• views: 128
• date: 8 June 2026
• posted by: voska89

What you'll learn

Learn AWS Lambda Durable Functions to write stateful, long-running workflows directly in plain jаvascript without complex external tools.
Master the checkpoint-and-replay model to understand exactly how AWS Lambda automatically saves progress, exits, and resumes without losing state.
Build complex serverless applications including the Saga pattern for automatic rollbacks, parallel API engines, and AI fraud detection agents.
Ensure production-grade reliability using AWS CDK for IaC, the native testing framework, and CloudWatch for observability.

Requirements

Basic understanding of AWS services including Lambda, S3, DynamoDB and IAM
Fundamentals of jаvascript
Active AWS account for creating resources

Description

AWS Lambda Durable Functions: From Zero to Hero
You're building a workflow that includes payment confirmation, human approval, and an external API call that takes hours. On regular Lambda, you reach for SQS, DynamoDB state tables, and Step Functions JSON and end up with five services stitched together with glue code that breaks in ways you can't predict.
Until now, coordinating multi-step asynchronous processes on AWS meant manually stitching together SQS queues, maintaining custom state tables in DynamoDB, or wrestling with massive, unreadable Step Functions JSON/YAML definitions. Worse, you were constantly fighting the hard 15-minute execution limit of standard stateless Lambda functions.
AWS Lambda Durable Functions change everything.
This new execution model lets you write long-running, stateful workflows that can run for up to one full year entirely in code. Workflows automatically pause while waiting for payments, human approvals, callbacks, or external events, then resume exactly where they left off without losing state. They survive failures, handle retries natively, and charge you zero compute costs while suspended.
No orchestration glue code. No custom state tables. No workflow spaghetti. Just durable serverless workflows written using the Lambda programming model you already know.
This course takes you from the fundamentals of Durable Functions to building resilient, production-ready serverless systems.
Why Learn From This Course?
This isn't a shallow overview of the documentation.
The curriculum is built by an AWS-certified engineer whose AWS courses have been featured on freeCodeCamp and who contributed bug fixes directly to the official AWS Durable Functions SDK.
You'll learn how Durable Functions behave in real-world environments, inspect execution histories and CloudWatch logs, understand replay behavior, troubleshoot failures, implement retries, and apply production-grade engineering patterns that go far beyond simple demos.
What You Will Build
QuantaSneaks Drop E-Commerce System: Build a distributed sneaker drop platform that coordinates multiple Lambda functions, manages workflow state, integrates AI risk scoring, and implements a real human-in-the-loop approval process.
When an order is rejected, a Saga Pattern automatically compensates payment.

What you'll learn

• Checkpoint & Replay Internals
• Durable Operations & Workflow Design
• waitForCondition, waitForCallback & Heartbeats
• Parallel Execution & Map Operations
• Retry Strategies & Failure Recovery
• Idempotency & Execution Semantics
• Saga Pattern & Distributed Transactions
• Human in Workflows
• Testing Durable Functions
• CloudWatch Observability & Execution History
• Infrastructure as Code with AWS CDK

Requirements

• Basic AWS knowledge (Lambda, IAM, CloudWatch)
• jаvascript fundamentals
• AWS Account (Free Tier is sufficient)
If you want to master one of AWS's most powerful new serverless capabilities before it becomes mainstream, this course is for you. The window to learn this before it becomes mainstream is right now. Enroll and be ahead of it.

Who this course is for

Backend Developers & AWS Engineers who are tired of over-engineering architectures by stitching together SQS, Step Functions, and DynamoDB just to coordinate a few Lambda functions.
AI Engineers building LLM pipelines or human-in-the-loop applications who need workflows that can suspend for hours or days without burning unnecessary compute.
AWS Cloud Architects who want to gain a massive competitive edge by mastering a brand-new, game-changing AWS service before it becomes mainstream.




   
   
   

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