Interested in joining our next course?

Enrol for

April 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.

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.

Transform your data into insights 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 to add to your toolkit as a data practitioner. Whether you're a junior data scientist, an experienced developer new to data science, or a researcher aiming to apply machine learning in your work, this programme is your gateway to mastering advanced data manipulation and machine learning techniques using Python.

This course equips you with that skillset by providing the foundations, introducing core machine learning concepts, and by exploring various algorithms that range in complexity that you can leverage as a machine learning practitioner. You'll deepen your understanding of Python for data science, learn advanced data manipulation, and start working with sophisticated machine learning models.

You'll also explore the latest in neural networks and ensemble techniques. This hands-on approach ensures you can apply your learning directly to real-world problems, enhancing your ability to forecast trends, make informed decisions, and contribute to your organisation's success.

Suitability

This course is designed for

  • Junior data scientists or data analysts with basic Python knowledge testing, git, CI/CD and DevOps mindset
  • Experienced developers transitioning into data science
  • Researchers or academics looking to apply machine learning in their projects
  • 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
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What makes our programme special

We deliver all of our programmes online, giving you flexibility to learn while keeping up with your regular workload. EDUKATE.AI, our online learning platform, gives you a sandbox environment to practice your skills, providing immediate feedback on industry-simulated assignments. We believe that the gold standard for online delivery is to offer a mix of experiential learning, technical mentorship and peer support.

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Real-World Practice for Accelerated Impact

EDUKATE.AI provides a sandbox environment where you can practice new skills on real assignments. This accelerates the impact you can make in your workplace, allowing you to immediately apply what you've learned.
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EDUKATE.AI

Our online learning platform gives you a seamless learning experience with in-browser access to course slides, workshop recordings, quizzes and practical assignments. Immediate feedback helps you gauge your progress effectively.
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Expert Curriculum

Our curriculum develops the skills to thrive in a data-driven profession. You'll 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, providing maximum flexibility for you and your employer alike. This means that you can access your content from anywhere, with no set up or installation of EDUKATE.AI required.
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Community

Joining our programme means becoming part of a thriving community of thousands of data professionals. You have the opportunity to tap into this rich network of peers and alumni and benefit from the expertise and experience of others in the field.
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A real-world learning experience

EDUKATE.ai 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 skills.

Core Modules

Embark on your machine learning journey with a comprehensive introduction to the essential concepts and tools. 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

Advance your machine learning skills by diving into one of the major types of machine learning used in industry today: supervised learning. In this module you will explore an array of supervised learning models that you can use, learn how to evaluate your 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 machine learning expertise to new heights with an exploration of neural networks and ensemble techniques. This module is crafted to give you an introduction to these two major advanced concepts in machine learning, preparing you for the challenges of implementing more complex models in the 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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Book the cohort that suits you

Upcoming Cohort Dates Duration Schedule Booking
Start: 14th May 2024
End: 16th July 2024
10 half-day workshops over 10 weeks
Tuesdays
9:30am - 1:00pm
Start: 17th September 2024
End: 26th November 2024
10 half-day workshops over 10 weeks
Tuesdays
2:00pm - 5:30pm
 
 
 

FAQs

What support will I have access to throughout the course?

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

How will I learn?

We take a blended approach to delivering our curriculum, which means you'll learn through a combination of live, instructor-led interactive workshops, and self-led practical assignments where you get to put the concepts that you 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, you benefit 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 I can't attend one or more live sessions?

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

What technology or equipment will I need to participate in this course?

You will need a computer with internet access through a web browser to access our learning platform, EDUKATE.AI, which hosts all our content. You will not need to install any software on your computer.
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Enquire now

Fill out the following form and we’ll contact you within one business day to discuss and answer any questions you have about the programme. We look forward to speaking with you.