
Deploy AI to AWS, GCP, Azure, Vercel with MLOps, Bedrock, SageMaker, RAG, Agents, MCP: scalable, secure and observable.
AI Engineer Production Track: Deploy LLMs & Agents at Scale
InstructorLigency 
Deploy AI to AWS, GCP, Azure, Vercel with MLOps, Bedrock, SageMaker, RAG, Agents, MCP: scalable, secure and observable.
InstructorLigency Comidoc has tracked 1 coupon for this course since 2026, last checked 1 month, 6 days ago.
| Coupon code | Discount | Added | Status | Lifetime |
|---|---|---|---|---|
| Coupon codeAI_SEPTEMBER_26 | Discount13% off | Added | StatusExpired | Lifetime29d 2h |
Lifetime is the time from a coupon's first appearance to its expiration or invalidation.

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Instruction covers deploying applications across AWS, Azure, and GCP using tools like Terraform and GitHub Actions.
The curriculum utilizes real-world scenarios, such as healthcare SaaS and cybersecurity agents, rather than simple tutorials.
Some learners report that core technologies like Terraform are introduced without sufficient detailed walkthroughs of the code or architecture.
One signal indicates that early chapter instructions may already be obsolete due to rapid platform changes; the displayed update date does not prove a correction has been made. This concern predates the displayed update, and while the update label may have addressed it, it does not prove a correction.
The course aligns well with developers and entrepreneurs, though it may feel too introductory for specialized DevOps engineers.