Course Overview
Machine Learning with Python is a practical programme for learners who want to build usable ML skills, not just follow notebooks. You will learn how ML work is delivered in real teams: framing the problem, preparing data properly, creating a baseline, and improving results through structured iteration.
Delivered in a mentor-led format, the course uses practical scenarios such as churn prediction, risk scoring, demand forecasting, and customer segmentation. You will practise feature engineering habits, avoid common pitfalls like leakage, select meaningful metrics, and build models that can be explained and trusted.
By the end of the programme, you will be able to deliver an end-to-end ML workflow in Python, communicate results clearly, and produce handover-ready artefacts that support deployment or further engineering. This course is ideal for learners building confidence before moving into professional AI engineering or data science pathways.
Hands-On Learning
Build end-to-end ML workflows in Python using realistic datasets and troubleshooting drills.
Mentor-Led Sessions
Mentor-led walkthroughs, model review clinics, and feedback on workflow quality and decisions.
Career-Ready Skills
Practical ML capability for analytics teams and junior applied ML roles.
Learning Outcomes
Design ML solutions aligned to objectives.
Analyse datasets for quality and leakage.
Implement feature engineering and pipelines.
Evaluate models using meaningful metrics.
Communicate results with clear evidence.
Lead baseline delivery with iteration planning.
Prerequisites
Basic Python familiarity (notebooks, functions).
Comfort working with spreadsheets or CSVs.
Helpful: basic statistics understanding.
Detailed Syllabus
Step-by-step learning journey from basics to professional practice
Topics Covered
- Environment setup and workflow expectations
- Dataset handling and safe working practices
- How to structure labs and capstone work
Skills You'll Gain
Master these in-demand skills through hands-on practice
Career Progression
A clear view of the roles this programme supports, what typically comes next, and where learners progress over time
Deliver a baseline model with clear metrics, error analysis, and an iteration plan.
Ways to Learn
Choose the learning format that works best for you and your team
Live Online
Instructor-Led Training
Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- Live instructor interaction (real-time)
- Trainer-led walkthroughs and real examples
- Guided resources and session notes provided
- Structured Q&A and practical discussion
Price per person
Group enrolments and early planning options available.
All prices are exclusive of VAT where applicable. Group enrolments and custom packages available on request.
Prefer a Faster, Personalised Route into IT?
Not everyone learns best in a group. If you want focused guidance, faster clarity, and confidence you can use on the job, our 1-to-1 Fast-Track Training gives you private, mentor-led support tailored to your experience and goals.
"Many learners choose 1-to-1 when they want understanding, not memorisation."
Exam & Certification Information
Everything you need to know about the certification exams
Important Information
This is an industry-aligned skills programme. There is no external exam. Learners receive an Xcademia Certificate of Completion upon meeting participation and completion requirements.
Credential
Certificate of Completion
On successful completion of Machine Learning with Python (Aligned to Industry ML Foundations), learners receive an Xcademia Certificate of Completion. This standalone certificate is issued directly by Xcademia and is aligned with globally recognised frameworks and best practices.
Frequently Asked Questions
Everything you need to know about this course
No. This programme is aligned to industry ML foundations rather than a specific vendor exam.
Ready to Start Your Learning Journey?
Take the next step in your professional development