"This course made machine learning finally click for me. Working with Scikit-Learn and real datasets helped me understand how ML is actually used in industry. The practical focus and clear explanations gave me the confidence to start building my own models straight away."
This Applied Machine Learning course focuses on building practical, real-world machine learning systems using Python and Scikit-Learn. Learners move beyond theory to develop, evaluate, and optimise machine learning models used across industry. The course emphasises hands-on projects, real datasets, and best practices for professional ML development.
Module 1: Machine Learning Foundations
This module introduces the core concepts behind machine learning, including supervised and unsupervised learning, model types, and common use cases. Learners gain a clear understanding of how machine learning systems work and how to approach real-world ML problems effectively.
Module 2: Building Models with Scikit-Learn
Learners gain hands-on experience building machine learning models using Scikit-Learn. Topics include regression, classification, clustering, feature engineering, and model selection, with a strong focus on practical implementation and clean ML workflows.
Module 3: Model Evaluation & Optimisation
This module focuses on evaluating and improving model performance. Learners explore metrics, cross-validation, hyperparameter tuning, and techniques to reduce overfitting, ensuring models are reliable, accurate, and production-ready.
This course is ideal for aspiring machine learning engineers, AI developers, data analysts, and software engineers who want to apply machine learning in real-world projects. It is also suitable for professionals progressing from Python into applied AI and ML roles.
We guide organisations in adopting AI to automate tasks, streamline processes, and free up valuable time so your team can focus on what really matters.
Our hands-on training helps staff build confidence in using AI tools, from automation to data analysis, improving both efficiency and decision-making.
We design and support AI systems tailored to your organisation, ensuring smooth integration with existing workflows and long-term efficiency gains.
Attending this course equips learners with the skills needed to confidently build and deploy machine learning models. The applied, hands-on approach ensures learners understand not just how models work, but how to use them effectively in professional AI development environments.
Our inhouse programmes are easy to arrange and can be tailored to meet more specific learning needs. Training can be run from your own premises, or we will help you select a suitable venue offsite. Our existing IT courses can be customised to meet your organisation requirements. With all our courses there are no hidden cost, the price you see is the price you pay.
With Infinity AI's inhouse training, your team can gain the essential IT skills they need without the inconvenience of off-site sessions. Our expert-led courses are designed to fit your business, maximising participation and providing customised solutions that boost productivity and performance. Let us bring the training to you, ensuring your entire team is equipped for success.
Inhouse Training
Infinity AI Learning delivers practical, industry-aligned AI training designed to prepare learners for real-world roles. Our courses are led by experienced practitioners and focus on hands-on learning, real datasets, and skills aligned with high-growth sectors including AI, defence, and space.
