AWS Lambda and Python: Building Serverless Applications โ€” LearnFlat
โ˜… 4.0 (4) โฑ 3h ๐Ÿ“š 30 lessons ๐ŸŽง Audio version

AWS Lambda and Python: Building Serverless Applications

Learn to develop scalable serverless solutions and integrate Generative AI using Python, Boto3, and AWS cloud services.

  • ๐Ÿ’ฌ AI instructor
    Ask about any lesson and get a clear answer instantly, anytime.
  • ๐Ÿ• Start anytime
    No schedules or deadlines โ€” learn at your own pace, whenever suits you.
  • ๐ŸŒ In English
    Lessons, tasks and certificate โ€” all fully in your language.

About this course

Modern cloud development is shifting away from managing servers toward event-driven architectures that scale automatically. This course provides a clear, text-based path for anyone looking to harness the power of AWS Lambda and Python to build efficient, cost-effective cloud solutions. You will transition from understanding basic cloud concepts to writing functional Python code that automates AWS resources and powers robust serverless APIs. By the end of this program, you will have the skills to design and deploy applications that respond to real-time data events and integrate with modern AI services. What you'll learn: - Understand core serverless concepts and the event-driven architecture of AWS Lambda - Write Python scripts using the Boto3 SDK to manage and automate cloud resources - Integrate AWS services like S3 and DynamoDB to build data-driven applications - Implement secure APIs using API Gateway and modern authorization patterns - Explore Generative AI integration by connecting Lambda functions with AWS Bedrock - Apply Infrastructure as Code principles using the AWS Cloud Development Kit (CDK) - Practice debugging and monitoring serverless functions for production environments The course begins with foundational definitions of cloud computing and essential Python syntax before moving into practical serverless patterns. You will progress through written explanations of real-world scenarios, including automated data processing pipelines and AI-powered manufacturing workflows. This course is designed for beginners with no prior coding or cloud experience who want to build a solid foundation in modern cloud engineering. No prerequisites are required to start. Begin your journey into the world of serverless development today.

What you'll get

  • ๐Ÿ“œ Certificate of completion
    Add it to your LinkedIn profile
  • ๐Ÿ’ฌ Personal AI tutor
    Stuck on a lesson? Ask your built-in tutor anything, any time.
  • ๐ŸŽง Audio version included
    Learn on the go โ€” no screen needed
  • โ™พ๏ธ Lifetime access
    Come back anytime, no expiry
  • ๐Ÿ“ฑ Phone or computer
    Works anywhere, any device
  • ๐Ÿ’ธ 14-day refund
    No questions asked
  • โšก Short & focused
    3h of practical content

Reviews (4)

Marek Rand EE Verified learner
โ˜… 5 ยท June 27, 2026

Brilliant course! The flow of information was perfect, and the examples really solidified the concepts. Loved it!

Elin Nilsen NO Verified learner
โ˜… 3 ยท June 24, 2026

Pretty informative. I liked the practical application examples, though the initial setup took longer than I expected.

AyลŸe Yฤฑlmaz TR Verified learner
โ˜… 4 ยท June 11, 2026

Really enjoyed the flow of this. The examples were spot on and helped me grasp the material quickly. Great value.

Hรผseyin Koรง TR Verified learner
โ˜… 4 ยท May 31, 2026

This provided a good overview. The explanations were decent, but sometimes I wished for more practical application scenarios. Still, a valuable learning experience.

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Frequently asked

What do I need to take this course? +

Just a phone or computer with internet. No installs, no special hardware.

How do I pay? +

By card via Stripe. We donโ€™t store card details โ€” Stripe handles them securely.

Can I get a refund? +

Yes โ€” full refund within 14 days, no questions asked.

How long will I have access? +

Forever. Once you purchase, the course is yours to revisit anytime.

Will I get a certificate? +

Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.

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