<ctx.eng />

// master the context window

<ctx.eng />

Build AI systems that actually work. Learn to architect context windows, optimize token usage, and design prompts that scale in production.

duration ="8 weeks"
enrolled:2_847
01 // syllabus

export { modules }

modules[0]

setup()

modules[1]

tokens

modules[2]

windows

modules[3]

prompts

/** @description */

Deep dive into tokenization algorithms, context window architecture, attention mechanisms, and production-grade prompt engineering patterns used at scale.

02 // modules

import { core }

lessons[0]

Token Economics

["theory", "tokenization"]~120min
lessons[1]

Context Windows

["architecture", "memory"]~180min
lessons[2]

Prompt Patterns

["patterns", "systems"]~240min
lessons[3]

Multi-turn Dialogue

["conversation", "state"]~90min
lessons[4]

Tool Use & Agents

["agents", "functions"]~150min
lessons[5]

System Prompts

["design", "guardrails"]~60min
Doug Silkstone - Course instructor
instructor: Doug Silkstone
03 // instructor

/**
* Built AI systems at scale.
* Trained 50k+ engineers.
* Former ML lead @ FAANG.
*/

10y+.mlExperience
50k.students
4.9.rating
12.courses

The gap between AI-literate engineers and everyone else is widening.

Context engineering isn't a skill—it's the skill. The one that separates engineers who use AI from engineers who build with AI.

// the_inflection_point
// 04
testimonials
// senior_engineer

"Transformed how our team approaches LLM integration. The structured methodology reduced our prompt iteration cycles by 60%."

Sarah ChenStaff Engineer, Stripe
// founder

"The RAG architecture patterns alone were worth 10x the price. We rebuilt our entire retrieval pipeline based on Module 3."

Marcus WebbCTO, Synthesis AI
// ml_lead

"Finally, a course that treats prompt engineering as a real discipline. The context window optimization techniques are production-grade."

Elena RodriguezML Lead, Vercel
4.9.rating
2,400+.enrolled
94%.completion
12hrs.content
// 05
industry.insights
// market_analysis

"By 2026, enterprises that master context engineering will capture 73% more value from their AI investments than those relying on basic prompting."

— Adapted from McKinsey Global AI Survey, 2024
const marketData = {
demand_growth:+312%
AI engineering roles (YoY)
salary_delta:+$47k
vs traditional SWE
context_window:2M
tokens. You need to fill them.
Source: LinkedIn Economic Graph, 2024} // marketData
// 06
articles.featured
view_all() ->
architecture
// article[01]8 min

Why RAG Alone Won't Save Your AI Product

Retrieval-augmented generation is necessary but not sufficient. Learn why context architecture matters more than vector similarity.

read() ->
deep_dive
// article[02]12 min

The Context Window is a Lie

128k tokens doesn't mean 128k tokens of useful context. Understanding effective context utilization changes everything.

read() ->
engineering
// article[03]15 min

Building Memory Systems for Agentic AI

How to design context persistence that actually works across multi-turn, multi-agent workflows in production.

read() ->
05
// teams.license()

// expense_it

Get this course
for free.

Most engineering teams have L&D budgets that go unused. We've written the email.

manager_email.txt
Hi [Manager],

I'd like to request approval for the Context Engineering course ($149).

Why this matters for our team:
- AI integration is becoming critical to our roadmap
- The course covers production patterns we can apply immediately
- 2,400+ engineers from companies like Vercel, Stripe, and OpenAI have taken it
- ROI: Even 1 hour saved per engineer per week = $10k+ annually

The course includes:
- 26 hours of technical content
- Production-ready code templates
- Lifetime access and updates

Here's the link: https://ctxdc.com

They also offer team pricing if we want to get the whole team onboard.

Happy to discuss further.

Thanks,
[Your name]
interface TeamPricing {
seats: 5$1,199
per_seat$240
-20%
seats: 10$2,099
per_seat$210
-30%
seats: "unlimited"Enterprise
includes: [SSO, invoicing, support]
const clients =
Vercel
Stripe
Linear
Notion
Figma
Supabase
} // TeamPricing
// enroll()
interface CourseAccess {

Build AI
that ships

From token economics to production patterns. Everything you need to build AI systems that work.

26+
hrs
42
lessons
∞
access
features.map((f) =>
[0] // core
+Token optimization patterns
+Context window architecture
+Production system design
+RAG implementation guides
[1] // extras
+Multi-modal techniques
+Private Discord community
+Downloadable templates
+Lifetime updates
$149$299

one_time: true

50% off

expires: "launch"

30-day
guarantee
] // features} // CourseAccess