Amazon Web Services AWS Training Courses

Learn AWS Cloud fundamentals, including core services, security, architecture, pricing, support and the Shared Responsibility Model, with certification preparation.

Learn AWS fundamentals across EC2, Lambda, VPC, S3, EBS, RDS, DynamoDB, IAM and CloudWatch, with practical guidance on secure and scalable cloud solutions.

Learn to develop secure and scalable applications on AWS using AWS SDKs, development tools, cloud services and recommended development practices.

Develop practical AWS cloud operations skills covering deployment, configuration, automation, monitoring, security and troubleshooting.

Develop AWS DevOps skills in Infrastructure as Code, CI/CD, CloudFormation, deployment automation, containers, monitoring and blue/green deployment patterns.

Learn to design resilient AWS architectures using VPC, EC2, storage, databases, monitoring, automation, serverless services, security and the Well-Architected Framework.

Develop advanced AWS architecture skills for designing secure, resilient and scalable solutions across complex cloud and hybrid environments.

Learn to design and manage AWS data warehouses using Amazon Redshift, S3, data loading, security, performance tuning, monitoring, backup and business intelligence.

Learn AWS security fundamentals covering IAM, data protection, encryption, VPC security, monitoring, DDoS mitigation, incident response and shared responsibility.

Develop AWS security engineering skills in IAM, VPC security, data protection, logging, monitoring, compliance, automation and cloud incident response.

Learn to develop generative AI applications on AWS with this advanced course. Explore Amazon Bedrock, prompt engineering, and architecture patterns.

Understand generative AI, prompt engineering, responsible use, AWS services and practical steps for planning an organisational AI project.

Learn to assess, plan and carry out AWS cloud migrations using migration strategies, landing zones, discovery tools, migration services and post-migration optimisation.

Learn to build, operate and secure Kubernetes environments with Amazon EKS, including deployment, GitOps, networking, observability, storage and scaling.

Develop production-ready MLOps skills on AWS covering SageMaker, orchestration, CI/CD, testing, scaling, governance, monitoring and automated retraining.

Learn to engineer scalable machine learning solutions on AWS using SageMaker AI, EMR, data processing, ML pipelines, CI/CD, security and model monitoring.

Learn to build, train, evaluate, tune and deploy machine learning models on AWS using Amazon SageMaker and a practical end-to-end ML pipeline.