Free course
Deterministic AI Fundamentals
Building AI systems you can trust, audit and afford
A free 10-lesson course for executives and technical leaders on why AI outputs vary, what deterministic AI and compiled AI mean, and how to put language models into production without unpredictable answers.
Syllabus
- Why "probably right" isn't good enough
Lesson 1
8 min read
Run-to-run variance, and the point where it becomes business risk.
- Deterministic AI, defined
Lesson 2
7 min read
What it is, what it is not, and the vocabulary for the rest of the course.
- Compiled AI: LLMs at build time, code at run time
Lesson 3
8 min read
Generate code, rules and tests offline; ship deterministic software.
- The Graduated Exposure Ladder
Lesson 4
8 min read
Five levels for deciding how much model belongs at run time.
- Evaluation for reliability
Lesson 5
9 min read
Golden datasets, regression evaluation and error analysis.
- Cost math: compiled vs runtime LLM
Lesson 6
8 min read
Per-transaction cost, break-even volume and latency.
- Liability is real: Air Canada and beyond
Lesson 7
8 min read
Why the deployer owns what its AI says.
- AI washing: what regulators have penalised
Lesson 8
8 min read
Substantiating AI claims before you make them.
- EU AI Act basics for buyers and builders
Lesson 9
9 min read
Risk tiers, the 2027–2028 dates, and what to document.
- Patterns in the wild
Lesson 10
9 min read
Anonymized cases from lending, collections and insurance, and where to start.
What you'll learn
- Why language-model outputs vary from run to run
- What deterministic AI and compiled AI mean
- How to decide how much model belongs at run time
- How AI liability, AI-washing enforcement and the EU AI Act affect AI systems
Your instructor
Atin Agarwal, Founder, IOanyT Innovations · author of The AI Agent Economy.
Course by IOanyT Innovations: 10+ years delivering software, 50+ engineers. What we mean by compiled AI.
Weighing compiled vs runtime AI for a real workflow?
Book a free AI Reliability Review: 60–90 minutes and a 2-page findings note on where AI can safely help and where it should stay deterministic.
Book a Reliability ReviewNo commitment required