Overcoming Fear: Embracing Artificial Intelligence in the Non-Technical Workplace

This course aims to empower learners with the deep tech skills necessary to effectively collaborate with AI technologies in non-technical workplace environments. Through a combination of theoretical insights, practical exercises, and real-world case studies, participants gain proficiency in AI fundamentals, data analysis, machine learning, and ethical considerations. By the end of the course, participants will have developed a robust understanding of AI concepts, practical skills for implementing AI solutions, and ethical frameworks for responsible AI adoption.

Modules:

1. Introduction to Artificial Intelligence (AI) (5 hours)

• Demystifying AI: What it is and what it is not (2 hours)
• The history and evolution of AI (1 hour)
• AI in everyday life: Examples and insights (2 hours)

2. Deep Tech Fundamentals (15 hours)

• Basics of machine learning and its applications (4 hours)
• Introduction to data analysis and preprocessing techniques (3 hours)
• Hands-on experience with AI algorithms and model development (5 hours)
• Workshop: Applying AI concepts to real-world scenarios (3 hours)

3. Ethical Considerations in AI (7 hours)

• Understanding ethical frameworks in AI (2 hours)
• Case studies: Ethical dilemmas in AI implementation (3 hours)
• Workshop: Ethical decision-making in AI projects (2 hours)

4. AI Integration in the Workplace (10 hours)

• AI’s role in modern businesses (2 hours)
• Case studies: Successful AI integration in various industries (3 hours)
• Interactive session: Exploring AI tools and platforms (3 hours)
• Workshop: Implementing AI solutions in non-technical settings (2 hours)

5. Developing an AI-Ready Mindset (7 hours)

• Fostering adaptability and resilience in the AI era (2 hours)
• Building confidence in working with AI technologies (2 hours)
• Overcoming fear and barriers to AI adoption (3 hours)

6. Conclusions and Future Directions (5 hours)

• Key takeaways and course recap (2 hours)
• Preparing for a future with AI: Next steps (2 hours)
• Q&A session and closing remarks (1 hour)

7. Final Reflections and Action Plans (3 hours)

• Reflecting on personal growth and insights (2 hours)
• Developing a personal action plan for advancing deep tech skills (1 hour)