Deep Learning Courses and Certifications

5 Minutes Engineering

Complete Deep Learning in 5 Hours Explained in Hindi

1 rating

Master deep learning fundamentals through advanced architectures in Hindi - from neural networks and CNNs to RNNs, GANs, and transformers with practical Python implementation.

• YouTube
• 4 hours 41 minutes
• Self-Paced
• Free Video

Deep Reinforcement Learning in Python

294 ratings at DataCamp

Discover the cutting-edge techniques that empower machines to learn and interact with their environments.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Nvidia Deep Learning Institute;  Unity Career Certificate

Deep Reinforcement Learning

357 ratings at Udacity

Build intelligent agents with deep reinforcement learning using value- and policy-based methods, Q-networks, experience replay, multi-agent techniques, Python, PyTorch, and C++.

• Udacity
• 83 hours
• Self-Paced
• Paid Course

Andrej Karpathy

Building Makemore - Activations & Gradients, BatchNorm

Explores how activation and gradient statistics reveal training problems in multilayer perceptrons, then uses initialization and BatchNorm to stabilize deep network training.

• YouTube
• 1 hour 56 minutes
• Self-Paced
• Free Video

Intro to Deep Learning

50 ratings

Build on machine learning to train deep networks: optimize logistic classifiers with SGD, Momentum and AdaGrad, then design convolutional nets, text embeddings and LSTM models.

• Udacity
• 12 weeks
• Not Currently Offered
• Free Online Course

Deep Learning for Computer Vision

1 rating

A deep dive into neural-network methods for computer vision, with hands-on implementation, training, debugging, and fine-tuning for image classification and object detection.

• YouTube
• 1 day 2 hours
• Self-Paced
• Free Video

Nvidia Deep Learning Institute;  Affectiva Career Certificate

Computer Vision

6 ratings

Build computer vision programs that extract image features, classify and caption images, and track objects using deep learning.

• Udacity
• 37 hours
• Self-Paced
• Paid Course

Introduction to Computer Vision

7 ratings

This course provides an introduction to computer vision including fundamentals, methods for application and machine learning classification.

• Udacity
• 36 hours
• Self-Paced
• Free Online Course

3Blue1Brown

Visual Introduction to Transformers and GPTs - Deep Learning Chapter 5

A visual walkthrough of how a GPT transformer turns embeddings into predictions and generates text by sampling and repeating.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Aladdin Persson

PyTorch Tutorials - Complete Deep Learning Course from Basics to Advanced Applications

A sprawling PyTorch tutorial playlist moves from tensor basics to implementing vision architectures and generative models from scratch, with separate tracks for machine translation and transformers.

• YouTube
• 1 day 41 minutes
• Self-Paced
• Free Video

Sequence Models

31293 ratings at Coursera

Build and train RNNs, GRUs, and LSTMs for character-level language modeling, word embeddings, attention mechanisms, and HuggingFace transformers applied to named entity recognition and question answering.

• Coursera
• 4 weeks, 9 hours a week
• Self-Paced
• Paid Course

Deep Learning in Life Sciences - Spring 2021

1 rating

Deep learning architectures and generative models applied to genomics, drug design, protein folding, pathology, imaging, health records, and neuroscience.

• YouTube
• 1 day 7 hours
• Self-Paced
• Free Video

Nicholas Renotte

Build a Deep Audio Classifier with Python and Tensorflow

Build a TensorFlow CNN that converts audio waveforms into spectrograms, classifies bird calls, counts detections in recordings, and exports results to CSV.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

Valerio Velardo - The Sound of AI

Implementing a Neural Network for Music Genre Classification

Implement a TensorFlow neural network that classifies music genres from MFCC features.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

Information Theory of Deep Learning - Naftali Tishby

Explains deep neural network learning through the Information Bottleneck, linking input compression and mutual information to generalization and accuracy.

• YouTube
• 1 hour 25 minutes
• Self-Paced
• Free Video