Sign in Sign up

AI courses

6732 Courses

course image
California Institute of Technology YouTube

How to Detect People in Danger Zones with AI

Learn how to enhance workplace safety with vision AI by tracking people and objects in danger zones, building red zone trackers, and integrating data systems for trend analysis.
provider YouTube
pricing Free Video
duration 13 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Neuromorphic Hardware – A System Perspective

Explore neuromorphic computing principles, systems like SpiNNaker2, and future developments in energy-efficient AI hardware with Johannes Partzsch from TU Dresden.
provider YouTube
pricing Free Video
duration 37 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

CODE RED: TTRL Unlocks AI Self-Evolution

Explore the boundaries of AI self-learning through TTRL methodology, examining the limits of self-rewarding and self-referencing reinforcement learning in language models.
provider YouTube
pricing Free Video
duration 33 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Estimation of Channel Frequency Response in an IEEE 802.11ax SISO-OFDM Channel - Experiment 4

Dive into IEEE 802.11ax SISO-OFDM channel frequency response estimation using BPSK modulation, L-LTF fields, and Least Squares methods with MATLAB implementation and simulation result analysis.
provider YouTube
pricing Free Video
duration 29 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Relationships, Engagement and Connection with AI

Discover how AI can strengthen student-teacher relationships, enhance classroom engagement, and create more connected learning environments with practical implementation strategies.
provider YouTube
pricing Free Video
duration 56 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

AI Agents: The Shift from AI Assistants to Intelligent Automation

Explore the transformative potential of AI Agents with Microsoft's Valentina Alto, covering key differentiators from AI Assistants, core characteristics, real-world applications, challenges, and best practices for enterprise implementation.
provider YouTube
pricing Free Video
duration 43 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Building Agentic and Multi-Agent Systems with LangGraph

Master the development of agentic and multi-agent LLM applications using LangChain and LangGraph. Learn to build RAG systems, implement reasoning cycles, and create complex multi-agent workflows for advanced AI applications.
provider YouTube
pricing Free Video
duration 1 hour 59 minutes
sessions On-Demand
course image
California Institute of Technology Stanford University

AI Audits and Autonomy in Sociotechnical Systems

Explore how sociotechnical systems are shaped by invisible governance structures, and learn methods to uncover these mechanisms, understand the illusion of control, and amplify silenced voices to reshape our relationship with technology.
provider YouTube
pricing Free Video
duration 1 hour 5 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Letting AI Interface with Your App using MCPs

Explore how AI assistants like Jarvis can interact with applications through MCPs, and learn about the future of user interaction in Kent C. Dodds' demo.
provider YouTube
pricing Free Video
duration 23 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

An Autonomous Mom: Revolutionizing Wind Farm Management with AI, Sensor Data and Connectivity

Explore how IoT and AI reasoning create autonomous systems for wind farm management, with practical code demonstrations and insights into the future of data-driven autonomous technologies.
provider YouTube
pricing Free Video
duration 24 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!