Amazon Web Services (AWS) Courses and Certifications

Cloud Computing Technologies - Master's

Explore cloud computing fundamentals, technologies, and design patterns. Learn to deploy scalable applications, manage resources, and implement security measures using industry-standard tools and platforms.

• Coursera
• 3 days 12 hours 13 minutes
• Self-Paced
• Paid Course

Whizlabs

AWS DynamoDB Fundamentals

Learn NoSQL database concepts, DynamoDB operations, indexes, global tables, and backups. Gain practical skills through lab demonstrations and assessments to become a proficient AWS database professional.

• Coursera
• 14 hours 20 minutes
• Self-Paced
• Paid Course

Cloud Computing Security - Master's

Master cloud security principles and practices across major platforms. Identify and mitigate risks in identity management, data protection, and network security. Apply knowledge through hands-on labs and real-world scenarios.

• Coursera
• 2 days 11 hours 24 minutes
• Self-Paced
• Paid Course

LearnKartS

Data Engineering Foundations on AWS

Discover AWS data engineering fundamentals through hands-on experience with S3, EBS, EFS, ETL pipelines, SQL, and data modeling to build job-ready cloud skills for in-demand roles.

• Coursera
• 5 hours 21 minutes
• Self-Paced
• Paid Course

Cloud Computing Security - Bachelor's

Master cloud security fundamentals and practices across major platforms, implementing robust protection for data, networks, and applications through hands-on labs and real-world scenarios.

• Coursera
• 2 days 11 hours 14 minutes
• Self-Paced
• Paid Course

Serverless Agentic Workflows with Amazon Bedrock

Master building secure, scalable AI customer service agents using Amazon Bedrock's serverless architecture. Create agents with guardrails, integrate CRM systems, and implement automated workflows for real-world support scenarios.

• Coursera
• 1 hour 3 minutes
• Self-Paced
• Paid Course

Packt Career Certificate

Data Engineering on AWS - The Complete Training

Master AWS data engineering by building scalable pipelines, processing big data with EMR, streaming with Kinesis, and creating data lakes using Glue, Redshift, and other key services.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Terraform in AWS from Basics to Guru: Unit 1

Master Terraform fundamentals and AWS infrastructure automation through hands-on labs covering commands, security groups, instances, and deployment strategies.

• Coursera
• 7 hours 17 minutes
• Self-Paced
• Paid Course

Pragmatic AI Labs Career Certificate

AI Tooling

Master generative AI on AWS, from Amazon Bedrock fundamentals to deploying serverless multi-model systems, covering security, orchestration, agentic AI, and SaaS development with Rust and Python.

• Coursera
• 20 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 20 courses

Edureka

Power BI Integration with AWS and Snowflake

Learn to integrate Power BI with AWS and Snowflake for advanced data modeling, hosting, and visualization. Enhance analytical skills through hands-on experience with cloud-based data management and visualization tools.

• Coursera
• 7 hours 39 minutes
• Self-Paced
• Paid Course

Generative AI in Deployment Training

Master AI-powered deployment automation using GitHub Copilot, Terraform, Docker & Kubernetes to streamline DevOps workflows from planning to finalization.

• Coursera
• 6 hours 7 minutes
• Self-Paced
• Paid Course

Packt

Securing Hosts, Network, and Edge in AWS

Master AWS infrastructure security by implementing robust protection for hosts, networks, and edge resources through specialized encryption, monitoring, and DDoS mitigation techniques.

• Coursera
• 7 hours 19 minutes
• Self-Paced
• Paid Course

Packt Career Certificate

SCS-C02: AWS Certified Security - Specialty

Master AWS cloud security essentials, from securing hosts and networks to implementing encryption, monitoring, and incident response strategies. Prepare for the SCS-C02 certification while building practical security expertise.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Coursera

Advanced Data Science Techniques (with AWS Integration)

Master sophisticated ML models and AWS deployment through hands-on projects covering feature engineering, time series analysis, and cloud-based machine learning pipelines.

• Coursera
• 1 day 5 hours 29 minutes
• Self-Paced
• Paid Course

Google Cloud Compute and Scalability for AWS Professionals

Explore compute resources and load balancing in Google Cloud, comparing with AWS. Hands-on practice configuring VMs, VPCs, routing, firewalls, and managed instance groups for efficient cloud architecture.

• Coursera
• 4 hours 5 minutes
• Self-Paced
• Paid Course