Haskell’s type system catches entire categories of bugs at compile time. This course builds intuition for pure functions, algebraic data types, type classes, and monads — and explains why learning Haskell makes you a better programmer in every other language.
This is a text-first course that links out to the best supporting material on the internet instead of trying to replace it. The goal is to make this the best course on haskell and functional programming you can find — even without producing a single minute of custom video.
This course is built by people who ship production haskell systems for a living. It reflects how things actually work on real projects — not how the documentation describes them.
Every day has working code snippets you can paste into your editor and run right now. The emphasis is on understanding what each line does, not memorizing syntax.
Instead of shooting videos that go stale in six months, Precision AI Academy links to the definitive open-source implementations, official documentation, and the best conference talks on the topic.
Each day is designed to finish in about an hour of focused reading plus hands-on work. You can do the whole course over a week of lunch breaks. No calendar commitment, no live classes, no quizzes.
Each day stands alone. Read them in order for the full picture, or jump straight to the day that answers the question you have today.
Functions without side effects, immutable values, and Haskell’s strong static type system. How the type checker eliminates null pointer exceptions and many concurrency bugs.
Sum types (Either, Maybe), product types (records), pattern matching on constructors, and how ADTs model domain logic more precisely than OOP inheritance.
The Haskell mechanism for ad-hoc polymorphism. Functor, Foldable, Eq, Ord, Show — what they mean, how to implement them, and why they generalize code safely.
Sequencing computations with the Monad type class, do-notation desugaring, IO as a type for side effects, and the State and Reader monads for threading context.
Real programs: parsing with Parsec, HTTP with http-conduit, JSON with Aeson, and the Stack/Cabal build tools. Building something that runs, not just type-checks.
Instead of shooting our own videos, Precision AI Academy links to the best deep-dives already on YouTube. Watch them alongside the course. All external, all free, all from builders who ship this stuff.
Pure functions, types, and the functional programming mental model that makes Haskell click.
The most accessible explanation of monads, do-notation, and why IO is a type in Haskell.
Functor, Applicative, Monad, Foldable, and Traversable — what the hierarchy means and how to use it.
Building real CLI tools and web parsers in Haskell. Stack workflow and common library usage.
The best way to understand any technology is to read the production-grade implementations that prove it works. These repositories implement patterns from every day of this course.
The Haskell compiler itself. The Core language output from GHCi explains what your Haskell code actually compiles to.
The standard JSON library for Haskell. The Generic derivation source shows how Haskell’s type system generates serialization code.
The build tool used in Day 5. Reproducible Haskell builds with curated package snapshots.
Monadic parser combinators. The Day 5 parsing library. Reading the source is a masterclass in monad composition.
You’ve heard functional programming makes you a better developer. Haskell forces the style more completely than any other language. This course is the on-ramp.
TypeScript and Rust have stronger type systems because of Haskell. This course teaches the type theory that explains why those systems work.
Haskell is the implementation language for PL research. This course gives you the working knowledge to read papers that use Haskell pseudocode.
The 2-day in-person Precision AI Academy bootcamp covers Haskell and functional programming hands-on. 5 U.S. cities. $1,490. 40 seats max. June–October 2026 (Thu–Fri).
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