AI Engineer Production Track: Deploy LLMs & Agents at Scale — 92% Off Coupon

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

4.7 out of 5(31,042 students enrolled)Created by Ed Donner, LigencyLast updated: 🌐 English

Key Takeaways — Course Overview

The following summarizes all verified data points for AI Engineer Production Track: Deploy LLMs & Agents at Scale, including pricing, duration, instructor, and coupon validity. All data is sourced directly from Udemy and verified by CourseSpeak on .

Course Title: AI Engineer Production Track: Deploy LLMs & Agents at Scale
Provider: Udemy (listed via CourseSpeak)
Instructor: Ed Donner, Ligency
Coupon Verified On: April 7, 2026
Difficulty Level: All Levels
Category: Development
Subcategory: AI Agents & Agentic AI
Duration: 18h 30m of on-demand video
Language: English
Access: Lifetime access to all course lectures and updates
Certificate: Official certificate of completion issued by Udemy upon finishing all course requirements
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.
Price: $12.99 with coupon / Regular Udemy price: $169.99. Applying this coupon saves you $157.00 (92% OFF).
Coupon: Click REDEEM COUPON below to apply discount
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What You'll Learn

AI Engineer Production Track: Deploy LLMs & Agents at Scale gives you the following verified skills and competencies in Development:

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

The following background knowledge and tools are recommended before starting AI Engineer Production Track: Deploy LLMs & Agents at Scale. Students without these prerequisites may still enroll but should expect a steeper learning curve:

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

The following is the full official course description for AI Engineer Production Track: Deploy LLMs & Agents at Scale as published on Udemy by instructor Ed Donner, Ligency. It covers the curriculum structure, teaching methodology, and topic scope for this Development course:

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

Expert review by Josh Smith, Lead Course Reviewer at CourseSpeak.Last updated: April 7, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, AI Engineer Production Track: Deploy LLMs & Agents at Scale is a high-value resource for learners seeking to build skills inDevelopment. Taught by Ed Donner, Ligency on Udemy, the 18h 30m course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 92%, from $169.99 to $12.99, removing the primary financial barrier to enrollment.

What We Like (Pros)

  • Verified 92% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.7 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 31,042 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in AI Engineer Production Track: Deploy LLMs & Agents at Scale:

  • The depth of Development coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
JS
Josh Smith
Lead Course Reviewer, CourseSpeak
View credentials →

"Given the 92% price reduction and verified 4.7-star rating, AI Engineer Production Track: Deploy LLMs & Agents at Scale represents one of the strongest value propositions currently available in Development on Udemy. Enrollment is strongly recommended while this coupon remains active."

Final Verdict: Worth It
This course offers exceptional value with current pricing

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

The coupon was last verified on April 7, 2026.Udemy coupons are time-limited and claimed on a first-come basis — we recommend redeeming as soon as possible.

Course Rating Summary

AI Engineer Production Track: Deploy LLMs & Agents at Scale Course holds an aggregate rating of 4.7 out of 5 based on 31,042 student reviews on Udemy. The distribution below shows the approximate percentage of students who gave each star rating.

4.7
31,042 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy. Last verified: April 7, 2026.

Instructor Profile

The following section provides background information on Ed Donner, Ligency, the instructor responsible for creating and maintaining AI Engineer Production Track: Deploy LLMs & Agents at Scale on Udemy.

AI Engineer Production Track: Deploy LLMs & Agents at Scale is taught by Ed Donner, Ligency, a Udemy instructor specializing in Development. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

Instructor Name: Ed Donner, Ligency
Subject Area: Development
Teaching Approach: Practical, project-based instruction focused on real-world application of Development skills (as described in the course curriculum on Udemy).

Frequently Asked Questions

The following questions and answers cover the most common queries about AI Engineer Production Track: Deploy LLMs & Agents at Scale, its coupon code, pricing, and enrollment process. All answers are based on verified data from Udemy as of April 7, 2026.

About the Author

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