AI courses

2846 Courses

Coursera

Operationalizing ML Models: MLOps for Scalable AI

In this course you’ll explore how to turn promising ML prototypes into robust, scalable, and maintainable systems that deliver real value. Through hands-on demos, practical tools, and real-world case studies from companies like Netflix, Uber, and Google, you’ll gain a comprehensive understanding of what it takes to run ML systems effectively in pro.

Coursera

How to Build an Enterprise AI Strategy

AI tools alone won’t drive business success—organizations need a strategic roadmap to harness AI’s full potential. With AI expected to automate up to 70% of business activities by 2030, leaders must develop clear, actionable strategies to stay competitive. This course is designed for leaders and decision-makers looking to strategically leverage AI.

Northeastern University

Responsible AI for Mental Health

Unlock the future of AI-driven mental health care while tackling the critical ethical challenges shaping the field today. From bias and misinformation to privacy and patient safety, this course dives into the complexities of AI’s role in mental health. Explore cutting-edge advancements in computing and social robotics, and compare basic and advance.

Coursera

How to Build an Entrepreneurial AI Strategy

In today’s fast-paced digital era, Artificial Intelligence (AI) is no longer optional—it’s the key to driving growth, sparking innovation, and staying ahead of the competition. Whether you’re an entrepreneur, SME owner, or professional leader, this course, “How to Build an Entrepreneurial AI Strategy,” empowers you to unlock AI’s full potential and.

University of California, Davis

Advanced Web Layouts

In this final course of the Web Development for Beginners specialization, we’ll review new approaches for designers and developers to create and control the flow of content on web pages. We’ll review advanced uses of CSS grid, and explore creative ways grid has been implemented on websites in recent years. You’ll practice to build your fluency with.

ESSEC Business School

Advancing Dairy Management with Artificial Intelligence

By completing this course, you will gain a solid understanding of the basics of AI and its role in dairy systems. You will learn to identify key data types used in dairy analytics, such as production, health, and nutrition data. Additionally, you will explore AI applications in various aspects of dairy systems and discuss current AI applications in.

Treehouse

(UPI) Chapter 19: AI in Cybersecurity Course (How To)

Chapter 19 explores how AI, particularly deep learning models like RNNs and CNNs, enhances malware detection by analyzing static and dynamic features, addressing the growing complexity of cyber threats with automated precision.

Treehouse

(UPI) Chapter 8: Cybersecurity of Critical Infrastructure Course (How To)

In this chapter, the analysis centers on the cybersecurity of critical infrastructure within the national security domain, examining both the ethical challenges and value conflicts that arise when protecting vital public services and systems from cyber threats. The chapter reviews relevant literature, presents frameworks for categorizing attacks,.

Indiana University

Industry 4.0 for business managers

The world is embarking into the Fourth Industrial Revolution (I4.0) which has a profound impact on all workers and organizations worldwide. Want to build up the knowledge and skills to excel in an I4.0 world, complete this Professional Certificate offered by one the world’s top institutions. This program will transform your mindset to discover new.

Georgia Institute of Technology

ChatGPT for Educators

In this program, educators of all levels will learn how to adjust to a world in which conversational AI has become as common as search engines and smartphones. This emerging technology demands some adjustments on the part of educators to make sure our homeworks and tests remain valid assessments of student learning, but adjusting to its existence.

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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!