Kubernetes Certified Application Developer (CKAD) with Tests
★ 4.6 rated · $12.99
Context Engineering Masterclass: LLMs, RAG & Agents teaches Software Engineering step by step for learners of all levels, including understand how context windows, token economics, and attention limits affect LLM output quality and design reliable context assembly pipelines that deliver the right info in the right order. Total runtime: 10h
$12.99 with coupon (list $199.99 — save $187.00, 94% off)
Coupon Verified: September 18, 2026 · click Claim Coupon to apply the discount code
The short version of this deal — what the coupon covers, what it costs, and when our team last checked it.
This page tracks a verified Udemy coupon for Context Engineering Masterclass: LLMs, RAG & Agents — a Development course from Paolo Dichone, suitable for learners at every level. Enrolling through this page takes the price from $199.99 down to $12.99 — that's 94% off, or $187.00 saved.
What you get is the same as any full-price seat: lifetime access to the on-demand lessons (10h), every future update the instructor publishes, and a certificate of completion once you finish. It has already been taken by 265 learners and holds a 4.9-star average on Udemy, and the lessons are delivered in English.
The listing was last verified by hand on September 18, 2026 and is recorded valid through October 1, 2026 — claim it before then, or while redemptions last.
Heads up: the recorded end date for this coupon (October 1, 2026) has already passed, so Udemy may show the standard $199.99 price at checkout. We keep this page live because the course details, syllabus and redemption steps below stay useful — and a fresh coupon often gets recorded here later.
Best suited to learners with some footing in Development — prerequisites as listed by the instructor: Basic familiarity with LLMs or generative AI tools such as ChatGPT, Claude, or an LLM API is recommended; Some programming experience (Python or JavaScript) helps with the practical implementation examples. Browse more coupons while you are here: Development coupons · Software Engineering courses · today's free Udemy coupons.
Everything that matters about this coupon in one scan — price, validity, and what you walk away with.
Our verdict: worth it — as long as the Development skills on the syllabus match what you actually want to learn. The regular price for Context Engineering Masterclass: LLMs, RAG & Agents on Udemy is $199.99. With the coupon code on this page, that falls to $12.99 — a saving of $187.00, or 94% off the standard rate Spread across 10h of on-demand video, that works out to roughly $1.30 per hour of content — cheaper than a single chapter of most printed Development textbooks.
A cheap price means nothing if the material is thin — here the syllabus is organized around usable outcomes. Paolo Dichone walks you through understand how context windows, token economics, and attention limits affect LLM output quality, design reliable context assembly pipelines that deliver the right info in the right order, and build production-grade RAG systems using chunking, hybrid search, reranking, and compression — skills meant to be used, not just watched. It has already been taken by 265 students and holds a 4.9-star average from verified reviews, which suggests the content holds up once learners actually apply it.
Check the prerequisites before you commit: Basic familiarity with LLMs or generative AI tools such as ChatGPT, Claude, or an LLM API is recommended; Some programming experience (Python or JavaScript) helps with the practical implementation examples. Best suited to learners who already have footing in Development. Plan for roughly 10h of on-demand video at your own pace. Lessons are delivered in English.
Practical skills and outcomes you'll gain from Context Engineering Masterclass: LLMs, RAG & Agents — taken from the official Udemy syllabus for Development learners.
Understand how context windows, token economics, and attention limits affect LLM output quality.
Design reliable context assembly pipelines that deliver the right info in the right order.
Build production-grade RAG systems using chunking, hybrid search, reranking, and compression.
Design memory systems for AI apps, including short-term, long-term, and agent memory.
Evaluate and improve RAG quality with metrics, context audits, and observability.
Engineer context for AI agents using templates, tool outputs, and multi-step state management.
Apply production and enterprise patterns for scalable, secure, cost-effective LLM applications.
Implement prompt caching strategies that reduce API costs by up to 90%.
What you need before enrolling in Context Engineering Masterclass: LLMs, RAG & Agents — prerequisites as listed by the instructor on Udemy.
Basic familiarity with LLMs or generative AI tools such as ChatGPT, Claude, or an LLM API is recommended
Some programming experience (Python or JavaScript) helps with the practical implementation examples
No prior RAG or vector database experience is required; all concepts are explained from the ground up
The full official description of Context Engineering Masterclass: LLMs, RAG & Agents — curriculum, teaching approach, and everything included with this Udemy coupon.
Four steps, roughly two minutes. The discount travels with our link, so there is no code to copy and paste.
Press the "Claim Coupon" button on this page. It opens the Udemy course page in a new tab with the coupon attached to the link.
The discount is applied automatically — there is no code to type in. If Udemy shows $199.99 instead, the coupon has expired. The price at checkout should read $12.99.
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Confirm the price and click "Enroll Now". The course is added to your account with lifetime access and a completion certificate once you finish it.
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Claim Context Engineering Masterclass: LLMs, RAG &… Coupon Code$12.99 with coupon · 94% off · verified Sep 18, 2026 · recorded end date has passedPrefer screenshots? Follow our full how to redeem a Udemy coupon guide. Curious how each code gets confirmed? Read how we test and verify Udemy coupons.
Common queries about this coupon, pricing, and enrollment. Answers reflect our last check on September 18, 2026.
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