Deep learning courses encourage students to become creative, connected, and collaborative problem solvers. These courses will help to gain knowledge and skills for lifelong learning. So if you want to enhance your learning skills, then, you must take part in one of the best Free Online Deep Learning Courses.
These courses cover the ground from a basic introduction to machine learning, to getting started with Tensor Flow, to designing and training neural nets.
So get started towards your next certificate! These courses are available online and will help you learn and excel at Machine Learning and Deep Learning. Good Luck!!
Table of Contents
Deep Learning
Applicants are invited to be a part of “Deep Learning” free online course developed by Universidad Anáhuac. In this course, you will learn what a neural network is, how to create a neural network, train a neural network with a set of images. Join this course and learn what a neural network is, how to create a neural network, train a neural network with a set of images.
Provider: Universidad Anáhuac
Subject: Computer Science
Duration: 4 weeks
Start Date: Open
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Read More: Best Free Online Microsoft Courses
Deep Learning with Tensorflow
Start your online learning journey with this free online course “Deep Learning with Tensorflow” offered by IBM. Through this course, you will learn the basic concepts of TensorFlow, the main functions, operations, and the execution pipeline. You will also study how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Candidates must have knowledge of both machine learning as well as deep learning concepts.
Provider: IBM
Subject: Data Analysis & Statistics
Duration: 5 weeks
Start Date: Self-Paced
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Deep Learning through Transformative Pedagogy
Enhance your learning skills by joining this free online course provided by the University of Queensland & Microsoft. This course explores deep learning by bringing together the most up-to-date research from cognitive psychology, contemporary educational theories, and neuroscientific perspectives. Don’t miss the chance, enrol as soon as possible.
Provider: University of Queensland & Microsoft
Subject: Education & Teacher Training
Duration: 4 weeks
Start Date: Open
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Read More: Best Free Online Courses at University of Queensland
Applied Deep Learning Capstone Project
The International Business Machines Corporation is presenting this free online course entitled “Applied Deep Learning Capstone Project”. In this capstone project, you will use a Deep Learning library of your choice to develop, train, and test a Deep Learning model. You must have completed all courses in the Deep Learning Professional Certification Program.
Provider: IBM
Subject: Data Analysis & Statistics
Duration: 5 weeks
Start Date: Open
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Deep Learning Fundamentals with Keras
If you are looking to kickstart a career in deep learning, then look no further. This free online course “Deep Learning Fundamentals with Keras” funded by IBM will introduce you to the field of deep learning and teach you the fundamentals. You will also learn how to build your first deep learning model using the easy yet powerful library Keras. This course will help you build the knowledge you need to future-proof your career.
Provider: IBM
Subject: Data Analysis & Statistics
Duration: 5 weeks
Start Date: Self-Paced
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Deep Learning with Python and PyTorch
Grap the opportunity to be a part of the International Business Machines Corporation by enrolling in this free online course entitled as “Deep Learning with Python and PyTorch”. The course will teach you how to develop Deep Learning models using Pytorch while providing the necessary deep-learning background. To become part of this course, you must have knowledge of both machine learning as well as deep learning concepts.
Provider: IBM
Subject: Data Analysis & Statistics
Duration: 6 weeks
Start Date: Open
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Using GPUs to Scale and Speed-up Deep Learning
The International Business Machines Corporation is providing you with a free online course entitled “Using GPUs to Scale and Speed-up Deep Learning”. In this course, you will learn how to use accelerated GPU hardware to overcome the scalability problem in deep learning. You will also deploy deep learning networks on GPU accelerated hardware for several problems, including the classification of images and videos.
Provider: IBM
Subject: Data Analysis & Statistics
Duration: 5 weeks
Start Date: Open
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Neural Networks and Deep Learning
If you want to break into cutting-edge AI, this course “Neural Networks and Deep Learning” will help you do so. In this course, you will learn the foundations of deep learning. This course also teaches you how Deep Learning actually works, rather than presenting only a cursory or surface-level description. So after completing it, you will be able to apply deep learning to your own applications.
Provider: deeplearning.ai
Subject: Data Science
Duration: 4 weeks
Start Date: Open
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Applied AI with Deep Learning
The International Business Machines Corporation is declaring free online course entitled as “Applied AI with DeepLearning”.This course gives you easy access to the invaluable insights into Deep Learning models used by experts in Natural Language Processing, Computer Vision, Time Series Analysis, and many other disciplines. Some coding skills are necessary. Preferably python, but any other programming language will do fine. Also, some basic understanding of math (linear algebra) is a plus.
Provider: IBM
Subject: Data Science
Duration: 4 weeks
Start Date: Open
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Read More: Best Online Data Science Courses on Coursera
An Introduction to Practical Deep Learning
Explore important concepts in Deep Learning by joining this free online course “An Introduction to Practical Deep Learning” created by the Intel. This course provides an introduction to Deep Learning, a field that aims to harness the enormous amounts of data that we are surrounded by artificial neural networks. You will also learn how to apply Deep Learning to various applications.
Provider: Intel
Subject: Computer Science
Duration: 6 weeks
Start Date: Available
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Introduction to Deep Learning
The National Research University-Higher School of Economics is accepting applications for this “Introduction to Deep Learning” free online course. The goal of this course is to give learners a basic understanding of modern neural networks and their applications in computer vision and natural language understanding. To be eligible for this course, you must have a basic knowledge of Python, linear algebra and probability.
Provider: Higher School of Economics
Subject: Data Science
Duration: 6 weeks
Start Date: Open
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Deep Learning in Computer Vision
The National Research University – Higher School of Economics is pleased to announce this free online course named as “Deep Learning in Computer Vision”. The goal of this course is to introduce students to computer vision, starting from basics and then turning to more modern deep learning models. In this course project, you will learn how to build face recognition and manipulation system to understand the internal mechanics of this technology.
Provider: Higher School of Economics
Subject: Computer Science
Duration: 5 weeks
Start Date: Open
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Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
Build a basic neural network in TensorFlow by enrolling in this free online course “Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning” designed by the deeplearning.ai. This course teaches you how to use TensorFlow to implement those principles so that you can start building and applying scalable models to real-world problems. To develop a deeper understanding of how neural networks work, we recommend that you take the Deep Learning Specialization.
Provider: Deeplearning.ai
Subject: Computer Science
Duration: 4 weeks
Start Date: Open
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Deep Learning for Business
The Yonsei University is welcoming interested applicants for enrolling in this free online course entitled as “Deep Learning for Business”. This course was designed to help you build business strategies and enable you to conduct technical planning on new DL and ML services and products. Anyone can join this course.
Provider: Yonsei University
Subject: Business
Duration: 6 weeks
Start Date: Ongoing
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Improving Deep Neural Networks: Hyperparameter tuning, Regularization, and Optimization
Learn new best-practices for the deep learning with this free online course “Improving Deep Neural Networks: Hyperparameter tuning, Regularization, and Optimization” organized by the deeplearning.ai. This course will teach you the “magic” of getting deep learning to work well. You will also understand industry best-practices for building deep learning applications. This course is available to everyone.
Provider: deeplearning.ai
Subject: Data Science
Duration: 3 weeks
Start Date: Open
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Deep Learning Essentials
Would you like to learn how computers can learn tasks that only human brains could perform, we thought? Then take this IVADO, Mila and Université de Montréal Deep Learning course: an extensive summary of the essentials of deep learning, this innovative technology that is already prevalent in our lives and encompasses all sectors. Gain a good understanding of what Deep Learning with this online Deep Learning Essentials course.
Provider: Université de Montréal
Subject: Computer Science
Duration: 5 weeks
Start Date: Open
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| Course Name | University | Cost | Duration | Deadline |
| 1. Deep Learning Explained | Microsoft | Free | 6 weeks | Open |
| 2 Deep Learning with Tensorflow | IBM | Free | 5 weeks | Self-Paced |
| 3. Deep Learning through Transformative Pedagogy | University of Queensland & Microsoft | Free | 4 weeks | Self-Paced |
| 4. Applied Deep Learning Capstone Project | IBM | Free | 5 weeks | Self-Paced |
| 5. Deep Learning with Python and PyTorch | IBM | Free | 6 weeks | Self-Paced |
| 6. Using GPUs to Scale and Speed-up Deep Learning | IBM | Free | 5 weeks | Self-Paced |
| 7. Neural Networks and Deep Learning | deeplearning.ai | Free | 4 weeks | Open |
| 8. Applied AI with DeepLearning | IBM | Free | 4 weeks | Open |
| 9. An Introduction to Practical Deep Learning | Intel | Free | 6 weeks | Available |
| 10. Deep Learning in Computer Vision | Higher School of Economics | Free | 5 weeks | Open |
