AI courses

6482 Courses

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BI Battle: Centralized Control vs. Decentralized Agility

Explore the strategic dilemma between centralized BI for consistency and decentralized approaches for agility. Discover practical frameworks for balancing control with innovation in business intelligence organizational structures.

On-Demand

Corporate Finance Institute

Enterprise Deployment & Governance: Power BI Edition

Learn to use advanced Power BI reporting at an enterprise scale

On-Demand

Corporate Finance Institute

Power BI Case Study – CFI Capital Partners

Dive into a practical Power BI case study with CFI Capital Partners, covering data transformation, modeling, visualization, and user experience design.

On-Demand

Corporate Finance Institute

Having Difficult Conversations and Managing Conflict

This course provides leaders with skills and knowledge to improve their skills in managing difficult conversations and, develops their confidence in addressing conflict

On-Demand

Corporate Finance Institute

Power BI Financial Statements

A Scenario-Based Deep Dive into Power BI for Financial Statement Automation and Analysis Master the integration of SQL, Power Query, Power BI, Excel, and DAX for comprehensive financial data analysis

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Corporate Finance Institute

Power Query Fundamentals Case Study

Put your Power Query skills to test with these seven different quick challenges

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Corporate Finance Institute

Power Query Fundamentals

Dive into the World of Power Query: Master the art of extracting data from multiple sources and automating the transformation of even the dirtiest data into clean, actionable insights

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Corporate Finance Institute

AI for Excel Formulas

Work through multiple Excel-Formula-based tasks with Chat GPT and Gemini to help you build a better picture of AI tools and how they can help you be a more efficient analyst

On-Demand

Corporate Finance Institute

AI-Enhanced Financial Analysis

This immersive course is designed to bridge the gap between traditional financial analysis and the innovative world of generative AI technologies

On-Demand

Corporate Finance Institute

Introduction to Business Intelligence

This Introduction to Business Intelligence course provides an overview of business intelligence

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!