Neural Networks Courses and Certifications

Career Certificate

Deep Learning

147174 ratings at Coursera

Master neural networks, deep learning techniques, and their real-world applications. Build and optimize various architectures using Python and TensorFlow to tackle cutting-edge AI challenges in multiple domains.

• Coursera
• 12 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

Constructing and Training Neural Networks

1 rating at Udacity

Master the fundamentals of deep learning by building, training, and evaluating neural networks from scratch using PyTorch, covering architectures, loss functions, optimizers, and performance tuning.

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

Career Certificate

Engineer Neural Networks with PyTorch and Transformers

Master PyTorch neural networks and transformer finetuning with LoRA/QLoRA techniques. Build production-ready models for image, text, and sequential data through hands-on projects.

• Codecademy
• 11 hours
• Self-Paced
• Free Trial Available

Convolutional Neural Networks

Learn to build and apply Convolutional Neural Networks for image processing, including classification, object detection, and segmentation. Explore key architectures, transfer learning, and autoencoders for practical applications.

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

Introduction to Neural Networks in Wolfram Language: Wolfram U Class

Explore neural networks using Wolfram Language, from pre-built models to creating custom networks. Learn data representation, encoders, decoders, and practical applications in image, audio, and language processing.

• Wolfram U
• 2 hours
• Self-Paced
• Free Certificate

Machine Learning & Neural Networks without Libraries – No Black Box Course

Hands-on machine learning course focusing on building a drawing recognition web app. Covers advanced techniques, neural networks, and data analysis without using libraries.

• freeCodeCamp
• 3-4 hours
• Self-Paced
• Free Video

Become an AI Researcher - LLM, Math, PyTorch, Neural Networks, Transformers

Master foundational math, PyTorch, neural networks, and Transformers to build expertise in AI research and understand the technology behind modern LLMs.

• freeCodeCamp
• 3 hours 7 minutes
• Self-Paced
• Free Video

Keras with TensorFlow Course - Python Deep Learning and Neural Networks for Beginners Tutorial

Learn to build and train neural networks using Keras and TensorFlow. Master data processing, CNN creation, fine-tuning, and transfer learning for practical deep learning applications.

• freeCodeCamp
• 2-3 hours
• Self-Paced
• Free Video

Neural Networks with JavaScript - Full Course using Brain.js

Practical introduction to building neural networks using Brain.js, covering various applications from stock prediction to sentiment analysis. Suitable for JavaScript developers seeking hands-on experience.

• freeCodeCamp
• 1-2 hours
• Self-Paced
• Free Video

Fully Connected Neural Networks with Keras

Build and train fully connected neural networks using Keras for various machine learning tasks, including regression, binary classification, and multi-category classification. Learn to optimize, evaluate, save, and deploy models.

• egghead.io
• 39 minutes
• Self-Paced
• Paid Course

Serrano.Academy

A Friendly Introduction to Recurrent Neural Networks

2 ratings

Explore how computers predict and generate sequences using Recurrent Neural Networks. Learn about vectors, neural networks, and practical applications in cooking, weather, and more.

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

Alexander Amini;  MIT

MIT: Recurrent Neural Networks

2 ratings

Explore deep sequence modeling with recurrent neural networks, including LSTMs and attention mechanisms. Learn to tackle challenges like vanishing gradients and long-term dependencies in sequence tasks.

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

Introduction to Artificial Intelligence (AI)

23129 ratings at Coursera

Explore AI fundamentals, applications, and ethical considerations. Learn about machine learning, neural networks, and generative AI. Gain insights into AI's impact on various industries and future career opportunities.

• Coursera
• 12 hours 58 minutes
• Self-Paced
• Paid Course

Career Certificate

IBM Generative AI Engineering

100034 ratings at Coursera

Master generative AI engineering through hands-on projects using Python, transformers, and LLMs. Build real-world applications with BERT, GPT, and LangChain while learning essential skills in NLP, machine learning, and deep learning.

• Coursera
• 24 weeks, 6 hours/week
• Self-Paced
• Paid Course
• 16 courses

Networks Thinking Themselves - The Science of Brain and Knowledge Networks

Explore the interconnected networks in our universe, focusing on brain networks and their role in learning. Discover how network science illuminates knowledge acquisition and neural system development.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video