Master the strategies and skills to implement AI and ML solutions that solve real business problems.

Course Overview

This hands-on programme equips data practitioners with vendor-neutral, cross-industry AI and machine learning knowledge. You’ll learn to select, train and deploy models for regression, classification and clustering, then tackle advanced algorithms in both ML and deep learning. 

By course end you’ll be ready to sit the industry-recognised CAIP™ exam, accredited by ANAB under ISO 17024.

What you’ll learn

• Business problem mapping: identify which AI/ML techniques (regression, classification, clustering) fit specific challenges

• Data workflow: perform data analysis, feature engineering and model training

• Automation best practice: integrate ML tasks into automated pipelines

• Algorithm mastery: build, evaluate and tune multiple models across both machine learning and deep learning frameworks

• Deployment fundamentals: plan, manage and hand off ML solutions as part of production software

Who should take this CAIP Training Course & Certification?

• Data practitioners and aspiring ML Engineers

• AI/ML project leads, data scientists and applied scientists

• Anyone aiming to demonstrate technical proficiency with an employer-recognised CertNexus credential

Career pathways

Machine Learning Engineer · Data Scientist · Applied Scientist · AI Developer · Research Scientist · Business Intelligence Analyst · Robotics Scientist · …and more.

Why get CAIP™ Certified?

• Prove your skills: validate foundational AI/ML concepts, algorithms and applications

• Stand out: differentiate yourself in a fast-growing job market

• Lead confidently: ensure your team has vetted expertise in AI tasks

Prerequisites

A solid understanding of mathematics (algebra, statistics) and basic programming skills will help you maximise hands-on practice and model development exercises.