AI courses

6482 Courses

YouTube

What's New in Go 1.24

Discover the latest features in Go 1.24, including post-quantum cryptography, generic type aliases, and performance improvements that reduce CPU overhead, plus learn how to build scalable applications for AI workloads.

On-Demand

YouTube

How AI Agents Will Change the Future of Programming

Explore how AI agents are transforming software development, from new models like o1 to agent-based benchmarks and OS models, with insights on enhancing programming quality and efficiency.

On-Demand

YouTube

Forget Everything You Think You Know About NPCs and World-Building

Discover how AI advancements have transformed game world-building, enabling the creation of thousands of unique NPCs with distinct storylines, moods, and backgrounds—revolutionizing the future of game development.

On-Demand

YouTube

From Pixels to Words: Exploring Multi-Modal AI with Python

Explore the transformative potential of Multi-Modal Learning with Python, blending sight, sound, and text to create robust AI systems through practical implementations and real-world applications.

On-Demand

YouTube

Reduce the Environmental Footprint of Your Python Programs

Discover techniques to reduce the carbon footprint of your Python code through sustainable coding practices, better algorithms, and greener tools, making a positive environmental impact without sacrificing performance.

On-Demand

YouTube

What's New in Google Cloud

Discover the latest Google Cloud platform features and how they integrate to solve developer challenges, with insights on AI business trends for 2025.

On-Demand

YouTube

The Future is Now, with Compose and AI on Android XR

Discover the latest updates to Android XR SDK Beta, including Jetpack Compose for XR and AI capabilities. Learn how to leverage your large screen development investments to expand into immersive Android XR experiences.

On-Demand

YouTube

How Windsurf Breaks Through the Ceiling for Retrieval

Discover how Windsurf AI-native code editor works, its development principles, and practical tips for integrating AI into your development workflow to enhance productivity and coding efficiency.

On-Demand

Coursera

Building and Working with Relational Databases

Master relational database principles through hands-on SQL, data modeling, and application development, learning to create efficient solutions for business intelligence and decision-making.

On-Demand

Coursera

AWS: Analytics and Application Integration

Master AWS analytics and application integration services, from EMR and Glue for data processing to EventBridge, SQS, and SNS for event-driven architectures, plus Amplify for scalable application development.

On-Demand

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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!