Neural Networks Courses and Certifications

Artificial Intelligence and Machine Learning: Complete Guide

402 ratings at Udemy

Do you want to study AI and don't know where to start? You will learn everything you need to know in theory and practice

• Udemy
• 22 hours 20 minutes
• Self-Paced
• Paid Course

Machine Learning with Python from Scratch

401 ratings at Udemy

Mastering Machine Learning Algorithms including Neural Networks with Numpy, Pandas, Matplotlib, Seaborn and Scikit-Learn

• Udemy
• 12 hours 38 minutes
• Self-Paced
• Paid Course

Practical Machine Learning for Data Scientists

389 ratings at Udemy

Master practical machine learning fundamentals using Python libraries to build supervised and unsupervised models for classification, regression, and clustering tasks while implementing end-to-end ML pipelines.

• Udemy
• 13 hours 40 minutes
• Self-Paced
• Paid Course

AI/ML Foundations for Absolute Beginners (AgenticAI + MLOps)

385 ratings at Udemy

Build a Solid Conceptual Foundation on Machine Learning, Large Language Models (LLMs) and Agentic AI along with MLOps

• Udemy
• 4 hours 19 minutes
• Self-Paced
• Paid Course

Practical Guide to AI & ML: Mastering Future Tech Skills

386 ratings at Udemy

Artificial Intelligence & Machine Learning: Practical Training for Real-World Applications & Skills Development

• Udemy
• 1 day 7 hours 57 minutes
• Self-Paced
• Paid Course

Machine Learning Optimization Using Genetic Algorithm

377 ratings at Udemy

Learn how to optimize Machine Learning algorithms' performances and apply feature selection using Genetic Algorithm

• Udemy
• 6 hours 33 minutes
• Self-Paced
• Paid Course

Graph Neural Networks - Architectures and Message Passing - Lecture 5

Explore graph neural networks, their connections to MLPs and CNNs, message passing algorithms, and theoretical limitations on expressive power with practical implications.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

Databricks

Building Recommendation Systems Using Graph Neural Networks

Explore graph neural networks for recommendation systems, focusing on RECKON's encoder-decoder architecture to improve entity intelligence and personalize user experiences.

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

Databricks

Listening at the Cocktail Party - Deep Neural Networks for Speech Separation

Explore deep neural networks for speech separation, focusing on data preparation, network architectures, and real-time implementation on embedded devices for smart audio applications.

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

Institute for Advanced Study

Optimization Landscape and Two-Layer Neural Networks - Rong Ge

Explore optimization landscapes and two-layer neural networks, focusing on non-convexity, saddle points, and symmetric distributions in theoretical machine learning.

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

Simons Institute

Flexible Neural Networks and the Frontiers of Meta-Learning

Explore cutting-edge approaches in meta-learning and flexible neural networks for rapid skill acquisition in AI agents, with applications in few-shot image classification and real-world scenarios.

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

MITCBMM

Differences Between Neural Networks and the Brain

Explore the similarities and differences between neural networks and the brain in this panel debate featuring leading experts in neuroscience and artificial intelligence.

• YouTube
• 1 hour 15 minutes
• Self-Paced
• Free Video

MITCBMM

Learning About the Physical World - Comparing Humans, Deep Neural Networks, and Probabilistic Programs

Explore intuitive physics and psychology in human cognition, comparing it with AI approaches like deep neural networks and probabilistic programs for understanding the physical world.

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

MITCBMM

Learning in Recurrent Neural Networks

Explore recurrent neural networks, covering continuous and spiking models, effective connectivity, and philosophical implications in computational neuroscience.

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

Aleksa Gordić - The AI Epiphany

Do Vision Transformers See Like Convolutional Neural Networks - Paper Explained

Explore the differences between Vision Transformers and CNNs, examining feature learning, receptive fields, data impact, and architectural elements for a deeper understanding of these AI models.

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