Interested in joining our next course?

Enrol for

September 2024

One data apprentice can create real business impact

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£1.4m revenue

identified through data-driven insights

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£120,000 saved

by creating efficiencies

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90% shorter project times

achieved through automations

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5x faster ML model training

achieved through automations

Build capability to create and maintain key data infrastructure

Want to train new talent and reskill existing employees with one of the most in-demand technical skillsets? Develop key internal capabilities to raise the usability of critical datasets in your organisation. Cambridge Spark's Level 5 Data Engineer Apprenticeship equips learners with core technical and leadership skills.

In turn, learners are able to support business functions in creating and maintaining data analytics pipelines. They build the skillset to access data in their organisation and gain an understanding of the data engineering lifecycle, data modelling and more to help organisations maximise the value of their data.

Leaners will also have the opportunity to join guest talks on technical updates from leading technology providers like Google Cloud Platform and Databricks.

Propel your organisation forward with advanced machine learning

Machine learning is at the core of AI today — which makes understanding and being able to build machine learning models a key skill for data practitioners to add to their toolkit. Tailored for teams ranging from junior data scientists to seasoned developers and researchers, this programme is the key to mastering sophisticated data manipulation and machine learning techniques with Python.

This course equips your team with that skillset by providing the foundations, introducing core machine learning concepts and by exploring various algorithms that range in complexity that they can leverage as machine learning practitioners. They'll gain hands-on experience with both discriminative and generative models, decision trees, logistic regression, neural networks, and ensemble techniques.

This practical focus ensures that your team can immediately apply their new skills to address real-world challenges, boosting their ability to identify trends, make data-driven decisions, and drive your organisation forward.

Hear from Jonathan Wagstaff, Group Head of Business Intelligence at Exertis

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Hear from Jonathan Wagstaff, Group Head of Business Intelligence at Exertis

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Jonathan Wagstaff
Data apprenticeships enable myself and my team to keep up-to-date with the latest.


This course is designed for

Professionals who already have some familiarity with the world of data analysis, and who aspire to dive into, and build a career in, AI and machine learning. 

Prerequisites for this course

  • A basic understanding of Python syntax and data structures
  • Some exposure to data cleaning and processing libraries in Python, such as Pandas and Numpy
  • Familiarity with data visualisation in Python, particularly Matplotlib

What makes our programme special

Our courses are delivered entirely online through EDUKATE.AI, our cloud-based learning platform. This format ensures your team can enhance their skills without disrupting their daily responsibilities. EDUKATE.AI offers a dynamic sandbox environment for practical skill application, complete with immediate feedback on assignments that mirror real industry challenges. We prioritise a holistic learning experience, combining hands-on practice, expert guidance, and community support to set the standard for online professional development.

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Real-World Practice for Accelerated Impact

EDUKATE.AI provides a sandbox environment where participants can practice new skills on real assignments. This accelerates the impact they can make in your team, allowing them to immediately apply what they've learned.
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Our online learning platform gives participants a seamless learning experience with in-browser access to course slides, workshop recordings, quizzes and practical assignments. Immediate feedback helps them gauge their progress effectively.
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Expert Curriculum

Our curriculum develops the skills to thrive in a data-driven team. Participants will learn the latest concepts and tools essential to generating valuable forecasting from your data.
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Flexible Fully Online Learning

Our programme is fully online, giving maximum flexibility for participants and their employers alike. Participants can access their content from anywhere, with no set up or installation of EDUKATE.AI required.
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Joining our programme means becoming part of a thriving community of thousands of data professionals. Participants are given the opportunity to tap into this rich network of peers and alumni and benefit from the expertise and experience of others in the field.

A real-world learning experience is our learning experience platform which delivers a seamless experience in one place, and accelerates learning and impact through real practice on real projects with immediate personalised feedback on code.
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The Curriculum

Our curriculum is developed by our leading faculty, composed of data scientists in leading industry positions and academics from some of the top universities in the world.

We take a modular approach to how we offer our curriculum. This course includes all of the below modules with each module being a mix of e-learning content, such as Jupyter notebooks and instructional videos, as well as live workshops.

We continuously update the modules and reiterate to incorporate the latest, in-demand skills for competitive industry.

Core Modules

Participants embark on their machine learning journey with a comprehensive introduction to the essential concepts and tools. They explore and learn to apply key concepts such as linear regression, feature engineering and dimensionality reduction, setting a solid foundation in machine learning.

Topics covered include:

  • Data preprocessing for machine learning models
  • Linear Regression
  • Gradient descent
  • Feature Engineering
  • Dimensionality reduction

Number of workshops: 4

Number of assignments: 2

Participants advance their machine learning skills by delving into one of the major types of machine learning used in industry today: supervised learning. In this module, your team will explore an array of supervised learning models that they can use, learn how to evaluate their models, and then refine them to boost performance.

Topics covered include:

  • Various machine learning algorithms including: Logistic regression, K-Nearest Neighbours, Naive Bayes and Decision trees
  • Binary and Multiclass classification
  • Model evaluation for classification and regression algorithms

Number of workshops: 4

Number of assignments: 5

Propel your team's machine learning expertise to new heights with an exploration of neural networks and ensemble techniques. This module is crafted to give participants an introduction to these two major advanced concepts in machine learning, preparing them for the challenges of implementing more complex models in future.

Topics covered include:

  • Bias and variance
  • Ensemble methods: Bagging, Boosting, Stacking
  • Fundamentals of Neural Networks
  • Training Neural Networks, including concepts such as: Loss functions, Gradient Descent, and Hyper-Parameter Optimisation
  • Machine learning algorithms include: Random Forests, AdaBoost, Gradient Boosting

Number of workshops: 2

Number of assignments: 2

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What support will my team have access to throughout the course?

Apart from instructor guidance within the workshops themselves, participants benefit from peer interaction and support within the online learning platform EDUKATE.AI. They can also benefit from a one-on-one call with a trainer/mentor to guide the next steps of their upskilling journey after completing the course.

How will participants learn?

We take a blended approach to delivering our curriculum, which means participants learn through a combination of live, instructor-led interactive workshops, and self-led practical assignments where they get to put the concepts that they learned to practice.

Is this course eligible for public funding?

No, this course is instead funded directly by the learners themselves or their employers.

In funding the course directly, your team benefits from a curriculum designed with specific learning outcomes achieved over a shorter learning period and without the restrictions attached to some publicly funded options.

Please consider our longer Apprenticeships or Skills Bootcamps if you're interested in government-funded programmes.

How long does the course take to complete?

The course includes 35 hours of live workshops spread over 10 sessions, with one session per week for 10 weeks.

What if participants are unable to attend one or more live sessions?

Participants are free to attend the live sessions at will. Recordings will be available on the learning platform EDUKATE to access throughout the course. But we highly recommend attending all live sessions to get the most out of the course.

Are there technology requirements for participation in this course?

Participants will need a web browser on their computer to access our learning platform, EDUKATE.AI, which hosts all our content. They will not need to install any software on their computer.
FAQ section (1)

Find the Best Solution for Your Challenges

Unsure if our courses are right for your teams? Simply let us know what you need - our Data & AI specialists will get in touch with free advice to help you meet your organisational goals.

We look forward to speaking with you.