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Neural Network Courses

395 Courses

California Institute of Technology New York University (NYU)

Digital Marketing Tools: Machine Learning and AI

Join the NYU course on Coursera and discover the impact of machine learning and AI on digital marketing. This dynamic course offers businesses the skills to automate decision-making and predict customer behavior using advanced tools. Explore powerful techniques to optimize marketing efforts in real-time and gain insights into machine lear.
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California Institute of Technology CourseHorse

AI for Python (Live Online)

Embark on a transformative learning journey with our AI for Python (Live Online) course, designed for both beginners and those with intermediate Python skills. This hands-on course covers essential AI concepts, providing you with the expertise to integrate AI into your projects. Throughout the course, engage in a blend of theoretical unders.
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California Institute of Technology Johns Hopkins University

Foundations of Neural Networks

Foundations of Neural Networks - Specialization by Johns Hopkins University This Specialization by Johns Hopkins University, available on Coursera, is tailored for post-graduate students aiming to advance their expertise in neural networks and deep learning. The program encompasses three comprehensive courses that delve into the mathematical theo.
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California Institute of Technology CourseHorse

AI & Machine Learning Bootcamp (Live Online)

The Fullstack Academy Artificial Intelligence & Machine Learning Bootcamp is an intensive part-time program designed for current and aspiring data professionals. Over 26 weeks, you'll master both practical and theoretical machine learning concepts using industry-standard tools. Gain proficiency in Python, Keras, and TensorFlow, and qualify fo.
California Institute of Technology Northeastern University

NLP in Engineering: Concepts & Real-World Applications

Join our comprehensive course, "NLP in Engineering: Concepts & Real-World Applications," offered by Northeastern University on Coursera. Dive into the world of Natural Language Processing and explore various techniques and their principles to address engineering problems. This course is tailored to focus on practical implementation skills acr.
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California Institute of Technology Coursera

Introduction to Artificial Intelligence (AI)

Title: Introduction to Artificial Intelligence (AI) Description: Dive into the world of Artificial Intelligence (AI) with this comprehensive course offered by Coursera. Whether you're a complete beginner or looking to brush up on your AI knowledge, this course is designed for you. Learn what AI truly means, delve into its various applications, and.
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provider Coursera
pricing Free Online Course (Audit)
duration 8-9 hours
sessions On-Demand
California Institute of Technology Coursera

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Embark on a transformative journey into the world of AI with the "Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning" course, offered through Coursera. Whether you're a software developer eager to scale AI-powered algorithms or an enthusiast looking to delve into machine learning, this course stands at the f.
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provider Coursera
pricing Free Online Course (Audit)
duration 18 hours
sessions On-Demand
California Institute of Technology Independent

Elements of AI

Discover the world of Artificial Intelligence with the free online course, Elements of AI. Aimed at everyone interested in understanding AI, this course breaks down complex theories without the need for intricate math or programming. Start your journey on May 14, 2018, and delve into what AI really is, its capabilities, and its impact on our daily.
provider Independent
pricing Free Online Course
duration 6 weeks, 5-10 hours a week
sessions On-Demand
California Institute of Technology Coursera

Neural Networks and Deep Learning

Embark on a journey into the realm of artificial intelligence with the first course in the Deep Learning Specialization offered by Coursera. This course lays the foundation by introducing you to the pivotal concept of neural networks and deep learning. Throughout this course, you will uncover the key technological advancements propelling deep learn.
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provider Coursera
pricing Free Online Course (Audit)
duration 25 hours
sessions On-Demand
California Institute of Technology Udemy

Artificial Neural Networks [ Theory & Hands-On ]

Title: Artificial Neural Networks [Theory & Hands-On] Description: Delve into the world of Artificial Neural Networks with this comprehensive course designed for beginners. Learn the foundations of Artificial Neural Networks theory and gain practical experience by building models from scratch using Python and frameworks such as KERAS. What you will.
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provider Udemy
pricing Paid Course
duration 2-3 hours
sessions On-Demand

Who is a neural network developer?

A neural network developer designs and programs hardware and software systems that operate on the principle of the human brain (neural networks).

Introduction to Neural Network Courses

A neural network developer is a programmer who creates software for mathematical models that work on the principle of the nervous system of a living organism.

A neural network is a computer programme built on the model of the structure and functioning of the human brain. Its constituent artificial neurons are tiny mathematical functions that perform computational actions - receive information, process and compare it, and pass it on. A neural network is not programmed in the usual sense of the word once and for all - it learns by loading and constantly processing huge data sets. For this purpose, special algorithms are used, which are created by the neural network developer. As a result, an artificial neural network can compare data, find patterns and on their basis make its own conclusions, classify information, predict events, recognise images, speech.

The task of a neural network developer is to create a programme capable of learning and teach it to learn. Examples of the results of neural network developers' work after neural network courseі include chatbots, voice assistants, text generators, mobile applications capable of recognising faces in photos or emotions in videos, navigation systems for unmanned cars, systems for detecting faults during maintenance, etc.

Career Paths and Learning Paths

Since, by and large, the creation of neural networks is one of the narrow specialisations of a Data Science specialist, the core knowledge of a neural network developer is Big Data science (data modelling, quality assessment of algorithms and prediction models). Also included in the knowledge pool are:

A lot of lectures on neural networks can be found on YouTube. Often after the video, machine learning enthusiasts do a detailed breakdown of the material. There are tutorial applications on the Internet (like artificial neural network course) with ready-made architectures that clearly demonstrate what is happening inside a neural network and give instructions on how to build it into a specific project.

Course Benefits and Features

Let's take a look at the main pluses of the neural networks and deep learning courseі:

These are just some of our advantages.

Enrollment Process

You can email us and sign up for our online lessons now. You can take a deep neural network course on one of the educational platforms. These courses are designed for people with no particular background, so they are suitable for most people. Online training is usually focused on practice - this allows you to quickly build up your portfolio and get a job immediately after training!