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Neural Network Courses

424 Courses

California Institute of Technology Udemy

Mastering PyTorch

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California Institute of Technology edX

Introduction to AI

Are you curious about how artificial intelligence (AI) really works? Wondering which models power these systems, and how they impact society and the environment? Presented by engineers from Arm, this course offers a comprehensive introduction to AI, machine learning, and data science—shedding light on their historical evolution, current capabilitie.
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California Institute of Technology edX

IBM Applied AI Developer

Discover the transformational impact of artificial intelligence with the IBM Applied AI Developer program. This comprehensive program reshapes our world by guiding students, developers, and consultants through diverse AI applications—from intelligent machine creation to leveraging generative AI models. The program features seven self-paced co.
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California Institute of Technology edX

Foundations of AI

The world of Artificial Intelligence (AI) is no longer science fiction. It is rapidly permeating across all industries and impacting every aspect of our daily life. Whether you are an industry professional, an executive, an entrepreneur, or a student, developing a foundational understanding of AI and its impact on your organization and our societ.
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California Institute of Technology edX

Fundamentos de Inteligencia Artificial

El mundo de la Inteligencia Artificial (IA) ya no es ciencia ficción. La IA está penetrando rápidamente todas las industrias e impactando cada aspecto de nuestra vida diaria. Desarrollar una comprensión fundamental de la IA es crítico y transformará tu carrera profesional. Este programa está diseñado para quienes tienen poca o ninguna experienci.
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California Institute of Technology Udemy

The Complete Course for Generative AI for RPA

Unlock the potential of automation with the "Complete Course for Generative AI for RPA." Dive into the world of Generative AI to elevate your skills in robotic process automation, focusing on efficiency, optimization, and scalability. Enhance your knowledge with Blue Prism, taught by industry experts through Udemy. Category Highlights: Arti.
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California Institute of Technology Udemy

AI for Everyone: Understanding and Applying the Basics

Embark on your AI adventure with our engaging course, 'AI for Everyone: Understanding and Applying the Basics.' This course offers a unique opportunity to dive into the world of Artificial Intelligence without requiring a tech background. Designed for beginners, this comprehensive course covers essential aspects of AI, including Machine Learni.
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California Institute of Technology Udemy

Philosophy and Foundations of Artificial Intelligence (AI)

Join our comprehensive course on the Philosophy and Foundations of AI, brought to you by Udemy. Explore the ethical, logical, and conceptual elements that form the bedrock of artificial intelligence technologies. Gain insights into how these innovations impact society and shape the future. Dive into topics such as algorithmic bias, consciousn.
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California Institute of Technology CodeSignal

Implementing AI Algorithms from Scratch

Embark on an immersive journey into the intricate universe of Artificial Intelligence. This course is meticulously designed to provide you with a profound understanding of classic Machine Learning algorithms by challenging you to implement them from the ground up, without reliance on libraries such as SK-learn. Offered by CodeSignal, this path e.
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California Institute of Technology CodeSignal

Generative AI in 2025 - Overview and Practice

Join us for an in-depth exploration of the transformative power of generative AI in 2025. This course offers a thorough understanding of how generative AI works and its real-world applications, while also delving into future trends and potential limitations. Gain essential insights that will help you expertly navigate an AI-driven future. Wheth.
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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!