edX
edXGenerative AI and LLMs on AWS
310 studentsBEGINNEREnglish
Korshub's take
From Model to Marketplace
Deploying generative AI at scale is not about running a notebook on your laptop. This course prepares ML engineers and data scientists for production realities: cost constraints, regulatory checkboxes, monitoring systems, and the CI/CD pipelines that separate one-off experiments from reliable services.
You'll learn Amazon Bedrock as the vehicle, but the principles matter more—how to optimize both performance and cost, implement guardrails for responsible AI, and design rollouts that catch issues before they reach customers. Real-world case studies highlight the difference between getting it working and getting it into production safely.
About this course
Master deploying generative AI models like GPT on AWS through hands-on labs. Learn architecture selection, cost optimization, monitoring, CI/CD pipelines, and compliance best practices. Gain skills in operationalizing LLMs using Amazon Bedrock, auto-scaling, spot instances, and differential privacy techniques. Ideal for ML engineers, data scientists, and technical leaders.
Course Highlights:
- Choose optimal LLM architectures for your applications
- Optimize cost, performance and scalability with auto-scaling and orchestration
- Monitor LLM metrics and continuously improve model quality
- Build secure CI/CD pipelines to train, deploy and update LLMs
- Ensure regulatory compliance via differential privacy and controlled rollouts
- Real-world, hands-on training for production-ready generative AI
Unlock the power of large language models on AWS. Master operationalization using cloud-native services through this comprehensive, practical training program.
Price
$449
Advertisement
