Hey,
I've been quiet for a while, and this is why.
My Deep Learning Bootcamp is now live on Udemy. Months of recording, building notebooks, drawing out every concept by hand, and debugging projects until they actually worked — it's all in there.
And because you're on this list, you're getting it before anyone else, at a price I'm not offering publicly.
👉 Claim your launch offer here:
https://www.udemy.com/course/deep-learning-bootcamp-pytorch-tensorflow-deployment/?couponCode=SIDDL399VIPSEP26
(The coupon is already applied — just open the link.)
⏳ This link works for 5 days only. After that it expires and the course goes to its regular price. No extensions, so grab it while it's live.
What's inside
This isn't a theory course. Every concept is taught the way I teach on YouTube — visually, from scratch, with handwritten notes — and then immediately turned into a project you build yourself.
Neural network foundations — activations, loss functions, optimizers, regularization, weight initialization. The stuff most courses skip past.
Both frameworks, side by side — every core project built in TensorFlow/Keras and PyTorch, so you're never locked into one.
CNNs & computer vision — MNIST, chest X-ray pneumonia detection, cat vs dog transfer learning, scene classification with EfficientNet.
RNNs, LSTMs & Transformers — sentiment analysis with SimpleRNN, then LSTM, then fine-tuning BERT for emotion classification. You'll see exactly why each one beats the last.
Deployment (the part nobody teaches) — FastAPI inference APIs, Streamlit frontends, Git/GitHub, and deploying to AWS EC2.
Capstone projects — a Vision Classifier Studio and a Text Classifier Studio you can put straight on your resume.
If you've done my ML course, this is the natural next step. If you're starting fresh, everything is built assuming you know Python and nothing more.
See you inside 🙂
Siddhardhan
Sid Academy