AI courses

2918 Courses

Gen AI: Navigate the Landscape

Gen AI: Navigate the Landscape is the third course of the Gen AI Leader learning path. Gen AI is changing how we work and interact with the world around us. But as a leader, how can you harness its power to drive real business outcomes? In this course, you explore the different layers of building gen AI solutions, Google Cloud’s offerings, and the.

Google Cloud Skills Boost

Gen AI: Unlock Foundational Concepts

Gen AI: Unlock Foundational Concepts is the second course of the Gen AI Leader learning path. In this course, you unlock the foundational concepts of generative AI by exploring the differences between AI, ML, and gen AI, and understanding how various data types enable generative AI to address business challenges. You also gain insights into Google.

edX

Azure AI Fundamentals: Build & Deploy AI

This course offers a comprehensive introduction to artificial intelligence (AI) concepts and the array of Azure services available for developing AI solutions. Designed for individuals with both technical and non-technical backgrounds, this course requires no prior experience in data science or software engineering. It is ideal for professionals l.

edX

AI Foundations for Business Leaders

The course is tailored for business professionals aiming to harness the power of artificial intelligence (AI) to drive organizational success. This beginner-level learning path requires no prior technical expertise and focuses on integrating AI into business processes to enhance decision-making and operational efficiency. It is ideal for business.

Coursera

Microsoft 365 Copilot for Productivity

Using Microsoft 365 applications with Copilot empowers you to save time, streamline workflows, and improve collaboration. According to Microsoft's Work Trend Index, 70% of Copilot users reported being more productive, and 68% said it improved the quality of their work.¹ Copilot uses AI to automate routine tasks, provide insights, and enhance decisi.

Coursera

Gen AI: Unlock Foundational Concepts

Gen AI: Unlock Foundational Concepts is the second course of the Gen AI Leaders learning path. In this course, you unlock the foundational concepts of generative AI by exploring the differences between AI, ML, and gen AI, and understanding how various data types enable generative AI to address business challenges. You also gain insights into Google.

Coursera

Fundamentals of Microsoft 365 Copilot

In this course, it is necessary to have access to Microsoft 365 with Copilot enabled, although no prior experience with Copilot is needed. This course introduces you to Microsoft 365 Copilot, providing a clear and practical understanding of its core features. You'll learn to craft effective prompts and apply Copilot's functionalities across the Mic.

Coursera

AI and European Union Law: Navigating Regulatory Compliance

As the legal landscape evolves, efficiency, accuracy, and flexibility have become critical qualities for maintaining a competitive edge. This course is intended for EU attorneys who want to remain ahead of the curve by understanding the interplay between AI and European regulatory compliance. This course covers AI's transformational influence on le.

Coursera

Data Analysis and Visualization with Copilot in Excel

In this course, it is necessary to have access to Microsoft 365 with Copilot enabled, although no prior experience with Copilot is needed. You'll explore how to use Copilot Pro and Microsoft 365 Copilot in Excel to work with data more efficiently. You'll learn to transform raw data into meaningful insights and eye-catching visualizations, all with.

Coursera

Copilot for Advanced Collaboration in Teams and Outlook

In this course, you need access to Microsoft 365 with Copilot enabled, but no prior experience with Copilot is required. You will learn how to use Copilot in Outlook and Teams to improve communication and collaboration. This includes mastering techniques for efficient email management, organizing meetings, and analyzing conversations. The course al.

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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!