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Artificial Intelligence Basics for Beginners

Understand core AI concepts through visual materials—no formulas or code required—and practice prompt writing and task-specific application patterns. Covering everything from machine learning to generative AI, this practical introductory course empowers non-majors to apply AI directly to their work in just 90 minutes.

2 learners are taking this course

Level Beginner

Course period Unlimited

AI
AI
classifier
classifier
Midjourney
Midjourney
prompt engineering
prompt engineering
GPTs
GPTs
AI
AI
classifier
classifier
Midjourney
Midjourney
prompt engineering
prompt engineering
GPTs
GPTs

What you will gain after the course

  • Explanation of Terms for Machine Learning, Deep Learning, Generative AI, and Large Language Models, and Understanding the Principles of AI Learning

  • Master prompt engineering techniques and task-specific AI application patterns for immediate implementation.

  • Categorizing risk factors such as AI hallucinations, copyright issues, and data leaks, and establishing criteria for determining safe usage.

We've prepared this for people just like you

This is for those who hear the word "AI" every day but struggle to explain what it actually is. For those who have tried chatbots but always end up asking the same old questions. For those who want to use AI at work but feel completely lost as to where to start. And for those who turn off the lecture the moment formulas and code appear.

This course was created specifically for people like you. You don't need any prior development experience or a specialized background. We've kept math formulas and code to an absolute minimum, focusing instead on understanding concepts through visuals and applying them to your work starting today.

This is what you'll achieve after completing the course

Machine learning, deep learning, generative AI, and large language models. You'll be able to confidently explain these terms from the news to anyone. You'll gain a clear, big-picture understanding of how AI learns and generates answers. Most importantly, you'll be able to immediately apply AI to real-world tasks like organizing meeting notes, drafting emails, and summarizing documents. You'll also learn to identify and navigate risks that many people overlook, such as hallucinations, copyright issues, and data leaks.

Unique Strengths of This Course

Instead of relying on formulas, you'll grasp the concepts through visuals. We illustrate the relationship between AI and machine learning using concentric circles, the 70-year history with a timeline, and the neural network architecture with clear diagrams. Rather than using text-heavy slides, we convey concepts through engaging visual aids that are easy to understand at a glance.

It doesn't stop at theory. Using real-world examples, we compare how a beginner's prompt and a well-crafted prompt yield vastly different results for the exact same request. We'll equip you with practical workplace patterns you can put to use immediately, regardless of your role.

We cover what most courses skip: the limitations of AI and how to use it safely. This is exactly what separates those who use AI effectively from those who end up causing major mishaps. We place significant emphasis on this crucial real-world topic.

Curriculum

The course consists of five parts and twenty lectures.

First, in the "Grasping the Concepts" section, we clarify exactly what artificial intelligence means and clearly outline the hierarchical relationships among AI, machine learning, deep learning, and generative AI. Additionally, we condense the 70-year evolution of AI into five key scenes to illustrate how it has reached its present state.

In the "Understanding the Principles" section, we explain the three ways machines learn—supervised, unsupervised, and reinforcement learning—using examples, and use diagrams to illustrate how the neural network architecture in deep learning builds complex concepts from simple features.

In the Generative AI section, we explore what sets it apart from traditional AI and break down the principles of how large language models like chatbots generate text into four clear steps. We also provide a tool map organized by use case to help you decide where to begin.

The practical application section is the core of this course. You'll learn the five principles of prompt writing to elicit the best responses, and see the impact firsthand through before-and-after comparisons. You'll also master four practical use cases you can put to work right away: organizing meeting minutes, drafting emails, summarizing documents, and brainstorming ideas.

In the final section on safe usage, we cover three critical limitations you must be aware of, provide a checklist for using AI in the workplace, and propose a 4-week learning roadmap to help you build your skills after the course concludes.

Please Keep These Points in Mind

This course focuses on how to leverage AI. It does not cover development processes such as designing models from scratch or writing code. No prior knowledge of math or programming is required; as long as you can browse the internet and handle basic document tasks, you will be able to follow along with ease.

Recommended for
these people

Who is this course right for?

  • Working professionals with no development experience who want to leverage AI in their work.

  • Non-technical professionals looking to apply generative AI tools to their day-to-day work

  • Beginners looking to quickly and easily understand the basic concepts of AI.

Need to know before starting?

  • Basic computer and internet skills

  • Interest in or experience using generative AI tools such as ChatGPT

  • Willingness to improve work efficiency or learn new technologies

Hello
This is jjangkbg7719

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Courses

Hello, I'm Frank.

I am an infrastructure engineer who has been wrestling with servers for over 20 years. Starting with Linux server operations, I am now in charge of the cloud infrastructure for a large-scale payment service. My daily life involves migrating from data centers to AWS, managing hundreds of instances, and tracing the causes of failures in the early hours of the morning.

The reason I created this course is simple.

I often received questions like these from those around me: "I managed to connect to the server, but I don't know what to do next." "There are so many instance types; which one should I choose?" These are the exact same points where I got stuck at first. However, when I looked for resources, I found that most of them were written for people who already knew what they were doing.

So I decided to create the course I wish I had when I first started learning.

My lectures are based on three principles.

First, I help you understand rather than memorize. Instead of just listing commands, I explain why we use them in the first place.

Second, I boldly omit unnecessary content. I do not increase the volume by including information that is useless to beginners right now.

Third, I also talk about what doesn't work. Instead of just listing the pros, I clearly point out cases where it might not be a good fit. For someone who has to make decisions in the field, that is more important.

If you feel a sense of "Ah, I should start from here" after listening to the lecture, then my goal has been achieved.

Please feel free to leave any questions you may have at any time.

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