AI Engineering Full Course (PyTorch) 2026 UPDATED | Beginner to Advanced | One Shot | Sagar Chouksey

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Learn AI Engineering from scratch using PyTorch in one complete video.
Beginner to advanced concepts, real AI projects, and clear explanations - perfect for anyone who wants to become an AI Engineer.

If you’re searching for AI Engineering full course, PyTorch tutorial, machine learning with PyTorch, deep learning for beginners, or AI projects, this video covers everything from beginner to advanced level in one complete roadmap.

Timestamps:
0:00 – 3:03 → Course Introduction & What You’ll Learn
3:03 – 48:01 → AI Foundations & Prerequisites (What is AI, ML vs DL, Flow, Big Picture, PyTorch Overview, Key Terms)
48:01 – 1:27:53 → PyTorch Tensors & Setup (Installation, Tensor Basics, Shapes, Indexing, NumPy ↔ PyTorch, GPU Usage)
1:27:53 – 2:28:06 → Autograd & Training Models (Automatic Differentiation, Loss Functions, Optimizers, Training Loop)
2:28:06 – 3:54:30 → Neural Networks with nn.Module & DataLoaders (Layers, Activations, MNIST Classifier)
3:54:30 – 4:49:10 → CNNs & Computer Vision (Conv Layers, Transfer Learning, Image Classification Projects)

Tools Used:
Python, PyTorch, NumPy, Matplotlib, CUDA (GPU Acceleration)

Skills You’ll Gain:
Building AI models from scratch using PyTorch
Understanding AI, Machine Learning, and Deep Learning clearly
Training neural networks with real-world workflows
Implementing CNNs for computer vision tasks
Confidence to build job-ready AI projects without math fear

Connect with us:
LinkedIn -   / sagarchouksey4840  
Instagram -   / codingwithsagar  
Telegram - https://telegram.me/sagar4840
Youtube -    / @codingwithsagarcw  
Website - https://codingwise.in/

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