AI courses

2023 Courses

PyTorch for Deep Learning

PyTorch for Deep Learning Learn PyTorch and become a proficient Deep Learning Engineer. This PyTorch course is a step-by-step guide designed to help you develop your own deep learning models. The curriculum includes essential topics such as Computer Vision, Neural Networks, and much more.

Pluralsight

Google Gemini Deployment and Administration

Google Gemini Deployment and Administration Google Gemini is a multimodal LLM that can be integrated into Google Workspace. This course will teach you about the capabilities of Gemini and how to deploy and administer it. Deploying Google Gemini can seem like a daunting challenge, but it is actually quite simple. In this cou.

Wolfram U

Wolfram Language and LLMs: Wolfram U Instructor-Led Course

Wolfram Language and LLMs: Wolfram U Instructor-Led Course | Wolfram U Discover how to integrate LLM technology with Wolfram Language, including leveraging the conversational interface of Chat Notebooks and executing programmatic operations using LLM functions. Modern LLMs enhance traditional computational workflows and.

Wolfram U

LLM Agents for Modeling Group Dynamics: Free Webinar

LLM Agents for Modeling Group Dynamics: Free Webinar Event: LLM Agents for Modeling Group Dynamics: Free Webinar Description: Join us to learn how researchers simulate group dynamics using LLM-powered environments and compare the results to actual human behavior. Explore general frameworks for creating LLM-based agents. Summary: Simulating grou.

Coursera

NotionAI for Beginners: Design a Product Launch

Title: NotionAI for Beginners: Design a Product Launch Description: In this 1.5-hour long project-based course, you will learn the fundamentals of using Notion AI to enhance productivity and creativity. You will create a Notion workspace to manage a blog business. We will explore various practical applications of Notion AI by brainstorming ideas.

Pluralsight

GitHub Copilot Administration and Deployment

GitHub Copilot Administration and Deployment Manage GitHub Copilot effectively with this comprehensive course on administration and deployment. Administering GitHub Copilot effectively is crucial for organizational success. In this course, GitHub Copilot Administration and Deployment, you will gain the necessary skills for efficient management..

LinkedIn Learning

Ya Xu: How to Turn AI from a Buzz Word to a Business Tool

Ya Xu: How to Turn AI from a Buzz Word to a Business Tool | LinkedIn Learning Ya Xu: How to Turn AI from a Buzz Word to a Business Tool Explore the opportunities and challenges presented by AI with Ya Xu, the head of data and AI at LinkedIn. This LinkedIn Learning course delves into practical approaches to integrating AI.

LinkedIn Learning

Azure AI Studio First Look

Azure AI Studio First Look Get a quick first look at Azure AI Studio and begin exploring its capabilities. This course is provided by LinkedIn Learning and is ideal for those interested in Artificial Intelligence, Python, Cloud Computing, DALL-E, Image Generation, and OpenAI. University: LinkedIn Learning Categories: Artificial.

LinkedIn Learning

Vector Databases in Practice: Deep Dive

LinkedIn Learning

Building Serverless Apps with AI Services on AWS

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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!