Course overview.
Across the five days, learners will explore the core principles of machine learning, including supervised and unsupervised learning, model training, evaluation and optimisation. The course also introduces key tools and frameworks used in modern AI development, showing how data is prepared, models are built and predictions are generated. Participants will work with real datasets to develop an understanding of how AI systems learn from data and how performance is measured and improved.
The programme also covers practical applications of AI, including classification, regression and basic neural network concepts. By the end of the course, participants will have built and tested simple machine learning models and gained a clear understanding of how AI solutions are developed and deployed in real-world environments.
Who it's for.
This course is designed for developers, technical professionals and aspiring machine learning engineers who want to build practical skills in artificial intelligence. It is suitable for those with some programming experience who are looking to progress into AI and data-driven development roles. It is also ideal for software developers, data analysts and graduates in technical fields who want to expand their skill-set into machine learning. While prior experience in Python or programming is helpful, the course is structured to support learners who are new to AI but have a strong interest in applied development and problem-solving using data.
What you'll learn.
Module 1: AI Foundations and Data Preparation
This module introduces the core concepts of artificial intelligence and machine learning, including key terminology, types of learning and how AI systems are used in modern applications. Participants will gain an understanding of how machines learn from data and the role of algorithms in generating predictions. The module also covers data preparation and feature engineering, focusing on how raw data is cleaned, structured and transformed into a format suitable for model training. By the end of this module, learners will have a solid foundation in AI principles and the importance of data quality in machine learning workflows.
Module 2: Supervised Learning and Model Development
This module focuses on supervised learning techniques, including classification and regression models. Participants will learn how to train machine learning models using labelled datasets and understand how predictions are generated from input data. The module also introduces model evaluation methods, including accuracy, precision and error analysis, helping learners assess performance and improve results. Practical exercises will guide participants through building and testing basic machine learning models, developing confidence in applying AI techniques to real datasets.
Module 3: Unsupervised Learning and AI Project Development
This final module explores unsupervised learning techniques such as clustering and pattern recognition, showing how AI can identify structure in unlabelled data. Participants will also learn how to optimise and refine models to improve performance and reliability. The module concludes with a practical AI project where learners apply all skills gained throughout the course to build, test and evaluate a complete machine learning solution. This provides real-world experience of the end-to-end AI development lifecycle from data preparation through to model deployment and insight generation.
Book your place.
Fill in the form and we'll confirm your booking the same working day. Invoice on request — we accept PO numbers from public bodies and corporate accounts.
Reserve your seat.
Book the Minitab Training course. We'll confirm your seat by email the same working day. PO numbers and invoicing accepted.
Got it — your booking enquiry is in.
We'll confirm your seat by email within the same working day. You should also see a copy of your enquiry in your inbox. Need anything urgent? Email hello@ascenttrainingwales.co.uk or use the live chat.
This course is fully fundable through ReACT+.
If you've been made redundant or are facing redundancy in Wales, the Welsh Government's ReACT+ scheme can fund up to £1,500 toward this course — plus childcare, travel and accommodation expenses. We'll handle the application.
Benefits of Attending This Course
Develop the practical skills to design, build and deploy AI and machine learning solutions, work confidently with modern development tools and create intelligent applications that deliver real business value.
Ascent Training Wales · Bridgend.
Our conference room is purpose-built for effective training — bright, modern, and fully equipped for workshops, seminars and accredited sessions.
Llynfi Enterprise CentreHeol Ty Gwyn Industrial Estate
Maesteg, Bridgend, CF34 0BQ
Build Intelligent AI Solutions
Learn Modern AI Techniques
Gain practical experience with machine learning algorithms, neural networks and AI development workflows.
Create Real-World Applications
Develop and deploy AI-powered solutions that automate tasks, analyse data and solve business challenges.
Advance Your Career
Build in-demand skills that prepare you for careers in AI, machine learning and intelligent software development.
Common questions.
Quick answers to what most people ask before booking. Still need help? Get in touch.
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Is this course eligible for ReACT+ funding?
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From the classroom.
Our Bridgend venue is purpose-built for working learning — bright, modern, configurable for cohorts of four to twelve, with quality AV throughout and free parking right outside.
Llynfi Enterprise Centre · Bridgend · More about our venue →
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Ready when you are.
Book AI & Machine Learning Developer for £1500 a seat, or send us a brief and we'll come back with a tailored in-house quote for your team within two working days.