TECH112 - AI in Industry

Introduction

Introduction to Artificial Intelligence

• What is Artificial Intelligence?
• History and Evolution of AI
• Types of AI: General and Narrow
• AI vs. Human Intelligence
• Key Areas: Machine Learning, NLP, and Robotics
• How AI is Rapidly Advancing Across Various Fields
• Understanding the Impacts of AI in Industry
• Summary
• References

How AI Thinks and Learns

• How AI Systems Learn from Data and Experience
• How Machines Recognize Patterns and Make Predictions
• The Process of Training AI Using Examples and Feedback
• How Inputs are Turned into Intelligent Outputs
• How AI Improves over Time Through Retraining
• AI Usage in Tools like Assistants and Smart Apps
• Summary

Exploring Generative AI

• What Generative AI is and How it Creates New Content
• Differences Between Generative Models and Traditional AI Systems
• How Tools Like ChatGPT, DALL·E, and Others Generate Text and Images
• Real-World Uses of Generative AI in Creativity and Productivity
• Challenges and Concerns with Content Generation
• The Future Potential of Generative Systems
• Summary

Writing Prompts That Guide AI

• What Prompts Are and How They Guide AI Responses
• Types of Prompts Including Zero-Shot, Few-Shot, and Structured Prompts
• How to Write Clear, Effective Prompts for Different Tasks
• How Context and Phrasing Affect AI Output
• Common Mistakes in Prompt Writing and How to Fix Them
• Practice Examples for Improving Prompting Skills
• Summary

Using AI to Boost Work and Creativity

• How AI Tools Support Productivity in Writing, Coding, and Design
• How Students, Professionals, and Creators Benefit from AI
• Ways to Integrate AI into Daily Tasks and Creative Projects
• Automate and Collaborate with Generative & Agentic AI
• Build Your First AI Agent
• The Role of Human-Machine Collaboration
• Limitations and Responsible Use of AI Tools
• Summary
• References

Ethics and Privacy in the AI Era

• Ethics of Intelligent Systems
• Understanding AI Bias, Fairness, and Accountability
• How Personal Data is Used and Protected in AI Systems
• Legal and Social Concerns Surrounding Privacy in AI
• Examples of Ethical Challenges in Real-World AI Use
• Best Practices for Using AI Responsibly and Transparently
• Summary

The Future of AI and What’s Ahead

• Emerging Trends in Autonomous Car Technology
• The Growing Role of AI in Finance, Healthcare, and Human Resources
• How AI is Reshaping Jobs, Skills, and the Workplace
• Innovations on the Horizon such as AI Agents and Chatbots
• The Importance of Staying Informed about AI Developments
• AI and the Battlefield—Opportunities, Risks, and Ethical Dilemmas
• Summary