IAIDL certification validates a professional’s technical knowledge and experience with specific technologies, methods, or practices. IAIDL certifications require candidates to pass one or more Exams.
IAIDL certification validates a professional’s technical knowledge and experience with specific technologies, methods, or practices. IAIDL certifications require candidates to pass one or more Exams. In preparing to pass these credentialing exams, professionals gain and practice certain skills.
Many professionals value the process of preparing for these tests since they gain knowledge they can apply in their jobs and use to advance their careers.
IAIDL considered as the first AI and FMT competency-based certification worldwide that is aligned with AI associates standards, and global AI Index.
There are currently (2) main levels of professional qualifications in AI and FMT Certification:
(International artificial intelligence and future management tools driving license foundation)Read More
Level II (International artificial intelligence and future management tools driving license Practionaire)Read More
Candidates who are deeply interested in understanding AI and FMT Such as coding/AI/machine learning (ML), fresh graduates, working professionals who employ data analysis techniques in the course of their work.
Working professionals with at least one year of experience in AI-related roles. Individuals at this level are typically AI specialists in AI project teams within a commercial organization.
Working professionals and seniors with at least three to six years of experience in AI-related roles. leading teams in developing and deploying multiple large-scale and complex AI and FMT projects in a commercial organization. Individuals at this level are typically managers or senior managers and head AI/Technology Centers of Excellence or similar functional units in a large commercial organization who are team leads for large-scale AI and FMT projects in commercial organizations.
Distributed electronics ledger that uses software algorithms to record and confirm transactions with reliability and anonymity
Air-or water-base devices and vehicles, for example, Unmanned Aerial Vehicle (UAV), that fly or move without an onboard human pilot.
IOT enables devices to be connected and remotely monitored or controlled.
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.
Dealing with unstructured and structured data, Data Science is a field that comprises of everything that related to data cleansing, preparation, and analysis.
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.
Software algorithms that are capable of performing tasks that normally requires human intelligence, such as visual perception, speech recognition, decision-making and language translation.