AI courses

2017 Courses

Advanced Malware and Network Anomaly Detection

The course "Advanced Malware and Network Anomaly Detection" equips learners with essential skills to combat advanced cybersecurity threats using artificial intelligence. This course takes a hands-on approach, guiding students through the intricacies of malware detection and network anomaly identification. In the first two modules, you will gain fou.

Coursera

Building AI Cloud Apps with Microsoft Azure

Building AI Cloud Apps with Microsoft Azure Discover the comprehensive nine-course program, Building AI Cloud Apps with Microsoft Azure, designed to equip you with the skills to develop cutting-edge cloud and AI solutions using Microsoft Azure. Offered by Coursera, this program covers a wide range of topics including Azure Functions, A.

Coursera

Foundations and Core Concepts of PyTorch

Foundations and Core Concepts of PyTorch In this comprehensive course, you'll embark on a journey through the foundational elements and core concepts of PyTorch, one of the most popular deep learning frameworks. Starting with a detailed overview and system setup, you'll be guided through installing and configuring your environment t.

Coursera

Fundamentals of AI, Machine Learning, and Python Programming

Embark on a transformative learning experience designed to equip you with a robust understanding of AI, machine learning, and Python programming. This course begins with a thorough introduction to artificial intelligence and machine learning, demystifying the core concepts and exploring how algorithms and data-driven techniques empower compu.

Northeastern University

Practical AI for Professionals

Practical AI for Professionals Explore key ideas in Artificial Intelligence (AI) while delving into trending developments in the field. This course examines AI tools and frameworks to enable effective and efficient collaboration across technical and non-technical stakeholders. Analyze topics such as AI-enabled perception, representation, reason.

Southern New Hampshire University

The History and Relevance of the Rise of Generative AI

The History and Relevance of the Rise of Generative AI Dive into the fascinating journey of artificial intelligence, from its theoretical beginnings to today's powerful generative models. This course offers a unique perspective on how AI has transformed over decades, highlighting the crucial developments in deep learning that paved the way for mod.

University of Naples Federico II

Explainable AI (XAI)

Explainable AI (XAI) In an era where Artificial Intelligence (AI) is rapidly transforming high-risk domains like healthcare, finance, and criminal justice, the ability to develop AI systems that are not only accurate but also transparent and trustworthy is critical. The Explainable AI (XAI) Specialization is designed to empower AI professionals.

Johns Hopkins University

Introduction to AI for Cybersecurity

Introduction to AI for Cybersecurity "Introduction to AI for Cybersecurity" offers you a comprehensive understanding of how artificial intelligence (AI) is revolutionizing the field of cybersecurity. This course provides an in-depth look at key AI techniques and their applications in bolstering security measures, threat detection, and the safeguar.

Coursera

Innovating with Google Cloud Artificial Intelligence - Español

Innovating with Google Cloud Artificial Intelligence - Español La inteligencia artificial (IA) y el aprendizaje automático (AA) representan una evolución importante en las tecnologías de la información que están transformando rápidamente una amplia variedad de sectores. En el curso “Innovating with Google Cloud Artificial Intelligen.

Pluralsight

AWS Maching Learning and Artificial Intelligence Fundamentals

AWS Machine Learning and Artificial Intelligence Fundamentals Artificial intelligence (AI) and machine learning (ML) are two of the most transformative technologies driving innovation today. This course will teach you the essentials of AI and ML. You probably already know that artificial intelligence (AI) and machine learning (ML) are at the f.

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What is AI course and why is it so interesting?

The topic of artificial intelligence course and machine thinking interested scientists even before the invention of computers, and after the advent of computers it reached a new level. In the 1950s and 60s, issues related to the creation and use of artificial intelligence began to be widely discussed in society.

The answer to this question is also difficult to find because there are no clear criteria for the intelligence of a machine. If this is the ability to make logical conclusions, then the computer has long surpassed humans. When it comes to flexibility and originality of thinking, humans are still superior to even the most modern intelligent devices.

AI is actively used in a variety of fields, the list of which is expanding every year, and not only techies, but also humanists—specialists in project management, advertising and PR, psychologists, economists, and linguists—can find their place in this area.

What can artificial intelligence course programs do?

Modern artificial intelligence technologies make it possible to create devices and programs that:

find the maximum possible solutions to one situation; machine intelligence can quickly analyze all options and calculate which one will be the cheapest, safest, and most effective. The machine’s responses will depend on what task a person has given it. For example, AI courses online can show how to calculate which model or product is more profitable to produce based on data on the cost of consumables and sales volumes.

can answer any questions integrated into their system; at the same time, the machine can not only find a ready-made answer in the database, but also search for it using intermediate leading questions that gradually narrow the search area.

collect and process large amounts of information, analyze it, combine unrelated pieces of information; This is how, for example, the image search system works in Google.

Artificial intelligence is a technology not only of the present, but also of the future, and specialists in this field will not have problems finding employment in the next few decades. Huge investments are already being attracted to this area, which means there will be no problems with remuneration for workers involved in the development, production and implementation of the best AI courses technologies from AI Eeducation.

Contribution to science and culture

Artificial intelligence and the creation of intelligent programs and devices is an area in which new discoveries are constantly being made. By working on artificial intelligence, scientists and engineers are at the forefront of world science, moving humanity forward. In addition, the development of artificial intelligence and its introduction into our lives gives rise to many ethical and philosophical questions, the resolution of which requires not a machine mind, but a human mind capable of creative thinking.

Creation

In the field of creating AI, not only software developers are in great demand, but also people with creative thinking who are able to come up with and promote new ideas. To work in this field, it is important to be able to think outside the box. A separate promising area that a creative person can take up is teaching a machine to create works of art. Already today computers draw pictures, write music and poetry. In the near future, perhaps they will take over the creation of books, films and cartoons.

Mastering new skills

To work in the field of artificial intelligence, you need a good knowledge of mathematics and basic programming. For the study of AI, the two most important branches of mathematics are linear algebra and probability theory. The most popular programming language in this area is Python, followed by R and Lua. Knowledge of the English language will also be useful - the most modern scientific data, articles, reports on achievements and experiments are usually published in English!