Synopsis
In a rapidly evolving digital landscape, understanding how to leverage Artificial Intelligence (AI) is no longer just for tech experts. This course equips non-technical employees with the knowledge and skills to effectively integrate AI into their daily work. Through hands-on activities and simplified concepts, participants will learn how to make AI work for them — from understanding the basics to effectively deploying and monitoring AI solutions. By the end of the course, participants will feel confident in adopting AI to streamline processes, improve decision-making, and enhance productivity.
Learning Objectives
By the end of this course, participants will be able to:
- Understand the fundamental concepts of AI and how they apply to various business scenarios.
- Identify opportunities to integrate AI into everyday tasks and projects.
- Deploy basic AI tools and models within their workflow while considering necessary skills, software, and hardware requirements.
- Monitor and evaluate the performance of AI solutions effectively to ensure accuracy and efficiency.
- Understand potential ethical implications and data considerations when deploying AI.
Course Modules
Module 1: Introduction to AI for Non-Techies
- What is AI? Demystifying the Concept
- AI Beyond GenAI: Types and Applications
- Real-Life Case Studies: AI Transforming Non-Tech Roles
- Activity: Brainstorming session: Where can AI fit into your job?
Module 2: SHIELD Framework – AI Adoption and Deployment
- What Areas to Pay Attention to for AI to work?
- Brief Description of Each Areas
- Roadmapping: from Zero to One!
- Activity: Self-assessment: AI readiness and skill gaps
Module 3: Stages in AI Deployment
- What are the Stages in an AI Project?
- Problem Definition
- Measurement of Success
- Activity: Problem Definition Exercise
Module 4: The Deployment Process: Integrating AI into Your Work
- Setting Clear Objectives: What Do You Want AI to Achieve?
- Integrating AI into Existing Processes: Step-by-Step
- Communicating with Stakeholders
- Activity: Create a simple deployment plan for your own role
Module 5: Monitoring and Maintenance: Ensuring AI Works as Intended
- Key Metrics to Track AI Performance
- Troubleshooting Common Issues: When AI Goes Wrong
- The Role of Human Judgment: Knowing When to Intervene
- Activity: Monitoring exercise using a simple AI dashboard
Module 6: Ethical and Compliance Considerations in AI Deployment
- Data Privacy and AI: What You Need to Know
- Understanding Bias and Fairness in AI Models
- Company Guidelines and AI Ethics
- Activity: Group discussion on potential ethical dilemmas
Module 7: Case Studies and Final Workshop
- Group Presentation: Pitching Your AI Idea
- Case Studies: Successful AI Integration in Non-Tech Departments
- Workshop: Develop Your Own AI Deployment Proposal