Amazon Web Services training module

21

Lessons

5

Weeks

All

Skill Level

120 h

Duration

English

Language

Overview

Manage, Monitor and Automate Cloud with the expertise of certified AWS Consultants for AWS server migration by leveraging DevOps, Amazon Cloud Infrastructure and Application Migration.

The carefully planned and created AWS Solution Architect Training Course enables you to pass your certifications easily and guarantees a critical learning of different thoughts and concepts related to AWS, for instance, EC2, VP3, Amazon access management etc.

Completing this course will help you:

Who is the course for?

The carefully planned and created AWS Solution Architect Training Course enables you to pass your certifications easily and guarantees a critical learning of different thoughts and concepts related to AWS, for instance, EC2, VP3, Amazon access management etc.

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Learning Path

Lesson 1 – Overview of Cloud Computing

Introduction to cloud computing concepts, including infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). Comparison with traditional on-premises infrastructure.

Lesson 2 – Introduction to AWS

Overview of Amazon Web Services (AWS) platform, including its global infrastructure, core services, and the AWS Free Tier.

Lesson 3 – AWS Management Console

Hands-on demonstration of navigating the AWS Management Console and accessing various AWS services.

Lesson 4 – Compute Services

 In-depth exploration of AWS compute services such as Amazon EC2 (Elastic Compute Cloud), AWS Lambda, AWS Elastic Beanstalk, and Amazon ECS (Elastic Container Service).

 

Lesson 5 – Storage Services

Overview of AWS storage services including Amazon S3 (Simple Storage Service), Amazon EBS (Elastic Block Store), Amazon EFS (Elastic File System), and Amazon Glacier for archival storage.

 

Lesson 6 – Networking Services

Introduction to AWS networking services like Amazon VPC (Virtual Private Cloud), Amazon Route 53 (DNS service), Elastic Load Balancing (ELB), and AWS Direct Connect.

 

Lesson 7 – Database Services

Overview of AWS database services including Amazon RDS (Relational Database Service), Amazon DynamoDB (NoSQL database), Amazon Redshift (Data Warehouse), and Amazon Aurora.

 

Lesson 8 – Security and Identity Services

Introduction to AWS security and identity services such as AWS Identity and Access Management (IAM), AWS Key Management Service (KMS), AWS Certificate Manager (ACM), and AWS WAF (Web Application Firewall).

 

Lesson 9 – Monitoring and Management Services

Overview of AWS monitoring and management services including Amazon CloudWatch for monitoring, AWS CloudTrail for logging and auditing, and AWS Config for resource inventory and configuration management.

Lesson 10 – AWS Well-Architected Framework

Understanding the AWS Well-Architected Framework principles (Security, Reliability, Performance Efficiency, Cost Optimization, and Operational Excellence) and best practices for designing cloud-native architectures.

Lesson 11 – High Availability and Fault Tolerance

Designing highly available and fault-tolerant architectures using AWS services such as AWS Auto Scaling, Amazon Route 53 DNS Failover, and AWS Global Accelerator.

Lesson 12- Scalability and Elasticity

Implementing scalable and elastic architectures using AWS services like Amazon EC2 Auto Scaling, Amazon DynamoDB Auto Scaling, and AWS Lambda.

Lesson 13 – Security Best Practices

Applying security best practices and compliance standards (e.g., HIPAA, GDPR) in AWS environments, including network security, data encryption, access control, and threat detection.

Lesson 14 – Infrastructure as Code (IaC)

 Introduction to Infrastructure as Code (IaC) concepts using AWS CloudFormation and AWS CDK (Cloud Development Kit) for automating infrastructure provisioning and management.

Lesson 15 – Continuous Integration and Continuous Deployment (CI/CD)

 Implementing CI/CD pipelines using AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy for automating software delivery and deployment on AWS.

Lesson 16 – Containerization and Orchestration

Overview of containerization technologies such as Docker and container orchestration platforms like Amazon ECS (Elastic Container Service) and Amazon EKS (Elastic Kubernetes Service).

Lesson 17 – Serverless Computing

Introduction to serverless computing concepts and AWS serverless services like AWS Lambda, Amazon API Gateway, AWS Step Functions, and AWS SAM (Serverless Application Model).

Lesson 18 – Big Data and Analytics

Overview of AWS big data and analytics services including Amazon EMR (Elastic MapReduce), Amazon Athena, Amazon Redshift, and Amazon Kinesis for real-time data streaming and analytics.

Lesson 19 – Machine Learning on AWS

Introduction to AWS machine learning services such as Amazon SageMaker for building, training, and deploying machine learning models, and AWS AI/ML services like Amazon Rekognition and Amazon Comprehend for computer vision, natural language processing, and sentiment analysis.

Lesson 20 – Hands-on Labs and Projects

Hands-on labs and real-world projects that demonstrate how to design, deploy, and manage cloud solutions on AWS, covering a range of use cases such as web hosting, data processing, and application development.

Lesson 21 – AWS Certification Path

Overview of AWS certification tracks (e.g., AWS Certified Solutions Architect, AWS Certified Developer, AWS Certified SysOps Administrator) and preparation strategies for passing AWS certification exams.

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