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Learn Deep Learning online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
Universidad de los Andes
El aprendizaje profundo actualmente es una parte central de la inteligencia artificial contemporánea, y se refiere al proceso realizado por los computadores para aprender de la experiencia permitiendo describir abstracciones complejas a partir de conceptos más simples de forma jerárquica. Este curs…
EDUCBA
Discover how deep learning can be applied to stock price prediction by building a Recurrent Neural Network (RNN) with Long Short-Term Memory (LSTM) layers in Python. This hands-on course guides you through the complete workflow, from setting up your development environment and preparing financial d…
Whizlabs
Fundamentals of Deep Learning is a structured course designed for developers, data professionals, and AI enthusiasts who want to build a strong foundation in neural networks and modern deep learning techniques. This course focuses on core deep learning principles, including how artificial neurons w…
Università di Napoli Federico II
Python per la Data Science è un corso cruciale per qualsiasi professionista che voglia analizzare grandi quantità di dati attraverso le più recenti tecniche di machine Learning e Deep learning. Il core del corso è rappresentato dall’utilizzo dei notebook: una nuova forma di fruizione dei contenuti…
EDUCBA
Build a strong foundation in machine learning, deep learning, and TensorFlow through a structured, hands-on learning experience that takes you from core concepts to practical model development. In this course, you will learn how machine learning works, explore real-world applications across industr…
EDUCBA
By the end of this course, learners will be able to analyze structured datasets, prepare features for machine learning, build and evaluate neural network regression models, and apply regularization techniques to improve predictive performance. They will gain hands-on experience transforming raw car…
EDUCBA
By the end of this course, learners will be able to analyze core deep learning architectures, apply neural networks to visual data, and evaluate computer vision techniques for real-world problem solving. Learners will develop the ability to interpret how models learn from images, select appropriate…
EDUCBA
By the end of this course, learners will prepare image and text datasets, construct classification models, train neural networks, evaluate model performance, and apply transformer architectures for text generation. This practical course explores two major applications of deep learning: computer vis…
EDUCBA
Build practical deep learning skills and learn to build, train, evaluate, and optimize neural networks with PyTorch. You’ll begin by distinguishing machine learning from deep learning and exploring perceptrons, neural networks, and their role in real-world AI systems. You’ll then set up Jupyter Not…
EDUCBA
Build practical face recognition skills with Keras, convolutional neural networks (CNNs), MTCNN, and FaceNet. Designed for learners who want hands-on experience in computer vision and deep learning, this project-based course guides you through building a complete face detection and recognition syst…
EDUCBA
Build practical TensorFlow skills by progressing from core concepts to a real-world face mask detection application. You’ll begin by installing and configuring TensorFlow with Python, then explore data types, variables, tensor operations, sessions, linear models, and model execution. With this foun…
EDUCBA
Build practical sentiment analysis skills using Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM) networks, Keras, and Python. Designed for learners who want hands-on experience with deep learning for Natural Language Processing (NLP), this project-based course guides you through clas…
EDUCBA
Build a strong foundation in deep learning with PyTorch through a practical, step-by-step introduction to artificial intelligence, machine learning, and neural networks. Designed for beginners and aspiring AI, deep learning, and data science professionals, this course helps you understand how machi…
EDUCBA
Build practical image classification skills using Keras, convolutional neural networks (CNNs), transfer learning, and Google Colab. Designed for learners seeking hands-on experience with deep learning, this project-based course guides you from environment setup and dataset preparation to model trai…
EDUCBA
Build practical machine learning and deep learning skills with TensorFlow through a structured path from data preparation to neural network development. You’ll begin by transforming raw data through feature encoding, custom preprocessing, and feature engineering, then apply linear regression techni…
EDUCBA
Build a real-world mask detection application with Python, OpenCV, TensorFlow, and AWS. In this hands-on, project-based course, you’ll learn the complete computer vision workflow, beginning with reading, writing, resizing, cropping, and annotating images. You’ll then use Haar Cascade classifiers to…
EDUCBA
By the end of this course, learners will be able to explain core deep learning concepts, analyze neural network architectures, apply activation and optimization techniques, and implement end-to-end deep learning models using TensorFlow and Keras. Learners will also be able to prepare datasets, iden…
EDUCBA
Build an end-to-end automatic image captioning system with TensorFlow and bring it to life through an interactive Streamlit application. This course is designed for learners interested in AI development, machine learning engineering, and applied data science who want practical experience connecting…
EDUCBA
By the end of this course, learners will develop attention-based translation models, implement encoder-decoder architectures, evaluate NLP pipelines, predict outcomes from tabular data, and design recommender systems. This advanced course extends deep learning beyond basic image and text classifica…
EDUCBA
Build a practical foundation in deep learning with R as you progress from data preparation to neural network testing and prediction. Designed for learners new to machine learning and those ready to expand into deep learning, this course shows you how to organize dataframes, configure working direct…
