Training Artificial neural networks, machine learning and deep thinking
Practical information about training
- CATEGORY: Technologies
- SUBCATEGORY: AI
- TRAINING CODE: IT-AI-94
- DURATION: 3 days
- PRICE INFORMATION from: 2950 PLN net
- LANGUAGE OF TRAINING: polish
- FORM OF IMPLEMENTATION: stationary, online
Training description
The training offers a comprehensive look at advanced artificial intelligence techniques, combining neural network theory with practical machine and deep learning. The program guides participants through advanced concepts, algorithms and methodologies, enabling them to understand and put into practice the latest advances in AI. Hands-on workshops allow participants to implement and experiment with different types of models on their own.
Participant profile
- Machine learning specialists
- AI engineers working on advanced projects
- AI research scientists
- ML/DL solution architects
- Experienced AI developers
- Data science experts
Agenda
- Advanced neural networks
- Deep network architectures
- Mechanisms of attention
- Recursive networks
- Transformers
- Specialized learning techniques
- Transfer learning
- Multitasking learning
- Federation learning
- Teaching reinforcement
- Implementation of advanced models
- Architectural design
- Training strategies
- Performance optimization
- Debugging models
- Manufacturing solutions
- Scalability of models
- Optimization of resources
- Experiment management
- Production monitoring
Benefits
Upon completion of the training, the participant will gain in-depth knowledge of advanced artificial intelligence techniques. He will be able to design and implement complex neural network architectures. He will develop the ability to apply advanced machine learning techniques in practice. Will learn to optimize and tune advanced AI models. Will gain experience in implementing state-of-the-art solutions based on transformers and attention mechanisms. Will be able to manage complex AI projects in a production environment.
Required preparation of participants
- Practical knowledge of machine learning
- Experience in the implementation of neural networks
- Advanced knowledge of mathematics and statistics
- Knowledge of deep learning frameworks
Issues
- Deep network architectures
- Mechanisms of attention
- Transfer learning
- Multitasking learning
- Transformers
- Optimization of models
- Experiment management
- Scalability of solutions
- Computing performance
- Debugging models
- Advanced metrics
- Production deployments
Do you have any questions?
Feel free to contact us.
Klaudia Janecka
+48 539 064 686
klaudia.janecka@eitt.pl
31 Ząbkowska Street 03-736 Warsaw
Forms of training delivery
Stationary training
- Training at the customer's premises or at a designated location
- Training room equipped with the necessary equipment
- Training materials in electronic form
- Coffee breaks and lunch
- Direct interaction with the trainer
- Networking in a group
- Workshop exercises in teams
Remote training
- Virtual training environment
- Electronic materials
- Interactive online exercises
- Breakout rooms for group work
- Technical support during the training
- Recordings of the session (optional)
Possibility of funding
The training can be financed with public funds under:
- National Training Fund (KFS)
- Development Services Base (BUR)
- EU projects implemented by PARP
- HR Academy Program (PARP)
- Regional operational programs
If you are interested in funding, our team will help you prepare the required documentation.
HAVE A QUESTION?
Contact us for more information about our training, programs and cooperation. We will be happy to answer all your inquiries!
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Do you have any questions?
Feel free to contact us.
Klaudia Janecka
+48 539 064 686
klaudia.janecka@eitt.pl
31 Ząbkowska Street 03-736 Warsaw
FAQ - Frequently Asked Questions
- One-pager invitation with deadlines
- Project kick-off
- Strategic leadership and thinking
- Communication and Cooperation. Conflict management
- Motivating, engaging and difficult decisions in business
- Managing Change and Innovation. Leadership in crisis
- Building the organization of the future
- Best practices workshop - retrospective; creating a coherent program for middle and lower management levels























