AI courses

7074 Courses

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Get Up to Speed with AI in 2025: Model Context Protocol, Agents, RAG, Hybrid Search, and More

Explore the forefront of AI in 2025, where you'll learn about the latest advancements, including Model Context Protocol, agents, RAG, and hybrid search. Delve into the use of embeddings and vector databases while gaining practical implementation strategies to remain a leader in AI development. This course, available on YouTube, offers a compr.
provider YouTube
pricing Free Video
duration 1 hour 36 minutes
sessions On-Demand
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Introduction to Security in the World of AI

Unlock the potential of artificial intelligence in your organization while maintaining top-notch security with our course, "Introduction to Security in the World of AI." This comprehensive learning experience provides a robust framework for identifying risks and ensuring the protection of your valuable data. Whether you are managing AI syste.
provider Google Cloud Skills Boost
pricing Free Online Course
duration 1 hour
sessions On-Demand
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Enhance Gemini Model Capabilities

Enhance Gemini Model Capabilities - Google Cloud Skills Boost Elevate your skills in artificial intelligence by mastering the advanced Gemini model features. Offered by Google Cloud Skills Boost, this course is designed for individuals seeking to deepen their knowledge in AI applications, including code generation, grounding techniques, contro.
provider Google Cloud Skills Boost
pricing Paid Course
duration 7 hours 15 minutes
sessions On-Demand
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Analyze and Reason on Multimodal Data with Gemini

Unlock the power of Gemini 2.0 Flash and become an expert in multimodal data analysis, covering text, images, audio, and video sources. This course, offered by Google Cloud Skills Boost, provides the tools and knowledge to extract meaningful insights and draw sound conclusions from diverse information types. As you master the functionalities.
provider Google Cloud Skills Boost
pricing Paid Course
duration 5 hours 30 minutes
sessions On-Demand
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Transforming Exploratory Data Analysis with AI

Unlock the power of Generative AI to transform your exploratory data analysis processes. Learn how to automate everything from data cleaning to visualization while ensuring accuracy and ethical use. This course empowers you to make faster, more insightful decisions across diverse fields by mastering cutting-edge AI techniques in data analys.
provider Coursera
pricing Paid Course
duration 5 hours 18 minutes
sessions On-Demand
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H2O Generative AI Starter Track

H2O Generative AI Starter Track Join the H2O Generative AI Starter Track to gain practical insights into the applications of Generative AI with h2oGPTe. This course covers essential topics such as prompt engineering, Retrieval-Augmented Generation (RAG), document analysis, and strategies for enterprise integration. Aimed at both business profe.
provider Coursera
pricing Free Online Course (Audit)
duration 1 hour 18 minutes
sessions On-Demand
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provider Coursera
pricing Free Online Course (Audit)
duration 4 hours 25 minutes
sessions On-Demand
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Revolutionizing eLicensing and ePermitting with AI

Discover the transformative power of AI in eLicensing and ePermitting processes. This course delves into the intricacies of technical architecture and data security, offering valuable insights into effective implementation strategies. Learn about future developments that can significantly boost compliance and efficiency within these systems. I.
provider YouTube
pricing Free Video
duration 20 minutes
sessions On-Demand
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Operationalizing Reliability and Equity in Healthcare AI

Join Shalmali Joshi as she explores the intricate challenges of bringing reliable and equitable AI systems into the healthcare industry. This insightful presentation, part of CGSI 2024, provides in-depth strategies and solutions for overcoming obstacles in implementing advanced technology in healthcare settings. Hosted on YouTube, this prese.
provider YouTube
pricing Free Video
duration 31 minutes
sessions On-Demand

Artificial intelligence is the ability of a machine to imitate human thinking. This is the name of modern technology with the help of which electronic devices, programs and robots can solve various problems using given algorithms. We tell you where to start studying AI course and why it is needed.

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!