AI courses

6482 Courses

Coursera

Gen AI Agents: Transform Your Organization

Explore how to build custom gen AI agents for business challenges, with hands-on practice creating agents using models, reasoning loops, and tools to transform your organization.

On-Demand

Coursera

Gen AI Apps: Transform Your Work

Discover how to leverage Google's gen AI applications like Gemini and NotebookLM to automate workflows, create effective prompts, and transform your productivity with grounding techniques.

On-Demand

Coursera

Gen AI: Beyond the Chatbot

Explore the true potential of generative AI beyond chatbots, learning about foundation models, prompt engineering, and developing effective organizational AI strategies.

On-Demand

Coursera

Gen AI: Unlock Foundational Concepts

Unlock foundational concepts of generative AI, exploring AI/ML differences, data types, Google Cloud strategies for foundation models, and responsible AI development challenges.

On-Demand

YouTube

Neuromorphic Computing from the Computer Science Perspective - Algorithms and Applications

Explore neuromorphic computing from a computer science lens, focusing on spiking neural networks, algorithms, and real-world applications from scientific data analysis to autonomous vehicles.

On-Demand

YouTube

When Smart AI Models Overthink Stupid Data - AI TRAP

Discover how AI models with advanced reasoning capabilities can overthink ill-posed questions, leading to redundant thinking patterns and inefficient responses—a critical flaw in current LLM training approaches.

On-Demand

YouTube

How to Code Agents with Google's NEW ADK

Discover how to build AI agents with Google's Agent Developer Kit (ADK), exploring workflows, code examples, multi-agent configurations, dynamic memory, and Agent2Agent protocols.

On-Demand

YouTube

Using Khanmigo to Support ALL Learners

Discover how Khanmigo can support all learners through Khan Academy's workshop series designed specifically for administrators and educational leaders.

On-Demand

YouTube

HPE ProLiant Compute AI Portfolio and Solutions

Explore HPE's AI-ready server portfolio including PCAI, DL145, DL380a, and DL384, designed for enterprise AI applications from edge to core, with real-world use cases in retail, maintenance, and security.

On-Demand

YouTube

Pareto-efficient AI Systems: Expanding the Quality and Efficiency Frontier of AI

Explore the Pareto frontier between AI capabilities and efficiency with Simran Arora's research on expanding quality-throughput tradeoffs in language models, introducing BASED architecture and ThunderKittens programming library.

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!