Neural Network Courses

426 Courses

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(UPI) Chapter 19: AI in Cybersecurity Course (How To)

Chapter 19 offers insights into the integration of AI techniques, specifically focusing on deep learning models such as Recurrent Neural Networks (RNNs) and Convolutional Neural Networks (CNNs). This module highlights how these models significantly improve malware detection capabilities by analyzing both static and dynamic features, thereby e.
provider Treehouse
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IBM Applied AI Developer

The IBM Applied AI Developer Professional Certificate provides essential skills for aspiring AI developers, perfectly aligning with the 92% of companies planning to boost their AI investments over the coming years (McKinsey). This course equips you with the expertise to create AI-driven applications, virtual assistants, and chatbots, all within a s.
provider edX
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Foundations of AI

In today's fast-paced world, 71% of executives are eager to hire candidates with AI skills, making it crucial to stay informed about the evolving landscape of artificial intelligence. This IBM Professional Certificate is crafted to provide a robust understanding of AI's core principles and practical applications within just 9 weeks. Ideal for profe.
provider edX
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Foundations of AI

Explore the transformative world of Artificial Intelligence (AI), now an integral part of every industry and everyday life. This program, designed for individuals with little to no background in AI, computer science, or data science, aims to build a foundational understanding of AI's impact on organizations and society, enhancing career prospects..
provider edX
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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. Ya seas un profesional, un ejecutivo, un emprendedor o un estudiante, comprender la IA y su impacto en nuestra sociedad es crucial y transformará tu carrera. Este progra.
provider edX
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AI & LLM Engineering Mastery: GenAI, RAG Complete Guide

Embark on a comprehensive journey into the world of AI and LLM Engineering with Udemy's expert-led course, "AI & LLM Engineering Mastery: GenAI, RAG Complete Guide." This course covers everything from the basics to advanced engineering techniques, including fine-tuning of AI models, exploration of retrieval-augmented generation (RAG), and the in.
provider Udemy
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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.
provider edX
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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.
provider edX
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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.
provider edX
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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.
provider edX

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!