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Amiens, City Center

Centre International Jules Vernes, 72 rue des Jacobins, Amiens, france, 80000

Nearest airport to the training center: Roissy Charles-de-Gaulle International Airport Nearest train station: Amiens train station Nearest parking lot to training center: Parking EFFIA Amiens The Jacobins Nearby cafés, restaurants and bars: Restaurant L'adresse, Restaurant From's bistrot à Fromages, Bar Tower's Pub Training can also be organized on your premises in Strasbourg or remotely. The 3rd option is to rent a room specifically for the duration of the course. Training sessions can be given in English or French. For each session, we organize a coordination call with the trainer and participants to adapt the program to your expectations and level. Training includes theory, discussion, questions/answers and practical exercises. Remote training is delivered via DaDesktop for training, a software package published by NobleProg that enables participants to have a workstation (VM) set up specifically for the training.

Explore Our Courses

Explainability in Deep Learning: Demystifying Black-Box Models

 21 Hours

This instructor-led live training in Amiens (online or onsite) is aimed at advanced-level professionals who wish to explore state-of-the-art XAI techniques for deep learning models, with a focus on building interpretable AI systems.

By the end of this training, participants will be able to:

  • Understand the challenges of explainability in deep learning.
  • Implement advanced XAI techniques for neural networks.
  • Interpret decisions made by deep learning models.
  • Evaluate the trade-offs between performance and transparency.
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Applied AI from Scratch in Python

 28 Hours
This hands-on training in Amiens enables programmers to build AI models from the ground up using Python. You will develop proficiency in supervised learning, neural networks, and unsupervised techniques with scikit-learn and Apache Spark. The course emphasizes practical Jupyter exercises aimed at solving real-world problems.
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Deep Reinforcement Learning with Python

 21 Hours
This instructor-led training on Amiens explores the theoretical underpinnings and practical application of Deep Reinforcement Learning using Python. Participants will design and train DRL agents using TensorFlow or PyTorch, leveraging algorithms like DQN and PPO to address complex, real-world challenges.
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Artificial Intelligence (AI) Overview

 7 Hours
An introductory module in Amiens that covers the basics of AI, ranging from intelligent agents to machine learning. It empowers leaders and architects to evaluate new AI trends, deploy practical solutions, and drive business agility through strategic automation.
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Artificial Intelligence (AI) in Automotive

 14 Hours
Explore how Machine Learning and Deep Learning transform the automotive sector. This Amiens course covers core concepts from simple automation to autonomous decision-making, including neural networks and practical TensorFlow examples for real-world applications.
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Artificial Neural Networks, Machine Learning, Deep Thinking

 21 Hours
This intensive three-day program in Amiens provides a comprehensive overview of the theoretical underpinnings and practical applications of Artificial Neural Networks, Machine Learning, and Deep Learning. Participants will examine various network architectures, learning mechanisms, and mathematical foundations, progressing from basic perceptrons to sophisticated deep learning techniques.
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Pattern Recognition

 21 Hours

This instructor-led, live training in Amiens (online or on-site) provides an introduction into the field of pattern recognition and machine learning. It touches on practical applications in statistics, computer science, signal processing, computer vision, data mining, and bioinformatics.

By the end of this training, participants will be able to:

  • Apply core statistical methods to pattern recognition.
  • Use key models like neural networks and kernel methods for data analysis.
  • Implement advanced techniques for complex problem-solving.
  • Improve prediction accuracy by combining different models.
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Understanding Deep Neural Networks

 35 Hours
This 35-hour course in Amiens explores the fundamentals of deep neural networks, covering CNNs, RNNs, and generative models such as GANs. Participants will gain practical experience with Theano and TensorFlow, learning to construct, train, and deploy production-grade deep learning models for real-world scenarios.
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Testimonials (3)

Getting people that never used AI some repetition in prompting and people that do use AI to consider different methods to using it.

Matthew Gay - Tarsus Pharmaceuticals

Course - Artificial Intelligence (AI) Overview

Working from first principles in a focused way, and moving to applying case studies within the same day

Maggie Webb - Department of Jobs, Regions, and Precincts

Course - Artificial Neural Networks, Machine Learning, Deep Thinking

That it was applying real company data. Trainer had a very good approach by making trainees participate and compete

Jimena Esquivel - Zaklad Uslugowy Hakoman Andrzej Cybulski

Course - Applied AI from Scratch in Python

Upcoming Courses

Artificial Intelligence (AI) in Automotive

2026-11-25 09:30
14 hours
Amiens, City Center
2550 EUR (Online)
2950 EUR (Classroom)

Understanding Deep Neural Networks

2026-12-09 09:30
35 hours
Amiens, City Center
6150 EUR (Online)
7150 EUR (Classroom)

Applied AI from Scratch in Python

2026-12-23 09:30
28 hours
Amiens, City Center
4950 EUR (Online)
5750 EUR (Classroom)

Applied AI from Scratch in Python

2027-01-06 09:30
28 hours
Amiens, City Center
4950 EUR (Online)
5750 EUR (Classroom)

Explainability in Deep Learning: Demystifying Black-Box Models

2027-01-20 09:30
21 hours
Amiens, City Center
3750 EUR (Online)
4350 EUR (Classroom)

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