AWS · 4 WEEKS · 58 LESSONS
AWS Generative AI Services
Build enterprise-grade AI applications using AWS's latest generative AI services
Master AWS's comprehensive suite of generative AI services including Bedrock, Amazon Q Developer, and SageMaker Canvas. Learn to implement Retrieval Augmented Generation (RAG), work with foundation models, optimize costs, and build production-ready AI systems. This hands-on course covers enterprise security, service integration, and infrastructure foundations for building robust AI applications.
01 — What learners say
Real feedback from real learners.
“The Rust Fundamentals course was fantastic for formalizing my base Rust knowledge. It was well-paced for both beginner and experienced developers.”
“The course was incredibly informative and well-structured. I gained practical skills that immediately applied in my work, making it a highly valuable learning experience.”
“The course on AI Fundamentals is not only engaging but also practical. Having worked with AWS before, the way it explained Azure cncepts made switching seamless and easy to grasp.”
“I can say that it's a great series of courses for those who are looking to practical MLOps knowledge.”
“This course got clear videos, exercises, and questions, and there are extra resources too. When you're done, you'll have a solid foundation to dive into topics like DevOps or ML.”
02 — Why this course
What you'll walk away with.
Master AWS's comprehensive suite of generative AI services including Bedrock, Amazon Q Developer, and SageMaker Canvas. Learn to implement Retrieval Augmented Generation (RAG), work with foundation models, optimize costs, and build production-ready AI systems. This hands-on course covers enterprise security, service integration, and infrastructure foundations for building robust AI applications.
Implement RAG systems using Bedrock and integrate with enterprise data sources
Build AI-powered development workflows using Amazon Q Developer
Deploy and manage foundation models with optimized cost and performance
Create no-code ML solutions using SageMaker Canvas
03 — Syllabus
4 weeks, 58 lessons total.
- Generative AI foundations
- Tokenization concepts
- Multi model architecture
- Key terms
- Lab
- Quiz
- Q developer intro
- Q developer Intellij
- Q developer Vscode setup
- Key terms
- Lab
- Quiz
- Bedrock Provisioned Throughput
- Setup Provisioned Throughput
- Key terms
- Lab
- Quiz
- Reflection
- Sagemaker canvas intro
- Canvas UI overview
- Canvas Dataset usage
- Key terms
- Lab
- Quiz
04 — For teams
Custom training for your company.
We're ready to deliver this and other courses to your team. We accommodate different requirements and are flexible with seat count.
- +Bulk pricing available
- +Customizable content
- +Ready to start on your schedule
05 — Individual access
Simple, straightforward pricing.
Full platform access — every current and future course — priced so cost isn't what decides whether you learn.
No commitment required. Cancel anytime.