AI Engineer Production Track: Deploy LLMs & Agents at Scale — 95% 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
37,177 students
English
Updated June 2026
Overview

Quick Facts — AI Engineer Production Track: Deploy LLMs & Agents at Scale Overview

Here's a quick overview of everything you need to know about AI Engineer Production Track: Deploy LLMs & Agents at Scale before you enroll:

•Course Name: AI Engineer Production Track: Deploy LLMs & Agents at Scale
•Platform: Udemy
•Instructor: Ed Donner, Ligency
•Coupon Last Verified: June 18, 2026
•Level: All Levels
•Topic: Development
•Subtopic: AI Agents & Agentic AI
•Total Time: 18h 30m of video content
•Language: English
•Access Type: Unlimited lifetime access + updates
•Certificate: Included upon completion from Udemy
•Main Skills: 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
•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.
•Current Price: $10.99 (was $199.99). You save $189.00 with 95% discount.
•How to Apply: Click the coupon button to activate your discount automatically
💡
Tip:For best results, apply the coupon in a regular browser window rather than incognito/private mode.
Skills

Skills You'll Master in This Course

By the end of AI Engineer Production Track: Deploy LLMs & Agents at Scale, you'll have these practical skills:

✓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.
Prerequisites

Prerequisites for This Course

Before enrolling in AI Engineer Production Track: Deploy LLMs & Agents at Scale, make sure you have:

•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.
Course Content

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:

This is the AI Engineer Production Track: Deploy LLMs & Agents at Scale course that more of my students have asked for than any other course — put together.

One student called it:
“The missing course in AI.”

This course is for:
  • Entrepreneurs
  • Enterprise engineers
  • …and everyone in between.
It’s not just about RAG — although we’ll work with RAG.
It’s not just about Agents — but there will be many Agents.
It’s not just about MCP — but yes, there will be plenty of MCP too.

This course is about:
  • RAG, Agents, MCP, and so much more… deployed to production.
  • Live.
  • Enterprise-grade.
  • Scalable, resilient, secure, monitored — and explained.

You’ll ship real-world, production-grade AI with LLMs and agents across Vercel, AWS, GCP, and Azure, going deepest on AWS.

Across four weeks you’ll take four products to production:
Week 1
  • You’ll launch a Next.js SaaS product on Vercel and AWS,
  • with AWS App Runner and Clerk for user management and subscriptions.
Week 2
  • You’ll become an AI platform engineer on AWS,
  • deploying serverless infrastructure using:
  • Lambda, Bedrock, API Gateway, S3, CloudFront, Route 53
  • Write Infrastructure as Code with Terraform
  • Set up CI/CD pipelines with GitHub Actions
  • — for hands-free deployments and one-click promotions.
Week 3
  • You’ll gain broad industry skills for GenAI in production:
  • Deploy a Cyber Security Analyst agent with MCP to Azure & GCP
  • Stand up SageMaker inference
  • Build data ingest to S3 vectors
  • Deploy a Researcher Agent using OpenAI OSS models on Bedrock + MCP
Week 4
  • You’ll go fully agentic in production:
  • Architect multi-agent systems with:
  • Aurora Serverless, Lambda, SQS
  • JWT-authenticated CloudFront frontends
  • LangFuse observability
  • Overview of AWS Agent Core
  • By the end, you’ll know how to:
  • Pick the right architecture
  • Lock down security
  • Monitor costs
  • Deliver continuous updates

Everything needed to run scalable, reliable AI apps in production.
Course sections (Weeks & Projects)
Week 1
  • SaaS App Live in Production with Vercel, AWS, Next.js, Clerk, App Runner
  • Project: SaaS Healthcare App
Week 2
  • AI Platform Engineering on AWS with Bedrock, Lambda, API Gateway, Terraform, CI/CD
  • Project: Digital Twin Mk II
Week 3
  • Gen AI in Production with Azure, GCP, AWS SageMaker, S3 Vectors, MCP
  • Project: Cybersecurity Analyst
Week 4
  • Agentic AI in Production: Build and deploy a Multi-Agent System on AWS (Aurora Serverless, Lambda, SQS),
  • with LangFuse and Bedrock AgentCore
  • Capstone Project: SaaS Financial Planner

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Expert Review

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

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: June 18, 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 95%, from $199.99 to $10.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 95% 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 37,177 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.
Final Verdict: Worth It
This course offers exceptional value with current pricing
✓
Rating

Course Rating Summary

AI Engineer Production Track: Deploy LLMs & Agents at Scale has earned an aggregate rating of 4.7 out of 5 from 37,177 verified student reviews on Udemy. Below is the detailed rating distribution showing learner satisfaction across all star levels.

4.7
★★★★★
37,177 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.

Instructor

About the Instructor — Ed Donner, Ligency

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.
FAQ

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.

Author

About the Author

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Andrew Derek

Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.

⭐4.8/5 Rating
✓Trusted by 10K+ Students
Resources

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