AI courses

2016 Courses

Coursera

Generative AI for Executives and Business Leaders - Part 2

Generative AI for Executives and Business Leaders - Part 2 As an executive or business leader in your organization, integrating AI well is likely number one for your strategic priorities. In this short course, hear what IBM leaders think about the essentials when it comes to strategically integrating GenAI at scale cross-functi.

Coursera

Advanced Chatbots with Deep Learning and Python

Advanced Chatbots with Deep Learning and Python This course is designed to equip learners with the knowledge and skills required to develop advanced chatbots using deep learning and Python. The initial modules provide an overview of chatbots, their evolution, and the benefits of incorporating AI into chatbot development. Learners wil.

Coursera

Generative AI Content Creation

Generative AI Content Creation Dive into the innovative world of generative AI and discover how to harness its power using Adobe Firefly to elevate your creative projects. By the end of this course, you’ll be equipped with the knowledge and skills to revolutionize your design process, making you a pioneer in the digital landscape. Join us an.

Coursera

Streamline App Development with Gemini Code Assist

Designed for developers of all levels, this course introduces you to the core features and functionalities of Gemini Code Assist, an AI-powered app development collaborator for Google Cloud. From intelligent code suggestions and auto-completion to real-time error detection and refactoring assistance, you'll discover how Gemini Code Assist can s.

University of Colorado Boulder

Developing and Managing Sustainable Supply Chains

Developing and Managing Sustainable Supply Chains Companies today face immense pressure from governments, investors, and stakeholders to adopt sustainable practices. Concurrently, customers are demanding more circular products, and companies must meet internal ESG goals while maintaining profitability. Siemens Digital Industries Software and the.

Coursera

HEALTHY URBAN SYSTEMS - PART 1 : Concepts and observations

HEALTHY URBAN SYSTEMS - PART 1: Concepts and Observations Welcome to an immersive exploration of Urban Health Systems with our expertly developed MOOC, specifically designed for professionals and enthusiasts in Urban Health. This inaugural part of our MOOC series (consisting of 3 MOOCs) launches you into a comprehensive 4-week journey, navigati.

Southern New Hampshire University

ChatGPT Meal Planning: Effortlessly Plan and Cook with AI

ChatGPT Meal Planning: Effortlessly Plan and Cook with AI Tired of the daily meal planning grind? Discover how to harness the power of ChatGPT to revolutionize your meal planning and cooking routine! In ChatGPT Meal Planning: Effortlessly Plan and Cook with AI, you'll learn how to transform the way you approach meals, using AI to create customiz.

Johns Hopkins University

Training AI with Humans

In the course "Training AI with Humans," you'll explore the intersection of machine learning and human collaboration, focusing on enhancing AI performance through effective data annotation and crowdsourcing. You will gain a comprehensive understanding of machine learning principles and performance metrics while developing practical skills in us.

Johns Hopkins University

Securing AI and Advanced Topics

Securing AI and Advanced Topics In the course "Securing AI and Advanced Topics", learners will delve into the cutting-edge intersection of AI and cybersecurity, focusing on how advanced techniques can secure AI systems against emerging threats. Through a structured approach, you will explore practical applications, including fraud prevention usi.

Coursera

Keras Deep Learning & Generative Adversarial Networks (GAN)

Keras Deep Learning & Generative Adversarial Networks (GAN) This course is designed to take you on an in-depth journey through the world of deep learning and artificial intelligence. Beginning with an introduction to AI and machine learning concepts, you’ll build a solid foundation in neural networks and deep learning with the Keras framework. As.

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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!