Target Audience: University students from all disciplines with basic digital literacy, interested in learning practical applications of AI tools. 

Workshop Goals

1. Equip university students with a foundational knowledge of AI and Generative AI (GenAI).

2. Teach practical skills in prompt engineering to maximize AI tool efficiency.

3. Demonstrate real-world applications of AI in academia and the workplace.

4. Foster confidence in using AI tools responsibly and ethically.

Proposed Workshop Structure

1. Introduction to AI & GenAI (1 hour)

• Objective: Understand the basics of AI, its types, and how Generative AI works.

• Topics:

  • What is AI and GenAI?

  • Key tools and platforms (ChatGPT, Copilot, Gemini, etc.)

  • AI's impact on education and professional development.

• Activity: Group discussion: How have you encountered AI in your daily life?

2. Fundamentals of Prompt Engineering (1.5 hours)

• Objective: Learn to craft effective prompts for AI tools.

• Topics:

  • Anatomy of a good prompt.

  • Types of prompts: instructional, exploratory, and creative.

  • Common mistakes and troubleshooting.

• Activity: Practice session: Crafting and testing prompts using AI tools.

Break (15 minutes)

3. AI for Academic Excellence (1.5 hours)

• Objective: Explore AI tools that aid in research, writing, and learning.

• Topics:

  • Summarizing research papers with GenAI.

  • Brainstorming ideas and generating content.

  • Enhancing academic writing and grammar.

• Activity: Hands-on task: Generate an outline for a term paper using AI.

Lunch Break (1 hour)

4. AI in Professional Development (1.5 hours)

• Objective: Use AI tools for career readiness and skill-building.

• Topics:

  • Creating resumes and cover letters.

  • Preparing for interviews with AI-generated practice questions.

  • Using AI for data analysis and visualization.

• Activity: Group task: Design a professional portfolio with AI.

Break (15 minutes)

5. Ethical Use of AI & GenAI (1 hour)

• Objective: Understand the ethical considerations and limitations of AI tools.

• Topics:

  • Addressing academic integrity with AI. 

  • Plagiarism, bias, and misinformation in AI.

  • Responsible AI use in academic settings.

  • Ensuring data privacy and security.

• Activity: Case study analysis: Identifying ethical dilemmas in AI usage.

6. Capstone Project: AI in Action (1 hour)

• Objective: Apply knowledge from the workshop in a collaborative project.

• Task:

  • Form small teams to solve a problem or create a project using AI tools (e.g., design a marketing campaign, create an academic presentation, etc.).

• Presentations: Teams present their outcomes to the group for feedback.

7. Q&A and Workshop Wrap-Up (15 minutes)

• Open discussion on challenges and ideas

• Feedback from participants

• Certificates of participation

Materials Provided

• Workshop guidebook with detailed instructions and examples.

• AI tools access links and resources.

• Certificate of completion.

Participation Requirements

• Hardware: Laptop (Windows, macOS, or Linux) with internet access.

• Software: Free accounts on specified AI platforms (links provided upon registration).

• Prerequisite Knowledge: Basic familiarity with academic research, communication, and digital tools like Google Docs or Excel.

Outcome

Participants will leave with practical AI skills, enhanced academic and professional capabilities, and an ethical approach to using AI tools effectively. 

Learn more about our value proposition and special offers and contact us to tailor this workshop to your institution's needs.