As organisations move from experimenting with AI to deploying it in production, they need professionals who understand not just the theory of machine learning but how to apply it responsibly and effectively. This certification validates practical AI and data science skill, focused on real model-building and evaluation rather than purely academic concepts.
The Certified Associate Data Intelligence Plus validates applied skill in building and evaluating machine learning models, working with structured and unstructured data, and applying AI techniques to solve real business problems. It bridges foundational data analytics with practical machine learning application.
60 scenario-based questions covering the applied machine learning and AI workflow. 90 minutes, 70% passing score, online proctored.
Data analysts and IT professionals looking to move into data science and applied AI roles.
Foundational data analytics knowledge recommended. Basic programming familiarity is helpful.
Prepares candidates for roles such as Junior Data Scientist, Machine Learning Analyst, AI Solutions Associate, and Data Science Engineer.
The Certified Associate Data Intelligence Plus validates applied skill in building and evaluating machine learning models, working with structured and unstructured data, and applying AI techniques to solve real business problems. It bridges foundational data analytics with practical machine learning application.
Data and AI skills have moved from a specialised niche to a mainstream requirement across nearly every industry. Organisations increasingly rely on data-driven decision-making and AI-assisted workflows, creating strong, sustained demand for professionals who can work confidently with data and apply machine learning and AI concepts responsibly and effectively.
Every Global Exam Labs certification is built on a real, current syllabus rather than generic theory, and validated through a proctored online assessment. Candidates receive a verifiable digital certificate and a shareable digital badge upon passing, recognised by employers evaluating technical competency in Data & AI.
8 modules covering the complete scope of the Certified Associate Data Intelligence Plus exam, from foundational concepts through applied, scenario-based practice.
Choosing the right certification depends on your current experience, your target role, and how much hands-on background you already have in Data & AI. Use the guidance below to assess fit before enrolling.
60 scenario-based questions covering the applied machine learning and AI workflow. 90 minutes, 70% passing score, online proctored.
Candidates are encouraged to work through the full syllabus in order, paying particular attention to scenario-based application rather than memorising definitions. Because the exam uses realistic, scenario-based questions, understanding how concepts apply in practice matters more than rote recall. Two attempts are included with enrollment, so candidates who do not pass on their first attempt can review their weaker areas and reattempt without additional cost.
This certification serves as a strong entry point into Data & AI. Many candidates pursue this credential to formally validate skills they are just beginning to build, and follow it with an Advanced-level certification in the same track once they have gained practical, on-the-job experience.
Career outcomes vary based on prior experience, region, industry, and the specific track chosen alongside this certification. This credential is designed to strengthen your profile for the roles described above, not to guarantee employment or a specific salary outcome.
Join certified professionals globally. Enroll today and start your certification journey with Global Exam Labs.
