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Neural Network Courses

395 Courses

California Institute of Technology Udemy

Generative AI and LLM with Python: Plus Real-World Projects

Enhance your skills by diving into the realm of Generative AI and LLM with Python, integrating real-world projects to showcase the power of modern AI technologies. This course, offered by Udemy, provides you with the expertise to create advanced digital artworks, texts, soundscapes, and videos by applying techniques such as Diffusers, GPT, Tra.
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California Institute of Technology Udemy

[NEW] AWS Certified AI Practitioner AIF-C01

Prepare for the AWS Certified AI Practitioner AIF-C01 exam with Jairo Pirona’s comprehensive course. This Udemy course offers a complete overview of all necessary topics, along with a practice exam to ensure you're ready to pass. Gain valuable insights into Artificial Intelligence, Machine Learning, Computer Vision, and Neural Networks, with.
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California Institute of Technology Udemy

AI Professional - ChatGPT & Beyond For Work

Unlock the potential of AI in your professional life with the comprehensive course on "AI Professional - ChatGPT & Beyond For Work." Presented by Udemy, this course offers a detailed approach to mastering powerful AI tools like ChatGPT and Copilot. Perfect for those in Artificial Intelligence, Machine Learning, and Neural Networks sectors, th.
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California Institute of Technology Udemy

CompTIA AI Essentials: Fundamentals for Business/Tech + QAs

Welcome to the CompTIA AI Essentials course: Fundamentals for Business and Tech professionals. This comprehensive guide is designed for non-technical professionals who are eager to deepen their understanding of AI concepts, applications, and ethics. Offered by Udemy, this course is perfect for those preparing for the CompTIA AI Essentials Ex.
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California Institute of Technology Udemy

Master AI & Business Strategy: 100 Lessons For Everyone

Dive into the essential world of AI with "Master AI & Business Strategy: 100 Lessons For Everyone" offered on Udemy. Gain comprehensive insights into machine learning, cybersecurity, neural networks, and more to empower your business strategy. In this course, learners will navigate through the intricacies of machine learning, understand the.
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California Institute of Technology Udemy

PyTorch for Deep Learning Bootcamp: Zero to Mastery

Elevate your understanding of Deep Learning with the PyTorch for Deep Learning Bootcamp: Zero to Mastery. Offered by Udemy, this comprehensive course is designed for individuals eager to dive into the world of Machine Learning using the powerful PyTorch library developed by Facebook. Gain hands-on experience with practical examples that cover.
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California Institute of Technology Johns Hopkins University

Introduction to Neural Networks

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California Institute of Technology Udemy

Generative AI for .NET Developers with Azure AI Services

Unleash the potential of modern technology by learning to create intelligent .NET applications using the formidable capabilities of generative AI. This Udemy course, "Generative AI for .NET Developers with Azure AI Services," offers an in-depth exploration into integrating AI modules into your projects. Dive into machine learning, neural netw.
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California Institute of Technology Udemy

Python in 3 Hours! [+ Machine Learning & Deep Learning]

Join our intensive course and switch to Python in just three hours! Dive into the fundamentals of Machine Learning and embark on your journey by developing Deep Learning models using TensorFlow. This streamlined curriculum is perfect for beginners and those looking to upskill quickly. Learn and apply essential tools like Matplotlib, NumPy,.
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California Institute of Technology Johns Hopkins University

Core Concepts in AI

The "Core Concepts in AI" course is your gateway to mastering artificial intelligence (AI) and machine learning (ML). Designed by Johns Hopkins University and available on Coursera, it provides a comprehensive foundation in AI, helping you understand, evaluate, and implement AI systems effectively. Throughout the course, gain a clear grasp of.
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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!