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Ai Foundations — The Fundamentals: Understanding Modern Ai

Category: Tutorials


Ai Foundations — The Fundamentals: Understanding Modern Ai
Ai Foundations — The Fundamentals: Understanding Modern Ai
Published 4/2026
Created by Sundog Education by Frank Kane, Karoly Nyisztor • Professional Software Architect
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 58 Lectures ( 2h 49m ) | Size: 3.15 GB

Understand AI basics, how tools like ChatGPT think, and how modern AI can help with writing, learning, and productivity
What you'll learn
✓ Get a clear, approachable introduction to modern AI systems
✓ Understand what AI really is, how today's systems work at a high level, and where their strengths and weaknesses lie
✓ See how large language models fit into the bigger picture, learn to separate facts from myths
✓ Discover simple, real-life ways to use AI for writing, research, planning, creativity, and more
Requirements
● Learners should have light exposure to AI tools. No other skills beyond basic computer usage skills.
Description
AI is becoming part of everyday work, but for many people, it still feels confusing, overhyped, or intimidating.
You may have tried ChatGPT, Claude, Gemini, or other AI tools and seen what they can do. But once people start talking about large language models, tokens, context windows, parameters, AI agents, or "artificial intelligence" as if it were actually thinking, it can be hard to separate practical reality from buzzwords.
This course solves that problem.
AI Foundations gives you a clear, beginner-friendly introduction to modern AI, generative AI, and large language models without requiring coding, math, or machine learning experience. It is not an AI engineering course. It is a practical AI literacy course for anyone who wants to understand and use AI more effectively in business, learning, writing, research, productivity, and daily life.
What you'll learn
In this course, you'll learn how to
• Understand what artificial intelligence means in practical terms
• Explain how generative AI and large language models like ChatGPT work at a high level
• Make sense of terms like tokens, parameters, context windows, and temperature
• Recognize why AI can sound intelligent while still being confidently wrong
• Separate real AI capabilities from myths, hype, and marketing
• Understand AI limitations, hallucinations, privacy concerns, and responsible use
• Use AI tools for writing, research, learning, planning, brainstorming, and productivity
• Improve results with better prompts and iterative prompting
• Compare popular AI tools such as ChatGPT, Claude, Gemini, Llama, DeepSeek, and Qwen
• Build simple AI workflows you can apply to real-world tasks
Who this course is for
■ Beginners/general audience with light exposure to AI tools
■ Someone who has used ChatGPT or Claude a few times but is not familiar with terms such as "agentic AI," "context window," or "MCP"




   
   
   


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