AWS Solutions Architect

The AWS Solutions Architect – Associate (SAA-C03) course is designed to teach participants how to design scalable, cost-effective, and secure applications on the AWS platform. It covers the architectural best practices and core AWS services required to build and manage reliable and efficient solutions.

The course also prepares learners for the AWS Certified Solutions Architect – Associate (SAA-C03) exam, enabling them to develop a strong understanding of the AWS architecture framework.

Target Audience:

• - Individuals who want to design cloud-based solutions on AWS.
• - IT professionals looking to deepen their knowledge of AWS architecture.
• - Cloud engineers, solutions architects, and DevOps professionals.
• - Candidates preparing for the AWS Certified Solutions Architect – Associate exam.

Prerequisites:

• - Basic understanding of AWS core services (e.g., EC2, S3, RDS, VPC).
• - Familiarity with cloud computing concepts and terminology.
• - Prior hands-on experience with AWS services is recommended but not mandatory.
• - Understanding of networking, security, and storage fundamentals is beneficial.

 Top 10 Job Profiles After Course Completion:

• 1. AWS Solutions Architect
• 2. Cloud Solutions Architect
• 3. Cloud Infrastructure Architect
• 4. Cloud Engineer
• 5. Cloud Consultant
• 6. DevOps Engineer (AWS)
• 7. AWS Cloud Architect
• 8. Systems Engineer (AWS)
• 9. Cloud Migration Specialist
• 10. IT Architect (Cloud)

Syllabus Summary:

•  Module 1: Introduction to AWS and Cloud Architecture
• - Overview of AWS Architecture:  
•   Learn about AWS's global infrastructure, regions, availability zones, and edge locations. Understand key architectural principles for building on the cloud.
• - The AWS Well-Architected Framework:  
•   Explore the five pillars of the AWS Well-Architected Framework: operational excellence, security, reliability, performance efficiency, and cost optimization.
•  Module 2: AWS Identity and Access Management (IAM)
• - AWS IAM Overview:  
•   Understand how to manage users, groups, roles, and policies in AWS IAM to secure AWS resources.
• - IAM Best Practices:  
•   Learn best practices for managing access and permissions, implementing multi-factor authentication (MFA), and following the principle of least privilege.
•  Module 3: Networking and Content Delivery
• - Amazon Virtual Private Cloud (VPC):  
•   Create and manage a secure, scalable VPC, configure subnets, route tables, NAT gateways, and Internet gateways.
• - AWS Networking Services:  
•   Explore services like AWS Direct Connect, VPNs, Elastic Load Balancing (ELB), and Route 53 to enhance network connectivity and availability.
• - AWS CloudFront and Content Delivery:  
•   Implement CloudFront to deliver content globally with low latency and high transfer speeds.
•  Module 4: Compute Services
• - Amazon EC2:  
•   Learn how to launch and configure EC2 instances, choose appropriate instance types, and use AMIs for deployment.
• - EC2 Auto Scaling:  
•   Configure Auto Scaling to dynamically adjust the number of EC2 instances based on demand. Implement scaling policies and strategies for high availability.
• - Elastic Beanstalk and AWS Lambda:  
•   Understand how to deploy applications using Elastic Beanstalk and how to build serverless architectures using AWS Lambda.
•  Module 5: Storage and Data Management
• - Amazon S3:  
•   Learn to store and manage objects in Amazon S3, configure bucket policies, versioning, and lifecycle management. Explore S3 storage classes and data encryption.
• - Amazon EBS and EFS:  
•   Use Elastic Block Store (EBS) for persistent block storage and Elastic File System (EFS) for scalable file storage. Understand backup, restore, and encryption features.
• - AWS Storage Gateway and Glacier:  
•   Implement AWS Storage Gateway for hybrid cloud storage solutions, and use Amazon Glacier for low-cost archival storage.
•  Module 6: Databases and Analytics
• - Amazon RDS and DynamoDB:  
•   Learn how to design, deploy, and manage relational databases using Amazon RDS. Use DynamoDB for fast and flexible NoSQL database solutions.
• - Amazon Redshift:  
•   Implement Redshift for large-scale data warehousing and analytics.