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5-Day Instructor-Led Programme
Build a production-minded ML baseline: data preparation, feature engineering, model training, evaluation, and overfitting control. Ship a usable first version with reproducible experiments, clear metrics, and deployment-ready artefacts.
Duration
5 Days
Price
$2,999
(was $2,999)
Pricing applies to the current cohort only. Book now to secure this rate.
AI Engineer (X-AIE) is a hands-on programme designed to take learners from “I can build a model” to “I can ship a usable baseline that a business can trust”. You will learn the engineering discipline behind machine learning: data quality, features, training workflow, evaluation, and decisions that hold up in real environments.
This mentor-led programme is built around practical scenarios that mirror workplace delivery, including noisy datasets, ambiguous requirements, and performance trade-offs. You will learn how to control overfitting, measure model performance properly, avoid leakage, and explain results clearly to stakeholders.
By the end of the programme, you will be able to deliver a baseline ML solution with a clean pipeline, reproducible experiments, and a clear plan for iteration. This is the foundation required for modern AI work across product teams, analytics functions, and applied ML roles.
Practical labs building an end-to-end ML baseline pipeline from data to deployment-ready outputs.
Mentor-led walkthroughs, live model reviews, and engineering clinics focused on real delivery standards.
Production-minded ML workflow skills aligned to AI Engineer and applied ML roles.
Design an end-to-end ML baseline workflow from problem framing to deployment-ready outputs.
Analyse datasets for quality issues, leakage risks, and split strategies that reflect real usage.
Implement feature engineering and training pipelines that are reproducible and maintainable.
Evaluate model performance using appropriate metrics, thresholds, and error analysis methods.
Communicate results and trade-offs clearly using evidence, not assumptions.
Lead a baseline release plan including monitoring signals and iteration priorities.
Recommended: basic Python familiarity and comfort with data concepts (tables, columns, basic statistics). This programme suits aspiring AI Engineers, Data Analysts moving into ML, Junior Data Scientists, and software professionals transitioning into applied machine learning.
Step-by-step learning journey from basics to professional practice
Master these in-demand skills through hands-on practice
A clear view of the roles this programme supports, what typically comes next, and where learners progress over time
Designed for learners moving from modelling to shipping reliable ML features
Choose the learning format that works best for you and your team
Instructor-Led Training
Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
Price per person
Group enrolments and early planning options available.
Custom quotes for teams and organisations
We come to you. Training delivered at your workplace for teams of 6 or more.
Custom pricing based on:
No obligation. Response within 1 business day.
Classroom training at a professional venue. Ideal for focused, immersive learning.
Custom pricing based on:
No obligation. Response within 1 business day.
Combine online and in-person learning for maximum flexibility and impact.
Timeline tailored to learner availability
Custom pricing based on:
No obligation. Response within 1 business day.
All prices are exclusive of VAT where applicable. Group enrolments and custom packages available on request.
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."
Everything you need to know about the certification exams
This is an Xcademia role-based programme focused on applied capability. Learners receive a Certificate of Achievement upon successful completion of the capstone and participation requirements.
Everything you need to know about this course
No. This programme is role-focused and designed around real AI engineering delivery standards rather than a single vendor exam.
Take the next step in your professional development