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Explore How I’d Learn AI If I Could Start Over - The Ultimate AI Learning Roadmap For Beginners with 25,822 views, 1,269 likes, and 127 comments. Experience the impact of this video content that has captured audience attention.

Huge thanks to Simplilearn for partnering on this video! Check out their Applied Gen AI Specialization 👉 https://www.simplilearn.com/test-applied-ai-course-blended Do you want to become an AI Engineer but feel buried under equations and confusing tutorials? 🤯 This beginner-friendly AI roadmap connects the big picture, gives you a clear step-by-step plan, and real projects - so you can start building AI systems with confidence! 💪🤓 👨‍💻 Who this video is for: - Curious beginners who want a clear path into AI engineering. - Developers/data-curious folks who feel lost in buzzwords. - Anyone ready to move beyond typing prompts and understand how the whole system actually works. 💡What you’ll learn (fast): - Difference between AI and a regular program - Difference between Machine Learning and Deep Learning - How neural networks actually work - A practical learning plan: Python → Math → Data Science → ML → DL - How to practice? - When are you ready to apply for jobs in AI? - Other cool stuff that will help you on your journey! 😎 ⏰ Timestamps / Chapters (click to jump!) 🧠 Introduction to ML and DL 01:38 - How AI is different from a regular program? 02:42 - What is Machine Learning? 03:13 - What's the most common Machine Learning Approach in 2025? 03:38 - What's a Deep Learning Algorithm? 04:06 - What's a Neural Network? 04:28 - Why Do We Call Neural Networks "Deep"? (Layers) 05:20 - What is Meant by Training and Inference? 📊 Data Preparation 07:19 - Training Testing and Validation Data Split 08:14 - Samples, Features and Targets ⚠️ Problem Solving 09:00 - Classification, Regression and Clustering Problems 09:28 - What is Clustering? 09:51 - Supervised, Unsupervised and Reinforcement Learning 11:02 - Types of Neural Networks: CNNs, RNNs, Diffusion, Transformers 🛣️ Step by Step AI Learning Roadmap Checklist 12:19 - Learn Basics Python 12:50 - Learn Basics Data Science 13:06 - Learn Math: Probabilities, Matrices, Binary Logic, Predicate Logic 13:17 - Learn Machine Learning 13:43 - Learn Deep Learning 💡Final Advice 13:58 - How to practice? 14:34 - How do you know when you're ready to apply for jobs in AI? 15:14 - Download my AI Learning Checklist for Free 📚 Resources & Next Steps 1. Download AI Learning Checklist (Printable PDF Document): ✅ https://www.pythonsimplified.org/ai-learning-roadmap/ 2. Python Learning: ⭐ My Python Roadmap: https://youtu.be/wFEC7VbWBZo ⭐ My Python Beginners Playlist: https://www.youtube.com/playlist?list=PLqXS1b2lRpYTI2GUM66gNqt690svYsdsD ⭐ Pandas Beginners Guide: https://youtu.be/zN2Hua6oII0 ⭐ Make Graphs with Pandas: https://youtu.be/P4F3PzCMrtk ⭐ NumPy Arrays: https://youtu.be/lLRBYKwP8GQ ⭐ NumPy Operations: https://youtu.be/E1IPJOd7dWQ 3. AI Learning: ⭐ Neural Network Simply Explained: https://youtu.be/i1AqHG4k8mE ⭐ My AI & ML Simplified Playlist: https://www.youtube.com/playlist?list=PLqXS1b2lRpYTpUIEu3oxfhhTuBXmMPppA 💬 If you found this roadmap helpful, please comment where you’re starting from 💌 I’m building the full AI Engineer series to guide you step by step! 📢 This video was made in collaboration with Simplilearn. Thanks for supporting my educational content, allowing it to remain free for everyone! 💪💪💪 💳 Credits - Beautiful Icons by: flaticon.com - Beautiful graphics by: freepik.com #AI #ArtificialIntelligence #MachineLearning #DeepLearning #AIEngineer #Python

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