Get AI Engineer Production Track: Deploy LLMs & Agents at Scale with 90% OFF Udemy Coupon
Deploy AI to AWS, GCP, Azure, Vercel with MLOps, Bedrock, SageMaker, RAG, Agents, MCP: scalable, secure and observable.
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 CoursesWyn on .
Course Title: AI Engineer Production Track: Deploy LLMs & Agents at Scale
Platform: Udemy (listed via CoursesWyn)
Instructor: Ed Donner, Ligency
Coupon Verified:
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: Students who complete AI Engineer Production Track: Deploy LLMs & Agents at Scale will be able to: 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!
Price: $11.99 with coupon / Regular Udemy price: $119.99. Applying this coupon saves you $108.00 (90% OFF).
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What You'll Learn
Completing 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
Requirements
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.
- Entrepreneurs
- Enterprise engineers
- …and everyone in between.
- RAG, Agents, MCP, and so much more… deployed to production.
- Live.
- Enterprise-grade.
- Scalable, resilient, secure, monitored — and explained.
- You’ll launch a Next.js SaaS product on Vercel and AWS,
- with AWS App Runner and Clerk for user management and subscriptions.
- 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.
- 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
- 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
- SaaS App Live in Production with Vercel, AWS, Next.js, Clerk, App Runner
- Project: SaaS Healthcare App
- AI Platform Engineering on AWS with Bedrock, Lambda, API Gateway, Terraform, CI/CD
- Project: Digital Twin Mk II
- Gen AI in Production with Azure, GCP, AWS SageMaker, S3 Vectors, MCP
- Project: Cybersecurity Analyst
- 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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Is This Course Worth It?
Expert review by Andrew Derek, Lead Course Reviewer at CoursesWyn. Last updated: .
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 in Development. Taught by Ed Donner, Ligency on Udemy, the 18h 30m course provides a structured progression from foundational concepts to advanced AI Agents & Agentic AI techniques — making it suitable for learners at all levels. The current coupon reduces the price by 90%, from $119.99 to $11.99, removing the primary financial barrier to enrollment.
What We Like (Pros)
The following advantages were identified:
- Verified 90% price reduction makes this course accessible on any budget.
- Aggregate student rating of 4.7 out of 5 indicates high satisfaction.
- Includes an official Udemy completion certificate and lifetime access.
Keep in Mind (Cons)
The following limitations should be considered:
- The depth of AI Agents & Agentic AI coverage may be challenging for newcomers.
- Lifetime access is contingent on the Udemy platform's operation.
- Hands-on projects require additional time beyond video watch time.
"Given the 90% 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. Enrollment is recommended while this coupon remains active."
Course Rating Summary
AI Engineer Production Track: Deploy LLMs & Agents at Scale holds an aggregate rating of 4.7 out of 5 based on 26,545 student reviews on Udemy. The distribution below shows the approximate percentage of students who gave each star rating.
4.7
26,545 Verified Ratings
* Rating distribution is approximated from the aggregate score. Sourced from Udemy. Last verified: .
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.
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Instructor Name: Ed Donner, Ligency
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Subject Area: Development
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Teaching Approach: Practical, project-based instruction focused on real-world application of AI Agents & Agentic AI skills.
Coupon Help Center
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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 .
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Andrew Derek
Expert ReviewerAndrew Derek is a lead editor and course analyst at CoursesWyn with over 8 years of experience in online education and digital marketing. He meticulously audits every Udemy coupon and course syllabus to ensure students get the highest quality learning materials at the best possible price.
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