digiLab AcademyLearn how to apply AI in the Wild
Our self-paced online courses, delivered by the team of ML engineers at digiLab, contain everything you need to deploy AI and Machine Learning on real-world problems.
Learn the most in-demand tools and libraries
We built the digiLab Academy, to enable you to do
"AI in the Wild"
At digiLab, we build next-generation AI/ML solutions to tackle today's biggest and most exciting challenges:
- Solving nuclear fusion
- Decommissioning old power-plants
- Managing airspace more efficiently
- Designing lighter aeroplanes
- Reducing the pollution in our rivers
That means working with organisations like the UK Atomic Energy Authority, Jacobs, NATS, Airbus, and South West Water .
Our clients tell us over and over about the skills gap between the candidates they interview, and the employees they want.
So we know what online ML courses really need to deliver
Build a solid foundation for the next step in your career.
Powerful and practical techniques to land a Machine Learning job.
Our curriculum teaches the skills which industry wants & needs.
Key Principles of ML to get started.
Deep Learning to tackle harder problems.
Probabilistic ML for wrangling dodgy data.
Functional GPs (Gaussian Processes).
Next-Gen UQ (Uncertainty Quantification) for safety-critical systems.
Knowledge you need to interview with confidence.
In addition to getting you up to speed with cutting edge techniques, your course also includes...
Full text documentation and custom notebooks so you can code alongside your course leads.
A digiLab Academy Certificate of Completion to add to LinkedIn.
A bonus "Machine Learning Careers in Sustainability" guide.
Recruitment opportunities from our industry partners, straight to your inbox.
🤖 Use AI to help you learn!
All digiLab Academy subscribers have access to an embedded AI tutor! This is great for...
- Helping to clarify concepts and ideas that you don't fully understand after completing a lesson.
- Explaining the code and algorithms covered during a lesson in more detail.
- Generating additional examples of whatever is covered in a lesson.
- Getting immediate feedback and support around the clock...when your course tutor is asleep!
A cutting-edge curriculum delivered by expert educators.
Whether you are a complete beginner or arrive with some knowledge, We'll cover everything you need to know to do "AI in the Wild".
So whenever you're confronted with real-world messy or sparse data, you'll have the knowledge and skills to tackle it.
Key Principles of ML
Machine Learning 101
Supervised vs Unsupervised
Regression vs Classification
Generalised Linear Models
Intro to Statistics
Predictive Power Scores
Handling Missing Data
Handling Noisy Data
Deep Learning 101
KNN and K-Means
Kernel Trick and SVMs
Uncertainty in Forests
Neural Net Architectures
Loss in Neural Nets
RNNs and CNNs
Uncertainty in Neural Nets
PCA and Autoencoders
Intro to Bayes
Priors and Posteriors
Basis Functions / Kernels
Likelihoods in GPs
These themes are developed over our growing course library.
Deep Learning 101: Getting Started with Neural Networks
Learn the fundamentals of deep neural networks, including selecting architecture and training algorithms.
I know Tim and the digiLab team well, they are leaders in the applied ML space and really understand how to work with and build solutions for industry. They asked me to access the course and give early feedback. I teach a lot of students from our business schools, and many are looking to differentiate themselves by knowing the foundations in machine learning. This course is excellent. Really high quality, lots of interactive examples and well-paced as an introductory course on your way to becoming an AI practitioner. A no-brainer for the self-motivated learner.