Certified Artificial Intelligence (AI) Practitioner

  • Course Length: 5 Days
  • Accredited By: CertNexus
  • Credentials: Accredited Certification
  • Attendance: On-Site
  • Participants: 25
  • Price: 3500 AED
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In Association With



Global Accreditations

All attendees will be awarded a certificate after successful completion of the training and exam. This certificate is accredited by several local and international organisations including:

 

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Timings



17th Oct: 1 PM – 5 PM
18th Oct: 10 AM – 5 PM
19th Oct: 10 AM – 5 PM
20th Oct: 10 AM – 5 PM
21st Oct: 10 AM – 5 PM


Overview

The skills covered in this course converge on three areas—software development, applied math and statistics, and business analysis.

Target students for this course may be strong in one or two or these of these areas and looking to round out their skills in the other areas so they can apply artificial intelligence (AI) systems, particularly machine learning models, to business problems. So the target student may be a programmer looking to develop additional skills to apply machine learning algorithms to business problems, or a data analyst who already has strong skills in applying math and statistics to business problems, but is looking to develop technology skills related to machine learning.

A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. This course is also designed to assist students in preparing for the CertNexus® Certified Artificial Intelligence (AI) Practitioner (Exam AIP-110) certification.

Course Objectives

• 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

About The Trainer

  • Bio: Semih Kumluk is the Digital Training Manager at PwC’s Academy Middle East. He is a well-versed professional with work experience spanning 10 years in FMCG, Telecommunications and Consultancy. Semih is a strong advocate of emerging technologies and digitalization, remains actively involved in discussions around the early adaptation of these technologies and aspires to inspire others to improve their knowledge. He successfully launched and delivered the 1st ever Artificial Intelligence certification programme across the Middle East and also secured the 1st runner-up position in PwC’s global AI competition
  • Experience: Prior to joining PwC’s Academy, Semih was earlier working as a Senior Corporate Segment Marketing & Pricing Manager in Turkey’s leading GSM operator Turkcell. He held additional responsibilities as designing and delivering effective and interactive trainings on various business topics in his areas of expertise whilst working as a Senior Corporate Trainer at Turkcell Academy. He also formed and managed the Data Science and Artificial Intelligence Community within the company and slashed many successful projects.

Prerequisites

To ensure your success in this course, you should have at least 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. You can obtain this level of knowledge by taking the CertNexus AIBIZ™ (Exam AIZ-110) course. You should also have experience working with databases and a high-level programming language such as Python, Java, or C/C++. You can obtain this level of skills and knowledge by taking the following Logical Operations or comparable course: Database Design : A Modern Approach Python® Programming: Introduction Python® Programming: Advanced