Course
Serverless Applications with AWS Lambda
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Prerequisites
Introduction to PythonIntermediate PythonIntroduction to AWS Boto in PythonFoundations of Lambda Function Development
Event Processing, Error Handling & Connectivity
Integrations, Scaling & Performance Optimization
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FAQs
What can I build after completing this course?
You will be able to build event-driven serverless applications on AWS, such as real-time order processing pipelines, S3-triggered data workflows, and scalable API backends using Lambda and API Gateway.
Which AWS services and Python tools does this course cover?
The course uses Lambda, S3, DynamoDB, SQS, Kinesis, EventBridge, and IAM, along with the boto3 SDK and aws-lambda-powertools for writing and testing functions.
How does this course address performance and cost optimization?
Chapter 3 covers memory tuning, connection reuse, caching, and concurrency controls, showing how to reduce cold start latency and avoid common misconfigurations that increase costs.
What AWS services and concepts does this Lambda course cover?
You learn Lambda handlers, event-driven architectures, error handling with retries and dead letter queues, VPC connectivity, AWS SDK integrations, concurrency controls, and deployment strategies.
Does this course include hands-on practice in a real AWS environment?
Yes. Every concept is reinforced with hands-on exercises in a live AWS Console, giving you practical experience configuring and operating Lambda functions.
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