An Intensive 5-day Training Course
Hands on Deep Learning
Building, Training and Deploying Neural Networks in Practice
CLASSROOM DATES
INTRODUCTION
This highly participative EuroMaTech training course will help you to cultivate practical, working skills in deep learning by building and training neural networks from the ground up. Rather than dwelling on theory alone, the course emphasises hands-on implementation using modern frameworks, so you learn by doing. You will progress from the fundamentals of neural networks through convolutional and recurrent architectures to modern techniques, gaining the confidence to apply deep learning to real problems in vision, language and structured data within your own domain.
This training course will help you to cultivate an end-to-end workflow for deep learning projects, from data preparation to model deployment. You will train, tune and evaluate models, learn to diagnose and fix common training problems, and understand how to move a model from a notebook into production. Through guided coding labs and realistic datasets, you will leave able to design, implement and improve deep learning solutions and to communicate their value and limitations to technical and business stakeholders.
Course Highlights
- Build and train neural networks using a modern framework
- Implement convolutional networks for computer vision tasks
- Apply recurrent and transformer models to sequence data
- Tune, regularise and evaluate models effectively
- Diagnose and resolve common training problems
- Deploy and monitor models in realistic settings
TRAINING OBJECTIVES
This Hands on Deep Learning training course aims to enable participants to achieve the following objectives:
- Explain the core building blocks of deep neural networks
- Implement and train models using a modern deep learning framework
- Apply CNNs, RNNs and transformers to appropriate problems
- Tune hyperparameters and apply regularisation techniques
- Evaluate models and diagnose underfitting and overfitting
- Deploy trained models and monitor their performance
WHO SHOULD ATTEND?
This EuroMaTech training course is designed specifically for those professionals who are working with data or software and who want practical, hands-on skills to build, train and deploy deep learning models in their own projects.
- Software engineers and developers moving into machine learning
- Data analysts and data scientists
- Engineers and researchers with programming experience
- Technical professionals building AI-enabled products
- Students and practitioners strengthening applied ML skills
- Anyone needing hands-on deep learning competence
TRAINING METHODOLOGY
This Hands on Deep Learning training course will combine presentations with interactive practical exercises, supported by video materials, activities and case studies. Delegates will be encouraged to participate actively in relating the principles of deep learning and applied machine learning to their own data and problems. The blended approach reinforces learning through guided coding labs, worked examples and discussion, ensuring each technique is both understood and ready to apply on return to the workplace.
TRAINING SUMMARY
This training course delivers a practical, code-first introduction to deep learning, taking participants from the fundamentals of neural networks to the implementation of modern architectures for vision, language and structured data. Emphasising hands-on work with a widely used framework, the programme covers the full project workflow: preparing data, building and training models, tuning hyperparameters, diagnosing training problems, and deploying and monitoring finished models. Through guided labs on realistic datasets, delegates build genuine competence rather than theoretical familiarity, finishing able to design, implement and improve deep learning solutions and to communicate their value and limitations with confidence.
TRAINING OUTLINE
Day 1: Foundations of Deep Learning
- From machine learning to deep learning
- Tensors, data pipelines and tooling setup
- Neurons, layers, activations and loss functions
- Forward and backward propagation intuition
- Lab: training your first neural network
Day 2: Training Neural Networks Well
- Optimisers, learning rates and schedules
- Regularisation: dropout, weight decay, augmentation
- Diagnosing underfitting and overfitting
- Batch normalisation and initialisation
- Lab: improving a model that will not converge
Day 3: Computer Vision with CNNs
- Convolutions, pooling and CNN architectures
- Building an image classifier from scratch
- Transfer learning with pretrained networks
- Object detection and segmentation overview
- Lab: image classification on a real dataset
Day 4: Sequence Models and Transformers
- Recurrent networks and their limitations
- Attention and the transformer architecture
- Working with text and time-series data
- Using and fine-tuning pretrained language models
- Lab: a sequence or text classification task
Day 5: Deployment and Applied Practice
- Saving, serving and deploying models
- Monitoring performance and data drift
- Scaling, efficiency and hardware considerations
- Ethics, bias and model limitations
- Capstone project and individual action planning
CALL ME BACK
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ACCREDITATION
EuroMaTech is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.NASBARegistry.org.
FAQ
We are happy to share the profiles of our expert instructors. To learn more about their qualifications and experience, please contact us info@euromatech.com
We provide flexible training formats to suit your preferences:
- Classroom Training: Experience in-person learning with expert instructors. Engage in interactive discussions, hands-on activities, and benefit from face-to-face networking.
- Online Training: Join live online sessions from anywhere, offering flexibility for those with busy schedules or who prefer remote learning.
- In-House Training: We can bring our training directly to your organization, allowing for tailored sessions that address your specific needs and objectives.
Yes, we provide tailored training solutions designed to meet the specific needs of your organization. Customized courses can be delivered either in-person or online, and you can select the dates and duration that best fit your schedule. For more details, please contact us at inhouse@euromatech.com
Yes, we can assist you with the following:
- Corporate Discount: If available, we can extend our corporate discount for your stay at selected hotels.
- Hotel Suggestions: We can provide recommendations for nearby hotels based on your preferences and budget.
Feel free to explore online booking platforms for the most cost-effective options.
