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Course

Deploying Applications on AWS

IntermediateSkill Level

Updated 06/2026

Deploy, secure, and operate apps on AWS with Lambda, API Gateway, Cognito, IAM, CloudWatch, and X-Ray. Hands-on prep for the DVA-C02 exam.

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AWSCloud

3 hr

12 videos

45 Exercises

3,150 XP

Statement of Accomplishment

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Course Description

You've written the code; now learn to ship it. This course teaches you how to deploy, secure, and operate applications on AWS the way production teams do. Build decoupled architectures with API Gateway, Lambda, SQS, SNS, and EventBridge; lock them down with Amazon Cognito, IAM, and encryption; then keep them healthy with CloudWatch, X-Ray, and cost-and-performance tuning. Through interactive simulators and hands-on AWS console exercises, you'll practice the real deployment skills tested in the AWS Certified Developer - Associate (DVA-C02) exam and used every day to run reliable cloud applications.

Prerequisites

Introduction to Python Intermediate Python Introduction to AWS Boto in Python

1

Building Applications for AWS Deployment

Learn how to design applications that fit AWS's deployment model. By the end of this chapter, you will be able to pick architectural patterns that work in the cloud, build APIs with Amazon API Gateway request and response transformations and validation, and wire event-driven workflows with Amazon EventBridge, Amazon SQS, Amazon SNS, and Amazon Kinesis Data Streams.

Application architecture patterns on AWS

Identify the resilience pattern

Match architecture patterns to scenarios

Decouple two services with Amazon SQS

Building APIs with Amazon API Gateway

Pick the right integration type

Spot the validation gap

Match API Gateway features to use cases

Event-driven patterns with EventBridge

Filter a fanout with SNS subscription filter policies

Classify messaging services to use cases

Route events with an Amazon EventBridge rule

2

Configuring and Securing Deployed Applications

Learn how to configure AWS Lambda for production and secure the applications you deploy. By the end of this chapter, you will be able to tune Lambda memory, timeout, concurrency, layers, and VPC access, authenticate end users with Amazon Cognito, authorize service-to-service calls with IAM roles, and manage encryption and certificates with AWS KMS, AWS Certificate Manager, and AWS Private CA.

Configuring AWS Lambda for production

Pick the right error-handling strategy

Match Lambda configuration knobs to outcomes

Tune a Lambda function for a workload

Authenticating end users with Amazon Cognito

Pick the right Cognito token

Match Cognito components to use cases

Identify the federated identity flow

Authorizing service access with IAM

Pick the right credential strategy

Identify the policy that grants access

Classify IAM concepts

Encryption and certificate management on AWS

Request an ACM certificate

Classify encryption concepts

Pick the right KMS key rotation strategy

3

Observing and Optimizing Deployed Applications

Learn how to operate an application once it is deployed. By the end of this chapter, you will be able to emit logs, custom metrics, and traces, query CloudWatch Logs Insights to find errors, trace requests across services with AWS X-Ray, troubleshoot common failures, and tune performance with concurrency settings, caching, and resource right-sizing.

Logging and metrics with Amazon CloudWatch

Build a CloudWatch dashboard for on-call

Match CloudWatch features to use cases

Create a CloudWatch metric filter

Distributed tracing with AWS X-Ray and structured logging

Identify the bottleneck segment

Classify observability concepts

Read structured logs in CloudWatch

Troubleshooting deployed applications

Identify the troubleshooting next step

Match symptoms to root causes

Run a CloudWatch Logs Insights query

Performance and resource optimization

Right-size a Lambda function

Classify caching strategies

Pick the right Lambda concurrency setting

Congratulations

Deploying Applications on AWS

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