CAIP
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.
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.
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.
Course structure
Schedule
Programme details to be announced soon; watch this space.
I wanted to understand how Machine Learning and AI can help us develop robust statistical solutions to make better predictions and projections for the future.
Ruchi Batra - Manager in the Financial Services practice of PwC Middle EastI have been looking for a comprehensive approach to learn, gain practical experience and leverage our tech solutions with AI.
Chadi Omeira - Technology Senior Associate at PwC Middle East
FAQs
Connect with our team
Amanda Pearl
Senior Training ConsultantUAEKeshini Kooragamage
Senior Training ConsultantUAEAnnie Jose
Related courses
Python
AIBiz
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.
