AWS Certified Solutions Architect Associate

This hands-on training will help you learn quickly and thoroughly which validate your technical knowledge and skills across the breadth of AWS services.

Dev Kumar

20 Classes

60 Hours

10 Seats

This SAA-C03 course is essential for those who wants to become hands-on expert Cloud Solutions Architect and have basic IT knowledge in Linux, networking, virtualization, scripting, security, programming, database and storage technologies.

Any IT Professional who is working as Solutions Architect, IT Manager, IT Executive, IT Support Engineer, System Engineer, Network Engineer, DevOps Engineer, Software Engineer, Security Engineer can take this course.

Domain 1: Design Secure Architectures (30% Marks)

AWS SAA-C03 Course Overview
Course Prerequisites
Overview of Cloud Computing
Cloud Computing Characteristics
Cloud Computing Service Models
Cloud Computing Deployment Models
AWS Global Infrastructure
AWS Regions and Availability Zones
AWS Solutions Overview
Create an AWS Root Account
Configure AWS Account
Setup Multi-Factor Authentication
Create Budget and Alarm
Install Visual Studio Code
Install and Configure AWS CLI on Local Computer
Connect AWS Service from Command Line
Access AWS CloudShell

Access controls and management across multiple accounts
AWS federated access and identity services
AWS global infrastructure
AWS security best practices
The AWS shared responsibility model
Applying AWS security best practices to IAM users and root users
Designing a flexible authorization model that includes IAM users, groups, roles, and policies
Designing a role-based access control strategy
Designing a security strategy for multiple AWS accounts
Determining the appropriate use of resource policies for AWS services
Determining when to federate a directory service with IAM roles

Application configuration and credentials security
AWS service endpoints
Control ports, protocols, and network traffic on AWS
Secure application access
Security services with appropriate use cases
Threat vectors external to AWS
Designing VPC architectures with security components
Determining network segmentation strategies
Integrating AWS services to secure applications
Securing external network connections to and from the AWS Cloud

Data access and governance
Data recovery
Data retention and classification
Encryption and appropriate key management
Aligning AWS technologies to meet compliance requirements
Encrypting data at rest
Encrypting data in transit
Implementing access policies for encryption keys
Implementing data backups and replications
Implementing policies for data access, lifecycle, and protection
Rotating encryption keys and renewing certificates

Domain 2: Design Resilient Architectures (26% Marks)

API creation and management
AWS managed services with appropriate use cases
Caching strategies
Design principles for microservices
Event-driven architectures
Horizontal scaling and vertical scaling
How to appropriately use edge accelerators
How to migrate applications into containers
Load balancing concepts
Multi-tier architectures
Queuing and messaging concepts
Serverless technologies and patterns
Storage types with associated characteristics
The orchestration of containers
When to use read replicas
Workflow orchestration
Designing event-driven, microservice, and/or multi-tier architectures based on requirements
Determining scaling strategies for components used in an architecture design
Determining the AWS services required to achieve loose coupling based on requirements
Determining when to use containers
Determining when to use serverless technologies and patterns
Recommending appropriate compute, storage, networking, and database technologies based on requirements
Using purpose-built AWS services for workloads

AWS global infrastructure
AWS managed services with appropriate use cases
Basic networking concepts
Disaster recovery (DR) strategies
Distributed design patterns
Failover strategies
Immutable infrastructure
Load balancing concepts
Proxy concepts
Service quotas and throttling
Storage options and characteristics
Workload visibility
Determining automation strategies to ensure infrastructure integrity
Determining the AWS services required to provide a highly available and/or fault-tolerant architecture across AWS Regions or Availability Zones
Identifying metrics based on business requirements to deliver a highly available solution
Implementing designs to mitigate single points of failure
Implementing strategies to ensure the durability and availability of data
Selecting an appropriate DR strategy to meet business requirements
Using AWS services that improve the reliability of legacy applications and applications not built for the cloud
Using purpose-built AWS services for workloads

Domain 3: Design High-Performing Architectures (24% Marks)

Hybrid storage solutions to meet business requirements
Storage services with appropriate use cases
Storage types with associated characteristics
Determining storage services and configurations that meet performance demands
Determining storage services that can scale to accommodate future needs

AWS compute services with appropriate use cases
Distributed computing concepts supported by AWS global infrastructure and edge services
Queuing and messaging concepts
Scalability capabilities with appropriate use cases
Serverless technologies and patterns
The orchestration of containers
Decoupling workloads so that components can scale independently
Identifying metrics and conditions to perform scaling actions
Selecting the appropriate compute options and features to meet business requirements
Selecting the appropriate resource type and size to meet business requirements

AWS global infrastructure
Caching strategies and services
Data access patterns
Database capacity planning
Database connections and proxies
Database engines with appropriate use cases
Database replication
Database types and services
Configuring read replicas to meet business requirements
Designing database architectures
Determining an appropriate database engine
Determining an appropriate database type
Integrating caching to meet business requirements

Edge networking services with appropriate use cases
How to design network architecture
Load balancing concepts
Network connection options
Creating a network topology for various architectures
Determining network configurations that can scale to accommodate future needs
Determining the appropriate placement of resources to meet business requirements
Selecting the appropriate load balancing strategy

Data analytics and visualization services with appropriate use cases
Data ingestion patterns
Data transfer services with appropriate use cases
Data transformation services with appropriate use cases
Secure access to ingestion access points
Sizes and speeds needed to meet business requirements
Streaming data services with appropriate use cases
Building and securing data lakes
Designing data streaming architectures
Designing data transfer solutions
Implementing visualization strategies
Selecting appropriate compute options for data processing
Selecting appropriate configurations for ingestion
Transforming data between formats

Domain 4: Design Cost-Optimized Architectures (20% Marks)

Access options
AWS cost management service features
AWS cost management tools with appropriate use cases
AWS storage services with appropriate use cases
Backup strategies
Block storage options
Data lifecycles
Hybrid storage options
Storage access patterns
Storage tiering
Storage types with associated characteristics
Designing appropriate storage strategies
Determining the correct storage size for a workload
Determining the lowest cost method of transferring data for a workload to AWS storage
Determining when storage auto scaling is required
Managing S3 object lifecycles
Selecting the appropriate backup and/or archival solution
Selecting the appropriate service for data migration to storage services
Selecting the appropriate storage tier
Selecting the correct data lifecycle for storage
Selecting the most cost-effective storage service for a workload

AWS cost management service features
AWS cost management tools with appropriate use cases
AWS global infrastructure
AWS purchasing options
Distributed compute strategies
Hybrid compute options
Instance types, families, and sizes
Optimization of compute utilization
Scaling strategies
Determining an appropriate load balancing strategy
Determining appropriate scaling methods and strategies for elastic workloads
Determining cost-effective AWS compute services with appropriate use cases
Determining the required availability for different classes of workloads
Selecting the appropriate instance family for a workload
Selecting the appropriate instance size for a workload

AWS cost management service features
AWS cost management tools with appropriate use cases
Caching strategies
Data retention policies
Database capacity planning
Database connections and proxies
Database engines with appropriate use cases
Database replication
Database types and services
Designing appropriate backup and retention policies
Determining an appropriate database engine
Determining cost-effective AWS database services with appropriate use cases
Determining cost-effective AWS database types
Migrating database schemas and data to different locations and/or different database engines

AWS cost management service features
AWS cost management tools with appropriate use cases
Load balancing concepts
NAT gateways
Network connectivity
Network routing, topology, and peering
Network services with appropriate use cases
Configuring appropriate NAT gateway types for a network
Configuring appropriate network connections
Configuring appropriate network routes to minimize network transfer costs
Determining strategic needs for content delivery networks (CDNs) and edge caching
Reviewing existing workloads for network optimizations
Selecting an appropriate throttling strategy
Selecting the appropriate bandwidth allocation for a network device

Dev Kumar

Principal Solutions Architect

Profile Summary

With 21 years of leadership experience in Information Technology and 15 years specializing in leading DevOps and Cloud Solutions Architecture, he is currently an Engineering Head driving the design and architecture of highly secure & scalable cloud solutions on AWS, Azure, and GCP Cloud Platform. Skilled in IT Infrastructure, IT Operations, IT Applications, Cyber Security, Cloud Infrastructure, Solutions Architecture, DevOps Engineering, Cloud Security, Data Analytics, and Project Management.