Training YOLOv8: Mastering Object Detection with Deep Learning

On quote$3,465

  • 3 days
  • Onsite
  • 8 people max.
Ref: WHH240
8 people max.
On quote$3,465
In-company rate: on quotefrom $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 YOLOv8 for object detection, your AI models produce up to 40% false positives, generating losses of 75 000 € on average per failing project in production.

  • 65% of security incidents in computer vision are linked to poorly optimized algorithms, exposing companies to GDPR fines and costly breaches exceeding 200 000 €.

  • Each month without expertise delays time-to-market by 3 months, eroding market share and threatening the sustainability of your AI team.

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

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

Every program built with a dedicated engineer

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

Learning objectives

  • Understand the workings of the YOLOv8 architecture and its innovations
  • Install and configure the YOLOv8 environment
  • Prepare and annotate datasets suitable for object detection
  • Perform a complete training of a YOLOv8 model on your own data
  • Evaluate, optimize, and export a production-ready model
  • Integrate an object detection solution into a business application

Program

Module 1Introduction to YOLOv8 and Object Detection

Overview of object detection techniques, history of YOLO (from v1 to v8), novelties introduced by YOLOv8. Presentation of concrete business use cases. Hands-on with the Python environment, installation of PyTorch, Ultralytics YOLOv8, management of virtual environments.

Module 2Data Creation and Annotation, YOLOv8 Model Training

Dataset structuring, annotation tools (Roboflow, CVAT). Annotation format conversion. Configuration preparation. Launching training on a custom dataset, interpreting logs and results. Overfitting management, hyperparameter tuning, data augmentation.

Module 3Optimization, Export, and Deployment of a YOLOv8 Model

Model performance evaluation: mAP, recall, precision metrics. Improvement techniques: model adjustment, transfer learning, pruning. Export to ONNX, CoreML, TensorRT. Production deployment: API integration, model monitoring, retraining cycles. Case study: complete business application (real-time object recognition on webcam, video surveillance, or industrial imaging).

Evaluation method

  • Real-world case studies
  • Individual mini-projects with feedback
  • Quizzes and oral synthesis

Learning method

  • Alternation of theoretical courses and practical workshops
  • Support on individual project
  • Provision of a notebook and detailed documentary resources

Methods, materials and delivery

The Training YOLOv8: Mastering Object Detection with Deep 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 YOLOv8: Mastering Object Detection with Deep 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 YOLOv8: Mastering Object Detection with Deep 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

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.

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

Frequently asked questions

What can participants do after YOLOv8: Mastering Object Detection with Deep Learning training?+
They can understand the workings of the YOLOv8 architecture and its innovations, install and configure the YOLOv8 environment and prepare and annotate datasets suitable for object detection. Those are the stated objectives of the YOLOv8: Mastering Object Detection with Deep Learning program at Intermediate level, checked by the end-of-session assessment.
What does the YOLOv8: Mastering Object Detection with Deep Learning program cover, day by day?+
Day 1: Introduction to YOLOv8 and Object Detection. Day 2: Data Creation and Annotation, YOLOv8 Model Training. Day 3: Optimization, Export, and Deployment of a YOLOv8 Model. The YOLOv8: Mastering Object Detection with Deep Learning program runs over 3 days, delivered on site.
How is YOLOv8: Mastering Object Detection with Deep Learning training assessed?+
Assessment relies on real-world case studies, individual mini-projects with feedback and quizzes and oral synthesis. Learni issues a completion certificate together with the individual assessment report at the end of the YOLOv8: Mastering Object Detection with Deep Learning program, which an L&D team can file as evidence.
How much does YOLOv8: Mastering Object Detection with Deep Learning training cost per participant?+
YOLOv8: Mastering Object Detection with Deep Learning training is priced on quote. The amount depends on headcount, format and how far the syllabus is tailored to your team. A detailed quote is sent within one business day, and team pricing covers the whole group from the second participant.
How long does YOLOv8: Mastering Object Detection with Deep 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 YOLOv8: Mastering Object Detection with Deep 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 YOLOv8: Mastering Object Detection with Deep Learning training?+
Python basics and knowledge of deep learning.
Is a certificate issued after YOLOv8: Mastering Object Detection with Deep 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 YOLOv8: Mastering Object Detection with Deep 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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