Most people don’t struggle with AWS because AWS is hard.
They struggle because Python and serverless concepts become hidden roadblocks.
If you come from a low-code / no-code background, or if coding never came naturally to you, this course is built for you.
I come from an Informatica ETL background myself. I avoided coding early in my career until a senior leader told me something that changed everything:
“If you want to grow, you need scripting and automation.”
That pushed me to Python — and later to AWS Lambda. And to my surprise, Python was approachable, and Lambda made AWS feel simple instead of overwhelming.
This course is not about turning you into a Python expert or a cloud admin.
It is designed to help you move forward with AWS data engineering by:
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Teaching just enough Python to work confidently in AWS
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Applying Python inside AWS Lambda, not in isolation
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Explaining serverless and event-driven architecture in plain language
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Showing how Lambda is used in real data engineering workflows
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Teaching you how Lambda is configured, priced, logged, and secured
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Helping you understand when to use Lambda — and when not to
You’ll learn:
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Core Python concepts that matter for AWS
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How Lambda functions work (handler, event, context)
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How to debug using CloudWatch logs
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How IAM roles and permissions affect Lambda
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How to use Boto3 to interact with AWS services
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How Lambda fits into real-world architectures alongside services like Glue
By the end of this course, you won’t just “know Python basics”.
You’ll be able to:
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Read and modify Python code used in AWS
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Build and test Lambda functions with confidence
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Understand event-driven workflows
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Make informed architectural decisions as a data engineer
This course removes the friction that stops you from progressing in AWS — and prepares you for deeper data engineering work ahead.