AI Basics for Beginners
At a glance
- Length
- 1 hr 1 min
- Channel
- codebasics
- Video from
- May 2025
- Rating
- ⭐⭐ Great video · 2/2
- Best for
- Beginners exploring AI concepts before diving into tools or advanced learning
Understanding Core AI Concepts for Complete Beginners
Codebasics' "AI Basics for Beginners" video delivers a structured introduction to the essential ideas that underpin artificial intelligence, designed specifically for people starting their journey into this rapidly evolving field. The tutorial takes you through a logical progression—from the highest-level categories of AI down to specific modern applications—so that foundational knowledge builds systematically rather than jumping between disconnected topics.
The video succeeds in making AI accessible by breaking it into digestible sections. Rather than assuming prior knowledge, it establishes what AI is within a broader family tree, then explores how machine learning differs from deep learning, and finally clarifies the newer distinction between traditional AI approaches and generative models. This hierarchical approach helps beginners understand not just what each concept means, but how they relate to one another.
Key Moments
Key Strengths of This AI Foundations Tutorial
- Comprehensive family-tree structure that shows how different AI approaches connect and branch from a common root
- Detailed machine learning section that explains the mechanics before moving to more advanced topics
- Clear comparison between traditional AI and generative AI, helping viewers understand the paradigm shift in the field
- Dedicated segments on large language models and AI agents, covering the tools and systems currently reshaping industry applications
- Logical progression that respects the learner's starting point, avoiding unnecessary jargon early on

Who Should Watch This AI Fundamentals Video
This tutorial suits anyone curious about AI but lacking a technical background or prior exposure to machine learning. Career switchers, business professionals evaluating AI tools, and students exploring technology fields will all find value in the structured breakdown. The video doesn't require programming skills or mathematics expertise—just genuine interest in understanding what AI actually is beneath the marketing hype.
If you're considering how AI might apply to your work or want to hold informed conversations about AI's capabilities and limitations, this foundation is essential. The verdict: watching this first will make every other AI resource—from product reviews to technical documentation—significantly easier to understand.
Frequently Asked Questions About This AI Basics Video
Do I need coding experience to follow this video?
No. The video is explicitly designed for beginners and focuses on concepts rather than implementation. You'll understand how these systems work without needing to write any code.
What is the "AI Family Tree" and why does it matter?
The family tree section maps out how different AI approaches relate to one another—showing which concepts are subsets of others and how the field has evolved. This framework helps you understand where machine learning, deep learning, and generative AI fit within the broader landscape.
How much time should I dedicate to watching this?
The complete video runs nearly an hour. You can watch it in one sitting or spread it across multiple sessions by using the timestamps to jump to sections most relevant to your interests.
What is the difference between Machine Learning and Deep Learning?
The video dedicates substantial time to this distinction. Machine learning is the broader field of systems that learn from data, while deep learning is a more specialized subset using neural networks with multiple layers to find patterns in complex data.
Are Large Language Models and AI Agents the same thing?
No—the video specifically addresses this confusion. The tutorial clarifies how these concepts differ and explores agentic AI as a distinct approach, helping you avoid mixing up these increasingly common terms.

Key Terms
- Machine Learning
- A branch of AI where systems learn patterns from data rather than following explicitly programmed rules.
- Deep Learning
- A specialized type of machine learning that uses neural networks with many layers to recognize complex patterns in data.
- Generative AI
- AI systems designed to create new content—text, images, code, or other outputs—based on patterns learned from training data.
- Large Language Models (LLMs)
- AI systems trained on vast amounts of text that can understand and generate human language in response to prompts.
- AI Agents
- Autonomous systems that can perceive their environment, make decisions, and take actions to achieve specific goals without constant human direction.
Sources: Machine Learning · Deep Learning · Generative AI · Large Language Models (LLMs) · AI Agents — definitions cross-referenced with Wikipedia
Video by codebasics on YouTube. If you enjoyed it, please subscribe to their channel and show your support for the great video.
Description
Essential concepts that you need to know in AI. If you are just starting out with AI then you need to understand the following fundamental concepts that are covered in this video,
⭐️ Timestamps ⭐️
0:00 - 0:15: Introduction
0:16 - 3:01: AI Family Tree
3:02 - 15:54 : Machine Learning
15:55 - 34:17: Deep Learning
34:18 - 36:49 : Generative AI
36:50 - 39:20 : Traditional AI vs Gen AI
39:21 - 44:05 : Large Language Models (LLMs)
44:06 - 56:01 : AI Agents and Agentic Ai
56:02 - end : AI Agent vs Agentic Ai vs Generative AI
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