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Go from zero to hero by learning the fundamentals of cloud computing. Get hands-on with core AWS services like S3, EC2, and Lambda to build and deploy real applications.
In this Cloud Lab, you’ll learn to create a content moderation system using Amazon Bedrock by integrating AWS services like EventBridge, SQS, Lambda, S3, and DynamoDB.
Build your own secure corner of the AWS cloud! Learn to create VPCs, configure public & private subnets, manage routing, and control internet access for your EC2 instances.
Go from zero to hero by learning the fundamentals of Amazon DynamoDB. Get hands-on with creating tables, adding data, and optimizing read performance with Queries, Scans, and Secondary Indexes.
Dive into serverless! Learn to create, configure, invoke, and manage AWS Lambda functions using the console, Function URLs, S3 triggers, and SDKs. Master versions and aliases for smooth deployments.
Learn how to automatically distribute web traffic! Build a resilient setup using an Application Load Balancer (ALB) connected to an EC2 Auto Scaling Group (ASG) for high availability.
Build a real-world facial recognition login system! Learn to use Amazon Rekognition, S3, EC2, and API Gateway to create a secure Flask application that verifies users based on their images.
Unlock the power of RAG! Learn how to build an Amazon Bedrock Knowledge Base using S3 for data and Aurora PostgreSQL as a vector store to create intelligent, context-aware AI applications.
Master the basics of Docker containers. Learn to run, manage, and understand containers from the ground up.
Master Dockerfile creation, multi-stage builds, and image optimization techniques for production-ready containers.
Master data persistence with Docker volumes, bind mounts, and storage strategies for stateful applications.
Master Docker networking including bridge networks, container DNS, port mapping, and multi-host networking concepts.
Build and manage multi-container applications with Docker Compose. Learn service orchestration, networking, and development workflows.
Learn to containerize machine learning models, manage Python environments, and deploy ML applications with Docker. Our unique differentiator course.
Master Docker security best practices, vulnerability scanning, secrets management, and production deployment patterns. Capstone course.
Master essential Linux skills by building a real AI project workspace. Learn to navigate the file system, organize files, and understand permissions—skills required for any cloud, DevOps, or engineering role.
Master the Linux command line by building a real log analysis pipeline. Learn pipes, redirection, grep, sed, and awk—essential skills for any DevOps, SRE, or data engineering role.
Master Linux user management and permissions by setting up a secure multi-user machine learning server. Learn to create users, manage groups, set permissions, and implement access controls—critical skills for any DevOps or SRE role.
Learn essential Linux system administration by managing a production API server. Master process control, service management, system monitoring, and scheduled tasks—the core skills every SRE, DevOps engineer, and system administrator needs daily.
Complete your Linux journey by mastering Bash scripting. Build a real server health monitoring dashboard that combines everything you've learned—file operations, text processing, permissions, and system administration—into automated tools.
Discover Infrastructure as Code and learn why Terraform is the industry standard. Set up your environment and explore Terraform's core concepts.
Master the essential Terraform workflow. Learn to initialize projects, preview changes, apply infrastructure, and clean up resources safely.
Deep dive into Terraform providers. Learn to configure, version, and work with multiple providers to manage cloud resources.
Master Terraform's configuration language. Learn to use variables for flexibility, outputs for sharing data, and expressions for dynamic configurations.
Master Terraform state management. Learn to configure remote backends, implement state locking, handle drift, and secure sensitive state data.
Build reusable, composable infrastructure modules. Learn module structure, inputs/outputs, registry modules, and versioning.
Master advanced Terraform operations and prepare for certification. Learn state commands, importing, debugging, HCP Terraform concepts, and exam strategies.
Learn to host a production-ready static website using Amazon S3 for storage and CloudFront as a global CDN. Master Origin Access Control (OAC) for secure content delivery.
Master array manipulation and string algorithms with 15 hands-on coding problems. Learn essential patterns like two pointers, sliding window, hash maps, and Kadane's algorithm that appear in 80% of coding interviews.
Master hash-based data structures with 12 hands-on coding problems. Learn frequency counting, caching patterns, deduplication, and the O(1) lookup techniques that make or break coding interviews.
Master linked list operations with 12 hands-on coding problems. Learn reversal, cycle detection, merging, two-pointer techniques, and the pointer manipulation skills essential for coding interviews.
Master stack and queue data structures with 12 hands-on coding problems. Learn monotonic stacks, expression evaluation, sliding window techniques, and the patterns that unlock efficient solutions to common interview problems.
Master tree data structures with 18 hands-on coding problems. Learn traversals, recursion patterns, BST operations, and the hierarchical thinking essential for coding interviews.
Master graph algorithms with 15 hands-on coding problems. Learn DFS, BFS, topological sort, shortest path with Dijkstra, and Union-Find patterns essential for FAANG coding interviews.
Master dynamic programming with 20 hands-on coding problems. Learn memoization, tabulation, 1D/2D DP, knapsack patterns, and the problem-solving framework essential for FAANG coding interviews.
Master search and sort algorithms with 12 hands-on coding problems. Learn binary search variations, quickselect, divide-and-conquer patterns, and the algorithmic techniques essential for FAANG coding interviews.
Labs matching this criteria are coming soon. We're continuously adding new content to expand your learning paths.
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