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AI Engineer Production Track: Deploy LLMs & Agents at Scale
Become a production-ready AI Engineer and learn how to deploy LLMs and AI agents at scale. Master LLM deployment, production AI systems, inference optimization, monitoring, scaling strategies, and building reliable AI pipelines for real-world production environments.
by Ed Donner, Ligency · ⭐ 4.6 via Udemy · 51,664 students · English
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$10.99$199.9995% OFF
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✓ 95% discount manually re-verified, not an estimate.
✓ Certificate + lifetime access included by Udemy.
⚠ Redemption-limited — can run out without notice.
Price history First-party data
Tracked since September 20, 2025 to August 7, 2026. Red dot = current price ($10.99) — CoursesWyn records the price on each sync.
Current price
$10.99
Original price
$199.99
Tracked since
September 20, 2025
Last checked
Aug 7
Price and coupon status are recorded from a periodic sync of Udemy’s public catalog. This snapshot was taken on August 7, 2026. Prices are always confirmed at checkout on the provider’s site.
Deal score Computed, methodology below
9.1
/ 10
Discount depth
95%
Udemy rating
4.6 / 5
Popularity
51,664 students
Tracking length
329 days
Score = weighted average of discount depth, how often CoursesWyn re-checks this code, historical price volatility, and how fast past redemptions were claimed. Not an editorial opinion on the course itself.
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Sep 20, 2025Listed by CoursesWyn — price recorded at $10.99Listed
Aug 7, 2026Coupon checked — checkout price $10.99 · listed until Sep 6Working
Course details Synced from Udemy
Fields below are pulled from Udemy’s public catalog and recorded when CoursesWyn syncs — they are catalog data, not editorial description.
| Last checked | August 7, 2026 |
| Level | All Levels |
| Content | 18 hours 30 minutes |
| Language | English |
| Requirements | While it’s ideal if you can code in Python and have some experience working with LLMs, this course is designed for a very wide audience, regardless of background. I’ve included a whole folder of self-study labs that cover foundational technical and programming skills. If you’re new to coding, there’s only one requirement: plenty of patience! · The course runs best if you have a small budget for APIs and Cloud Providers of a few dollars. But we monitor expenses at every point, and it's always a personal choice. |
| Certificate | Yes, on completion |
| Access | Lifetime, mobile & TV |
What you'll learn From the course description
Deploy 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
Deliver enterprise-grade AI solutions that are scalable, secure, monitored, explainable, observable, and controlled with guardrails.
Create Multi-Agent systems and Agentic Loops with Amazon Bedrock AgentCore and Stands Agents
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Coupon & redemption FAQ
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