AI Engineer Production Track: Deploy LLMs & Agents at Scale — 90% Off Coupon

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

4.7 26,545 students enrolledCreated by Ed Donner, LigencyLast updated: 🌐 English

Course Overview — Key Details

A quick-reference summary of the most important course details: provider, instructor, difficulty, duration, and what the coupon covers.

Course Title: AI Engineer Production Track: Deploy LLMs & Agents at Scale
Provider: Udemy (listed via CourseSpeak)
Instructor: Ed Donner, Ligency
Coupon Verified On: February 19, 2026
Difficulty Level: All Levels
Category: Development
Subcategory: AI Agents & Agentic AI
Duration: 18h 30m of on-demand video
Language: English
Access: Lifetime Access · Mobile & TV compatible
Certificate: Certificate of completion included
Top Learning Outcomes: 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
Prerequisites: 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.
Coupon: Click REDEEM COUPON below to apply discount
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What You'll Learn

Skills and competencies you'll gain from this Udemy course:

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.

Course Requirements & Prerequisites

Background knowledge or tools recommended before starting this course:

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.

About This Udemy Course

Full course description including curriculum, tools covered, and learning methodology:

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About the Instructor

This course is taught by Ed Donner, Ligency. For full instructor bio, credentials, and other courses they teach, visit the instructor profile on Udemy.

Instructor: Ed Donner, Ligency
Field: Development
Teaching Style: Practical, project-based learning (as described in course curriculum)

Is the AI Engineer Production Track: Deploy LLMs & Agents at Scale Coupon Worth It?

AI Engineer Production Track: Deploy LLMs & Agents at Scale is a development course offered on Udemy by instructor Ed Donner, Ligency, spanning 18h 30m of on-demand content. It holds a 4.7/5 rating from over 26,545 enrolled students.

Through CourseSpeak, you can access this course with a 90% discount coupon. The coupon was last verified on February 19, 2026. Udemy coupons are time-limited and claimed on a first-come basis — we recommend redeeming as soon as possible.

New to redeeming coupons? Visit our How to Redeem Udemy Coupon on CourseSpeak for detailed instructions on how to apply coupon codes.

✓ Our Take: Based on the rating (4.7/5) and enrollment numbers (26,545 students), this course appears well-regarded in its category. Use the coupon to access it at a significantly reduced price — and judge for yourself using Udemy's 30-day money-back guarantee.

Course Rating Summary

Aggregate rating data sourced from Udemy as of February 2026. For individual student reviews, visit the course page directly.

4.7
26,545 ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is estimated. For exact per-star counts, visit the Udemy course page.

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