Training AutoML: Mastering Machine Learning Automation to Boost Your AI Projects

$3,465

  • 3 days
  • Onsite
  • 8 people max.
Ref: NBR537
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 mastery of AutoML, your Machine Learning pipelines remain manual and time-consuming, limiting your AI projects to slow and imprecise iterations.

  • Teams lose an average of 70% of their time on tuning and feature engineering, resulting in 3 to 6 month delays per project and 40% additional costs on budgets.

  • 85% of AI implementation failures stem from these inefficiencies, exposing your company to estimated revenue losses of 150 000 € per incident and rapid market share erosion.

  • Every quarter without automation widens the competitive gap, directly threatening your strategic position and career.

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

AutoML training objectives

  • Understand the fundamental concepts of AutoML
  • Discover and use the main open source and cloud AutoML platforms
  • Automate data preparation, feature engineering, model selection, hyperparameter optimization, and performance evaluation
  • Integrate and deploy an AutoML solution into a professional workflow
  • Recognize the limits and best practices of AutoML

Program

AutoML curriculum: 3 modules over 3 days

Module 1 : Introduction to AutoML and Overview of Tools

Definition of AutoML, history, challenges and use cases; presentation of the AutoML ecosystem (H2O, auto-sklearn, TPOT, Google Cloud AutoML, Azure AutoML); installation and first hands-on; criteria for choosing platforms based on business objectives.

Module 2 : Automation of Preprocessing and Model Selection

Automation of data cleaning and preparation; automated feature engineering; automatic model selection; handling tabular, textual, and image datasets; practical exercises on different platforms.

Module 3 : Advanced Optimization, Interpretability & Integration

Automatic hyperparameter optimization; interpretability of AutoML models; benchmarks, cross-validation, and performance evaluation; deployment of an AutoML pipeline in a professional environment; limits and best practices; outlook on the evolution of AutoML.

How AutoML skills are assessed

  • Completion of a mini AutoML project in pairs at the end of the training
  • Daily quizzes to validate knowledge acquisition
  • Collective review of practical exercises

How the AutoML course is taught

  • Interactive presentations and professional experience feedback
  • Guided hands-on sessions on real datasets
  • Concrete case studies, complete course materials, and additional resources

AutoML training: access and practical arrangements

The Training AutoML: Mastering Machine Learning Automation to Boost Your AI Projects 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 AutoML: Mastering Machine Learning Automation to Boost Your AI Projects 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 AutoML: Mastering Machine Learning Automation to Boost Your AI Projects 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 AutoML 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

AutoML: frequently asked questions

What can participants do after AutoML: Mastering Machine Learning Automation to Boost Your AI Projects training?+
They can understand the fundamental concepts of AutoML, discover and use the main open source and cloud AutoML platforms and automate data preparation, feature engineering, model selection, hyperparameter optimization, and performance evaluation. Those are the stated objectives of the AutoML: Mastering Machine Learning Automation to Boost Your AI Projects program at Intermediate level, checked by the end-of-session assessment.
What does the AutoML: Mastering Machine Learning Automation to Boost Your AI Projects program cover, day by day?+
Day 1: Introduction to AutoML and Overview of Tools. Day 2: Automation of Preprocessing and Model Selection. Day 3: Advanced Optimization, Interpretability & Integration. The AutoML: Mastering Machine Learning Automation to Boost Your AI Projects program runs over 3 days, delivered on site.
How is AutoML: Mastering Machine Learning Automation to Boost Your AI Projects training assessed?+
Assessment relies on completion of a mini AutoML project in pairs at the end of the training, daily quizzes to validate knowledge acquisition and collective review of practical exercises. Learni issues a completion certificate together with the individual assessment report at the end of the AutoML: Mastering Machine Learning Automation to Boost Your AI Projects program, which an L&D team can file as evidence.
How much does AutoML: Mastering Machine Learning Automation to Boost Your AI Projects training cost per participant?+
AutoML: Mastering Machine Learning Automation to Boost Your AI Projects 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 AutoML: Mastering Machine Learning Automation to Boost Your AI Projects 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 AutoML: Mastering Machine Learning Automation to Boost Your AI Projects 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 AutoML: Mastering Machine Learning Automation to Boost Your AI Projects training?+
Machine learning basics, Python programming knowledge recommended.
Is a certificate issued after AutoML: Mastering Machine Learning Automation to Boost Your AI Projects 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 AutoML: Mastering Machine Learning Automation to Boost Your AI Projects 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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