categories: Technology & Innovation
Explain what AI is and common terms (LLM, prompt, hallucination).
Spot 3 to 5 practical use cases for your work (writing, research, data, meeting notes).
Use a clear prompting framework (Role → Task → Context → Constraints → Examples → Tone).
Turn a rough request into a high-quality prompt (before/after).
Evaluate AI outputs and iterate safely (fact checks + privacy/ethics basics).
Compare top tools at a glance (ChatGPT, Copilot, Gemini) and when to use each.
Free lessons
Course Introduction
What's AI?
1. Introduction to AI Science
Course Introduction
Introduction to AI and Types of Intelligence
What's AI?
AI Timeline Essentials
AI Phases: ANI/AGI/ASI
2. AI: Key Terms & Concepts
AI Core Vocabulary & Taxonomy
Machine Learning Paradigms
Core AI Technologies & Use Cases
AI Applications
AI Sentiment Analysis
AI Speech Recognition
Agentic AI & Robotics
3. Generative AI & Foundation Models
Generative AI: Introduction & Applications
Video Generation Using Gemini Veo 3
AI Foundation Models
Large Language Models (LLMs)
LLMs Technology & Function
AI Challenges
Basics of Data Security
Basics of Data Security - Part 2
4. Prompt Engineering & AI Tools
Introduction to Prompt Writing
Prompt Engineering Techniques
Prompt Engineering Techniques in Action
Exploring ChatGPT's Features
Exploring Google AI Studio Features
Exploring Claude AI Features
Exploring Gamma App Features
Exploring Napkin AI Features
Exploring NotebookLM Features
Final Project
Course Conclusion
This course provides a comprehensive and simplified introduction to the world of artificial intelligence, designed for non-technical learners to understand AI and begin using it safely and productively. It starts by exploring what AI is, the key terms encountered in common tools, and the strengths and limitations of large language models (LLMs). The course then moves from theory to practice through a simple, reusable prompting framework RTCCO (Role → Task → Context → Constraints → Output/Tone) with hands-on examples using ChatGPT, Copilot, and Gemini. Throughout the learning journey, you will gain quick guidelines for privacy protection, bias reduction, and safe data handling, building confidence in experimentation and iteration. The experience concludes with a guided mini-project that transforms a real-world task (such as writing an email, creating a summary, or preparing a brief) from an unclear initial request into a well-structured prompt and refined, ready-to-use output. By the end of the course, you will receive a ready-made prompt pack, checklists, and practical habits that save time in writing, summarizing, and brainstorming at work.
There are no requirements for this course. Your interest in the topic and your commitment to learning are all you need to achieve the utmost benefit from this course.
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80 Learners
14 Courses
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