NobleProg delivers high-quality Neural Networks training courses in Berlin, the dynamic heart of Germany's tech and innovation sector. Participants benefit from expert-led instruction tailored to the professional needs of the capital's diverse industry landscape. Join our Berlin-based programs to enhance your skills with hands-on learning experiences in a world-class urban environment.
Whether delivered online or in a physical location, our instructor-led live Neural Network training sessions guide participants through interactive discussions and practical exercises. These sessions demonstrate how to build Neural Networks utilizing a variety of primarily open-source toolkits and libraries. Furthermore, we explore how to leverage the capabilities of advanced hardware, such as GPUs, and apply optimization techniques that involve distributed computing and big data. Our curriculum is grounded in widely used programming languages including Python, Java, and R, and incorporates powerful libraries such as TensorFlow, Torch, Caffe, and Theano. The training covers both theoretical concepts and practical implementation, encompassing various architectures like Deep Neural Networks (DNN), Convolutional Neural Networks (CNN), and Recurrent Neural Networks (RNN).
We offer Neural Network training as either "online live training" or "onsite live training". Online live training, also referred to as "remote live training", is conducted via an interactive remote desktop. Onsite live training can be hosted directly at client locations in Berlin or at NobleProg corporate training facilities in Berlin.
Our training facilities are located at Brückenstr. 4 in Berlin. Located on the fourth floor of a well-kept office building, our premises offer enough space for successful training courses in the heart of Berlin, within walking distance of the Jannowitzbrücke station.
Directions
The NobleProg training facilities are located in the heart of Berlin's Mitte district, just one underground station from Alexanderplatz, one of the centres of this vibrant city. By public transport you can reach us either by underground line U8 to Jannowitzbrücke station, followed by about 100 meters on foot.
Parking
Cars can be parked in the area along Brückenstr. and the nearby side streets, even if you may have to search for a moment. There is no charge for parking.
Local Amenities
Around the Rosenthaler Platz there are numerous small restaurants and shops where you can eat well and cheaply. There are also some hotels close by if you need accommodation for the training.
Our training facilities are located at Dianastrasse 46 in Potsdam-Babelsberg.
Our spacious training rooms are located directly opposite the Filmstudios Babelsberg and offer optimal training conditions for your needs.
Arrival
The NobleProg training facilities are conveniently located near the Medienstadt Babelsberg railway station,
and the A115 motorway is also easily accessible.
Parking
Parking is available in the surrounding streets around our training rooms.
Local Services
Potsdam offers numerous hotels and restaurants and is easily accessible thanks to its well-developed public transport system.
This instructor-led, live training in Berlin (delivered online or on-site) is tailored for advanced professionals aiming to explore state-of-the-art XAI techniques for deep learning models, prioritizing the creation of interpretable AI systems.
Upon completion, participants will possess the ability to:
Comprehend the complexities of explainability within deep learning.
Execute advanced XAI techniques applicable to neural networks.
Interpret the outputs and decisions generated by deep learning models.
Weigh the trade-offs inherent in balancing performance with transparency.
This practical training in Berlin empowers programmers to develop AI models from scratch using Python. You will gain proficiency in supervised learning, neural networks, and unsupervised techniques by utilizing scikit-learn and Apache Spark. The program emphasizes hands-on Jupyter exercises to address real-world challenges effectively.
This instructor-led course on Berlin delves into both the theoretical principles and hands-on implementation of Deep Reinforcement Learning using Python. Participants will learn to build and train DRL agents with TensorFlow or PyTorch, utilizing key algorithms like DQN and PPO to address complex, real-world challenges.
An introductory training on Berlin that explores AI fundamentals, ranging from intelligent agents to machine learning. It empowers executives and architects to evaluate emerging AI trends, integrate practical solutions, and boost business agility through automated strategies.
Discover the transformative impact of Machine Learning and Deep Learning on the automotive sector. This Berlin course delves into core concepts, spanning from simple automation to autonomous decision-making, and features neural networks alongside practical TensorFlow examples for real-world applications.
This comprehensive three-day program in Berlin examines both the theoretical and practical aspects of Artificial Neural Networks, Machine Learning, and Deep Learning. Attendees will investigate network architectures, learning mechanisms, and underlying mathematical principles, progressing from foundational perceptrons to sophisticated deep learning methodologies.
This live, instructor-led training in Berlin (available online or onsite) offers an introductory perspective on pattern recognition and machine learning. It covers practical applications within statistics, computer science, signal processing, computer vision, data mining, and bioinformatics.
By the end of the course, participants will have the ability to:
Apply core statistical methods to pattern recognition.
Leverage key models like neural networks and kernel methods for data analysis.
Implement advanced techniques for complex problem-solving.
Improve prediction accuracy by integrating various models.
This 35-hour course in Berlin delves into 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 how to build, train, and deploy production-grade deep learning models for real-world applications.
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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
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