Training: Mastering Deep Learning Applied to Computer Vision with Ultralytics

On quote$3,465

  • 3 days
  • Onsite
  • 8 people max.
Ref: ZMA713
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 Deep Learning applied to Computer Vision with Ultralytics, 70% of AI projects fail at the deployment stage, according to IDC studies.

  • This generates an average loss of 150 000 € per failed initiative, with cumulative delays of 4 to 6 months in production.

  • Your teams waste 50 hours per month on ineffective debugging, exposing the company to critical false positives in surveillance or manufacturing and directly threatening your professional advancement.

  • Every quarter without advanced skills amplifies competitive vulnerability, risking a 20% erosion of market share.

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

25,718 programs · 25 countries

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

Every program built with a dedicated engineer

  • OpenAI
  • Anthropic
  • Mistral AI
  • NVIDIA
  • Google
  • Amazon Web Services
  • Microsoft Dynamics 365
  • Salesforce
  • ServiceNow
  • SAP
  • Oracle
  • Cisco
  • Fortinet
  • Palo Alto Networks
  • Aruba
  • VMware
  • Red Hat
  • Databricks
  • Snowflake
  • OVHcloud
  • Notion
  • AMD
  • Apple

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

Learning objectives

  • Understand the basic concepts of computer vision and convolutional neural networks (CNNs)
  • Install and configure the Ultralytics environment on different systems
  • Preprocess image data for training Ultralytics models
  • Use the Ultralytics API for training, evaluating, and exporting YOLO models
  • Optimize and customize an Ultralytics model for your own datasets
  • Deploy and operate a trained model in production (API, edge computing, etc.)
  • Analyze and interpret results to improve performance

Program

Module 1Introduction to Ultralytics and Computer Vision

Presentation of the Ultralytics library and its uses in computer vision. History of YOLO models. Fundamental concepts of object detection. Installation of the environment (Python, package manager, GPU). Hands-on with Ultralytics notebooks.

Module 2Data Preparation and First Trainings

Collection, annotation, and organization of datasets (YOLO and COCO formats). Data augmentation methods. Use of the Ultralytics LabelImg tool. Training a first model on an example dataset. Monitoring metrics, interpreting training logs.

Module 3Optimization, Customization, and Deployment of Ultralytics Models

Optimization techniques (hyperparameters, callbacks, scheduler). Fine-tuning on specific datasets. Model export (ONNX, TorchScript). Production deployment: REST APIs, mobile applications, and edge computing. Best practices for evaluation and improving robustness. Real case study and practical workshop on object detection for a concrete project.

Evaluation method

  • Multiple-choice quizzes at the beginning and end of the training
  • Practical cases of model training and customization
  • Presentation of a mini-project by each participant

Learning method

  • Alternation of theoretical courses and practical workshops
  • Hands-on sessions with real datasets
  • Digital course materials and supplementary resources

Methods, materials and delivery

The Training: Mastering Deep Learning Applied to Computer Vision with Ultralytics 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 Deep Learning Applied to Computer Vision with Ultralytics 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 Deep Learning Applied to Computer Vision with Ultralytics 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 Training: Mastering Deep Learning Applied to Computer Vision with Ultralytics training?+
They can understand the basic concepts of computer vision and convolutional neural networks (CNNs), install and configure the Ultralytics environment on different systems and preprocess image data for training Ultralytics models. Those are the stated objectives of the Training: Mastering Deep Learning Applied to Computer Vision with Ultralytics program at Intermediate level, checked by the end-of-session assessment.
What does the Training: Mastering Deep Learning Applied to Computer Vision with Ultralytics program cover, day by day?+
Day 1: Introduction to Ultralytics and Computer Vision. Day 2: Data Preparation and First Trainings. Day 3: Optimization, Customization, and Deployment of Ultralytics Models. The Training: Mastering Deep Learning Applied to Computer Vision with Ultralytics program runs over 3 days, delivered on site.
How is Training: Mastering Deep Learning Applied to Computer Vision with Ultralytics training assessed?+
Assessment relies on multiple-choice quizzes at the beginning and end of the training, practical cases of model training and customization and presentation of a mini-project by each participant. Learni issues a completion certificate together with the individual assessment report at the end of the Training: Mastering Deep Learning Applied to Computer Vision with Ultralytics program, which an L&D team can file as evidence.
How much does Training: Mastering Deep Learning Applied to Computer Vision with Ultralytics training cost per participant?+
Training: Mastering Deep Learning Applied to Computer Vision with Ultralytics 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 Training: Mastering Deep Learning Applied to Computer Vision with Ultralytics 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 Deep Learning Applied to Computer Vision with Ultralytics 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 Deep Learning Applied to Computer Vision with Ultralytics training?+
Python basics and fundamental knowledge of artificial intelligence and machine learning.
Is a certificate issued after Training: Mastering Deep Learning Applied to Computer Vision with Ultralytics 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 Deep Learning Applied to Computer Vision with Ultralytics 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.
Your professional training, anywhere

Let's build
your next
program.

30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.

Reply within 24h · Vetted experts · USD invoicing · W-9 available
On-site & remote

This training across cities

Available on-site and remotely. Pick your city to see the local training center.

Share in 2 clicks