AWS Solutions Architect Associate Course
AWS Solutions Architect Associate Training course prepare for your certification. Learn from real-world experts. Enroll For AWS Associate ...
in Amazon AWSWhat you will learn?
Basics of IT services and their uses on AWS Cloud
Core concepts of AWS services and use cases, billing and pricing models, security concepts, and how cloud impacts your business
You will learn about AWS deployment and management services
Get knowledge of compute, networking, storage, and database AWS services
Understanding of AWS structured Framework, deploying, managing, and operating network and security services on AWS
Skills using the AWS Management Console and the AWS Command Line Interface (CLI).
About this course
This is an instructor-led online live AWS Solutions Architect Associate Training..
It'll be a real-time interactive live training session with me. Feel free to check my profile for more details.
"Covering Latest Course Content"
I will teach you the AWS course that will cover Solutions Architect - Associate level certification latest syllabus.
I'll also be covering some of the most important aspect of AWS exam and discuss type of questions you may face in AWS exam.
I would suggest, this live training is best suitable for beginners and professionals who want to learn and become expert on essential skills with AWS cloud computing industry knowledge.
In this AWS Solutions Architect Associate Course, I'll start from the basic level of understanding of AWS Cloud concepts, services, and terminology, followed by advance topics and a wide range of AWS services.
"Contact me on Forum and Course Support"
I will suggest you join Forum at this platform where you can get help from me and other experts from different domains.
You will also get live training recorded videos of each session if case you miss out live sessions.
AWS Solutions Architect Associate Online Course Highlights
100% Interactive Live Sessions with me (Instructor) | Real-time hands-on Labs on AWS online platform |
5 AWS Solution Architect Associate Certification Practice Exams (60 Questions/Exam) | One to One doubt clearing session with me (Limited Sessions) |
Live training recorded videos on your dedicated dashboard | Course Completion Certificate |
What is Amazon AWS?
I believe that you know that AWS is a cloud computing platform offered by Amazon.
"Millions of Businesses adopting AWS"
AWS is world's most adoptable and popular cloud platform where small to largest enterprises are using AWS cloud platform.
AWS save your cost to become more agile.
AWS Solutions Architect Associate Certification
The AWS Solutions Architect Associate Certification is for people who want to learn cloud technologies on Amazon Web Services (AWS) platform.
"AWS Services - EC2, S3, VPC, RDS etc."
It covers topics AWS services (e.g., EC2, S3, RDS, VPC), security and compliance, architectural design, cost optimization, and more.
There are no prerequisites, and you can find study resources on the AWS website.
The certification lasts for three years. To keep it, you can retake the exam or take a more advanced one in the same area.
It's a valuable certification for people who design cloud systems on AWS.
Benefits of AWS Certification
The enterprises are adopting AWS services and are increasing multiple folds every year.
"400k Cloud Computing Jobs Available"
So, AWS certified professionals are in great demand and job opportunities for AWS certified engineers are huge.
The AWS cloud market is expected to grow 2 times in the next 5 years.
As per many top jobs finding portal, there are 400k cloud computing jobs available across the globe.
Within India average salary for Cloud Solution Architect is INR 16L Annually.
Who should learn this AWS Associate course?
The AWS Solution Architect Associate Course is suitable for the professionals or student who have:
- ● Basic knowledge on AWS technologies
- ● Completed AWS Solution Architect Cloud Practitioner Course
- ● Cloud professionals for another platform
- ● Anyone interested to learn cloud computing
Certification and exams details
This course is related to AWS Solutions Architect certificate. This is an associate-level certification.
The exam will be of 130 minutes long where approx. 65 MCQ or multiple response type questions presented to evaluate your skills.
You can take exam either at Pearson VUE testing center or proctored controlled online exam.
Below are the details for the related certification and exam:
✔ Exam Name: AWS Solutions Architect Associate
✔ Exam Code: SAA-C03
✔ Exam Duration: 130 Minutes
✔ Exam Cost: 150 USD + Tax
✔ Languages: English & Japanese
✔ Exam Centers: Pearson Vue Centers or Proctored Controlled Online Exam
Suggested by top companies
Top companies suggest this course to their employees and staff.
Requirements
Anyone new to cloud computing and want to gain a fundamental understanding of cloud concepts
Professionals who want to get the basics of AWS cloud computing
IT professionals wants to expand their knowledge of AWS cloud principles
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I will cover
The brief overview of the course content
How you can access the operating course
How you can access the recording of the access
I will cover
Knowledge of:
• Access controls and management across multiple accounts
• AWS federated access and identity services (for example, AWS Identity and Access
Management [IAM], AWS Single Sign-On [AWS SSO])
• AWS global infrastructure (for example, Availability Zones, AWS Regions)
• AWS security best practices (for example, the principle of least privilege)
• The AWS shared responsibility model
Skills in:
• Applying AWS security best practices to IAM users and root users (for example, multi-factor
authentication [MFA])
• Designing a flexible authorization model that includes IAM users, groups, roles, and policies
• Designing a role-based access control strategy (for example, AWS Security Token Service [AWS
STS], role switching, cross-account access)
• Designing a security strategy for multiple AWS accounts (for example, AWS Control Tower,
service control policies [SCPs])
• Determining the appropriate use of resource policies for AWS services
• Determining when to federate a directory service with IAM roles
I will cover
Knowledge of:
• 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 (for example,
• Amazon Cognito, Amazon
•GuardDuty, Amazon Macie)
• Threat vectors external to AWS (for example, DDoS, SQL injection)
Skills in:
• Designing VPC architectures with security components (for example, security groups, route
• tables, network ACLs, NAT gateways)
• Determining network segmentation strategies (for example, using public subnets and private
• subnets)
• Integrating AWS services to secure applications (for example, AWS Shield, AWS WAF, AWS
• SSO, AWS Secrets Manager)
• Securing external network connections to and from the AWS Cloud (for example, VPN, AWS
• Direct Connect)
I will cover
Knowledge of:
• Data access and governance
• Data recovery
• Data retention and classification
• Encryption and appropriate key management
I will cover
Knowledge of:
• API creation and management (for example, Amazon API Gateway, REST API)
• AWS managed services with appropriate use cases (for example, AWS Transfer Family, Amazon
Simple Queue Service [Amazon SQS], Secrets Manager)
• Caching strategies
• Design principles for microservices (for example, stateless workloads compared with stateful
workloads)
• Event-driven architectures
• Horizontal scaling and vertical scaling
• How to appropriately use edge accelerators (for example, content delivery network [CDN])
• How to migrate applications into containers
• Load balancing concepts (for example, Application Load Balancer)
• Multi-tier architectures
• Queuing and messaging concepts (for example, publish/subscribe)
• Serverless technologies and patterns (for example, AWS Fargate, AWS Lambda)
• Storage types with associated characteristics (for example, object, file, block)
• The orchestration of containers (for example, Amazon Elastic Container Service [Amazon ECS],
Amazon Elastic Kubernetes Service [Amazon EKS])
• When to use read replicas
• Workflow orchestration (for example, AWS Step Functions)
Skills in:
• 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
I will cover
Design highly available and/or fault-tolerant architectures
Knowledge of:
• AWS global infrastructure (for example, Availability Zones, AWS Regions, Amazon Route 53)
• AWS managed services with appropriate use cases (for example, Amazon Comprehend,
Amazon Polly)
• Basic networking concepts (for example, route tables)
• Disaster recovery (DR) strategies (for example, backup and restore, pilot light, warm standby,
active-active failover, recovery point objective [RPO], recovery time objective [RTO])
• Distributed design patterns
• Failover strategies
• Immutable infrastructure
• Load balancing concepts (for example, Application Load Balancer)
• Proxy concepts (for example, Amazon RDS Proxy)
• Service quotas and throttling (for example, how to configure the service quotas for a workload
in a standby environment)
• Storage options and characteristics (for example, durability, replication)
• Workload visibility (for example, AWS X-Ray)
Skills in:
• 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 (for example, backups)
• 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 (for example, when application changes are not possible)
• Using purpose-built AWS services for workloads
I will cover
Determine high-performing and/or scalable storage solutions
Knowledge of:
• Hybrid storage solutions to meet business requirements
• Storage services with appropriate use cases (for example, Amazon S3, Amazon Elastic File
System [Amazon EFS], Amazon Elastic Block Store [Amazon EBS])
• Storage types with associated characteristics (for example, object, file, block)
Skills in:
• Determining storage services and configurations that meet performance demands
• Determining storage services that can scale to accommodate future needs
I will cover
Knowledge of:
• AWS compute services with appropriate use cases (for example, AWS Batch, Amazon EMR,
Fargate)
• Distributed computing concepts supported by AWS global infrastructure and edge services
• Queuing and messaging concepts (for example, publish/subscribe)
• Scalability capabilities with appropriate use cases (for example, Amazon EC2 Auto Scaling,
AWS Auto Scaling)
• Serverless technologies and patterns (for example, Lambda, Fargate)
• The orchestration of containers (for example, Amazon ECS, Amazon EKS)
Skills in:
• Decoupling workloads so that components can scale independently
• Identifying metrics and conditions to perform scaling actions
• Selecting the appropriate compute options and features (for example, EC2 instance types) to
meet business requirements
• Selecting the appropriate resource type and size (for example, the amount of Lambda
memory) to meet business requirements
I will cover
Knowledge of:
• AWS global infrastructure (for example, Availability Zones, AWS Regions)
• Caching strategies and services (for example, Amazon ElastiCache)
• Data access patterns (for example, read-intensive compared with write-intensive)
• Database capacity planning (for example, capacity units, instance types, Provisioned IOPS)
• Database connections and proxies
• Database engines with appropriate use cases (for example, heterogeneous migrations,
homogeneous migrations)
• Database replication (for example, read replicas)
• Database types and services (for example, serverless, relational compared with non-relational,
in-memory
Skills in:
• Configuring read replicas to meet business requirements
• Designing database architectures
• Determining an appropriate database engine (for example, MySQL compared with
PostgreSQL)
• Determining an appropriate database type (for example, Amazon Aurora, Amazon DynamoDB)
• Integrating caching to meet business requirements
I will cover
Determine high-performing and/or scalable network architectures.
Knowledge of:
• Edge networking services with appropriate use cases (for example, Amazon CloudFront, AWS
Global Accelerator)
• How to design network architecture (for example, subnet tiers, routing, IP addressing)
• Load balancing concepts (for example, Application Load Balancer)
• Network connection options (for example, AWS VPN, Direct Connect, AWS PrivateLink)
Skills in:
• Creating a network topology for various architectures (for example, global, hybrid, multi-tier)
• 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
I will cover
Determine high-performing data ingestion and transformation solutions
Knowledge of:
• Data analytics and visualization services with appropriate use cases (for example, Amazon
Athena, AWS Lake Formation, Amazon QuickSight)
• Data ingestion patterns (for example, frequency)
• Data transfer services with appropriate use cases (for example, AWS DataSync, AWS Storage
Gateway)
• Data transformation services with appropriate use cases (for example, AWS Glue)
• Secure access to ingestion access points
• Sizes and speeds needed to meet business requirements
• Streaming data services with appropriate use cases (for example, Amazon Kinesis)
Skills in:
• Building and securing data lakes
• Designing data streaming architectures
• Designing data transfer solutions
• Implementing visualization strategies
• Selecting appropriate compute options for data processing (for example, Amazon EMR)
• Selecting appropriate configurations for ingestion
• Transforming data between formats (for example, .csv to .parquet)
I will cover
Knowledge of:
• Access options (for example, an S3 bucket with Requester Pays object storage)
• AWS cost management service features (for example, cost allocation tags, multi-account
billing)
• AWS cost management tools with appropriate use cases (for example, AWS Cost Explorer,
AWS Budgets, AWS Cost and Usage Report)
• AWS storage services with appropriate use cases (for example, Amazon FSx, Amazon EFS,
Amazon S3, Amazon EBS)
• Backup strategies
• Block storage options (for example, hard disk drive [HDD] volume types, solid state drive [SSD]
volume types)
• Data lifecycles
• Hybrid storage options (for example, DataSync, Transfer Family, Storage Gateway)
• Storage access patterns
• Storage tiering (for example, cold tiering for object storage)
• Storage types with associated characteristics (for example, object, file, block)
Skills in:
• Designing appropriate storage strategies (for example, batch uploads to Amazon S3 compared
with individual uploads)
• 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
I will cover
Knowledge of:
• AWS cost management service features (for example, cost allocation tags, multi-account
billing)
• AWS cost management tools with appropriate use cases (for example, Cost Explorer, AWS
Budgets, AWS Cost and Usage Report)
• AWS global infrastructure (for example, Availability Zones, AWS Regions)
• AWS purchasing options (for example, Spot Instances, Reserved Instances, Savings Plans)
• Distributed compute strategies (for example, edge processing)
• Hybrid compute options (for example, AWS Outposts, AWS Snowball Edge)
• Instance types, families, and sizes (for example, memory optimized, compute optimized,
virtualization)
• Optimization of compute utilization (for example, containers, serverless computing,
microservices)
• Scaling strategies (for example, auto scaling, hibernation)
Skills in:
• Determining an appropriate load balancing strategy (for example, Application Load Balancer
[Layer 7] compared with Network Load Balancer [Layer 4] compared with Gateway Load
Balancer)
• Determining appropriate scaling methods and strategies for elastic workloads (for example,
horizontal compared with vertical, EC2 hibernation)
• Determining cost-effective AWS compute services with appropriate use cases (for example,
Lambda, Amazon EC2, Fargate)
• Determining the required availability for different classes of workloads (for example,
production workloads, non-production workloads)
• Selecting the appropriate instance family for a workload
• Selecting the appropriate instance size for a workload
I will cover
Knowledge of:
• AWS cost management service features (for example, cost allocation tags, multi-account
billing)
• AWS cost management tools with appropriate use cases (for example, Cost Explorer, AWS
Budgets, AWS Cost and Usage Report)
• Caching strategies
• Data retention policies
• Database capacity planning (for example, capacity units)
• Database connections and proxies
• Database engines with appropriate use cases (for example, heterogeneous migrations,
homogeneous migrations)
• Database replication (for example, read replicas)
• Database types and services (for example, relational compared with non-relational, Aurora,
DynamoDB)
Skills in:
• Designing appropriate backup and retention policies (for example, snapshot frequency)
• Determining an appropriate database engine (for example, MySQL compared with
PostgreSQL)
• Determining cost-effective AWS database services with appropriate use cases (for example,
DynamoDB compared with Amazon RDS, serverless)
• Determining cost-effective AWS database types (for example, time series format, columnar
format)
• Migrating database schemas and data to different locations and/or different database engines
I will cover
Knowledge of:
• AWS cost management service features (for example, cost allocation tags, multi-account
billing)
• AWS cost management tools with appropriate use cases (for example, Cost Explorer, AWS
Budgets, AWS Cost and Usage Report)
• Load balancing concepts (for example, Application Load Balancer)
• NAT gateways (for example, NAT instance costs compared with NAT gateway costs)
• Network connectivity (for example, private lines, dedicated lines, VPNs)
• Network routing, topology, and peering (for example, AWS Transit Gateway, VPC peering)
• Network services with appropriate use cases (for example, DNS)
Skills in:
• Configuring appropriate NAT gateway types for a network (for example, a single shared NAT
gateway compared with NAT gateways for each Availability Zone)
• Configuring appropriate network connections (for example, Direct Connect compared with
VPN compared with internet)
• Configuring appropriate network routes to minimize network transfer costs (for example,
Region to Region, Availability Zone to Availability Zone, private to public, Global Accelerator,
VPC endpoints)
• 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 (for example, a single
VPN compared with multiple VPNs, Direct Connect speed)