWS Transit Gateway

Module 11: Serverless

  • What is serverless?
  • Amazon API Gateway
  • Amazon SQS
  • Amazon SNS
  • Amazon Kinesis
  • AWS Step Functions
  • Hands-on Lab: Build a serverless architecture

Module 12: Edge Services

  • Edge fundamentals
  • Amazon Route 53
  • Amazon CloudFront
  • DDoS protection
  • AWS Outposts
  • Hands-On Lab: Configure an Amazon CloudFront distribution with an Amazon S3 origin

Module 13: Backup and Recovery

  • Disaster planning
  • AWS Backup
  • Recovery strategies
  • Hands-on Lab: Capstone lab – Build an AWS Multi-Tier architecture. Participants review the concepts and services learned in class and build a solution based on a scenario. The lab environment provides partial solutions to promote analysis and reflection. Participants deploy a highly available architecture. The instructor is available for consultation

Upon successfull completion of course you will be taking the AWS Certified Solutions Architect – Associate (SAA-C03) exam for a solutions architect role. The exam validates your ability to use AWS technologies to design solutions based on the AWS Well-Architected Framework.

The exam also validates your ability to complete the following tasks:

  • Design solutions that incorporate AWS services to meet current business requirements and future projected needs.
  • Design architectures that are secure, resilient, high-performing, and cost-optimized
  • Review existing solutions and determine improvements.
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