CAIP Course | PwC's Academy Middle East

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.

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.

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

Semih Kumluk

Semih Kumluk is a Digital Training Senior Manager at PwC’s Academy. He designs, develops and delivers custom-designed upskilling programmes in all digital topics including Data Analytics, Artificial Intelligence, Cyber Security, Cloud and Blockchain.

Semih is a well-versed professional with work experience spanning over 10 years in FMCG, telecommunications and consultancy. He has delivered many trainings on Data Analytics, Design Thinking, Branding, Project Management and other subjects in his areas of expertise.
Malek Al-Zewairi

Malek is our Digital Training Senior Manager at PwC’s Academy Middle East. He has over ten years of experience in information security, digital forensics, incident response and ethical hacking. During his career, he worked in several fields of information security, including security operation, auditing, training, consultation and academia.
Areas of expertise:
Intelligence and Security Informatics
Information Security
Cybersecurity
Digital Forensics
Mobile Forensics
Penetration Testing
Ethical Hacking
RFID and NFC
Telecommunications
ISO 27001 audit and Implementation
GDPR CDPO
IoT/OT

Schedule