Online Deep Learning With Python Courses & Certifications

Deep Learning with Python and PyTorch by edX is part of a two-part series on developing Deep Learning models using Pytorch. The first course in the series is titled ‘PyTorch Basics for Machine Learning’, and it covers the basics of PyTorch. Hence, you must have completed the first course to understand this programme thoroughly.

Furthermore, the Deep Learning with Python and PyTorch course syllabus aims to teach how to build deep neural networks. You will learn methods such as initialisation, dropout, batch normalisation and different types of optimisers. The programme will further explore concepts like data whitening, deep autoencoders, shallow autoencoders, autoencoder applications, etc. After you are done with all the modules, you can test your skills through the final independent project.

The Deep Learning with Python and PyTorch certification falls under the subject of Data Analysis and Statistics. This is a six-week-long intermediate-level course that will not explain things from scratch. Thus, you must have prior knowledge and interest in the field of machine learning. There are two options to join the programme, namely, verified and free audit. In the verified mode, the learners will have unlimited access to the self-paced course and in the free mode, they will have access only for a limited period. 

The Deep Learning on Azure with Python: Reinforcement Learning programme is aimed at introducing you to reinforcement learning (RL). You will use Python in Microsoft Azure to explore its relevant formal notation and various RL techniques. During this course, you will understand how RL uses Artificial Intelligence (AI) to solve complicated problems that involve numerous decisions.

During the Deep Learning on Azure with Python: Reinforcement Learning certification course, you will also discover how RL is implemented in neural networks to create more refined algorithms. Furthermore, you will study common relational algorithms like temporal difference learning and dynamic programming algorithms. The curriculum will also cover Bandits, Policy Gradient, Approximate Solution Methods, and Actor-Critic RL that Works.

The Deep Learning on Azure with Python: Reinforcement Learning training will make you skilled to implement the RL methods in Microsoft’s Azure Cognitive Services. This six-week-long online course is curated by CloudSwyft Global Systems. You also have the option to receive a course completion certificate at the end of this programme.

The Deep Learning on Azure with Python certification course is a five-week-long online programme designed to help you develop the critical skills required of a Machine Learning Engineer. You will understand the intricate workings of Deep Learning during this programme. You will also know about the Data Science skills needed to build Machine Learning (ML) models.

Throughout the Deep Learning on Azure with Python online programme offered by FutureLearn, you will explore how ML enables you to build complex systems. Also, you will know about its broad spectrum of applications, including medical diagnosis, self-driving cars, etc.

For building ML models during FutureLearn’s Deep Learning on Azure with Python online course, you will use Microsoft Cognitive Services on the MS Azure cloud platform. Python programming shall be used for this purpose. You will get hands-on experience and a thorough introduction to the field of Machine Learning with practical examples. Moreover, by obtaining the course certificate, you can prove to your future employers that you are job-ready and skilled in this field. 

The Deep Learning on Azure with Python: Introduction to Deep Learning online course is about deep learning in the discipline of Python and Machine learning. The programme is hundred percent online and is available on the website of Future Learn. Participants will be aware of the several types of neural networks, deep learning framework, automating functions. 

The Deep Learning on Azure with Python: Introduction to Deep Learning certification course aims to provide theoretical as well as a practical learning of the course for a better understanding of the concepts. The course can be pursued in the self-paced mode and allows the user to enjoy the liberty of choosing their own study schedules according to their preferences. 

Students are expected to complete the Deep Learning on Azure with Python: Introduction to Deep Learning certification syllabus in one month. If the student spends a minimum of five hours a week, he or she will be able to understand the concepts in the stipulated time. If the student becomes successful in completing the course entirely, he or she will be eligible for a professional certificate of the programme.

The deep learning with python online course is developed and offered by the online education provider Analytixlab for the students who wish to upskill themselves with the deep learning skills and technologies that drive state-of-the-art applications in the domain of artificial intelligence.

The course is scheduled for the candidates with the knowledge of fundamentals of data science and Python programming language and will take a hundred and thirty hours to complete the program.

The course training consists of twenty classes and the students are allowed to work with ten assignments and projects to exhibit the theoretical knowledge and concepts gained during the exploration of the artificial intelligence and deep learning domain in data science. 

The deep learning with python training enables the students to gain expertise in deep learning and the candidates are provided with a dual certification by Analytixlab partnered with the International Business Machines Corporation and continuous support in finding job opportunities.

The Machine Learning, Data Science, and Deep Learning with Python online course is a 15.5 hours on-demand course provided by Udemy. The course teaches about Keras and Tensorflow that are used to create artificial neural networks. The course also teaches about deep learning that may be used to classify data, pictures, and feelings.

Machine Learning, Data Science, and Deep Learning with Python training teachers to use linear regression, multivariate regression, and polynomial regression to make predictions. The course teaches about Seaborn and MatPlotLib that are used to visualize data. Candidates will learn to deploy machine learning at a huge scale with Apache Spark's MLLib.

The Machine Learning, Data Science, and Deep Learning with Python syllabus covers the use of Support Vector Machines (SVM), K-Means clustering, KNN, Naive Bayes, PCA, and Decision Trees to classify data. The course teaches to develop a movie recommendation system that combines user-based and item-based collaborative filtering.

Natural Language Processing with Deep Learning in Python online certification was created by Lazy Programmer Inc., Artificial Intelligence and Machine Learning Engineer, Lazy Programmer Team, and is offered through Udemy Inc. which is an online learning platform, that helps individuals progress in their careers.

Natural Language Processing with Deep Learning in Python online course will teach how the GloVe method uses matrix factorization to find word vectors, using recurrent neural networks to solve natural language processing problems such as part-of-speech tagging and named entity recognition, as well as gain an understanding of how neural networks solve almost any problem, and how to use recursive neural networks to solve the sentiment analysis negation problem

Natural Language Processing with Deep Learning in Python online training is designed for individuals who are familiar with programming and have some experience in it as this course comes with prerequisites such as calculus, matrix addition, multiplication, probability, python coding, Numpy coding, neural networks and backpropagation, gradient descent algorithms, coding feedforward neural network in Theano or TensorFlow, coding recurrent neural network / LSTM / GRU in Theano or TensorFlow, tree algorithms. The interested learners could enrol on the course by paying the fee. 

Advanced AI: Deep Reinforcement Learning in Python certification course is designed by Lazy Programmer Inc. - artificial intelligence and machine learning engineer and its team which is presented by Udemy, an online learning platform, to assist students to succeed in their occupations.

Advanced AI: Deep Reinforcement Learning in Python online course focuses on the use of deep learning and neural networks in reinforcement learning. The course will teach about the TD Lambda algorithm to deepen the understanding of temporal difference learning, and a particular variety of neural networks called the RBF network, policy gradient method, and deep Q-Learning (DQN), and asynchronous advantage actor-critic (A3c).

Advanced AI: Deep Reinforcement Learning in Python syllabus is designed for individuals who are familiar with programming as this course comes with prerequisites such as college-level calculus, probability, object-oriented programming, python coding, Numpy coding, linear regression, gradient descent, writing ANNs and CNNs in Theano or TensorFlow, Markov decision processes (MDPs) and implement dynamic programming, Monte Carlo, and temporal difference learning to solve MDPs. The interested learners could enrol on the course by paying the fee. 

Deep Learning: Recurrent Neural Networks in Python online certification is a compelling course presented by an inspiring instructor. The cases are well-chosen, demonstrating foundations through fun, creative projects rather than lecturing on abstract concepts. The course is created by Lazy Programmer Inc. - Artificial intelligence and machine learning engineer and presented by Udemy, an ed-tech organization based in the United States that supports students with the greatest and most up-to-date skills through online courses in more than 180 countries.

As the Deep Learning: Recurrent Neural Networks in Python online training involves complex concepts, candidates should have prior knowledge of the following topics to get the most out of the course: matrix addition, multiplication, basic probability, python coding, Numpy coding, matrix, and vector operations, loading a CSV file. The course also provides 12 hours of prerecorded English lectures and an article for understanding the topics at their own pace.

Deep Learning with Python and Keras online course is a short-term course developed by Data Weekends - Learn the essentials of Data Science in just one weekend, Jose Portilla - Head of Data Science, Pierian Data Inc., Instructor and presented by Udemy Inc., an ed-tech firm aimed at providing of online courses for professionals and beginners across 180 countries.

Deep Learning with Python and Keras certification course is intended to give you a thorough understanding of Deep Learning. The course is designed for Python beginners and intermediate programmers and data scientists who want to learn how to apply Deep Learning methods to a variety of situations.

Deep Learning with Python and Keras online training focuses on providing learners with firm ground, not just in theory, but also in coding. Learners will be taught to detect issues that can be solved using Deep Learning, develop a range of Neural Network models, and use cloud computing to boost the training and enhance their performance. 

A deep understanding of deep learning (with Python intro) course is an online programme on deep learning developed by Mike X Cohen, a Neuroscientist, writer and professor. The short certificate programmes help the students to gain the fundamental knowledge of deep learning required to explore advanced and new deep learning concepts and theories. The course curriculum will walk the participants through Math, NumPy, PyTorch, Autoenncoders, Data types and many more aspects of deep learning. 

A deep understanding of deep learning (with Python intro) online course, offered by Udemy, is open for all the folk who are interested to learn deep learning and does not demand any kind of prior experience or knowledge; rather, the course will kick start the concepts including Python, Pytorch etc from the scratch. The students will go through the process of creating artificial neural networks and building models in PyTorch and will master codes of gradient descent and calculus. 

The learners will also get practical exposure through A deep understanding of deep learning (with Python intro) certification with many experiences and practical examples etc. Udemy will confer the participants a certificate of completion at the end opening up plenty of opportunities in the field of deep learning that is widely used in many industries such as self-driving cars, medical diagnosis and whatnot. Those who are looking forward to trying a hand in deep learning can join the programme by making the payment.

Data Science: Deep Learning and Neural Networks in Python online certification are developed by Lazy Programmer Inc., artificial intelligence and machine learning engineer, and offered by Udemy Inc., a US-based online learning platform to help individuals boost their careers. The course is designed for individuals who are interested in mastering their skills in deep learning, machine learning, and data science. 

Data Science: Deep Learning and Neural Networks in Python online course will teach the learners to use deep learning techniques to create their artificial neural network,  fundamental building blocks of neural networks, and use Python and Numpy to create full-fledged non-linear neural networks right away. 

Data Science: Deep Learning and Neural Networks in Python online training are focused on the professionals with a background in programming as the course come with some prerequisites such as knowledge of calculus (taking derivatives), matrix arithmetic, probability, python coding, NumPy coding, linear regression, and logistic regression. candidates can also avail discounts at the time of checkout, if available.