AI courses

6482 Courses

Coursera

Snowflake Data Engineering

Master Snowflake data engineering through hands-on exercises covering data ingestion, transformations, pipeline orchestration, DevOps practices, and observability to build practical skills for real-world projects.

On-Demand

edX

Advanced Procurement & Emerging Technologies

Equip yourself with the tools, strategies, and technologies driving the future of procurement and supply chain management.

On-Demand

SAP Learning

Introducing SAP Business AI for SAP S/4HANA Cloud

Discover SAP Business AI for S/4HANA Cloud, exploring strategic applications, technical requirements, and real-world use cases to optimize business operations and drive innovation through embedded AI capabilities.

On-Demand

SAP Learning

Introducing SAP Business AI for SAP Supply Chain Management

Explore SAP Business AI for supply chain management, including strategic applications, technical requirements, and real-world use cases across design, planning, manufacturing, and delivery operations.

On-Demand

SAP Learning

Exploring SAP Datasphere

Discover SAP Datasphere's data warehouse strategy, learn to prepare landscapes, create models in Data Builder, and consume them with SAP Analytics Cloud.

On-Demand

YouTube

Qlik Embedded Analytics and AI Deep Dive

Explore how Qlik's embedded analytics and AI transform business applications by integrating real-time insights directly into workflows, with demonstrations of their scalable platform for ISVs and enterprises.

On-Demand

YouTube

Qlik AI Strategy Overview and Agentic AI Deep Dive

Explore Qlik's AI strategy spanning predictive analytics, generative AI, and agentic AI capabilities, with demonstrations of how their platform solves real business problems through autonomous actions while maintaining enterprise-grade standards.

On-Demand

YouTube

Boosting Sales with Intelligent BI Agents

Discover how integrating Data Warehouses, LLMs, and RAG revolutionizes business analytics, enabling sales professionals to interact with complex data using natural language for rapid, context-aware insights.

On-Demand

YouTube

Future-Proofing Your Business with Demand Forecasting

Discover how BE-terna's Alisa AI solution transforms business operations through advanced predictive analytics, optimizing inventory levels and enhancing profitability with accurate demand forecasting.

On-Demand

YouTube

Event Analytics - From Unstructured to Insightful

Explore event modeling techniques for integrating multi-source data to solve business intelligence challenges, from resolving financial discrepancies to reconstructing data narratives for enhanced decision-making.

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!