Deep Learning Courses and Certifications

Data Science Courses

Deep Learning: Historical Background and Course Motivation - Lecture 1

Discover the foundations of deep learning through a comprehensive introduction covering historical context, motivations, and essential background knowledge for beginning your AI journey.

• YouTube
• 1 hour 18 minutes
• Self-Paced
• Free Video

Neural Breakdown with AVB

Kolmogorov Arnold Networks: An Alternative Paradigm for Deep Learning

Dive into an analysis of Kolmogorov Arnold Networks (KAN), exploring how this innovative approach combines the strengths of MLPs and splines to advance deep learning architecture and capabilities.

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

Weights & Biases

Applied Deep Learning Lectures

Master practical deep learning implementation through expert-led lectures covering data management, debugging, research directions, team building, and model deployment strategies.

• YouTube
• 10 hours 3 minutes
• Self-Paced
• Free Video

CodeEmporium

Deep Learning 101 - Zero to Hero for Deep Learning

Discover neural networks from scratch with hands-on implementation, backpropagation, optimizers, loss functions, and advanced techniques like transfer learning and NLP applications.

• YouTube
• 2 hours 29 minutes
• Self-Paced
• Free Video

Harvard CMSA

Graduate Topics in Deep Learning Theory

Explore advanced theoretical foundations of deep learning through graduate-level mathematical analysis and computational principles taught by Harvard CMSA.

• YouTube
• 13 hours 15 minutes
• Self-Paced
• Free Video

Alfredo Canziani

NYU Deep Learning - Fall 2022

Master neural network inference, energy-based classification, and latent variable models through PyTorch implementations and backpropagation techniques.

• YouTube
• 8 hours 30 minutes
• Self-Paced
• Free Video

Fields Institute

Deep Learning - Machine Learning and Dynamical Systems

Explore cutting-edge research connecting deep learning with dynamical systems through expert presentations on neural networks, control theory, and mathematical foundations.

• YouTube
• 4 hours 59 minutes
• Self-Paced
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Theory and Practice of Deep Learning 2024

Explore cutting-edge research on neural network scaling, emergent properties, and the theoretical foundations underlying modern AI breakthroughs like ChatGPT and AlphaFold.

• YouTube
• 19 hours 7 minutes
• Self-Paced
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Multi-Modal Imaging with Deep Learning and Modeling 2022

Explore cutting-edge deep learning and mathematical techniques for processing multimodal microscopy data from electron, X-ray, optical, and scanning probe imaging systems.

• YouTube
• 16 hours 17 minutes
• Self-Paced
• Free Video

Neuro Symbolic

ML Foundations IV - Advanced Deep Learning

Master advanced deep learning concepts including transformers, BERT, GPT models, prompt engineering, reinforcement learning, and neural network optimization techniques.

• YouTube
• 1 hour 42 minutes
• Self-Paced
• Free Video

Data Science Courses

Deep Learning - STAT 940 - Fall 2023

Master neural networks from feedforward architectures to transformers, GANs, and diffusion models in this comprehensive university-level deep learning program.

• YouTube
• 23 hours 31 minutes
• Self-Paced
• Free Video

Hacker's Guide to Deep Learning - Lecture 9

2 ratings

Discover practical tips and opinionated anecdotes for effectively training deep neural networks and optimizing their performance from MIT's expert instructor.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

Open Data Science

Deep Learning Survival Analysis for Consumer Credit Risk Modelling

1 rating

Explore deep learning survival analysis for precise credit risk prediction in consumer lending, combining traditional methods with advanced techniques for improved time-to-event forecasting.

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

Understanding Deep Learning Requires Rethinking Generalization

Explore deep learning generalization, examining regularization techniques, randomization tests, and neural network expressivity to challenge conventional understanding and improve model performance.

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

Meta

New Approaches to Image and Video Reconstruction Using Deep Learning

Explore cutting-edge deep learning techniques for image and video enhancement, including colorization and resolution improvement, using efficient PyTorch-based tools trainable on a single GPU.

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