International AI Driving License (IAIDL) Basic Certification
"Artificial Intelligence for Future Management Tools"
Introduction
Most institutions have begun to apply artificial intelligence processes within their institutions, and this will lead to an increase in the demand for specialists in this field. Graduates of all disciplines must be educated in the concepts of artificial intelligence in order to integrate within their institutions and to increase their productivity in these institutions. Applications of artificial intelligence will enter our daily life in a large way, and accordingly, we must all arm ourselves with educating ourselves with its sciences and concepts, regardless of the student’s specialization in his undergraduate level, as is the case now, with the necessity of studying computer skills as a compulsory requirement for most university majors, because the graduate will not work without mastering the skills of working on the computer And also in the near future the concepts and applications of artificial intelligence.
Dr. Rami Shaheen
Instructor
About IAIDL
IAIDL is considered as the first AI and FMT competency-based certification worldwide that is aligned with AI associates standards and global AI Index. IAIDL is dedicated to raising Artificial Intelligence competence standards in the workforce, education and society. Their certification programs enable individuals and organizations to assess, build and certify their competence in the use of Artificial intelligence and Future Management Tools components, and 4th revolution tools to Globally recognized standards.
IAIDL basic Intensive and Comprehensive competency-based Training Program for anyone who wishes to become fully competent in the use of an AI and FMT without previous knowledge in programming through using different effective user-friendly tools. Basic level certification is aimed to help Leaders, Job Seekers, and Employees from all sectors make sense of the rapidly changing tools shaping our future.
Delegates will have the opportunity to be equipped with ‘positive citizenship’ aspects through building the right mindset on understanding, decision-making, establishing and improving the AI and FMT as an ecosystem. Additionally, improve essential future competencies required for successful agile businesses all over the world.
Who should attend?
• Any manager (senior and mid-level)
• GRC Team members
• Resilience team members
• Management representatives
• IT managers
• Management systems professionals and consultants
• Those who will be involved in advising top management on the introduction of artificial intelligence and future management tools into an organization
International AI Driving License (IAIDL) Basic Certification
Artificial Intelligence for Future Management Tools
Material Modules
• Distributed electronics ledger that uses software algorithms to record and confirm transactions with reliability and anonymity.
• The record of events is shared between many parties and information once entered cannot be altered, as the downstream chains reinforces upstream transactions.
• Build your first smart contract.
• Air-or water-base devices and vehicles, for example, Unmanned Aerial Vehicle (UAV), that fly or move without an onboard human pilot.
• Drones can operate autonomously (via on-board computer) on a predefined flights plan or be controlled remotely.
• Drive and learn Drone licensing.
• Network of objects – devices, vehicles, etc. – embedded with sensors, software, network connectivity and compute capability,that can collect and exchange data over the internet.
• IOT enables devices to be connected and remotely monitored or controlled.
• Differentiate the difference between IOT and IOO.
Electro-mechanical machines or virtual agents that automate augment or assist human activities, autonomously or according to a set of instructions – often a computer program.
Additional manufacturing techniques used to create three-dimensional objects based on digital models by layering or “printing” successive layers of materials. 3D printing relies on innovative “inks” including plastic, and more recently, glass and wood.
• Computer-generated simulation of a three- dimensional image or a complete environment, within a defined and contained space,that viewers can interact with in realistic ways.
• VR is intended to be an immersive experience and typically requires equipment, most commonly a helmet / headset.
• Additional of information or visuals to the physical world, via a graphics and / or audio.
• Overlay, to improve the user experience for a task or a product.
This “augmentation” of the real world is achieved via supplemental devices that render and display said information.
• Dealing with unstructured and structured data, Data Science is a field that comprises of everything that related to data cleansing, preparation, and analysis.
• Data Science is the combination of statistics, mathematics, programming, problem-solving, capturing data in ingenious ways, the ability to look at things differently, and the activity of cleansing, preparing and aligning the data.
• In simple terms, it is the umbrella of techniques used when trying to extract insights and information from data.
• Big Data humongous volumes of data that cannot be processed effectively with the traditional applications that exist. The processing of Big Data begins with the raw data that isn’t aggregated and is most often impossible to store in the memory of a single computer.
• Software algorithms that are capable of performing tasks that normally requires human intelligence, such as visual perception, speech recognition, decision-making and language translation.
• AI is an “umbrella” concept that is made up of numerous subfields, such as machine learning, which focuses on the development of programs that can teach themselves to learn, understand, reason, plan and act. (i.e. become more intelligent) when expose to new data in the right quantities.
Registration Form