Deep Learning Courses and Certifications

Krish Naik

End-to-End Deep Learning Project: Kidney Disease Classification with MLflow, DVC, and Deployment

Build a kidney disease classification project from repository setup through model training, experiment tracking, DVC pipelines, a prediction app, and AWS deployment.

• YouTube
• 4 hours 6 minutes
• Self-Paced
• Free Video

Data Science Courses

PAC Learnability in Deep Learning - Lecture 20

Delve into statistical machine learning fundamentals, exploring PAC learnability concepts and their application in deep learning, with focus on generalization theories and practical challenges.

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

Data Science Courses

Variational Autoencoders and Performers in Deep Learning - Lecture 15

Delve into advanced deep learning concepts including Variational Autoencoders (VAE), variational inference, ELBO computation, and Performer-based Transformer architectures.

• YouTube
• 1 hour 13 minutes
• Self-Paced
• Free Video

Data Science Courses

Deep Learning: Deep Reinforcement Learning and Policy Gradients - Lecture 13

Dive into advanced deep reinforcement learning concepts including policy gradients, REINFORCE algorithm, and their applications in Atari games and Go, taught by Ali Ghodsi.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

Data Science Courses

Deep Learning: Introduction to Reinforcement Learning and Policy Iteration - Lecture 12

Dive into reinforcement learning fundamentals, exploring policy iteration, value iteration, Markov decision processes, and Monte Carlo estimation techniques for advanced AI applications.

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

Data Science Courses

Deep Learning: Transformers and Encoder-Decoder Architecture - Lecture 10

Dive into transformer architectures, exploring encoder-decoder mechanisms and positional embeddings for advanced deep learning applications.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Free Video

Data Science Courses

Deep Learning: BERT and GPT Models - Lecture 11

Dive into the evolution and architecture of transformer models, exploring BERT, GPT series, and T5 to understand their impact on modern natural language processing.

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

Data Science Courses

Attention Mechanism and Self-Attention in Deep Learning - Lecture 9

Dive into attention mechanisms and self-attention concepts in deep learning, exploring their revolutionary impact on NLP and discovering practical applications in sequence models.

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

AI Bites

Quantization in Deep Learning: Types, Algorithms, and Implementation

Explore quantization techniques in deep learning, from uniform to non-uniform approaches, and learn practical implementation strategies for optimizing large-scale neural networks.

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

Anyscale

Ray Train: A Production-Ready Library for Distributed Deep Learning

Ray Train’s architecture and APIs simplify production distributed training, with built-in fault tolerance, resource management, and checkpointing for LLM workloads.

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

Anyscale

Large-Scale Deep Learning Training and Tuning with Ray at Uber

Uber’s case studies show how Ray addresses compute, network, and storage challenges in large-scale deep learning training.

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

ISTA Conference

Multimodality and Data Fusion Techniques in Deep Learning

Compare early, late, and hybrid data fusion approaches for combining audio, video, sensor, and text inputs in deep learning.

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

NDC Conferences

A Gentle Introduction to Deep Learning

A step-by-step introduction demystifies deep learning’s mathematical basics for software developers, with an overview of Azure tools and a discussion of AI ethics.

• YouTube
• 1 hour
• Self-Paced
• Conference Talk

PyCon US

Demystifying Deep Learning for Data Scientists

Learn deep learning foundations without relying on a framework, so you can understand model training and implement models across frameworks.

• YouTube
• 1 hour 10 minutes
• Self-Paced
• Conference Talk

ADC - Audio Developer Conference

Deep Learning for DSP Engineers: Challenges and Tricks for Audio AI

A DSP-centered walkthrough of designing and deploying a real-time deep-learning audio model, from dataset preparation to musical instrument and effect applications.

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