AWS Bedrock Essentials: Build Generative AI Applications โ€” WalkSelf
โฑ 2h 30m ๐Ÿ“š 25 lessons

AWS Bedrock Essentials: Build Generative AI Applications

Learn to integrate, prompt, and scale foundation models using AWS Bedrock to build production-ready generative AI applications.

  • 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

Generative AI is transforming how we build software, but managing multiple foundation models and complex machine learning infrastructure can be overwhelming. This text-based course simplifies the process by teaching you how to leverage AWS Bedrock as a single, unified API to access leading AI models. You will learn to easily build, configure, and scale intelligent applications without managing underlying servers. By completing this course, you will transition from understanding basic AI concepts to confidently deploying production-ready generative AI workflows. You will master the fundamentals of model selection, prompt engineering, and secure API integration within the AWS ecosystem. What you'll learn: - Understand core generative AI concepts, foundational model architecture, and the AWS Bedrock environment - Configure and call diverse foundation models from top providers using a single, unified API - Apply effective prompt engineering techniques directly in your application code for optimal model responses - Implement Retrieval-Augmented Generation (RAG) patterns to connect models to custom text data sources - Secure your AI applications using AWS Identity and Access Management (IAM) and data privacy best practices - Monitor and optimize model performance, latency, and API costs for production workloads The course begins with foundational definitions of large language models and a clear introduction to the AWS Bedrock playground. From there, you will progress through written, step-by-step implementation guides that teach you how to write clean integration code, handle model parameters, and structure secure AI workflows. This course is designed for software developers, cloud enthusiasts, and technology professionals who are new to generative AI development on AWS. No prior machine learning or AI experience is required, though a basic familiarity with cloud concepts and general programming is helpful. Start reading today to build and deploy your first secure generative AI application on AWS Bedrock.

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.
  • 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
    2h 30m of practical content

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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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