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Foundation · AI orchestration
AI Prompt & Context Engineering: build capability you can prove.
Build prompt-and-context systems that perform consistently beyond a single conversation or lucky result.
AI orchestrationPrompt & Context
A tested prompt-and-context operating pack with source grounding, evaluation criteria, and human review.
Program overview
Learn the method. Build the system. Retain the proof.
A foundation program for designing reliable instructions and context systems that help AI produce more relevant, grounded, testable, and reusable work.
Practical outcomeA tested prompt-and-context operating pack with source grounding, evaluation criteria, and human review.
Build a reusable AI work system for a real role, including context, tests, and approval criteria.
Who this is for
A clear fit before you invest your time.
The application and readiness diagnostic help Admissions confirm fit, preparation, delivery mode, and any support needed.
Before you begin
- No coding required
- Comfort using at least one AI assistant
- A real role, research, service, or knowledge workflow to improve
Capabilities developed
- Prompt engineering
- Context engineering
- Evaluation
- Source grounding
- Human review
Program roadmap
A complete learning sequence—not disconnected lessons.
Each stage prepares the next, with practical work, review, and evidence connected to the intended capability.
Instruction architecture
Define purpose, role, inputs, constraints, process, output format, and review expectations.
Context engineering
Prepare reusable context packs, reference material, examples, definitions, and operating boundaries.
Grounding and retrieval
Connect approved sources, trace claims, manage missing context, and reduce unsupported answers.
Evaluation and iteration
Create test cases, rubrics, comparisons, failure analysis, and versioned improvements.
Responsible deployment
Set privacy limits, human checkpoints, escalation rules, disclosures, and maintenance routines.
Learning experience
Live guidance, entitled practice, a real build, and human review.
Live instruction and critique
Eligible Program-linked Labs practice where confirmed
Peer comparison and structured testing
Human-reviewed capstone
Program-linked Labs
Labs scope is confirmed before enrollment
Eligible Labs and usage conditions are confirmed in the Program offer before enrollment.
Program-included access is granted only when verified enrollment, Program, prerequisites, policy, access dates, usage conditions, and an active Program entitlement permit it. Included eligible Labs carry no separate Labs subscription charge. Chatoner Class access alone does not include Labs.
Project & evidence
The credential direction is backed by work another person can inspect.
AI may support practice and organize evidence. Authorized human educators retain final authority over assessment, completion, credentials, discipline, and safeguarding.
What can follow
Use the result as a foundation—not a finish line.
Live cohort delivery
Dates are published only after the cohort is confirmed.
A confirmed cohort connects instructor-led Class sessions, eligible AI Labs, project work, human feedback, and proof-backed completion. No public date or availability is currently published.
01Live teaching in Chatoner Class02Entitled practice in AI Labs03Project and human feedback04Evidence and credential review
Ready to apply?
Start the application for Prompt & Context.
Complete your profile, program choice, readiness, goals, project, schedule, funding, consent, and final review—then track the human-reviewed admissions decision.