AWS courses can help you learn cloud computing fundamentals, deployment strategies, data storage solutions, and server management. You can build skills in configuring virtual networks, optimizing cloud resources, and implementing security protocols. Many courses introduce tools like Amazon EC2 for scalable computing, Amazon S3 for storage management, and AWS Lambda for serverless applications, illustrating how these skills are applied in real-world cloud environments.

Duke University
Skills you'll gain: Cloud Deployment, Cloud-Native Computing, Cloud Platforms, Application Deployment, Microservices, Cloud Computing, DevOps, Kubernetes, Cloud Management, Continuous Delivery, Containerization, Amazon Web Services, Serverless Computing, Virtual Machines, Performance Testing, Virtualization and Virtual Machines, System Monitoring, Flask (Web Framework), Performance Stress Testing, Continuous Monitoring
Beginner · Course · 1 - 4 Weeks

Whizlabs
Skills you'll gain: Containerization, CI/CD, Amazon Web Services, Devops Tools, Software Development Tools, Kubernetes, Computer Programming Tools, Cloud Development, Development Environment, Web Development Tools, Application Deployment, Continuous Integration, Continuous Deployment, Application Performance Management, Code Review, Frontend Integration
Intermediate · Course · 1 - 4 Weeks

Amazon Web Services
Skills you'll gain: Live Streaming, Amazon Web Services, Cloud-Based Integration, Cloud Services
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Cloud Deployment, Application Deployment, Amazon Web Services, Google Cloud Platform, Amazon CloudWatch, Cloud Applications, Application Performance Management, Kubernetes, Cloud Services, Serverless Computing, System Monitoring, Containerization
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Rust (Programming Language), Containerization, Data Pipelines, CI/CD, Docker (Software), Jenkins, Application Deployment, DevOps, LLM Application, Continuous Integration, Hugging Face, Large Language Modeling, Test Case, Restful API, Serverless Computing, Generative AI, Command-Line Interface, Natural Language Processing, Computer Programming, Cloud Computing
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Model Training, Model Deployment, Exploratory Data Analysis, Model Evaluation, Cloud Deployment, Data Preprocessing, Data Analysis, Data Wrangling, Model Optimization, Amazon Redshift, Amazon Elastic Compute Cloud, Amazon CloudWatch, Application Deployment, AWS Kinesis, Data Pipelines, Extract, Transform, Load, Regression Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: AWS SageMaker, Amazon Web Services, Model Deployment, Image Analysis, Applied Machine Learning, Model Training, Machine Learning Algorithms, Data Preprocessing, Computer Vision, Deep Learning, Machine Learning
Advanced · Guided Project · Less Than 2 Hours

Amazon Web Services
Skills you'll gain: AI Security, Responsible AI, Data Governance, AWS Identity and Access Management (IAM), Cloud Security, AI Integrations, Amazon Web Services, Threat Modeling, Security Controls
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Internet Of Things, Network Protocols, Cloud Computing Architecture, Amazon Web Services, Cryptographic Protocols, Cloud Deployment, Cloud Engineering, Embedded Systems, TCP/IP, IT Automation, Cloud-Based Integration, Communication Systems, Python Programming, Authentications, Network Security, Program Development, System Configuration, Encryption, Software Installation, Real Time Data
Beginner · Course · 1 - 3 Months

Skills you'll gain: AWS SageMaker, Model Evaluation, Applied Machine Learning, Model Training, Predictive Modeling, Machine Learning Software, Machine Learning, Machine Learning Methods, Machine Learning Algorithms, Amazon Web Services, Model Optimization, Regression Analysis, Data Analysis
Beginner · Guided Project · Less Than 2 Hours

Skills you'll gain: Amazon Redshift, AWS Identity and Access Management (IAM), AWS SageMaker, Amazon Web Services, AWS Kinesis, Amazon DynamoDB, Identity and Access Management, Amazon S3, Encryption, Data Infrastructure, Data Pipelines, Apache Spark, Dataflow, Big Data, Apache Hive, Data Storage Technologies, Kibana, Data Visualization Software, Data Storage, Data Visualization
Advanced · Specialization · 1 - 3 Months

Duke University
Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Data Engineering, Exploratory Data Analysis, Data Pipelines, Model Training, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Applied Machine Learning, Machine Learning Methods, Machine Learning, Python Programming
Advanced · Course · 1 - 3 Months