Duration 1 day – 7 hrs
Overview
This course offers a simple, non-technical introduction to the world of Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI). It is designed for business professionals who want to confidently understand and leverage AI technologies in their work — without needing any technical background. Participants will learn the basics of AI concepts, different types of AI models, and practical use cases across HR, Sales, Marketing, Administration, and other business areas.
Objectives
- Understand the basic concepts of AI, Machine Learning, and Generative AI.
- Differentiate between Open-source AI and Proprietary AI platforms.
- Recognize how AI is being used across various business functions.
- Identify opportunities to apply AI tools in their own roles and departments.
- Gain confidence to interact with AI-driven tools and initiatives.
Audience
- HR Professionals
- Sales & Marketing Teams
- Admin and Support Staff
- Customer Service Representatives
- Business Managers and Executives
- Anyone in a non-technical role who wants to understand and use AI effectively
Prerequisites
- No technical background required
- Basic computer literacy (internet browsing, using apps)
Course Content
Module 1: Introduction to Artificial Intelligence (AI)
- What is AI?
- How is AI different from traditional programming?
- Everyday examples of AI in life and work
Module 2: Key Concepts Made Simple
- Understanding Machine Learning (ML)
- How machines “learn” from data
- Supervised vs Unsupervised Learning (simple explanation)
- What is Generative AI (GenAI)?
- Creating content (text, images, audio, code)
- Key examples: ChatGPT, Midjourney, DeepSeek, Claude
Module 3: Open vs Proprietary AI Models
- Open AI vs Proprietary AI: What does it mean?
- Comparing popular models:
- ChatGPT (OpenAI)
- DeepSeek (Open-source)
- Claude (Anthropic)
- Key strengths and limitations of each
- How to choose the right AI tool for business tasks
Module 4: Real-World Applications of AI Across Departments
- Human Resources:
- AI in recruitment (resume screening, interview chatbots)
- Employee engagement analysis
- Sales:
- AI for lead generation and customer profiling
- Predictive analytics for sales forecasting
- Marketing:
- Content creation (blogs, social media posts, ads)
- Customer sentiment analysis
- Administration:
- Automating reports and email responses
- Scheduling and virtual assistants
- Customer Support:
- AI chatbots and helpdesk automation
Module 5: Ethical Use of AI and Practical Tips
- Bias in AI: What non-tech professionals should know
- Privacy and data security basics
- Best practices when using AI tools responsibly
Module 6: Hands-on Activity (Optional)
- Guided demo: Trying a simple GenAI tool like ChatGPT
- Brainstorm: Where can you use AI in your daily work?
- Sharing of ideas and group discussion
