AWS Course Amazon Web Services
Amazon Web Services (AWS) is Amazon’s cloud computing platform, offering a wide array of services that enable businesses, governments, and individuals to store, manage, analyze, secure, and process data in the cloud. With AWS, clients can access cloud storage, compute power, and a variety of tools to manage applications and websites, ranging from simple to highly confidential data. One of AWS’s standout features is EC2 (Elastic Compute Cloud), which allows users to create and manage virtual servers or clusters, providing flexibility and scalability. As AWS continues to grow in popularity, mastering these tools is essential for professionals seeking to excel in the cloud computing domain. At SMEClabs, we offer comprehensive AWS training that equips you with the skills and knowledge to become an expert in using AWS services effectively, preparing you for high-demand roles in cloud computing.
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Course Code – SLN – 1701 | Eligibility – Any Degree, Diploma, Graduates | Mode – Online / Offline / OnDemand / Hybrid | Duration – 45 Hours
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What Is AWS Certification Course?
The AWS Certification course is a training program designed to help individuals gain the skills and knowledge needed to work with Amazon Web Services (AWS), one of the leading cloud computing platforms. The course prepares learners for AWS certification exams, validating their expertise in various AWS services and solutions. It covers core topics such as cloud computing fundamentals, EC2, S3, IAM (Identity and Access Management), VPC (Virtual Private Cloud), AWS storage solutions, security, and monitoring tools. By completing the course, participants will be equipped to design, deploy, and manage scalable and secure applications on the AWS cloud platform. Upon passing the certification exam, individuals can earn industry-recognized credentials, opening doors to job opportunities and career advancement in cloud computing.
What You Will Learn in the AWS Certification Course?
In the AWS Certification course, you will gain comprehensive knowledge of Amazon Web Services (AWS) and learn how to effectively use its cloud computing tools and services. The course covers essential topics such as cloud computing fundamentals, EC2 (Elastic Compute Cloud) for running virtual servers, S3 (Simple Storage Service) for storing and managing data, and IAM (Identity and Access Management) for securing and controlling access to AWS resources. You will also learn how to design and manage VPCs (Virtual Private Clouds), set up load balancers, implement AWS security best practices, and use monitoring tools like CloudWatch. By the end of the course, you will have the expertise needed to deploy, monitor, and manage scalable, secure applications on AWS, preparing you for certification exams and advanced roles in cloud computing.
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Amazon Web Services Course Categories
- Security Management in AWS
- Amazon EC2 (Elastic Compute Cloud)
- Networking and Monitoring Services
- Application Services and AWS Lambda
AWS Certification Course Overview
AWS Certification Course - Syllabus
Domain 1: Design Secure Architectures
Task Statement 1: Design secure access to AWS resources. 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)
- 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
Task Statement 2: Design secure workloads and applications. 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)
Task Statement 3: Determine appropriate data security controls. Knowledge of:
- Data access and governance
- Data recovery
- Data retention and classification
- Encryption and appropriate key management Skills in:
- Aligning AWS technologies to meet compliance requirements
- Encrypting data at rest (for example, AWS Key Management Service [AWS KMS])
- Encrypting data in transit (for example, AWS Certificate Manager [ACM] using TLS)
- 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
Task Statement 1: Design scalable and loosely coupled architectures. 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, micro service, 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
Task Statement 2: 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
Domain 3: Design High-Performing Architectures
Task Statement 1: 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
Task Statement 2: Design high-performing and elastic compute solutions.
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
Task Statement 3: Determine high-performing database solutions.
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
Task Statement 4: 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
Task Statement 5: 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 Quick Sight)
- Data ingestion patterns (for example, frequency)
- Data transfer services with appropriate use cases (for example, AWS Data Sync, 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)
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)
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)
- 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)
IP Services
- Configure and verify inside source NAT using static and pools
- Configure and verify NTP operating in a client and server mode
- Explain the role of DHCP and DNS within the network
- Explain the function of SNMP in network operations
- Describe the use of syslog features including facilities and levels
- Configure and verify DHCP client and relay
- Explain the forwarding per-hop behaviour (PHB) for QoS such as classification, marking, queuing, congestion, policing, shaping
- Configure network devices for remote access using SSH
- Describe the capabilities and function of TFTP/FTP in the network
Security Fundamentals
- Define key security concepts (threats, vulnerabilities, exploits, and
mitigation techniques) - Describe security program elements (user awareness, training, and
physical access control) - Configure device access control using local passwords
- Describe security password policies elements, such as management, complexity,
and password alternatives (multifactor authentication, certificates, and biometrics) - Describe remote access and site-to-site VPNs
- Configure and verify access control lists
- Configure Layer 2 security features
(DHCP snooping, dynamic ARP inspection, and port security) - Differentiate authentication, authorization, and accounting concepts
- Describe wireless security protocols (WPA, WPA2, and WPA3)
- Configure WLAN using WPA2 PSK using the GUI
Automation and Programmability
- Explain how automation impacts network management
- Compare traditional networks with controller-based networking
- Describe controller-based and software defined architectures
(overlay, underlay, and fabric)- Separation of control plane and data plane
- North-bound and south-bound APIs
- Compare traditional campus device management with Cisco DNA Center
enabled device management - Describe characteristics of REST-based APIs
(CRUD, HTTP verbs, and data encoding) - Recognize the capabilities of configuration management mechanisms Puppet,
Chef, and Ansible - Interpret JSON encoded data
Key Highlights of the AWS Certification Course
- Online Practice Labs
- Certification
- No Cost EMI Option
- Dedicated Student Mentor
- Industry-grade Projects
- Self-Paced Videos
- 60+ Industry Projects
Job Opportunities After Completing AWS Certification Course
- Cloud Support Engineer - Developer & Mobile Services
- Automation Analyst
- Amazon - Selling Partner Support Associate
- AWS Team Manager - Trust & Safety
- Cloud Support Associate
Top Skills You Will Learn in the AWS Certification Course
- Cloud Provider Selection
- Application Migration
- Autoscaling
- Cloud Workloads
- Identity Access Management (IAM)
Minimum Eligibility - AWS Course
- Learners interested in cloud computing: Individuals who want to understand basic cloud concepts, AWS Cloud terminology, and the core services offered by AWS.
- No coding experience required: The course is designed for those who do not have prior programming knowledge but are eager to learn cloud technology.
- Business leaders and IT professionals: The course is suitable for business leaders, managers, and IT professionals looking to gain a solid foundation in cloud computing and AWS services to make informed decisions and drive digital transformation within their organizations.
Amazon Web Services Course Categories
- Define the Cloud and How It Works
- Explain the Benefits of the AWS Cloud
- Gain a Deeper Understanding of AWS Core Services
- Describe Security Services with the AWS Cloud
- Identify AWS Management Services and Their Use
- Compare the Different Methods of Interacting with AWS
AWS Certification Course – Training at SMEClabs
Achieve a Rewarding Career as a AWS Engineer with SMEClabs
Embark on a successful career in cloud computing with the AWS Certification Course at SMEClabs. Our comprehensive training program equips you with the skills and knowledge required to become a proficient AWS Engineer. You will gain expertise in managing cloud infrastructure, working with key AWS services like EC2, S3, and Lambda, and mastering security, networking, and monitoring within AWS environments. With hands-on training, expert instructors, and industry-recognized certification, SMEClabs prepares you to excel in the rapidly growing cloud sector. Take the first step towards a rewarding career by enrolling today and become a sought-after AWS Engineer.
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AWS Certification Course: FAQ
What is AWS Certifiacation?
AWS (Amazon Web Services) is a comprehensive and widely adopted cloud platform offering over 200 fully featured services from data centers globally. AWS provides a range of cloud services including computing power, storage options, networking, and machine learning, helping businesses scale and grow efficiently.
Who can take the AWS Certification Course?
The AWS Certification Course is ideal for anyone interested in cloud computing, including developers, IT professionals, system administrators, and business leaders looking to gain knowledge in cloud infrastructure and AWS services. It is also suitable for fresh graduates or anyone wanting to start a career in cloud technologies.
What are the prerequisites for taking the AWS Certification Course?
There are no strict prerequisites for the course. However, having a basic understanding of networking, operating systems, and cloud concepts will be beneficial. The course is designed for both beginners and professionals.
How will AWS certification help my career?
AWS certification validates your cloud expertise, making you more attractive to employers. It can open up opportunities for job roles like Cloud Architect, Cloud Engineer, DevOps Engineer, and more. It also provides career growth, better job prospects, and higher earning potential.
What is included in the AWS Certification course at SMEClabs?
The AWS Certification course at SMEClabs includes hands-on training in core AWS services like EC2, S3, IAM, RDS, Lambda, and more. It also covers security, monitoring, and networking services within AWS. Additionally, SMEClabs provides real-world projects, practice exams, and job assistance to ensure you’re fully prepared for the certification exam.