Training: Mastering FastAI: From Initiation to Deployment in Machine Learning

$3,465

  • 3 days
  • Onsite
  • 8 people max.
Ref: MNX683
8 people max.
$3,465
In-company rate: from $6,290 for the whole team
On-site and certification exam on quote
3 days
Onsite

Don't let this gap widen

Why this program matters

  • Without FastAI mastery, your machine learning projects stall in endless iterations and weak prototypes.

  • Teams lose an average of 40 % of development time, or 4 to 6 months of delay per project and cost overruns nearing 75 000 €.

  • 70 % of models fail in production for lack of robust deployment, exposing the company to revenue losses and eroded competitiveness.

  • Every month without these skills speeds professional stagnation and lets competitors pull ahead.

Allan BUSI, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

41,181 programs · 25 countries

  • Aptar
  • ArcelorMittal
  • Equans
  • EDF
  • Ubisoft
  • Microsoft
  • Atos

Every program built with a dedicated engineer

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  • Notion
  • AMD
  • Apple

Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.

FastAI training objectives

  • Understand the foundations of FastAI and install it in your environment
  • Manage datasets and effectively prepare data pipelines
  • Create, train, and evaluate advanced models in image classification and natural language processing (NLP)
  • Optimize, interpret, and export models generated with FastAI
  • Deploy FastAI models in real-world applications

Program

FastAI curriculum: 3 modules over 3 days

Module 1 : Getting Started with FastAI and First Models

Introduction to FastAI and its ecosystem, installation, exploration of notebooks, discovery of the DataBlock API, first image classification models, and introduction to the training/validation cycle. Hands-on with standard datasets (MNIST, CIFAR-10).

Module 2 : Deep Dive: Advanced Pipelines and Computer Vision

Advanced dataset management, data augmentation, regularization techniques, fine-tuning with pre-trained models. Performance analysis, metrics, learning curves, and result interpretation with FastAI.

Module 3 : NLP, Deployment, and Project Industrialization

Applying FastAI to natural language processing (text, classification). Workflow automation, model saving and export, introduction to deployment via API (Flask/FastAPI). Tips for industrialization, testing, documentation, and maintenance.

How FastAI skills are assessed

  • Completion of mini practical projects at the end of each day
  • Final multiple-choice quiz on FastAI concepts
  • Presentation of an end-to-end project with FastAI

How the FastAI course is taught

  • Alternation of theory and practical cases drawn from real datasets
  • Access to collaborative interactive notebooks
  • Detailed course materials in PDF and supplementary resources
  • Group corrections and personalized feedback

FastAI training: access and practical arrangements

The Training: Mastering FastAI: From Initiation to Deployment in Machine Learning program is delivered onsite or remote (blended-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: Mastering FastAI: From Initiation to Deployment in Machine Learning 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: Mastering FastAI: From Initiation to Deployment in Machine Learning 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

Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.

The Learni story

Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.

Our method

How Learni guarantees the quality of your FastAI training

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.

A child walking to school with a backpack
Our social commitment

A school kit donated to a child for every training booked

To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.

  • Backpack, notebooks and essential supplies
  • Distributed through our partner charities
  • Included, at no extra cost to you
Enroll and offer a kit
FAQ

FastAI: frequently asked questions

What can participants do after Training: Mastering FastAI: From Initiation to Deployment in Machine Learning training?+
They can understand the foundations of FastAI and install it in your environment, manage datasets and effectively prepare data pipelines and create, train, and evaluate advanced models in image classification and natural language processing (NLP). Those are the stated objectives of the Training: Mastering FastAI: From Initiation to Deployment in Machine Learning program at Intermediate level, checked by the end-of-session assessment.
What does the Training: Mastering FastAI: From Initiation to Deployment in Machine Learning program cover, day by day?+
Day 1: Getting Started with FastAI and First Models. Day 2: Deep Dive: Advanced Pipelines and Computer Vision. Day 3: NLP, Deployment, and Project Industrialization. The Training: Mastering FastAI: From Initiation to Deployment in Machine Learning program runs over 3 days, delivered on site.
How is Training: Mastering FastAI: From Initiation to Deployment in Machine Learning training assessed?+
Assessment relies on completion of mini practical projects at the end of each day, final multiple-choice quiz on FastAI concepts and presentation of an end-to-end project with FastAI. Learni issues a completion certificate together with the individual assessment report at the end of the Training: Mastering FastAI: From Initiation to Deployment in Machine Learning program, which an L&D team can file as evidence.
How much does Training: Mastering FastAI: From Initiation to Deployment in Machine Learning training cost per participant?+
Training: Mastering FastAI: From Initiation to Deployment in Machine Learning training costs $3,465 per participant. For an in-company team, the flat rate starts at $6,290 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Training: Mastering FastAI: From Initiation to Deployment in Machine Learning training take?+
3 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Training: Mastering FastAI: From Initiation to Deployment in Machine Learning training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Training: Mastering FastAI: From Initiation to Deployment in Machine Learning training?+
Basic knowledge of Python, machine learning fundamentals (pandas and numpy recommended).
Is a certificate issued after Training: Mastering FastAI: From Initiation to Deployment in Machine Learning training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for Training: Mastering FastAI: From Initiation to Deployment in Machine Learning training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
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