Department of Information Technology

Certificate in Artificial Intelligence & Data Analytics

Introduce AI concepts, data literacy, analysis workflows, and responsible use of data-driven tools in practical business contexts.

Apply Now Download Brochure

Programme Highlights What You’ll Learn

Data Analysis Practical, career-relevant learning outcome

AI Fundamentals Practical, career-relevant learning outcome

Data Visualization Practical, career-relevant learning outcome

Pattern Recognition Practical, career-relevant learning outcome

Programme Overview

Introduce AI concepts, data literacy, analysis workflows, and responsible use of data-driven tools in practical business contexts.

Build foundational understanding of artificial intelligence and analytics.
Develop confidence in working with data and pattern recognition.
Explain common AI applications, model thinking, and ethical concerns.
Prepare learners for further study in analytics and AI-enabled roles.

Learning Outcomes

Explain key AI and data analytics concepts in plain language.
Organize and interpret basic datasets for trends and insights.
Identify appropriate uses and limits of AI tools in real scenarios.
Present analytical findings with clear visuals and business relevance.

Skills You Will Gain

Data Analysis AI Fundamentals Data Visualization Pattern Recognition Predictive Thinking Spreadsheet Analytics Decision Support Responsible AI Awareness

Curriculum Structure

Explore the programme module by module. Select any module to view its syllabus topics.

AI, machine learning, and analytics overview
Data-driven decision-making
Applications across industries

Data types, sources, and quality
Collection and basic cleaning
Privacy and responsible handling

Questions, variables, and hypotheses
Descriptive analysis
Interpreting trends and anomalies

Tables, charts, and dashboards
Choosing visuals for the message
Storytelling with data

Supervised and unsupervised learning
Training data and model outputs
Use cases and limitations

Assistants and predictive tools
Workflow enhancement
Human oversight and quality control

Bias, transparency, and fairness
Security and accountability
Responsible AI adoption

Review a sample dataset
Prepare findings and recommendations
Present insights visually

Assessment & Certification

Assessment Pattern

Continuous assessment through quizzes, reflections, and module tasks (30%).
Applied assignment, case study, or guided practical exercise (30%).
Final capstone presentation, portfolio, or integrated mini-project (40%).

Certification Requirements

Minimum 70% attendance or active participation in guided sessions.
Completion of all module activities and internal assessments.
Successful completion of the final capstone task or presentation.

How You’ll Learn

Interactive digital lectures and guided faculty discussions.
Case studies, practical exercises, simulations, and real-world scenario analysis.
Short assignments, reflective tasks, and structured peer learning.
A final capstone, portfolio, presentation, or mini-project.

Who Should Enrol

Learners entering AI and analytics pathways
Business analysts seeking data literacy
IT professionals expanding into AI
Graduates exploring future-facing tech roles
Managers using data for decisions
Students preparing for advanced analytics study

Frequently Asked Questions

The delivery mode is Online (8 Weeks / 40 Hours). Please speak with admissions if you need clarification about attendance or delivery arrangements.

The programme duration is 8 Weeks (40 hrs) with 40 guided learning hours.

The programme contains 8 structured modules.

Use the Apply Now button to begin your application or contact the Brookfield admissions team for guidance.

Ready to Start Your Learning Journey?

Apply to Brookfield Institute UAE or speak with our admissions team about Certificate in Artificial Intelligence & Data Analytics.

Apply Now Download Brochure