We pride ourselves in designing and delivering world-class, customised training to suit the business needs of the organisation - consistently staying up to date with the lastest technologies and concepts.
Tailor made training
Our training can be provided to your team remotely or on-premises if within Cambridge/London. The average during for our training is 5-10 days and can vary between two days to ongoing training support over four months depending on organisational needs.
Real-life
simulations
Practical exercises and examples for each module that focus on real-life simulations of technical applications in your industry
Machine Learning techniques
Concentration of data science techniques and machine learning algorithms that are most applicable to your needs
Practical
Assignments
Practical project assignments with subject focus on your industry
Available
Resources
Takeaway resources specific to the skill requirements of your team
Industry experts
Our trainers have in-depth, real world experience in data science and machine learning, spanning every step from collecting and analysing data to training optimising and deploying machine learning solutions across a wide range of industries.
We teach you what we can already apply to the highest standard in industry.
Our pillers of training
Modules that we most commonly teach include:
Foundational Skills
Foundational Skills
- Coding 101
- Introduction to Python
- Entry level maths
- Data science and machine learning literacy for managers and decision makers
Data Science
Data Science
- Python tools for data science
- Exploratory data analysis
- Data science tools for visualisation
- Reporting & communication
- Data handling & cleaning
- Feature engineering
- Pre-processing for machine learning
Machine Learning
Machine Learning
- Fundamental maths for machine learning
- Introduction to machine learning
- Theory of machine learning algorithms
- Application of machine learning algorithms
- Measuring and optimising model performance
- Deep learning and neural networks
- Strategic machine learning design for real-world application
Cloud computing & DevOps
Cloud computing & DevOps
- Cloud computing with AWS
- Networking and security for machine learning on AWS
- Integration, application & deployment of machine learning models for real-world use
- Machine learning automation
- DevOPs - docker, continuous integration and continuous deployment
