Training: AutoML - Accelerate your Machine Learning Projects through Automation

$3,465

  • 3 days
  • Onsite
  • 8 people max.
Ref: SGL888
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 mastering AutoML, your Machine Learning projects stall in time-consuming manual iterations that multiply modeling errors by 5.

  • A company loses an average of 500 000 € per failed project, with 85 % of ML initiatives never reaching production due to lack of effective automation.

  • These delays expose your team to a 30 % loss of competitiveness against agile competitors, directly threatening business objectives and your career advancement.

  • Each month without AutoML wastes 20 weeks of data scientist effort on repetitive tasks.

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 AutoML concepts and challenges
  • Discover and compare the main open source and commercial AutoML frameworks
  • Know how to automate key machine learning steps (preprocessing, model selection, hyperparameter optimization)
  • Practice end-to-end AutoML workflows on real datasets
  • Evaluate the limits, best practices, and risks of an AutoML approach

Program

AutoML curriculum: 3 modules over 3 days

Module 1 : Introduction and Fundamentals of AutoML

Presentation of AutoML: context, advantages, barriers, and use cases. Automation of data preprocessing and feature engineering. Overview of AutoML tools (Google AutoML, AutoKeras, H2O.ai, TPOT, Auto-sklearn, etc.). Demo of a simple AutoML workflow with a Python notebook.

Module 2 : Practical Workflows and AutoML Integration

Detailed steps of an AutoML pipeline: from data preparation to exporting a production-ready model. Project management: algorithm selection, automatic tuning, interpretability. Practical workshops on several sectoral datasets (marketing, finance, health, industry).

Module 3 : Limits, Risks, and Best Practices for Industrializing AutoML

Critical analysis: potential biases, overfitting, security, and governance. Performance optimization and result interpretation. Integration of AutoML models into an existing architecture (API, cloud). Feedback from experience, individual support on your own use cases, advice on monitoring and tool selection.

How AutoML skills are assessed

  • Quiz to validate knowledge at the end of the training
  • Practical case study with oral presentation
  • Interactive correction of group exercises

How the AutoML course is taught

  • Interactive theoretical courses
  • Live coding demonstrations
  • Practical workshops on real data
  • Access to a digital resources space (slides, notebooks, technical supports)

AutoML training: access and practical arrangements

The Training: AutoML - Accelerate your Machine Learning Projects through Automation 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 - Accelerate your Machine Learning Projects through Automation 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 - Accelerate your Machine Learning Projects through Automation 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 Training: AutoML training?+
They can understand AutoML concepts and challenges, discover and compare the main open source and commercial AutoML frameworks and know how to automate key machine learning steps (preprocessing, model selection, hyperparameter optimization). Those are the stated objectives of the Training: AutoML program at Intermediate level, checked by the end-of-session assessment.
What does the Training: AutoML program cover, day by day?+
Day 1: Introduction and Fundamentals of AutoML. Day 2: Practical Workflows and AutoML Integration. Day 3: Limits, Risks, and Best Practices for Industrializing AutoML. The Training: AutoML program runs over 3 days, delivered on site.
How is Training: AutoML training assessed?+
Assessment relies on quiz to validate knowledge at the end of the training, practical case study with oral presentation and interactive correction of group exercises. Learni issues a completion certificate together with the individual assessment report at the end of the Training: AutoML program, which an L&D team can file as evidence.
How much does Training: AutoML training cost per participant?+
Training: AutoML 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: AutoML 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: AutoML 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: AutoML training?+
Mastery of data science basics (data management and manipulation, machine learning concepts), basic Python knowledge.
Is a certificate issued after Training: AutoML 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: AutoML 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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Let's build your AutoML learning path.

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