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Neural Network Courses

416 Courses

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 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 Udemy

Mastering PyTorch

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California Institute of Technology Coursera

Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs

The NVIDIA-Certified Generative AI LLMs - Associate Specialization is crafted for professionals in AI, machine learning, and deep learning who are eager to sharpen their skills in generative AI and large language models (LLMs). This program is designed to prepare participants to effectively design, build, optimize, and deploy generative AI sol.
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California Institute of Technology Coursera

Mastering AI: Neural Nets, Vision System, Speech Recognition

Embark on your AI journey with the Mastering AI specialization, tailored for both newcomers and experienced professionals. Gain essential skills in artificial intelligence, machine learning, and deep learning to create cutting-edge solutions. Delve into critical concepts such as neural networks, statistical foundations, predictive modeling, a.
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California Institute of Technology CodeSignal

Generative AI - The Next Frontier: Voice, Video, and More

Generative AI - The Next Frontier: Voice, Video, and More Artificial Intelligence Courses Computer Vision Courses Deep Learning Courses Neural Networks Courses Generative AI Courses Speech Synthesis Courses Text to Speech Courses Multimodal AI Courses Discover the exciting possibilities of generative AI as it moves beyond the r.
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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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California Institute of Technology Coursera

(KK) Generative AI with Large Language Models

Coursera Dive into the fundamentals of generative AI with our comprehensive course on Large Language Models (LLMs). This program is designed to equip learners with essential knowledge to deploy generative AI in practical scenarios. Understand the lifecycle of LLM-based generative AI and the key steps involved, including data gathering, model.
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California Institute of Technology Udemy

30 Projects in 30 days of AI Development Bootcamp

Join our intensive 30 Projects in 30 Days of AI Development Bootcamp and gain unparalleled hands-on experience. Dive deep into the essential concepts and practical applications of Artificial Intelligence, Python, and related technologies. Build proficiency in machine learning, computer vision, deep learning, and neural networks using top frame.
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California Institute of Technology Udemy

Speech Recognition with Python

Unlock the potential of speech recognition technology by mastering it with Python. This comprehensive course provides an in-depth understanding, starting from fundamental principles to exploring cutting-edge AI applications. Offered by Udemy, a leader in online education, this course covers essential topics across multiple categories includin.
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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!