Programs

By Dr. Omar Kamel, M.Sc. 
AIDL (Artificial Intelligence Digital Literacy)
Course Overview
This 12-hour course is designed to equip professionals with the knowledge and skills necessary
to leverage AI tools effectively. These tools are essential for enhancing daily operations and
improving decision-making processes across various business functions. Participants will
explore the applications of AI in finance, marketing, human resources, IT, and general
management, ensuring a comprehensive and practical learning experience.
Course Outline
Day 1: Foundations of AI and AI Literacy:
 Introduction: Computer Science, Intelligence, and AI
This section will provide a foundational understanding of key concepts in
computer science and AI.
 AI Literacy Concepts and Global Context
Participants will explore the importance of AI literacy in today's global
landscape and its implications for various sectors.
 Core AI Concepts: Data, Machine Learning, and Types of AI
This segment will cover essential AI concepts, including data usage,
machine learning fundamentals, and the different types of AI.
 Session 1: Language AI – ChatGPT & Text Tools (+8 tools and +4
activities)
Attendees will engage with various language AI tools, including hands-on
activities to enhance their practical skills.
 Recap and Q&A (45m)
A session to consolidate learning and address any questions participants may have
may have.
Day 2: Hands-On with Generative AI Tools
 AI Fields and Real-World Applications
This section will explore various domains where AI is making significant
impacts, including healthcare, finance, marketing, and more. Participants will
gain insights into how AI technologies are transforming traditional practices
and enhancing efficiency across industries.
 Session 2: Different LLM Use Cases (7 use cases + 1 presentation +
financial analysis)

In this session, we will delve into seven practical applications of large language
models (LLMs).
 Session 3: Image AI (+3 tools + 3 activities)
This session will focus on three leading AI image generation tools:
 This session will focus on three leading AI image generation tools
In this session, we will explore three AI tools designed to enhance audio and
video production
 Recap and Q&A (30m)
Day 3: Hands-On with Generative AI Tools
 Prompt Engineering (2 Use Cases)
Prompt engineering is crucial for guiding AI models to produce desired
outputs.
 Embedded AI (2 Tools)
Embedded AI refers to integrating AI capabilities directly into applications or
devices.
 Use of Tools
The effective use of these tools involves understanding their functionalities
and integrating them into existing workflows. Like search, canvas, Deep
research..etc..
 Vibe Coding (1 Tool + 1 Activity)
Vibe coding allows users to describe what they want their applications to do,
with AI handling the technical implementation.
 AI Workflow & Process Automation (2 Tools)
AI workflow automation tools help streamline business processes by
automating repetitive tasks.
 Agentic AI (1 Tool)
Agentic AI refers to AI systems that can operate autonomously to achieve
specific goals.
 Wrap-up and Q&A (30m)
The session will conclude with a recap of the key concepts discussed, followed
by a Q&A segment where participants can ask questions and clarify any
doubts regarding the tools and techniques covered.
Audience Profiles
 Top-Level and Middle-Level Managers: Executives and managers who
make strategic decisions and oversee business operations.
 Finance Professionals: Accountants and financial analysts involved in
financial planning and analysis.
 Marketing Teams: Marketing managers and digital marketers focused on
improving campaign effectiveness.
 Human Resources Personnel: HR managers and recruiters responsible for
talent acquisition.

 IT Specialists: IT managers and software developers managing technology
systems.
 General Managers and Professionals: Individuals across various business
functions interested in using AI to enhance operational efficiency.
Prerequisites
 Participants should have basic computer skills, including knowledge of
operating systems, web browsing, and file management.
 A basic understanding of business operations in finance, marketing, human
resources, and IT will help contextualize AI applications.
 Familiarity with Microsoft Excel, including basic formulas and data
manipulation, will aid in learning AI integration for financial tasks. It is plus.
 Participants should be open to learning and adapting to new technologies, as
AI is a rapidly evolving field.