Fill Your Data & AI Skills Gap
Invest in building specialist skills with short, flexible courses.
- Virtual sessions delivered by Data & AI experts
- Quickly master new skills through impact-based learning
The Key to Unlocking the Power of Your Data is Your People
Competitive performance in the AI era means investing in the teams that will harness rapidly advancing technology. Cambridge Spark is changing the face of professional development to bring Data & AI education to all.
Equip your team members with the skills they need most. Learners attend half-day workshops, and create their own self-directed schedule of reading and practice, to learn in the flow of work. The better they learn, the better their impact on projects and deliverables.
Our programmes continually evolve to keep pace with the rapidly changing tech landscape, welcoming learners into a dynamic community to work on real-life problems together.
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Real-Life Practice on Real World Projects
Our unique learning system EDUKATE.AI accelerates learning and impact for 5,000+ learners through:
- Industry Simulation - Your team practice on production-ready Data Science code to solve the problems they encounter every day
- Instant Assessment - Real-time, accurate feedback to strengthen and improve coding capabilities
- Testing Sandbox - Experimentation without impact before updating real work projects
- Cloud Environment - Easy access to learning materials from work and home environments, optimising learning time.
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"My team saw the value of data science with Cambridge Spark. Being part of a global organisation such as Visa, teams in other regions would see the benefits of the projects and begin to reach out with enquiries."
Imran Ayad, Data Analyst at Visa
Baylor Brangers
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Data AI Coach
After a career in physics and astrophysics, Baylor made the switch to neuroscience, earning a PhD in Systems and Computational Neuroscience at the Champalimaud Center for the Unknown. Baylor previously held roles as a research scientist at Columbia University and Cold Spring Harbor Laboratory. In addition to academia, Baylor has worked as a programmer for Jane Street Capital and as an electrical engineer for Teledyne-Lecroy.
Currently a teaching fellow at Cambridge Spark, Baylor instructs in Machine Learning, Data Science and Python, leveraging his diverse background to guide students across industries toward becoming proficient data scientists. Passionate about teaching, he is dedicated to helping individuals achieve their data science goals, whether it involves programming in Python or mastering cutting-edge neural networks.
Courtney David
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IT Teacher and Data Analyst Expert
As a data scientist with a unique blend of technical and analytical skills, Courtney leverages her expertise in Python, SQL, Machine Learning and Data Visualization to uncover insights and drive decision-making. Courtney harnesses her proficiency for Data Storytelling and a deep understanding of product dynamics to equip learners to handle complex data challenges.
Her experience as a computer science and IT teacher for eight years enhanced Courtney’s ability to communicate intricate concepts to diverse groups across skills and knowledge levels. Courtney is passionate about using data to create human-centric solutions & drive societal change.
Darshana Edirisinghe
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Data AI Training Specialist
Darshana achieved no fewer than 12 computer science diplomas and qualifications himself before training the next generation of the UK's IT workforce. Particularly passionate about Big Data and IT Security technologies, Darshana is continually upgrading his own skills across Data Scientist Advanced Analytics, Network Security and Certified Ethical Hacking.
With several years of experience in IT Education and Management, Darshana balances excellent interpersonal and communication skills with enthusiasm, energy and drive to introduce new ideas and develop new strategies.