Why Choose Kornerstone for AWS Training and Certifications?
AWS Training and Certification equips professionals with industry-recognized credentials, with 95% of customers citing AWS Certifications as important in their decision-making process when selecting cloud partners. Preparation for globally recognised AWS certifications enhances professional credibility and demonstrates validated expertise to employers.
Whether you are starting your cloud journey or advancing into areas like machine learning and modern application development, KORNERSTONE’s expert-led programme builds strong technical capabilities and supports growing demand for cloud, AI, and digital transformation skills across industries.
Browse all courses from Amazon Web Services AWS Certified
Amazon Web Services AWS Certified Explained
How to get certified
Amazon Web Services (AWS) provides one of the most recognized cloud certification frameworks globally. The program is structured across multiple experience levels to validate foundational knowledge, hands-on cloud skills, and advanced architecture expertise.
AWS Certification Levels
- Foundational: Entry-level certification validating understanding of AWS Cloud concepts, services, billing, and basic architecture principles. Example: AWS Certified Cloud Practitioner.
- Associate: Intermediate certifications for professionals working with AWS environments, validating skills in designing, developing, and operating cloud applications.
- Professional: Advanced certifications demonstrating the ability to design complex cloud architectures and manage enterprise-scale AWS solutions.
- Specialty: Certifications focused on specialized domains such as machine learning, security, networking, or data analytics.
Typical Certification Process
- Identify the certification aligned with your role (architect, developer, operations, etc.).
- Attend AWS instructor-led or digital training courses.
- Study the official exam guide and practice with sample questions.
- Schedule the certification exam through an authorized testing provider.
- Pass the exam to earn the AWS certification and digital credential.
AWS certifications validate cloud expertise and help organizations identify professionals capable of designing, deploying, and managing modern cloud environments.
Technologies covered
AWS training and certifications cover the core technologies required to design, deploy, secure, and manage cloud infrastructure and modern digital applications.
Core AWS Technologies
- Cloud Infrastructure & Compute: Amazon EC2, Auto Scaling, Elastic Load Balancing, and high-availability infrastructure design.
- Storage & Databases: Amazon S3, EBS, RDS, DynamoDB, and scalable data storage architectures.
- Networking & Hybrid Cloud: Amazon VPC, Direct Connect, Route 53, and hybrid cloud networking.
- Security & Identity: AWS IAM, encryption, compliance controls, and cloud security frameworks.
- DevOps & Automation: CI/CD pipelines, infrastructure as code, monitoring, and automated deployments.
- Containers & Serverless: Amazon EKS, ECS, AWS Lambda, and microservices architecture.
- Data, Analytics & AI: Amazon Redshift, Athena, SageMaker, data lakes, and machine learning solutions.
These technologies enable organizations to build scalable, secure, and highly available applications on the AWS cloud platform.
Job roles
AWS training and certifications prepare professionals for a wide range of cloud computing roles across architecture, development, operations, and data engineering.
Common AWS Job Roles
- Cloud Solutions Architect: Designs scalable and secure cloud architectures using AWS services.
- Cloud Engineer / Cloud Administrator: Deploys, manages, and maintains cloud infrastructure and workloads.
- DevOps Engineer: Implements CI/CD pipelines and automates cloud infrastructure deployment.
- Site Reliability Engineer (SRE): Maintains system reliability, scalability, and monitoring for cloud environments.
- Cloud Security Engineer: Implements cloud security policies, identity management, and compliance controls.
- Data Engineer / Data Architect: Builds data pipelines, analytics platforms, and data lakes on AWS.
- Machine Learning Engineer: Develops AI and machine learning models using AWS AI services such as SageMaker.
These roles are widely demanded as organizations migrate workloads, applications, and data platforms to the AWS cloud.
