Training NLP with TensorFlow – advanced deep learning techniques
Practical information about training
- CATEGORY: Technologies
- SUBCATEGORY: AI
- TRAINING CODE: IT-AI-98
- DURATION: 5 days
- PRICE INFORMATION from: 6350 PLN net
- LANGUAGE OF TRAINING: polish
- FORM OF IMPLEMENTATION: stationary, online
Training description
The training focuses on advanced deep learning techniques in natural language processing using the TensorFlow framework. The program covers the design, implementation and optimization of complex neural architectures for language tasks. Classes are conducted in the form of intensive workshops, where participants work on real NLP projects using the latest developments in deep learning. Special emphasis is placed on the practical aspects of implementing models in a production environment and optimizing their performance.
Participant profile
- Deep learning specialists working with NLP
- ML engineers with experience in TensorFlow
- Data scientists specializing in language models
- AI researchers developing neural models
- AI application developers
- ML solution architects
- NLP experts implementing production models
Agenda
- Model architecture for NLP
- Recurrent networks (RNN, LSTM, GRU).
- Mechanisms of attention
- Transformer architectures
- Advanced regularization techniques
- Implementation in TensorFlow
- Efficient data processing
- Custom layers and loss functions
- Advanced training techniques
- Distributed training
- Optimization of models
- Techniques for accelerating training
- Quantization and pruning
- Inference optimization
- Performance profiling
- Deployment and scaling
- TensorFlow Serving
- Optimization for memory
- Deployment techniques
- Monitoring models
Benefits
Upon completion of the training, the participant will be able to design and implement advanced deep learning architectures for NLP tasks. Will gain the ability to effectively use TensorFlow to create scalable language solutions. Will be able to optimize model performance for production applications. Will learn to implement state-of-the-art neural architectures for text processing. Will master techniques for training and implementing large-scale models. Will gain hands-on experience in solving complex NLP problems.
Required preparation of participants
- Advanced knowledge of TensorFlow
- Experience in deep learning
- Sound knowledge of NLP
- Practice in the implementation of ML models
Issues
- Deep learning architectures for NLP
- Advanced training techniques
- Optimization of models
- Mechanisms of attention
- Transformers and their variants
- Distributed training
- TensorFlow Serving
- Quantization of models
- Performance profiling
- Production deployment
- Monitoring models
- Scaling NLP solutions
Do you have any questions?
Feel free to contact us.
Patrycja Petkowska
+48 735 257 272
patrycja.petkowska@eitt.academy
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.
Patrycja Petkowska
+48 735 257 272
patrycja.petkowska@eitt.academy
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























