Training: Hyperparameter Optimization in Deep Learning with Optuna: Complete and Practical Guide

$2,310

  • 2 days
  • Onsite
  • 8 people max.
Ref: FWG529
8 people max.
$2,310
In-company rate: from $4,190 for the whole team
On-site and certification exam on quote
2 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastery of hyperparameter optimization in Deep Learning with Optuna, your models stagnate at 20-30% below optimal performance, wasting weeks of costly GPU compute.

  • Data scientists lose an average of 150 hours per project on inefficient manual trials, representing up to 50 000 € in unused cloud resources annually per team.

  • These underperformances drive 70% of ML deployment failures in production, exposing your company to multi-million-dollar business losses and undermining your competitive edge.

  • Every month without Optuna expertise amplifies the risks, directly threatening your career and the profitability of your AI initiatives.

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

40,842 programs · 25 countries

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  • Microsoft

Every program built with a dedicated engineer

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

Hyperparameter Optimization training objectives

  • Master the theoretical basics of hyperparameter optimization
  • Get hands-on with Optuna for automatic optimization
  • Know how to integrate Optuna into machine learning projects (scikit-learn, TensorFlow, etc.)
  • Design advanced optimization studies (pruning, custom samplers, multi-objectives)
  • Industrialize workflows with Optuna (visualization, storage, reproducibility)
  • Avoid common pitfalls and correctly interpret results

Hyperparameter Optimization curriculum: 3 modules over 2 days

Module 1 : Fundamentals of Optimization and Introduction to Optuna

Introduction to hyperparameter optimization: challenges, traditional methods vs. automatic. Presentation of Optuna, installation, architecture (studies, trials). Python interface. First practical project: optimization of a scikit-learn classifier.

Module 2 : Deep Dive into Search Functions and Pruning

Study of sampling algorithms (TPE, Random, CMA-ES). Early stopping methods (pruning) to save computation time. Practical exercises on optimizing deep learning models with Keras or PyTorch. Setting up custom callbacks to monitor trials.

Module 3 : Customization, Advanced Analysis & Industrialization with Optuna

Designing custom samplers and handling multiple constraints. Multi-objective studies and advanced visualization of results (importance, evolution, correlations). Integrating Optuna into industrial pipelines (storage with RDB, use with DVC/MLflow). Best practices, debugging, reproducibility, Q&A and real cases on client data.

How Hyperparameter Optimization skills are assessed

  • Practical hands-on exercise on an optimization project
  • Knowledge quiz
  • Individual feedback on projects completed during the training

How the Hyperparameter Optimization course is taught

  • Interactive course with live demonstrations
  • Practical exercises on Jupyter Notebook
  • Real-world case studies in teams
  • Detailed course materials and notebooks provided

Hyperparameter Optimization training: access and practical arrangements

The Training: Hyperparameter Optimization in Deep Learning with Optuna: Complete and Practical Guide 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: Hyperparameter Optimization in Deep Learning with Optuna: Complete and Practical Guide 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: Hyperparameter Optimization in Deep Learning with Optuna: Complete and Practical Guide 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 Hyperparameter Optimization 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.

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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

Hyperparameter Optimization: frequently asked questions

What can participants do after Training: Hyperparameter Optimization in Deep Learning with Optuna: Complete and Practical Guide training?+
They can master the theoretical basics of hyperparameter optimization, get hands-on with Optuna for automatic optimization and know how to integrate Optuna into machine learning projects (scikit-learn, TensorFlow, etc.). Those are the stated objectives of the Training: Hyperparameter Optimization in Deep Learning with Optuna: Complete and Practical Guide program at Advanced level, checked by the end-of-session assessment.
What does the Training: Hyperparameter Optimization in Deep Learning with Optuna: Complete and Practical Guide program cover, day by day?+
Day 1: Fundamentals of Optimization and Introduction to Optuna. Day 2: Deep Dive into Search Functions and Pruning. Day 3: Customization, Advanced Analysis & Industrialization with Optuna. The Training: Hyperparameter Optimization in Deep Learning with Optuna: Complete and Practical Guide program runs over 2 days, delivered on site.
How is Training: Hyperparameter Optimization in Deep Learning with Optuna: Complete and Practical Guide training assessed?+
Assessment relies on practical hands-on exercise on an optimization project, knowledge quiz and individual feedback on projects completed during the training. Learni issues a completion certificate together with the individual assessment report at the end of the Training: Hyperparameter Optimization in Deep Learning with Optuna: Complete and Practical Guide program, which an L&D team can file as evidence.
How much does Training: Hyperparameter Optimization in Deep Learning with Optuna: Complete and Practical Guide training cost per participant?+
Training: Hyperparameter Optimization in Deep Learning with Optuna: Complete and Practical Guide training costs $2,310 per participant. For an in-company team, the flat rate starts at $4,190 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: Hyperparameter Optimization in Deep Learning with Optuna: Complete and Practical Guide training take?+
2 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: Hyperparameter Optimization in Deep Learning with Optuna: Complete and Practical Guide 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: Hyperparameter Optimization in Deep Learning with Optuna: Complete and Practical Guide training?+
Knowledge of supervised machine learning, Python, basics of deep learning (PyTorch or TensorFlow), experience training models.
Is a certificate issued after Training: Hyperparameter Optimization in Deep Learning with Optuna: Complete and Practical Guide 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: Hyperparameter Optimization in Deep Learning with Optuna: Complete and Practical Guide 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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