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Hotel Melia Setubal

58, Av. Alexandre Herculano, 58 2900-206 Setúbal, Setubal, Portugal, 2900-206 Setúbal

Located in the city centre, this hotel combines contemporary decoration, modernity and comfort in a beautiful setting surrounded by beaches and nature. It is also within very easy reach of all the main attractions in Setúbal, guaranteeing a stay that is equally restful and pleasure.

Explore Our Courses

Explainability in Deep Learning: Demystifying Black-Box Models

 21 Hours

This instructor-led, live training in Setúbal (online or onsite) is targeted at advanced-level professionals who wish to investigate cutting-edge XAI techniques for deep learning models, focusing on the development of 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 Setúbal empowers programmers to construct AI models from the ground up using Python. Participants will gain proficiency in supervised learning, neural networks, and unsupervised techniques by leveraging scikit-learn and Apache Spark. The programme emphasises practical Jupyter exercises focused on solving real-world problems.
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Deep Reinforcement Learning with Python

 21 Hours
This live, instructor-led training in Setúbal explores both the theoretical basis and practical execution of Deep Reinforcement Learning using Python. Attendees will learn to construct and train DRL agents with TensorFlow or PyTorch, applying critical algorithms such as DQN and PPO to address intricate real-world challenges.
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Artificial Intelligence (AI) Overview

 7 Hours
An introductory course on Setúbal that delves into the principles of AI, ranging from intelligent agents to machine learning. This training empowers executives and architects to evaluate emerging AI trends, integrate practical solutions, and enhance business agility through automated strategies.
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Artificial Intelligence (AI) in Automotive

 14 Hours
Discover how Machine Learning and Deep Learning are reshaping the automotive industry. This Setúbal course explores fundamental concepts, progressing from simple automation to autonomous decision-making, and includes insights into neural networks as well as practical TensorFlow examples for real-world implementation.
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Artificial Neural Networks, Machine Learning, Deep Thinking

 21 Hours
This three-day program in Setúbal provides a comprehensive exploration of the theoretical and practical aspects of Artificial Neural Networks, Machine Learning, and Deep Learning. Participants will examine various network architectures, learning mechanisms, and underlying mathematical foundations, progressing from fundamental perceptrons to sophisticated deep learning methodologies.
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Pattern Recognition

 21 Hours

This instructor-led, live training in Setúbal (online or onsite) 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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Introduction to the Use of Neural Networks

 7 Hours
This introductory module outlines the core concepts of neural networks within Setúbal, covering AI fundamentals, neuron mechanics, activation functions, and network architecture. Learners will acquire knowledge of backpropagation, training methodologies, and real-world use cases, including stock market forecasting.
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Understanding Deep Neural Networks

 35 Hours
This 35-hour course on Setúbal explores the fundamentals of deep neural networks, including CNNs, RNNs, and generative models such as GANs. Participants will gain practical experience with Theano and TensorFlow, learning to build, train, and deploy production-grade deep learning models for real-world applications.
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Testimonials (4)

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

It felt like we were going through directly relevant information at a good pace (i.e. no filler material)

Maggie Webb - Department of Jobs, Regions, and Precincts

Course - Introduction to the use of neural networks

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

Provisional Upcoming Courses (Contact Us For More Information)

Understanding Deep Neural Networks

2026-11-18 09:30
35 hours
Hotel Melia Setubal

Explainability in Deep Learning: Demystifying Black-Box Models

2026-12-02 09:30
21 hours
Hotel Melia Setubal

Explainability in Deep Learning: Demystifying Black-Box Models

2026-12-16 09:30
21 hours
Hotel Melia Setubal

Artificial Neural Networks, Machine Learning, Deep Thinking

2026-12-30 09:30
21 hours
Hotel Melia Setubal

Applied AI from Scratch in Python

2027-01-13 09:30
28 hours
Hotel Melia Setubal

Explainability in Deep Learning: Demystifying Black-Box Models

2027-01-27 09:30
21 hours
Hotel Melia Setubal

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