AWS-CLOUD · 3 WEEKS · 71 LESSONS
AWS AI Analytics: Building High-Performance Systems with Rust
Build high-performance AWS AI analytics systems using Rust, focusing on efficiency, telemetry, and production-grade implementations
Master AWS AI analytics systems with a focus on high-performance implementations using Rust. This comprehensive course covers AWS Bedrock integration, Lambda optimization, and intelligent code transformation pipelines. Learn to build efficient analytics systems that leverage generative AI, implement telemetry collection, and optimize serverless architectures. Gain hands-on experience with AWS services while applying best practices for system instrumentation, resource utilization, and production deployment using modern development tools like Amazon Q and CodeCatalyst.
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 AI analytics systems with a focus on high-performance implementations using Rust. This comprehensive course covers AWS Bedrock integration, Lambda optimization, and intelligent code transformation pipelines. Learn to build efficient analytics systems that leverage generative AI, implement telemetry collection, and optimize serverless architectures. Gain hands-on experience with AWS services while applying best practices for system instrumentation, resource utilization, and production deployment using modern development tools like Amazon Q and CodeCatalyst.
Design and implement efficient telemetry collection systems using AWS services
Master Rust integration with AWS Bedrock for analytics applications
Build intelligent code transformation pipelines for Python to Rust conversion
Optimize AWS Lambda functions for performance and cost efficiency
03 — Syllabus
3 weeks, 71 lessons total.
- Key terms
- Course intro
- Course intro
- Course intro
- Analytics with AI overview
- Analytics with AI overview
- Key terms
- Lambda RUST cost comparison Analytics H264
- Lambda RUST cost comparison Analytics
- Lambda RUST cost comparison Analytics
- Lambda RUST cost comparison Analytics
- Rust python lambda benchmark with Claude Analytics demo
- Key terms
- Course conclusion
- Course conclusion
- Course conclusion
- 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.