Free Download AI Basics for Beginners 2026 | EnginowPublished 5/2026
MP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz, 2 Ch
Language: English |
Duration: 1h 0m |
Size: 1.09 GB
Master AI basics: From Machine Learning and Deep Learning to Generative AI, LLMs, and autonomous AI Agent..
Navigate the AI family tree by distinguishing between Machine Learning, Deep Learning, Generative AI, and AI Agents.
Contrast Traditional AI with Generative AI and understand how Large Language Models (LLMs) process and generate data.
Deconstruct the core technical differences between Deep Learning neural networks and foundational Machine Learning models.
Evaluate the operational shifts from basic Generative AI to advanced AI Agents and fully autonomous Agentic AI systems.
RequirementsNo prior experience with artificial intelligence, machine learning, or programming is required. This course is built entirely from the ground up for absolute beginners.
DescriptionEssential 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
Welcome to this comprehensive foundational guide designed specifically for absolute beginners who want to break through the hype and truly understand artificial intelligence. The rapid evolution of tech can feel overwhelming, but this course simplifies the entire ecosystem by breaking it down into logical, easy-to-digest concepts. We begin our journey by exploring the structural roots of technology through the AI Family Tree, establishing a clear distinction between core disciplines. From there, you will gain a solid intuitive grasp of Machine Learning algorithms and Deep Learning neural networks without being bogged down by complex math equations or heavy computer code.
As we progress into modern applications, you will discover the inner workings of Generative AI and evaluate exactly how it differs from Traditional predictive AI. We will deconstruct Large Language Models to reveal how they process human language so smoothly. Finally, the course look toward the cutting-edge frontier of technology: AI Agents and fully autonomous Agentic AI systems. By comparing these emerging frameworks side-by-side, you will leave this course with a premium conceptual blueprint of the modern tech landscape. Whether you are a business professional, manager, student, or curious enthusiast, this curriculum gives you the exact terminology and confidence needed to navigate the future of automation.
Who this course is forAbsolute beginners and students looking for a clear, hype-free roadmap of the AI landscape without needing a background in coding or mathematics.
Tech enthusiasts curious about how the field evolved from basic machine learning models to fully autonomous agentic systems.
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