Preparing for the jobs of the future

The digital workplace is no longer an option – it is today’s reality. Artificial intelligence (AI) and machine learning (ML) tools are transforming organisations and the workforce, with 30% of jobs expected to be automated by the mid-2030s.*

The Certified Artificial Intelligence Practitioner (CAIP) programme by CertNexus helps you develop the skills needed to implement AI techniques and solve important business issues. You can be part of creating exciting, new, and innovative products and services.

Our award-winning facilitators will show you hands-on how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users.

Award-winning Academy
100% pass rates
Face-to-face or virtual training options

Why become an AI practitioner?

As an AI practitioner you can design, implement, and hand off an AI solution or environment. Learn how to:

  • Specify a general approach to solve a given business problem that uses applied AI and ML.
  • Collect and refine a dataset to prepare it for training and testing.
  • Train and tune a machine learning model.
  • Finalize a machine learning model and present the results to the appropriate audience.
  • Build linear regression models.
  • Build classification models.
  • Build clustering models.
  • Build decision trees and random forests.
  • Build support-vector machines (SVMs).
  • Build artificial neural networks (ANNs).
  • Promote data privacy and ethical practices within AI and ML projects.
CAIP - Who is it for

Who is it for?

This is the right choice for you if you are a practitioner looking to demonstrate a vendor-neutral, cross-industry skill set within AI and with a focus on Machine Learning.

To get full value of the programme, you should have several years of experience with computing technology, either as a programmer or as a data analyst, and an aptitude for computer programming. A high-level understanding of fundamental AI concepts, including, but not limited to: machine learning, supervised learning, unsupervised learning, artificial neural networks, computer vision, and natural language processing is really useful.

More about the Qualification

The CAIP qualification is accredited by CertNexus, a global certification body of vendor-neutral, emerging technology certifications and micro-credentials for Business, Data, Development, IT, and Security professionals.You can learn more about the qualification here.

CertNexus partners with leading companies to produce, market, distribute, and service CertNexus emerging technology training and certification solutions globally. Learn more here.

CAIP - About

Course structure

Lesson 1:
Solving Business Problems Using AI and ML
Lesson 2:
Collecting and Refining the Dataset
Lesson 3:
Setting Up and Training a Model
Lesson 4:
Finalizing a Model
Lesson 5:
Building Linear Regression Models
Lesson 6:
Building Classification Models
Lesson 7:
Building Clustering Models
Lesson 8:
Building Advanced Models
Lesson 9:
Building Support-Vector Machines
Lesson 10:
Building Artificial Neural Networks
Lesson 11:
Promoting Data Privacy and Ethical Practices


Programme details to be announced soon; watch this space.


  • What background do I need to have to take this course?

    We recommend that you start with the Python Bootcamp course to get ready for CAIP.

Enquire now

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