AI courses

2023 Courses

LinkedIn Learning

Use Copilot AI for Secure Work Data in Your Organization

Use Copilot AI for Secure Work Data in Your Organization | LinkedIn Learning Learn to use Copilot AI to securely get answers to questions about your files, teammates, messages, and meetings. Enhance your skills with expert-led courses available on LinkedIn Learning. Enroll today and discover the benefits of integrating AI into.

Udemy

【ChatGPT解説付き】【現役AIコンサルが教える】1時間半で「AIの活かし方の基本」が学べる速修コース（文系対応型）

【ChatGPT解説付き】【現役AIコンサルが教える】1時間半で「AIの活かし方の基本」が学べる速修コース（文系対応型）現役のAIコンサルとして大手企業の案件もこなしてきた講師が、AI初心者のためにAIの基礎知識を１時間にまとめました。AIの基本を理解することで、どこまでをAIに頼るべきか、どう活かすべきかの道筋が短時間で身に付きます。 University: Udemy.

Microsoft Learn

AI security fundamentals

AI Security Fundamentals Enhance your knowledge of AI security with our comprehensive course provided by Microsoft Learn. This course is tailored for those keen on mastering the fundamentals of AI security, implementing effective security controls, and conducting rigorous AI security testing. Module 1: Fundamental concepts of AI security Af.

LinkedIn Learning

Leveraging Cloud-Based Machine Learning on Azure: Real-World Applications

Leveraging Cloud-Based Machine Learning on Azure: Real-World Applications Course Title: Leveraging Cloud-Based Machine Learning on Azure: Real-World Applications Description: Learn the basics of leveraging Microsoft Azure for AI-based applications, including key tools and the processes for using them correctly. Provider: LinkedIn Learning Catego.

LinkedIn Learning

Microsoft Copilot for Productivity by Microsoft and LinkedIn

Microsoft Copilot for Productivity by Microsoft and LinkedIn Copilot in Microsoft 365 can help you work smarter, faster, and more efficiently with the tools you use every day. In this learning path, you'll discover how to leverage Copilot across the most-used tools in the Microsoft 365 suite: Word, Excel, Outlook, PowerPoint, and Teams. Learn h.

Waseda University

Deep Learning for Bioscientists

Elevate your research with deep learning Deep learning, a popular branch of machine learning, enables computers to process data like the human brain, using similar approaches to how we believe our brains process information, to help with solving complex problems and generating highly accurate insights. On this five-week course, you’ll develop esse.

France Université Numerique

The AI Odyssey- History, Regulations and Impact: A European Perspective

Description Préparez-vous à entrer dans le royaume extraordinaire de l'Intelligence Artificielle et à assister à la magie de l'IA se déployer sous vos yeux. Que vous soyez un explorateur en quête de l'inconnu ou un néophyte face aux merveilles de la technologie, joignez-vous à nous pour un voyage épique. À travers quatre axes spécifiques et de.

University of Leeds

How to Get Into Robotics

How to Get Into Robotics Robotics is transforming industries and shaping the future of technology. This comprehensive course from the University of Leeds delves into the foundational concepts and practical applications of robotics, preparing you for a thriving career in this exciting field. On the course, you’ll explore the dynamic world of roboti.

Coursera

GenAI for Data Scientists

GenAI for Data Scientists GenAI for Data Scientists is tailored for professionals eager to integrate Generative AI (GenAI) into their data science practices. This introductory course simplifies the complex realm of GenAI, illustrating its remarkable impact on data analysis, predictive modeling, and more. You will gain a thorough understanding o.

Coursera

Fine-tuning Language Models for Business Tasks

Fine-tuning Language Models for Business Tasks This course demystifies the concept of "LLM fine-tuning" and its critical applications in the business world. In the context of rapidly evolving AI technologies, understanding how to fine-tune Large Language Models (LLMs) is essential for businesses to stay competitive. The course covers foundationa.

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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!