Master the exam,
one concept at a time.
AI Skill Certs runs a Bayesian Knowledge Tracing engine over every Claude certification. It maps each exam to a graph of atomic concepts, tracks your mastery of each to a live 0.90 probability, and hands the weak ones to Archie, a Socratic AI tutor built on Claude. You study exactly what has not stuck yet, in the order that builds correctly.
- Certification tracks
- 4
- Task statements mapped
- 123
- Mastery threshold
- 0.90
The engine · one loop
Knowledge graph
Orders every concept by prerequisite
Mastery engine
Live 0.90 probability per concept
Archie, the tutor
Socratic, never gives the answer
Every answer flows back and re-orders tomorrow's plan.
The catalog
One engine. Every Claude certification.
Pick your track. Each one runs the same adaptive engine: a concept graph, mastery tracked to 0.90, and Archie in the loop. Live tracks are ready to study today; the rest are on the roadmap.
Claude Certified Associate - Foundations
Adaptive prep for the Anthropic Claude Certified Associate Foundations exam
- Fee
- $99
- Questions
- 60
- Time
- 120 min
- Valid
- 12 mo
Claude Certified Architect - Foundations
Adaptive prep for the Anthropic Claude Certified Architect Foundations exam
- Fee
- $125
- Questions
- 60
- Time
- 120 min
- Valid
- 12 mo
Claude Certified Architect - Professional
Adaptive prep for the Anthropic Claude Certified Architect Professional exam
- Fee
- $175
- Questions
- 63
- Time
- 120 min
- Valid
- 12 mo
Claude Certified Developer - Foundations
Adaptive prep for the Anthropic Claude Certified Developer Foundations exam
- Fee
- $125
- Questions
- 53
- Time
- 120 min
- Valid
- 12 mo
The engine
A concept graph and a mastery signal, for every track.
Two artefacts every learner sees from day one: a live concept heatmap that shows exactly where you stand across the exam, and the prerequisite graph that decides what you study next. The engine is the same on every certification; only the concepts change.
Concept space
175 concepts. One probability each.
Sample · Architect Foundations track
Knowledge graph fragment
Prerequisites are non-negotiable
Domain 1: Agentic Architecture, 12 of 36 concepts shown
Sample · Architect Foundations track
How it works
Three layers, one job: get you to 0.90 on every pattern you'll ship.
They run as a closed loop. The graph decides what you study, the engine measures whether it stuck, and Archie teaches the gap, then every answer flows back into the engine and re-orders tomorrow's plan. You never study the wrong thing twice.
Knowledge graph
Every track gets its own graph: 616 concepts across the live tracks, each one a thing you'll do at the keyboard, not just on the test.
MCP tool schemas, hook ordering, subagent context-passing, model-routing trade-offs, JSON repair patterns: every exam concept is mapped to the production pattern it represents and locked behind its prerequisites. No skipping ahead, no reasoning about hooks before you've nailed the agent loop.
DAG · 616 concepts · prerequisite-ordered · 4 live tracks
Threshold 0.90
BKT engine
Mastery threshold 0.90. No shipping with a 0.7 on hooks.
Bayesian Knowledge Tracing keeps a live probability that you have actually mastered each pattern. We retire a concept at 0.90 and bring it back the instant a downstream scenario reveals regression. The exam catches a 0.7. So does production.
BKT · per-learner parameters · regression detection
Archie
A Socratic tutor that pressure-tests build decisions.
Archie is built on Claude and constrained to certification content. He never gives the answer. He asks the next question, about your routing decision, your tool schema, your loop termination logic. Every exchange feeds back into the BKT layer, so tomorrow's drills target what you actually struggled to ship.
Claude · graduated hints · misconception detection
Graph orders → engine measures → Archie teaches → engine updates → graph re-orders. The loop never opens.
Built around how you learn
One concept. Three ways in.
Some patterns land as prose. Some only make sense as a diagram. Some you have to watch someone build. So every concept comes three ways: read it, see it, or watch it. You pick the format that clicks for you when you start; it leads every topic. The other two stay one tap away.
The agent loop
An agent runs a loop: the model proposes a tool call, the harness executes it, the result is fed back, and the loop repeats until a stopping condition is met. Your job is to define that stopping condition precisely.
Key concepts
- Tool-call → execute → observe cycle
- Loop termination logic
- Context accumulation per turn
Rendered from the knowledge point's summary + key concepts
Set your default in onboarding · change it any time in settings · every format logs back to the engine
Tutor in the loop
Every Archie exchange writes back to the engine.
You won't see the BKT update in real time, but it's happening on every reply. A clean reasoning chain pushes the concept's probability up. A near-miss marks the concept fragile and schedules a return.
- Avg. exchanges per concept
- 2.3
- Hint levels available
- 3
Sample · Architect Foundations track
Live in the engine
Concept KP-042 just updated your mastery probability for Prompt Hierarchy from 0.62 to 0.71.
From the journal
Notes on the exam, the method, and the model
I think it's 2013 again.
I earned every AWS certification during the last technology transition. I am watching the same pattern begin in AI. The certification was never the opportunity. It was the earliest visible signal.
Is the Anthropic Claude certification worth it in 2026?
A sober, numbers-first verdict on the $125 CCA-F exam: the $100M partner economy behind it, what it signals by role, the salary data that does not exist yet, and who should skip it.
Anatomy of an agentic AI system: a reference architecture for builders
A long-form walk through the nine layers every production agentic system shares, the tools that won at each layer in 2025 and 2026, and a sober look at what is genuinely new versus what is a relabelled prototype.
Frequently asked
The questions people ask before they start.
AI Skill Certs is an adaptive prep platform for Anthropic's Claude certifications. Instead of a static course, it runs a Bayesian Knowledge Tracing engine over each exam: it breaks the exam into a graph of atomic concepts, tracks how well you have mastered each one, and spends your study time on the concepts that are not yet stuck. A Socratic AI tutor, Archie, teaches the gaps.
Every exam is mapped to a directed graph of concepts, each locked behind its prerequisites. As you answer questions and work with Archie, Bayesian Knowledge Tracing keeps a live probability, between 0 and 1, that you have genuinely mastered each concept. Once a concept clears 0.90 we retire it and shift attention to your weak areas, bringing anything back the moment a later scenario shows it has regressed. You never study the wrong thing twice.
Two tracks are live today: Claude Certified Architect - Foundations (CCAR-F) and Claude Certified Developer - Foundations (CCDV-F). Two more are under development: Claude Certified Associate - Foundations (CCAO-F), the entry-level track for professionals using Claude at work, and Claude Certified Architect - Professional (CCAR-P), the senior architect tier. Each track is a full adaptive experience with its own concept graph, question bank, and exam-accurate scoring. New tracks are added as Anthropic's Claude certification program grows.
Archie is a Socratic tutor built on Claude and constrained to certification content. He never hands you the answer. He asks the next question, about your routing decision, your tool schema, your loop termination logic, so you have to reason it through yourself. Every exchange is grounded in a specific concept and feeds back into the engine that picks tomorrow's drill.
Yes. Because progress is tracked per concept rather than per course, the concepts shared across tracks, prompt engineering, tool design, context management, carry their mastery with you. Clear a concept on the Developer track and you start ahead on the Architect track wherever the two exams overlap.
One flat fee per track gives you full access until you sit the exam: no per-question paywalls, no caps on Archie, no separate charge for mock exams. You can start with a diagnostic before you decide. See each certification's page for its current price.
No. AI Skill Certs is an independent prep platform and is not affiliated with Anthropic. We do not administer the exams or sell exam seats; you book the official sitting yourself. What we do is get you exam-ready, with a readiness score that maps tightly to actual performance.
Start free
Pick a certification. Start mastering it today.
Twenty minutes to your first mastery map. From there the engine drills the concepts you haven't locked yet, and Archie teaches the ones you're missing, across whichever Claude certification you're chasing.