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Training Haskell - Mastering Advanced Functional Programming

Ref: TWC123
10 people max.
5500€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

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Learning objectives

  • Master advanced monads and applicatives in Haskell to develop robust applications.
  • Design performant data structures using dependent types and GADTs in an enterprise context.
  • Implement efficient concurrency patterns using STM and async for professional skills.
  • Optimize Haskell code performance with profiling and lazy evaluation for real-world projects.
  • Deploy Haskell applications to production using Docker and CI/CD.
  • Develop advanced testing skills with QuickCheck and HSpec for enterprise expertise.

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Advanced Haskell Types: Dependent Types, GADTs, and Newtypes (GHC, Stack)

Discover dependent types to model invariants at compile time, implement GADTs for complex decision trees, practice with Stack to manage dependencies, build secure newtypes through exercises on real enterprise cases, analyze type errors in real-time with GHCi, produce a reusable optimized data structures module, consolidate with a practical challenge on business data validation.

Module 2Haskell Monads and Applicatives: Functional Composition (Control.Monad, transformers)

Dive into custom monads to encapsulate IO effects, chain applicatives for efficient parsers, use the transformers library to stack MaybeT and StateT, apply to business workflows via hands-on exercises, debug with monadic traces, generate robust JSON parsers, validate with an enterprise log processing project, integrate recurring patterns to boost team productivity.

Module 3Haskell Concurrency: STM, async, and Channels (stm, async packages)

Master Software Transactional Memory for thread-safe updates, implement asynchronous pipelines with async and Chan, simulate multi-agent scenarios via practical exercises, measure performance with GHC events, manage deadlocks with advanced strategies, deploy a concurrent load simulator, analyze results in groups for enterprise insights, produce a testable deliverable under real production conditions.

Module 4Haskell Optimization: Profiling, Lazy Evaluation, and Fusion (ghc-prof, criteria)

Profile your code with ghc-prof to identify bottlenecks, force strict evaluation with bang patterns, optimize using automatic fusion rules, benchmark with criteria on large datasets, apply to data processing algorithms, reduce allocated memory by 50% through guided practices, compare before/after in interactive sessions, generate an optimization report ready for the technical team.

Module 5Haskell Testing and Deployment: QuickCheck, HSpec, Docker CI/CD (cabal, GitHub Actions)

Generate properties with QuickCheck for exhaustive tests, structure HSpec specs for 100% coverage, integrate advanced mocks for external services, containerize with Docker and Cabal, automate CI/CD pipeline with GitHub Actions, deploy a complete app in a simulated cluster, review via pair code review, finalize a certifying project portfolio to showcase professional Haskell skills.

Evaluation method

  • Daily interactive quizzes on advanced Haskell concepts
  • Final practical project evaluated by experts (concurrent application)
  • Self-assessment and peer feedback for skills consolidation

Learning method

  • Hands-on pedagogical methods with 70% practical work on real Haskell
  • Concrete use cases drawn from leading tech companies
  • Individualized support in small groups of max 10
  • Post-training resources: Git repo, replay videos, 3-month coaching

Methods, materials and delivery

The Training Haskell - Mastering Advanced Functional Programming program is delivered onsite or remote (blended-learning, e-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the Training Haskell - Mastering Advanced Functional Programming program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the Training Haskell - Mastering Advanced Functional Programming program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
Our method

Training quality, guaranteed at every step

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

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