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.

This exam will certify that the candidate has the knowledge and skill set of AI concepts, technologies, and tools that will enable them to become capable AI practitioners in a wide variety of AI-related job functions.

The CAIP exam is accredited under the ISO/IEC 17024:2012 standard.

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 certification exam is designed for practitioners who are seeking to demonstrate a vendor neutral, cross-industry skill set within AI and with a focus on ML that will enable them to design, implement, and hand off an AI solution or environment.

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: Preparing Data
Lesson 3: Training, Evaluating, and Tuning a Machine Learning Model
Lesson 4: Building Linear Regression Models
Lesson 5: Building Forecasting Models
Lesson 6: Building Classification Models Using Logistic Regression and k-Nearest Neighbor
Lesson 7: Building Clustering Models
Lesson 8: Building Decision Trees and Random Forests
Lesson 9: Building Support-Vector Machines
Lesson 10: Building Artificial Neural Networks
Lesson 11: Operationalizing Machine Learning Models
Lesson 12: Maintaining Machine Learning Operations

Meet our trainers


Programme details to be announced soon; watch this space.

Enquire now

Connect with our team

Join our events
Events landing
Client case studies
to be replaced?
Press releases
Press releases
Videos and podcasts
video and podcast

We are a community of solvers combining human ingenuity, experience and technology innovation to deliver sustained outcomes and build trust.

It all adds up to The New Equation.

See how The New Equation can solve for you