AI4ALL: AI For Government Services

Stage 2: Data-Driven Government Decision Support & Intelligent AI Agents

Stage 2 Details

AI4ALL – Stage 2: Data-Driven Decision Support & Intelligent AI Agents is a 5-hour hands-on program designed to help participants use data and AI to support smarter government decision-making and service delivery. The program covers Data-Driven Decision Support, where participants use Orange Data Mining to explore and visualize data, apply classification and clustering techniques, and generate actionable insights, followed by Building Intelligent AI Agents, where participants transform a Custom GPT into an Agentic AI Assistant by integrating organizational knowledge, designing multi-step workflows, automating routine tasks, and supporting decision-making through practical government use cases. By the end of the program, participants will gain practical experience in combining data analytics, AI, and Agentic AI workflows to develop a working intelligent assistant for government operations, decision support, and service delivery.

Overall Curriculum Structure

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Agenda

Date Time Location Session Title
Thursday, 17 September 2026 11:00 AM to 1:00 PM UAEU, AL WASEL BUILDING – Room 1035 Module 3: Data-Driven Decision Support
Friday, 18 September 2026 09:00 AM to 12:00 PM UAEU, AL WASEL BUILDING – Room 1035 Module 4: Building Intelligent AI Agents

Requirements

To ensure you are fully prepared for the hands-on activities, please bring the following:

Participants may need a Google account to complete some tasks.

Handouts

Participants can access the workshop documents and handouts from here.

Access Documents

Interactive Handouts:

Session Title Date Handout URL
Module 3: Data-Driven Decision Support Thursday, 17 September 2026 Module 3 Interactive Handouts
Module 4: Building Intelligent AI Agents Friday, 18 September 2026 Module 4 Interactive Handouts

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Note: Completing the survey is required to receive your certificate. It will be activated during at 11:00 PM on Friday 18/09/2026

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Coordinator

Dr. Rawhi Alrae

Dr. Rawhi Alrae

Dr. Alrae is a PhD Instructor of Computer Science at United Arab Emirates University. His expertise spans Artificial Intelligence, Data Science, and Information Systems. His research focuses on AI applications, data quality, and intelligent systems.

Instructors

Mr. AbdalRaheem Al Smadi

Mr. AbdalRaheem Al Smadi

Mr. Alsmadi is an Instructor in the College of Information Technology at the United Arab Emirates University (UAEU). His research interest lies in the general area of Data Science with a focus on Natural Language Processing (NLP).

Mr. Mohammad Banat

Mr. Mohammad Banat

Mr. Banat is an Instructor in the College of Information Technology at the United Arab Emirates University (UAEU). He has over 10 years of industry experience in web development, product management, and business analysis.

Contact

Organizer: UAEU - College of Computing and Artificial Intelligence

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