After this course, you can judge whether a business problem suits AI at all, prepare the right data and compare models in a way others can follow. You also plan how a model reaches production securely and stays reliable there, and you spot ethical risks early. At the same time, you prepare for the AIP-210 exam. The course suits you if you already work with data, statistics and Python or R and now want to take responsibility for whole ML projects.
What you’ll take away.
- Frame and prioritise business problems as suitable AI and ML tasks
- Prepare features from text, numeric, audio and video data
- Design and tune models, then evaluate them on separate data sets
- Deploy models, secure pipelines and maintain them in production
- Recognise ethical and business risks at every project stage
Your training in detail
- Who is it for?
- Data professionals and developers who apply AI and machine learning to real business questions and take models through to production.
- Prerequisites
- A grounding in statistics, practice with Python or R and knowledge of common ML methods, including ensemble techniques, are recommended.
- Format & planning
- Standard length: 5 training days. A different length can be arranged for companies.
Agenda: from understanding to application
Our independently developed agenda proposal. Focus areas, lab environment and scope are agreed before booking.
Assessing AI use cases and aligning with stakeholders
Data quality, data volume and transformations
Feature engineering for different types of data
Designing ML and deep learning models
Tuning hyperparameters and evaluating models
Deployment, pipeline security and maintenance
Risks and ethics, exam topic review
You work through one use case, from assessing its value through data preparation and model comparison to a plan for deployment and monitoring.
Exams, licences & credentials
This course prepares you for the CertNexus Certified Artificial Intelligence Practitioner (AIP-210) exam. The exam and its fees are included only if your offer confirms this. The certificate comes from CertNexus. This is not an official vendor course unless the offer says so.
Vendor references & review date
Sources checked on 2026-11-04. These sources describe the technology or external exam requirements. They do not imply a partnership with NextNowa.
Your learning content
These objectives describe the training topic. The specific syllabus, dates and trainer are agreed before booking; the written offer is binding.
Frequently asked questions
What background is useful?
You should already be able to apply statistics and Python or R. The course builds on this and does not teach programming from scratch.
Is the AIP-210 exam included?
Only if your offer confirms it. The certificate comes from CertNexus.
Does CertNexus CAIP (AIP-210): AI Models for Business Problems include a certificate?
This course prepares you for the CertNexus Certified Artificial Intelligence Practitioner (AIP-210) exam. The exam and its fees are included only if your offer confirms this. The certificate comes from CertNexus. This is not an official vendor course unless the offer says so.