Sign in Sign up

AI courses

7074 Courses

course image
California Institute of Technology YouTube

Building the First SONiC Cloud AI Benchmarked Cluster

Discover how to build and implement a pioneering SONiC-powered AI cloud cluster, exploring design challenges, solutions, and performance benchmarking for advanced artificial intelligence workloads.
provider YouTube
pricing Free Video
duration 12 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

The Exponential Demands AI Places on the Rack and Datacenter

Explore how AI's growing computational demands reshape datacenter architecture, power requirements, and cooling solutions, with insights from NVIDIA and Google experts on future scaling challenges.
provider YouTube
pricing Free Video
duration 19 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Sustainable Strategies for Data Centers in the AI Era

Discover practical approaches to reduce data center carbon footprints through hydrogen power and transparent carbon reporting, as industry leaders share experiences and strategies for sustainable AI infrastructure.
provider YouTube
pricing Free Video
duration 19 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Reimagining Data Centers - Distributed Intelligence, Digital Twins, and Sustainability Innovation

Explore innovative approaches to data center management using digital twins and distributed intelligence for sustainable operations and enhanced energy efficiency in edge computing environments.
provider YouTube
pricing Free Video
duration 16 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Combined Performance Metric for Data Center Efficiency in the AI Era

Explore a new data center efficiency metric (CPM) that combines GPU performance and power usage, designed specifically for evaluating AI workload infrastructure optimization.
provider YouTube
pricing Free Video
duration 18 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Introduction to the Dual Small Form Factor (DSFF) for OCP NIC 3.0

Explore the enhanced capabilities of Dual Small Form-Factor in OCP NIC specification, featuring doubled board area, PCIe Gen6 support, and 160W power delivery for advanced networking deployments.
provider YouTube
pricing Free Video
duration 18 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Modular OCP-based Direct Liquid Cooling Infrastructure for Future AI Applications

Explore innovative direct liquid cooling solutions for AI data centers, featuring modular OCP-based designs that optimize performance through advanced LTA and LTL cooling systems.
provider YouTube
pricing Free Video
duration 12 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Power Solutions for AI Data Centers

Discover innovative power solutions designed specifically for AI data centers, focusing on efficiency, reliability, and scalability in modern computing infrastructure.
provider YouTube
pricing Free Video
duration 14 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Data Centers of the Future: Adapting Infrastructure for AI-ML Computing

Discover how Google's data center infrastructure evolves to support AI-ML workloads through innovative cooling, power delivery, and architectural solutions for next-generation computing demands.
provider YouTube
pricing Free Video
duration 13 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Two-Phase Refrigerant-Based Direct Liquid Cooling Technology for Next-Generation AI Clusters

Explore advanced liquid cooling technology using two-phase refrigerants for high-density AI clusters, focusing on energy efficiency, sustainability, and improved cooling performance metrics.
provider YouTube
pricing Free Video
duration 14 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!