Join

Neural Network Courses

395 Courses

California Institute of Technology Udemy

Become a TensorFlow Certified Professional Developer

Elevate your AI expertise with our immersive training program designed to prepare you as a TensorFlow Certified Developer. Offered by Udemy, this course provides an unparalleled opportunity to sharpen your skills in various key AI domains. Whether you're delving into Machine Learning, diving deep into Neural Networks, or exploring the intricac.
course image
California Institute of Technology Udemy

Complete PySpark & Google Colab Primer For Data Science

Master the art of building machine learning and neural network models using PySpark and Google Colab with this comprehensive primer. Perfectly suited for aspiring data scientists, this Udemy course covers essential topics including machine learning, big data, deep learning, and more. Discover how to efficiently process data and perform stati.
course image
California Institute of Technology Udemy

Machine Learning for Interviews & Research and DL basics

course image
California Institute of Technology Udemy

End to End Data Science Practicum with Knime

Embark on an informative journey into the world of data science with our "End to End Data Science Practicum with Knime" offered by Udemy. This course empowers you to master key data science concepts and techniques using Knime, supported by practical hands-on examples. Whether your interest lies in data visualization, regression analysis, clust.
course image
California Institute of Technology Udemy

Advanced Stable Diffusion with ComfyUI and SDXL

Unlock the future of design with our Advanced Stable Diffusion course, featuring cutting-edge tools like ComfyUI, SDXL, and Stable Diffusion 1.5. Dive into the world of generative AI and enhance your creative projects with advanced AI-powered techniques. This Udemy course is perfect for aspiring designers and technologists looking to stay ah.
course image
California Institute of Technology Udemy

Advanced Reinforcement Learning in Python: from DQN to SAC

course image
California Institute of Technology Udemy

Machine Learning Essentials - Master core ML concepts

Explore Udemy's comprehensive course to embark on your Machine Learning journey. Master the fundamental mathematics behind key algorithms and gain hands-on experience by implementing them in Python. Course Highlights: Introduction to essential Machine Learning concepts Dive deep into mathematical foundations for robust understanding Hand.
course image
California Institute of Technology Udemy

Artificial Intelligence and Machine Learning: Complete Guide

Artificial Intelligence and Machine Learning: Complete Guide Are you eager to dive into the world of Artificial Intelligence but unsure where to begin? Our comprehensive guide is designed just for you. You will learn everything you need to know in both theory and practical application. Offered by Udemy, this course covers a wide range of catego.
course image
California Institute of Technology Udemy

Artificial Intelligence with Machine Learning, Deep Learning

Delve into the world of Artificial Intelligence with our comprehensive course on Machine Learning and Deep Learning using Python. Learn to harness the power of Transfer Learning and frameworks like TensorFlow to take your AI skills to the next level. Perfect for anyone looking to deepen their understanding of Neural Networks and beyond.
course image
California Institute of Technology Udemy

Artificial Intelligence for Simple Games

Unlock the potential of AI with our engaging course on Artificial Intelligence for Simple Games at Udemy. Dive into the world of Deep Reinforcement Learning by working with easy-to-understand game scenarios. In this course, you’ll gain hands-on experience with state-of-the-art AI tools and technologies. We cover a range of topics including Q.
course image

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!