AI courses

6732 Courses

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LangChain v0.3 - Getting Started

Discover how to build a simple LLM-powered assistant with LangChain v0.3, covering setup, prompting, templates, chains, structured outputs, and image generation in this practical introduction.
provider YouTube
pricing Free Video
duration 34 minutes
sessions On-Demand
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Gemini 2.5 Pro and Qwen 2.5 VL for Object Detection - Benchmarking LLMs for Vision Tasks with RF100-VL

Explore how vision-language models perform on object detection tasks through RF100-VL benchmark testing, comparing Gemini 2.5 Pro, Qwen 2.5 VL, and other VLMs with detailed evaluation methods and results.
provider YouTube
pricing Free Video
duration 41 minutes
sessions On-Demand
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Build Your First Java Agent with Google ADK

Learn to build intelligent Java agents with Google's Java Agent Development Kit (ADK) through this hands-on tutorial covering key concepts, tools, multi-agent systems, and state management.
provider YouTube
pricing Free Video
duration 16 minutes
sessions On-Demand
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A New Renaissance with AI

Explore how AI is ushering in a new Renaissance era with Pascale Fung, examining the transformative potential of artificial intelligence across science and art.
provider YouTube
pricing Free Video
duration 46 minutes
sessions On-Demand
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Hypotheses and Visions for the Future Intelligent World - Building a Better World

Explore Hong Zhou's hypotheses and visions for building a better future intelligent world, examining how technology can shape our society.
provider YouTube
pricing Free Video
duration 36 minutes
sessions On-Demand
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Project Numina and AI for Theorem Proving

Discover Project Numina's open-source AI for mathematics, including NuminaProver for theorem proving, and learn about their AIMO prize-winning work and future developments in mathematical AI.
provider YouTube
pricing Free Video
duration 57 minutes
sessions On-Demand
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Universal Optimal Control, Reinforcement Learning, and Reaching Goals in LLMs

Explore universal optimal control theory and how reinforcement learning techniques can be applied to help Large Language Models achieve specific goals with Yann Ollivier from Meta's FAIR.
provider YouTube
pricing Free Video
duration 54 minutes
sessions On-Demand
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Productionizing LLMs at Scale for Real-World Commerce

Discover how Mirakl built an AI-powered catalog onboarding system using fine-tuned LLMs, covering architecture choices, LoRA adapters, elastic autoscaling, and cost optimization strategies for e-commerce applications.
provider YouTube
pricing Free Video
duration 25 minutes
sessions On-Demand
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How Nubank Uses Foundation Models for Financial Data

Discover how Nubank trains foundation models on billions of transactions to develop rich customer representations, revealing how scaling laws improve financial applications while maintaining privacy standards.
provider YouTube
pricing Free Video
duration 21 minutes
sessions On-Demand
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From Batch to Personalized: Attentive's Journey with Ray and Anyscale

Discover how Attentive transformed digital marketing with AI-powered personalization using Ray and Anyscale, including optimization strategies for large-scale recommendation systems and practical solutions for ML infrastructure challenges.
provider YouTube
pricing Free Video
duration 25 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!