Program Overview

Introduction to the Foundation Course

The Foundation Course is designed to establish core AI literacy across all five components of the ALiF framework, serving as the cornerstone of AI literacy development. This 20-25 hour blended learning experience combines online modules with synchronous sessions to provide a comprehensive introduction to AI concepts, skills, and applications relevant across professional contexts, grounded in the five components of the ALiF framework, and is offered by the Mohammed Bin Rashid University of Medicine and Health Sciences (MBRU).

Course Overview

The course is a blended learning experience that combines engaging online modules with interactive live sessions. It is designed to unlock the fundamentals of artificial intelligence, providing a starting point for developing core AI literacy.

What You Will Learn

• Evolution of AI: From inception to current state
• How modern AI systems work
• Types of AI: Machine learning, deep learning, generative AI
• Prompt engineering fundamentals
• AI tool selection criteria
• Interface patterns in AI tools

Syllabus

Module 1: AI Fundamentals

1. Evolution of AI: From inception to current state
2. How modern AI systems work
3. Types of AI: Machine learning, deep learning, generative AI
4. Current capabilities and inherent limitations

Module 2: Working with AI Tools

1. Prompt engineering fundamentals
2. Interface patterns in AI tools
3. AI tool selection criteria
4. Common error types and solutions

Module 3: AI Workflows and Processes

1. AI integration frameworks
2. Documentation standards and practices
3. Process optimization approaches
4. AI-human collaboration models

Module 4: Evaluating AI Outputs

1. Verification methodologies
2. Fact-checking AI outputs
3. Critical analysis frameworks
4. Documentation of verification processes

Module 5: Quality Control for AI

1. Quality control frameworks
2. Error pattern recognition
3. Correction methodologies
4. Monitoring techniques and tools

Module 6: Measuring AI Impact

1. Define appropriate metrics for AI implementation assessment
2. Apply impact measurement methodologies
3. Analyze efficiency and effectiveness improvements
4. Develop structured impact reports

Course Details

• The course is free.
• It combines online modules with interactive live sessions.
• The course duration is 20-25 hours.
• It provides a comprehensive introduction to AI concepts, skills, and applications.