AI courses

2023 Courses

Coursera

Driving Customer Equity with AI

Title: Driving Customer Equity with AI Description: This course covers how to drive customer equity and transform your marketing strategies using generative AI. Delve into the foundational components of customer equity and understand the impacts on long-term business success. Learn to evaluate marketing tactics through the lens of customer equit.

Northeastern University

Machine Learning for Healthcare Professionals

Title: Machine Learning for Healthcare Professionals Description: Examines data mining perspectives and methods in a healthcare context. Introduces the theoretical foundations for major data mining methods and studies how to select and use the appropriate data mining method and the major advantages for each. Students are exposed to contemporary.

Coursera

Capstone: Making the Case for AI

Capstone: Making the Case for AI Capstone: Making the Case for AI Put everything you learned in the AI in Marketing Specialization into practice in this capstone project. This course invites learners to delve into AI implementations in marketing—connecting to customer equity, showcasing generative AI's content production ca.

Indian Institute of Technology Guwahati

Generative AI for Healthcare Students and Professionals

Generative AI for Healthcare Students and Professionals This course aims to provide healthcare students and professionals with a solid foundation in how generative AI is used in their sector, adopting a balanced discourse of information. Participants will engage with case studies that analyze the current landscape of AI in various fields such as.

Coursera

Generative AI in Marketing

Generative AI in Marketing Discover the transformative potential of Generative AI in the marketing landscape. This course offers an introduction to generative AI and explores its unique capabilities in the context of marketing. Learn to create compelling visual content and enhance customer engagement through advanced AI tools. Dive into the int.

University of Michigan

Using Generative AI for Learning Design Activities

Using Generative AI for Learning Design Activities | University of Michigan | Coursera In “Using Generative AI for Learning Design Activities,” you’ll experiment with how generative AI supports learning design tasks. Throughout the course, instructors will use an applied case study to illustrate how generative AI can enhance learning desi.

San Jose State University

Making a Difference Ⅱ: High Stakes

Making a Difference Ⅱ: High Stakes Climate Change, Nuclear War, Man-made Pandemics, The rise of AI – Humanity has never been more capable, and yet it has never been more at risk. This course, which is the second part of the Making a Difference program, provides a collection of practical tools from economics, technology, cli.

Coursera

AI for Marketing: SWOT Analysis

AI for Marketing: SWOT Analysis In this course, learners of all AI comfort levels will learn the foundations of using generative AI for SWOT analysis. Whether you're an executive, a team leader, or a professional looking to upskill your AI literacy, this course will equip you with the tools and knowledge to leverage generative AI fo.

University of Michigan

Learning Languages with AI

Learning Languages with AI Learning a new language can be exciting, but we don't always have the resources to push ourselves to the next level. In "Learning Languages with AI," you will learn how to enhance language learning with the help of generative AI tools. Identify your strengths and areas for improvement, then explore how you can responsi.

Coursera

GenAI for Mobile App Developers (iOS, Android)

GenAI for Mobile App Developers (iOS, Android) At the GenAI Academy, the "GenAI for Mobile App Developers" course dives into the transformative potential of Generative Artificial Intelligence (GenAI) in mobile app development. This comprehensive course empowers participants to harness GenAI capabilities, streamlining their development workflows..

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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!