This program will allow participants to:

• Acquire knowledge and practical skills in the design and implementation of AI-based solutions.
• Gain an in-depth understanding of AI related concepts, including - machine learning, natural language processing (NLP), computer vision, applications of AI in the industry and government and applying machine learning algorithms to specific problems.
• Analyse scenarios and use cases for potential transition to an AI-based solution.
• Apply the learned concepts and gain hands-on skills with practical AI platforms and tools, such as Watson Studio.
• Obtain an IBM Digital Certification in Artificial Intelligence.

Upon completing this training you will be able to:

• Ensure that your business/organisation stays relevant by exploring the opportunities for AI-based solutions.
• Analyse the suitability and potential benefits of AI deployments in your organisation.
• Design, implement, and deploy Artificial Intelligence applications, using the IBM Watson services
• Secure Artificial Intelligence-based applications.
• Integrate Artificial Intelligence-based applications with existing systems.
• Become a certified Artificial Intelligence Analyst.

Artificial Intelligence Analyst: Explorer | Mastery Award

This course is ideal for senior managers, middle managers, entrepreneurs and business owners who have a keen interest in investing in and adopting the Artificial Intelligence technology. It is also aimed at those in more technical roles who would like to take on a leadership role in implementing streamlined and ecient AI-based business solutions.

The training consists of three main modules offered over 40 hours:

Dr Mohamed Watfa has more than 10 years’ experience in networking and sensor technologies. He is the co-founder of the UAE’s first Simulation and Smart System Research Centre as well as the founder and CEO of the International School of Innovation, a first of its kind school concept in Lebanon that utilises patented technologies in teaching and learning using Internet of Things. He was also the runner up in the highly acclaimed Innovation TV show, Stars of Science broadcasted by MBC group.

Dr Watfa is an active researcher and has published more than 120 publications including journal articles, conference papers and book chapters and the author of a number of books in IOT and Innovation. His current research interests include Internet of Things, intelligent systems, Vehicular Ad-hoc Networks, Project Management and Innovation. He has won several Teaching Excellence Awards for his innovative and creative contributions to the classrooms.

Dr Watfa is the Associate Dean (Research) at the Faculty and Engineering & Information Sciences at the University of Wollongong in Dubai (UOWD) and obtained his PhD from the School of Electrical and Computer Engineering at the University of Oklahoma in Norman, USA at the young age of 24.  He is a professional member of the ACM and IEEE. 

Dr May El Barachi is a next generation networking expert holding PhD and master’s degrees in Computer Science from Concordia University (Canada). She has 12 years’ experience in the field with a strong focus on smart and resource efficient systems. During those years, she acquired academic experience as associate professor and has worked as researcher with Ericsson Research Canada. She co-founded and directed a cutting-edge research lab aiming at investigating sensory, cloud, and mobile technologies. Presently, she works as Associate Professor at University of Wollongong Dubai and is involved in several research collaborations with international universities and local industrial partners.

Dr El Barachi is also an expert in emerging technologies, including: Internet of Things, Sensory Networks, Crowdsensing, Blockchain, Big Data Analytics, Network Function Virtualization, Enhanced Cloud Computing Systems, and smart cities. She is the leader of the Sensors and IoT research group at University of Wollongong in Dubai.

Dr Al Khatib is an Assistant Professor at the University of Wollongong in Dubai (UOWD) and has a keen interest in Telecommunication Engineering. He obtained his PhD from the University of Sydney, Australia specialising in “Modelling and Performance analysis of wireless communication systems for smart grid communications”.

Dr Al Khatib is very passionate about teaching and feels that mentorship and interaction with students in the course of teaching are some of the aspects that make an academic position so rewarding.  His teaching philosophy is concerned with fostering: (1) students’ inquisitiveness and passion for learning, (2) life-long learning, (3) association with the real world, (4) organised study, (5) confidence building, and (6) student and lecturer accountability.

For more information please email us on [email protected]