AI Engineer Production Track: Deploy LLMs & Agents at Scale✓ VERIFIED
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AI Engineer Production Track: Deploy LLMs & Agents at Scale

Deploy AI to AWS, GCP, Azure, Vercel with MLOps, Bedrock, SageMaker, RAG, Agents, MCP: scalable, secure and observable.

By Ed Donner, Ligency
18h 30m
47,690 students
4.7 (47,690)
$10.99$199.9995% OFF
Verified 13d ago

Quick Facts

All verified details about AI Engineer Production Track: Deploy LLMs & Agents at Scale at a glance — pricing, duration, level, and more. Data sourced directly from Udemy.

PlatformUdemy
InstructorEd Donner, Ligency
LevelAll Levels
TopicDevelopment
Duration18h 30m of video
LanguageEnglish
AccessLifetime access
CertificateYes — from Udemy
SkillsDeploy SaaS LLM apps to production on Vercel, AWS, Azure, and GCP, using Clerk , Design cloud architectures with Lambda, S3, CloudFront, SQS, Route 53, App Runner and API Gateway , Integrate with Amazon Bedrock and SageMaker, and build with GPT-5, Claude 4, OSS, AWS Nova and HuggingFace , Rollout to Dev, Test and Prod automatically with Terraform and ship continuously via GitHub Actions
Price$10.99 (was $199.99) — save 95%
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