// 8 courses indexed
The course directory
Every course we track across 10+ providers, in one searchable index. Want a shortlist picked for your goals? Run a free skill gap analysis.
Optimizing Spark and Cloud Data Storage for Analytics
You will master advanced performance optimization techniques for large-scale data processing using Apache Spark and cloud storage technologies. In this hands-on course, you'll learn to diagnose and resolve performance bottlenecks that plague distributed data systems, implement strategic partitioning and caching strategies that can improve job performance by 30% or more, and design secure, cost-effective cloud data infrastructure. You will gain expertise in transactional data lake technologies like Delta Lake, evaluate storage formats to optimize analytical workloads, and provision enterprise-
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Advanced AWS Architecture, Scaling & Automation
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this advanced course, you will dive deep into the world of AWS architecture, focusing on critical concepts like scalability, load balancing, auto-scaling, caching, and automation. You will understand how AWS tools and services can be utilized to design highly efficient, scalable, and automated cloud architectures. By exploring real-world use cases and hands-on examp
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Core AWS Services
Master essential AWS services and gain practical, hands-on skills to design, deploy, and manage cloud solutions confidently. Start with EC2 basics, then move on to AMIs, public vs private IPs, elastic IPs, AWS storage ( discussing S3 & in-depth looking at S3 encryption, CloudFront-CDN & Glacier ), understand scalable storage solutions for your data, and explore Content delivery systems/ Data Protection. Laying the Groundwork: Establish a solid cloud network by mastering Route53, DNS, health checks, DNS resolution, and VPC/Subnet/ACLs at an architectural level to design secure and scalable clo
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AWS Cloudfront: Serve content from multiple S3 buckets
In this 2-hour long project-based course, you will learn how to serve content from multiple S3 buckets using AWS CloudFront from the AWS console Amazon CloudFront is a fast content delivery network (CDN) service that securely delivers data, videos, applications, and APIs to customers globally with low latency, high transfer speeds, all within a developer-friendly environment. Whereas Amazon Simple Storage Service (Amazon S3) is an object storage service that offers industry-leading scalability, data availability, security, and performance. By completing the steps in this guided project, you w
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Performance Optimization and Scalability
This course focuses on performance optimization and scalability in application development. You'll learn key techniques like caching, query optimization, and load balancing while using Microsoft Copilot to improve application code and database query performance. By the end of the course, you will be able to… Define the concepts and importance of caching, query optimization, and principles of scalability in application performance Explain how to implement in-memory and distributed caching, indexing strategies, and architectural patterns for scalability Describe techniques for analyzing quer
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Designing Database Solutions on AWS
AWS Database Services and High Availability is designed to help learners build a strong understanding of managed database services available on AWS and the architectural considerations involved in building highly available, scalable, and resilient database solutions. The course introduces Amazon RDS, DynamoDB, Amazon Aurora, Aurora Global Database, and Amazon ElastiCache, covering relational, NoSQL, cloud-native, global database, and in-memory caching capabilities. The course is divided into three modules, with each module further segmented into lessons and video lectures. Learners will explo
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Advanced GraphQL for Developers: Optimize & Scale Modern API
Ready to scale your GraphQL expertise to an enterprise level? This course is your deep dive into performance tuning, schema federation, and seamless integrations. Learn how to optimize APIs, break monoliths into federated services, and connect GraphQL to the full stack—from databases to frontends. Use Apollo Federation, DataLoader, and popular frameworks like React, Vue, and Next.js. Module 1 focuses on performance—caching, pagination, rate limiting, and bulletproof error handling. Module 2 introduces schema federation using Apollo Gateway and subgraphs for scalable API design. Module 3 bring
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