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AI courses

7092 Courses

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California Institute of Technology YouTube

Self-Service Analytics Using Azure Synapse Link for Azure Cosmos DB

Learn to build real-time BI dashboards using Azure Synapse and Cosmos DB. Discover no-ETL analytical processing on operational data without impacting critical workloads.
provider YouTube
pricing Conference Talk
duration 1 hour
sessions On-Demand
course image
California Institute of Technology YouTube

Move Your Entire BI Platform to Azure and Power BI

Comprehensive guide to migrating BI platforms to Azure and Power BI, covering architecture, implementation, governance, and support. Includes real-world examples and demos for enterprise-level deployment.
provider YouTube
pricing Conference Talk
duration 2 hours 2 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Building Data Lakes in Azure

Learn to build and leverage data lakes in Azure using Databricks and Synapse Analytics. Explore key services, implementation strategies, and querying techniques for modern data environments.
provider YouTube
pricing Conference Talk
duration 1 hour 6 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

SQL Server Business Intelligence on Amazon RDS

Explore SQL Server Integration Services, Analysis Services, and Reporting Services on Amazon RDS. Learn cost-saving strategies, configuration, security, and reliability for Microsoft BI toolkit on cloud infrastructure.
provider YouTube
pricing Conference Talk
duration 1 hour
sessions On-Demand
course image
California Institute of Technology YouTube

Understanding Machine Learning Algorithms Through Examples

Explore common machine learning algorithms and practices through industry examples, learn to choose the right algorithm, and discover Azure ML solutions for automating tasks without coding.
provider YouTube
pricing Conference Talk
duration 1 hour
sessions On-Demand
course image
California Institute of Technology YouTube

Microsoft SQL Server Machine Learning Workloads on Red Hat Enterprise Linux and Red Hat OpenShift

Accelerate machine learning pipelines using SQL Server on Red Hat Enterprise Linux and OpenShift. Learn in-database ML techniques and containerization for efficient model production and deployment.
provider YouTube
pricing Conference Talk
duration 53 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Microsoft Power BI - Business Intelligence Strategy, Vision, and Roadmap Update

Explore Microsoft Power BI's latest features and future roadmap for driving data-driven decision-making across organizations, presented by BI leadership at PASS Data Community Summit.
provider YouTube
pricing Conference Talk
duration 58 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Power BI CI - CD with Tabular Editor

Automate Power BI Dataset and Analysis Services Tabular model development using Tabular Editor, GIT, and Azure DevOps. Learn to implement continuous integration and delivery for efficient BI solution management.
provider YouTube
pricing Conference Talk
duration 1 hour 1 minute
sessions On-Demand
course image
California Institute of Technology YouTube

Unlocking The Data Lake With Azure Synapse SQL Serverless

Explore and transform massive data in Azure data lakes using SQL Serverless for Synapse. Learn to leverage T-SQL for analytics, BI, and ML at petabyte scale.
provider YouTube
pricing Conference Talk
duration 58 minutes
sessions On-Demand
course image
California Institute of Technology YouTube

Machine Learning with SQL Server - From the Edge to the Cloud

Explore machine learning options in SQL Server ecosystem, from edge devices to cloud, covering training, testing, and operationalization for various workloads and design patterns.
provider YouTube
pricing Conference Talk
duration 56 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!