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Introduction to AI, its limitations and how to use it right

Name: Introduction to AI, its limitations and how to use it right
Rating: 4.3 (6 reviews)

AI Demystified: Understand How It Works, Where It Fails, and How to Write Better Prompts & Evaluate AI Outputs

Created bySonya Leaman

Last updated 7/2025

English

What you'll learn

Understand how AI learns and generates responses to recognize its strengths and limitations.
Apply foundational AI knowledge to use AI effectively and responsibly at work.
Recognize AI’s Limitations and Risks.
Explain key AI limitations, including hallucinations, biases, lack of context, and security risks.
Identify ethical concerns and data privacy risks in workplace AI use.
Make informed decisions about AI use, balancing its strengths and weaknesses.
Avoid Common AI Mistakes and Misuse.
Recognize common AI pitfalls, such as over-reliance on its outputs.
Learn to spot misleading AI-generated content before using it.
Enhance AI Performance with Better Prompts.
Write clear, structured prompts to get more accurate and relevant AI responses.
Understand how AI processes inputs to refine your interactions with AI tools.
Develop Critical Thinking for AI Evaluation.
Assess AI-generated content for accuracy, reliability, and bias to avoid misinformation.
Recognize when AI outputs need fact-checking and human oversight.
Explore how professionals use AI across different industries and job roles.
Understand AI’s Role in the Future of Work.
Examine how AI is shaping workplace trends and changing job skills.
Develop AI literacy to adapt to new AI-powered tools and technologies.

Course content

6 sections • 20 lectures • 1h 44m total length

Introduction1:06

Section introduction0:57
Understand how artificial intelligence works, its core components and technologies like machine learning, natural language processing, large language models, and generative AI to grasp strengths, limitations, and responsible use.
What is Artifical Intelligdence (AI)4:34
Machine learning7:51
Explore machine learning as the AI engine, including natural language processing and large language models. See how data, training, testing, and algorithms drive supervised, unsupervised, and reinforcement learning.
Natural Language Processing6:44
Master natural language processing by splitting text, removing noise, and stemming words to reveal meaning, then apply translation, virtual assistants, and chatbots while noting bias and context limits.
Large Language Models (LLMs)5:44
Generative AI3:12
Generative AI uses machine learning and large language models to create original video, music, images, and code from prompts, while enabling critical evaluation to mitigate biases and hallucinations.
End of section quiz

Section introduction0:45
Examine AI limitations and ethical risks, including misinformation, biased content, and security concerns, and learn to evaluate data, use AI responsibly, and work with it safely.
Understanding AI limitations13:16
Explore AI limitations and learn to evaluate outputs critically to avoid hallucinations, bias, and overgeneralization, recognizing the importance of context and high quality prompts.
Ethical risks and issues in AI10:53
Explore ethical risks in AI, including bias, misinformation, and data privacy, and learn responsible use, awareness of limitations, accountability, and safeguards to prevent harm.
End of section quiz

Section introduction0:57
Learn to use AI effectively and responsibly by crafting clear, structured prompts, applying structured frameworks to assess accuracy and reliability, and using critical thinking to evaluate biases.
Writing effective prompts18:47
Mastering the art of writing effective prompts is essential for getting the best results from AI while managing its risks and limitations. In this lesson, you'll learn:
Why well-crafted prompts are crucial for accurate and useful AI outputs.
The key components of effective prompt writing.
A hands-on exercise to apply your skills and refine AI-generated responses.
By the end of this lesson, you'll be able to structure prompts that guide AI more effectively, helping you get clearer, more relevant, and more reliable results.
Critical thinking and evaluation of AI outputs14:40
Develop critical thinking to evaluate ai outputs using frameworks like aaa, craap, and sift, spotting bias, hallucinations, and fallacies while questioning assumptions.
End of section quiz

Section introduction0:47
Explore AI's limitations and risks alongside its power, and see real-world adoption—from drafting policies to using ChatGPT before board presentations.
Examples of how industries are utilising AI0:53
Examples of how people are using AI in their work0:32
Use case example - using ChatGPT to help draft a hybrid working policy3:47
Use ChatGPT to draft a structured hybrid working policy, covering eligibility, hours, tools, communication norms, and performance metrics, then tailor it for legality and culture.
Use case example - using Microsoft Copilot to streamline project communication4:33
Streamline project communications with Microsoft Copilot by summarizing emails, meetings, and chats into actionable items. Boost leadership focus and save hours weekly by consolidating updates and keeping teams aligned.
Use case example - using ChatGPT to prepare for Board presentation3:07
Demonstrates how to use ChatGPT as a senior executive persona to stress test board-level proposals, refine budgets, assess risks, simplify slides, and plan scenarios for a confident board presentation.

Requirements

No prior experience with AI is required.

Description

AI is transforming the way we work — but without the right understanding, it can lead to costly mistakes, misinformation, or misuse. This beginner-friendly course is designed to demystify how AI tools like ChatGPT actually work, explain their limits, and equip you with practical skills to use them wisely.

You’ll move beyond just using AI — and develop the thinking strategies, ethical awareness, and prompting skills that make AI truly useful to you.

What You’ll Learn

How AI really works (and why it makes mistakes).
How to structure better prompts for accurate, useful results.
How to critically evaluate AI outputs to avoid misinformation and bias.
How to apply AI in your work without falling into common pitfalls.

Why Understanding AI’s Limitations Gives You an Edge

AI isn’t a human thinker—it’s a pattern-recognition tool. It can hallucinate false information, amplify biases, and misinterpret nuance. If you don’t know how to spot these issues, you risk making poor decisions, spreading misinformation, or compromising security.

In this course, you’ll explore:

Hallucinations & misinformation – Why AI confidently generates false information.
Bias in AI outputs – How training data influences results (and what to watch for).
Lack of true understanding – Why AI struggles with nuance, tone, and context.
Security & ethical risks – How AI impacts privacy, misinformation, and responsible decision-making.

The Practical AI Skills You’ll Gain

This isn’t just theory—you’ll develop hands-on skills that help you work smarter with AI:

Writing better prompts – Learn how to guide AI for precise, useful responses.
Critical thinking & fact-checking – Identify AI-generated errors before they cost you.
Ethical AI use – Avoid bias, misinformation, and privacy risks.

Bonus: Downloadable worksheets, prompt templates, and a critical thinking checklist so you can apply what you learn immediately!

How AI is Being Used in Different Industries

This course includes extra content showing real-world use cases and industry insights to help you see how AI can be applied in your role.

Whether you're new to AI or looking to integrate it into your work, these insights will help you discover the best ways to leverage AI tools in your work.

Who this course is for

Beginners looking to build a strong, ethical foundation in AI use
Professionals new to AI tools like ChatGPT, Copilot, or Gemini
Anyone who feels unsure or overwhelmed about how AI fits into their work
Career upskillers who want to stay ahead in an AI-driven workplace.
Anyone curious about AI’s real-world applications and risks.

By the end, you won’t just use AI—you’ll use it wisely. Maximize its benefits, avoid its risks, and gain the AI skills that matter.

Enrol now and start using AI the right way!

Who this course is for:

Professionals & Knowledge Workers – Employees in marketing, HR, business management, consulting, finance, and other fields who are expected to use AI at work but lack confidence in using it correctly.
Early AI Adopters & Curious Learners – People who have started using AI tools (ChatGPT, Copilot, Gemini) but don’t fully understand how they work and want to use them more effectively.
Career Upskillers & Job Seekers – Those looking to improve their AI literacy to stay competitive in the job market.
Entrepreneurs & Small Business Owners – People who see AI as a productivity tool but worry about accuracy, bias, and limitations.
Content Creators & Freelancers – Writers, marketers, and consultants who want to use AI for content creation while avoiding common pitfalls.
Students & Recent Graduates – Those preparing to enter the workforce and want to stand out with AI skills.

Introduction to AI, its limitations and how to use it right

What you'll learn

Explore related topics

Course content

Introduction1 lecture • 1min

Introducing AI and how it works6 lectures • 29min

AI limitations and ethics3 lectures • 25min

Essential knowledge and skills for working with AI3 lectures • 34min

Extra content: Adopting AI - examples of how AI is being used in the workplace6 lectures • 14min

Closing summary - course end1 lecture • 1min

Requirements

Description

Who this course is for: