Deep Learning courses

632 Courses

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.

Udemy

Complete guide for ACX for Research & Development

Unlock the full potential of ACX in the realm of research and development with this in-depth course. Whether your interests lie in data generation or prototyping, this comprehensive guide provides the knowledge and tools you need to succeed. Offered on Udemy, this course is perfect for anyone looking to expand their skills in artificial intell.

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.

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.

Delft University of Technology

AI in Practice

Begin by discovering the various advantages and impacts of AI and culminate with a strategic plan for its implementation. Artificial Intelligence (AI) is emerging as a transformative force, much like electricity was over a century ago. Although the full impact on our lives remains to be seen, organizations must begin considering how to integrate AI.

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.

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.

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.

Harvard University

Tiny Machine Learning (TinyML)

Embark on a revolutionary learning journey with the Tiny Machine Learning (TinyML) Professional Certificate, co-created by Harvard University and Google TensorFlow. Dive into the world of TinyML, where machine learning is integrated into tiny devices and embedded systems, demanding expertise in applications, algorithms, hardware, and software..

Udemy

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.

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What is deep learning?

“Deep learning” – literally “deep learning”. This is about artificial intelligence and increasing its abilities through training, based not on artificial codes, but on principles similar to the development of human intelligence. Deep learning methods make it possible to make machines self-learning.

The term itself and developments in this area appeared 40 years ago, but until 2012 they could not be applied in practice, as they were limited by insufficient technical capacity. Now there are already published works by the pioneers of deep learning, and textbooks and training courses in this specialty are gradually appearing.

Deep learning on your fingers: The ability of a machine to find an answer using calculations is called artificial intelligence. A machine can be taught to learn independently by building appropriate algorithms - this is called machine learning. With this approach, coded algorithms will no longer be needed to solve problems. The process of acquiring and using skills imitates human thinking and is called deep learning.

What tasks can be performed using deep learning right now?

If at the dawn of automation machines learned to do mechanical work for humans, now machines are learning to do routine intellectual work for us. The further progress we make, the more tasks we can shift to them, freeing up time for what really matters.

Officially, the main task of deep learning is the automation of complex tasks in various areas of human activity. It's like a computer, only of a different century and a different level.

But of particular interest is the neural network’s assistance in creating programs for solving cognitive problems.

Enough general phrases, let's move on to examples:

Face recognition by the DeepFace system is about 97%, and this result is about the same as that of the average person.

Imitation of human speech by the WaveNet system. This is not reading the text, but composing sentences with accents, without errors in stress and without unnatural pauses.

Making medical diagnoses. For example, determining diabetic retinopathy from photographs of the eyes. The technology is already being used in US medical institutions.

It’s hard to even imagine what awaits us in the future if people outside of IT have just heard about deep machine learning, and it has already produced such amazing results.

Why study deep learning?

To earn twice as much as ordinary IT specialists. Progress in the field of information technology is not just walking, but actually running, and it’s time to benefit from it. The sphere is not yet oversaturated, and oversaturation will not happen soon. Still, creating neural networks is not as simple as filing nails or maintaining Instagram accounts. But now is the time to start studying in order to develop along with your specialty and, perhaps, soon become someone who develops it.

Deep learning courses that currently exist are divided into four categories. Decide for yourself which one is for you:

Trainings are highly specialized classes for practicing specific skills. Suitable for those who need to form an understanding of the basic principles of machine thinking.

Long courses - for AI specialists and those involved in database analysis. Long-term deeplearning ai courses are not for everyone and require patience and time.

University programs - for maximum immersion in the subject. They may be too difficult for beginners, although the application of effort will give results that should not be expected from short courses.

A short best deep learning course on technology in business - general information for managers who will not be doing it themselves, but need to have an understanding of the subject.

You will have to put in a lot of effort, but the result is worth it. Just for fun, you can look at vacancies for deep learning specialists on sites with job offers and evaluate upcoming prospects. Not everyone needs deep learning experience yet, and soon all the sweet jobs will require several years of practice. So, if you have the ability to train soulless machines that are almost equal to us in intelligence, hurry up to take up vacant positions after a deep learning online course from AI Eeducation!