Sign in Sign up

AI courses

6732 Courses

course image
California Institute of Technology YouTube

Leveraging Data to Unlock Business Value

Discover how financial institutions and merchants use data to forge deeper customer connections, featuring Visa's strategies for enhancing interactions and managing risks to drive business growth.
provider YouTube
pricing Free Video
duration 38 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Building Blocks: Advanced Semantic Data Model Layering

Explore advanced semantic data modeling techniques with Lloyd Tabb as he reveals how to create sophisticated building blocks by reusing queries beyond traditional tables, enhancing comprehension for both humans and AI.
provider YouTube
pricing Free Video
duration 29 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

SQL-Based Metrics Layer for DuckDB and ClickHouse

Explore how to build a SQL-based metrics layer using DuckDB and ClickHouse for aggregating raw data into summarized metrics with dimensional slicing capabilities, enabling real-time analytics with sub-second response times.
provider YouTube
pricing Free Video
duration 26 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Building a Well-Architected Review Crew with GenAI

Discover how GenAI-powered AWS experts can transform cloud strategies through multi-agent workflows and the Well-Architected Framework, turning best practices into actionable results for your team.
provider YouTube
pricing Free Video
duration 1 hour 14 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Code Smarter, Not Harder: AI-Powered Dev Hacks for All

Discover practical AI tools for developers through real-world examples and live demos. Learn how to integrate AI assistants into your workflow for code completion, bug detection, refactoring, and test generation regardless of your skill level.
provider YouTube
pricing Free Video
duration 51 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Embedding OLAP, Everywhere - Lessons from Okta

Discover Okta's journey from traditional data processing to embedded OLAP systems, exploring the shift to mini serverless databases and how databases are re-entering application engineering domains.
provider YouTube
pricing Free Video
duration 25 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Text-to-SQL Is Not the Answer: How to Effectively Use AI for Analytics

Explore why AI complements rather than replaces BI practices in analytics workflows, with insights on effectively integrating natural language interfaces alongside traditional dashboards.
provider YouTube
pricing Free Video
duration 31 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Building High-Impact Data Teams in an AI-Driven World

Discover strategies for structuring data teams across different organizational models, with insights on how reporting relationships shape priorities, influence, and success metrics in today's AI-driven landscape.
provider YouTube
pricing Free Video
duration 27 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Tower's Elegant 2-Layer Data Stack for Harmonious Compute Engines

Discover Tower's elegant 2-layer data stack where compute engines coexist harmoniously, running Python frameworks from ETL to inference on scalable single-node compute with Iceberg open storage.
provider YouTube
pricing Free Video
duration 11 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

NAO: AI Code Editor for Streamlining Data Team Workflows

Discover NAO, an AI code editor built for data teams that unifies fragmented analytics engineering workflows across multiple tools, reducing context switching and enhancing productivity for data professionals.
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!