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Generative AI Explained: From Basics to Real-World Applications | iNeuronix.ai

Welcome to iNeuronix.ai – your go-to place to learn Generative AI, Artificial Intelligence, Machine Learning, and Deep Learning.

Unlock the world of Generative AI in this complete beginner-to-advanced roadmap! 🚀 In this video, we explain what Generative AI is, how it works, and how it differs from traditional AI. You’ll explore real-world applications in text, image, video, audio, and 3D generation, see live ChatGPT demos, and understand the technologies behind models like GPT, Stable Diffusion, DALL·E, Sora, and more.


✅ What is Generative AI & how it differs from traditional AI
✅ Real-world examples: ChatGPT, DALL·E 3, Stable Diffusion, Runway Gen-2, 11 Labs, Adobe Firefly, and more
✅ Hands-on demos: writing code, creating marketing emails, generating creative content
✅ AI applications in productivity, gaming, design, and multimedia
✅ Technical foundations: Transformers, Diffusion Models, GANs, and Variational Autoencoders
✅ Roadmap to build, innovate, and deploy your own AI-powered solutions


Whether you're a student, professional, or tech enthusiast, this series is your structured roadmap to master Generative AI and stay ahead in the AI revolution.

🎯 Start building AI-powered projects today and turn your ideas into reality!

🔔 Don’t forget to like, share, subscribe, and hit the bell icon to follow the full Generative AI series.

We’ll also explore how to train a Generative AI model, how to become a Generative AI engineer, and the complete learning path for Generative AI from scratch.

Along the way, we’ll break down Artificial Intelligence explained, what is the meaning of AI, what are the applications of AI, AI in Python, AI interview questions and answers, AI trends YouTube channel ideas, and even fun topics like AI in Illustrator, AI in Instagram, AI virtual assistants, AI robots, and AI apps.

We’ll go beyond Generative AI into Machine Learning full course, Machine Learning for beginners, how does Machine Learning work, what is Machine Learning and its types, applications of Machine Learning, Neural Networks in Machine Learning, Genetic Algorithms in Machine Learning, and even Machine Learning interview questions and answers.

Next, we’ll dive into Deep Learning full course, Deep Neural Networks explained, Deep Learning in AI, Deep Learning for computer vision, Deep Learning for NLP, and Deep Reinforcement Learning projects.

By the end, you’ll not only know what is Generative AI but also where it fits into AI → Machine Learning → Deep Learning → Generative AI.

⏱️ Video Chapters / Timestamps:

0:00 – 0:30 What we will cover

0:30 – 1:25 Roadmap for learning Generative AI

1:25 – 2:21 What is Generative AI

2:21 – 3:00 How Generative AI differs from Traditional AI

3:00 – 5:30 Where do we see Generative AI today

5:30 – 7:16 ChatGPT Example of Generative AI

7:16 – 7:58 Why Generative AI matters now

7:58 – 9:08 Generative AI in the AI Hierarchy

9:08 – 9:54 The Technology behind Generative AI

9:54 – End Outro

Topics Covered in This Series:

Generative AI full course with projects & practicals

Generative AI vs Traditional AI

AI explained for beginners

Machine Learning and Artificial Intelligence basics

Deep Learning tutorials for everyone

Whether you are a beginner, student, developer, project manager, or AI enthusiast, this series is your complete roadmap to mastering Generative AI.

Stay tuned on iNeuronix.ai for upcoming videos where we cover Transformers, GANs, Diffusion Models, and Variational Autoencoders in detail.

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