AI courses

7074 Courses

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The Weaviate Vector Database - Introduction to Vector Search and AI Applications

Explore vector databases and hybrid search techniques with Weaviate's co-founder, learning how to leverage AI-native applications and modern data ecosystems effectively.
provider YouTube
pricing Free Video
duration 12 minutes
sessions On-Demand
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Building Intelligent Applications with Spring AI

Dive into building intelligent applications with Spring AI, mastering model integration, data analysis, and smart feature development for enhanced application capabilities.
provider YouTube
pricing Free Video
duration 53 minutes
sessions On-Demand
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GitHub Copilot: Evolution, Architecture, and Future Development

Explore GitHub Copilot's evolution from code completion tool to comprehensive development assistant, understanding its capabilities across IDE, terminal, and pull requests, plus insights into AI-native development.
provider YouTube
pricing Free Video
duration 45 minutes
sessions On-Demand
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Lab - Create Interactive Dashboards with Amazon QuickSight

Master interactive dashboard creation in Amazon QuickSight by building real-world e-commerce analytics visualizations, from dataset configuration to publishing dynamic business intelligence reports.
provider AWS Skill Builder
pricing Paid Course
duration 1 hour
sessions On-Demand
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Automate Test Cases Without Code Using Generative AI-Based Test Automation Tool - TestRigor

Discover how to automate test cases effortlessly with TestRigor's AI-powered platform, eliminating coding requirements while enhancing testing efficiency and productivity for QA teams.
provider YouTube
pricing Free Video
duration 16 minutes
sessions On-Demand
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Claude 3.7 Sonnet - Understanding Extended Thinking and Code Capabilities

Explore Anthropic's Claude 3.7 Sonnet model's enhanced capabilities, focusing on its new thinking tokens feature and improved coding abilities through practical demonstrations and technical insights.
provider YouTube
pricing Free Video
duration 22 minutes
sessions On-Demand
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Data Analyst vs Machine Learning Engineer vs Data Scientist - Career Role Comparison

Discover the key differences between data analyst, machine learning engineer, and data scientist roles, including responsibilities, skills required, and career paths.
provider YouTube
pricing Free Video
duration 11 minutes
sessions On-Demand
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Microsoft Fabric Basic Concepts and Configuration

Discover the fundamentals of Microsoft Fabric, learn to create environments, explore different workloads, and master administration and monitoring techniques to effectively deploy and manage your data platform.
provider Pluralsight
pricing Free Trial Available
duration 1 hour
sessions On-Demand
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Data Science with Microsoft Fabric

Unlock the power of Microsoft Fabric to design, implement, and govern modern data science solutions while seamlessly integrating AI with BI workflows for actionable insights.
provider Pluralsight
pricing Free Trial Available
duration 1 hour 18 minutes
sessions On-Demand
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Using AI/ML to Drive Operational Excellence: Keys to AWS Optimization - Episode 4

Discover how to leverage Amazon CloudWatch's AI/ML capabilities for enhanced telemetry analytics and application monitoring, gaining deeper operational insights through data-driven investigations.
provider YouTube
pricing Free Video
duration 59 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!