Deep Learning with Python Course
Dive into the fundamentals of neural networks, covering architectures like CNNs, RNNs, and transformers for image recognition, NLP, and advanced AI applications.
- Duration
- 3 weeks (24 hours)
- Time per week
- 8 hours
Who this is for
This fits you if
- Data scientists and ML engineers who want to go deeper into neural networks and deep learning.
Another option may suit you better if
- You have not built a machine learning model before. Start with Machine Learning with Python Course first.
- You want to apply existing AI models rather than train your own. Take a look at Applied AI Bootcamp instead.
Not sure? Plan a free study advice call
Prerequisites
- Python and basic machine learning experience required.
What you'll learn
- Understand the most common applications of neural networks and implement basic models.
- Replicate core neural network exercises and explore advanced architectures.
- Apply deep learning techniques to solve real-world problems.
- Build and evaluate your own custom neural network from scratch.
What you'll learn, module by module
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1
Introduction to Deep Learning with PyTorch
What deep learning is, tensors in PyTorch, building neural networks, activation functions, and backpropagation.
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2
Training & Optimizing Neural Networks
Loading data, training and optimising a network, improving performance, and transfer learning.
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3
Deep Learning Project
Your own deep learning project from start to finish.
What a week looks like
The course runs for 3 weeks, and every week looks like this.
8 hours per week
5 hours
Self-study
Course material and exercises on our learning platform, whenever suits you.
1 hour
Live with your teacher
A fixed moment every week, online or at Science Park. Small group, so you get to participate.
2 hours
On your own work
Do the assignment on your own data and your own situation. No exercise files.
Teacher for this course
Johanna Ott
Deep Learning and Computer Vision
Johanna is a Senior Deep Learning Engineer building computer vision for medical screening, and teaches machine learning, Python, and deep learning courses.
First live sessions
These are the dates of each group's first live session with the teacher. You don't have to wait for them: as soon as you register, you get access to the learning materials and can start with the self-study.
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Soonest
2026-11-12
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2027-01-07
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2027-01-28
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2027-02-18
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2027-03-11
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2027-03-18
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2027-04-22
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2027-04-29
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2027-05-20
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2027-06-10
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2027-07-01
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2027-07-22
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2027-08-12
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2027-09-23
None of these dates work for you? Let us know and we'll think along with you.
Choose your format
The content, the teacher and the certificate are the same in all three formats. What differs is the focus and the planning, and that's reflected in the price.
With your team
Most affordable per person from four participants.
- From four participants
- Built around your own cases
- On location or remote
- Subsidy often possible
In a group
The usual way: you share the teacher with a few others and follow a fixed schedule.
- Fixed start date, fixed schedule
- Small group of fellow students
- Shared teacher
Individual
For anyone who prefers to work at their own pace.
- Start whenever you want
- Your own pace and planning
- Teacher just for you
- Personal guidance
Flexible payment
Payment options
Through your employer, with a voucher or in instalments: there's usually a way that works. Not sure which fits you? We're happy to think it through with you, free and without obligation.
Option 1
Through your employer
We can invoice your employer directly, with 30 days to pay. If it helps, we'll give you a training plan to discuss internally.
Option 2
With a government contribution
A UWV training voucher or a municipal voucher can cover (part of) the cost. We're on the approved lists, CRKBO-registered, and glad to help with the application.
Training with colleagues? Your employer may be able to use the SLIM subsidy; we're happy to do the application together.
Option 3
Paying yourself
Pay the full amount at once, or spread it: 3 or 5 instalments at no extra cost, or an interest-free loan through TechMeUp. You choose when you register.
Part of these programmes
Want to go further? Take this course as one step in a complete bootcamp or diploma programme.
-
Bootcamp
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Bootcamp
Data Professional Bootcamp
Become a versatile data professional. This comprehensive bootcamp combines data science, analytics, and engineering skills in one program.
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Diploma
Applied AI & Data Science Diploma
The Netherlands' first private AI and data science diploma programme at NLQF Level 6 — the most complete path to becoming a data analyst, data scientist, or AI developer.
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