AI courses

2023 Courses

AWS Skill Builder

AWS ML Engineer Associate Curriculum Overview (Simplified Chinese)

AWS ML Engineer Associate Curriculum Overview (Simplified Chinese) 在这个 AWS ML Engineer Associate Curriculum 的入门课程中，您将回顾机器学习 (ML) 基础知识并研究 ML 和 AI 的演变。您将探索 ML 生命周期的初始步骤，确定业务目标并根据该业务目标制定 ML 问题。最后，您将了解 Amazon SageMaker，这是一项完全托管式 AWS 服务，可用于.

Coursera

Advanced Data Analysis with ChatGPT

Have you ever wondered how AI can transform raw data into actionable insights? This short course was designed to help data scientists and professionals harness the power of ChatGPT for advanced data analysis. By completing this course, you'll learn how to apply the advanced features of Chat GPT to extract insights and generate comprehensive rep.

Coursera

Applications of Copilot in the Workplace

Applications of Copilot in the Workplace Explore how Microsoft Copilot is transforming business functions. Discover Copilot's AI-powered features designed to streamline interactions and improve efficiency. Learn how to harness Copilot to automate responses to routine inquiries, rapidly resolve complex issues, and ev.

AWS Skill Builder

Exploring Artificial Intelligence Use Cases and Applications (Thai)

Exploring Artificial Intelligence Use Cases and Applications (Thai) ในหลักสูตรนี้ คุณจะได้ศึกษากรณีใช้งานในสถานการณ์จริงว่าด้วยการนำปัญญาประดิษฐ์ (AI), แมชชีนเลิร์นนิง (ML) และปัญญาประดิษฐ์ช่วยสร้าง (AI ช่วยสร้าง) ไปใช้ในอุตสาหกรรมต่างๆ อาทิ อุตสาหกรรมการดูแลสุขภาพ การเงิน การตลาด ความบันเทิง และอื่นๆ อีกมากมาย นอกจากนี้คุณยังจะได้เรียนรู้เกี่ยวกั.

Coursera

Copilot for Marketing

Copilot for Marketing Unlock Your Marketing Potential with Copilot In today's fast-paced, data-driven marketing landscape, staying ahead requires more than just creativity; it demands efficiency and precision. Our Copilot for Marketing Specialization on Coursera equips you with the AI tools and knowledge to ex.

Coursera

Introduction to GitHub Copilot

Introduction to GitHub Copilot This module is designed to equip you with the essential skills to set up and optimize your environment for using GitHub Copilot effectively. You will gain practical knowledge on installing and configuring Visual Studio Code (VS Code) across different operating systems, including Mac, PC, and Linux. This course cov.

Coursera

Intel® Solutions Pro – AI in the Cloud

Intel® Solutions Pro – AI in the Cloud Take a deep technical dive into AI workloads in the cloud. Gain insights on many AI topics, including AI pipelines, benchmarking AI performance, instance selection for AI workloads, and Federated Learning as well as hands-on experience through online labs. University: University Provider: Coursera Categor.

Coursera

GenAI for IT Project Managers

GenAI for IT Project Managers GenAI for IT Project Managers is designed to introduce IT project managers to the revolutionary world of GenAI technologies. This course provides an essential understanding of how GenAI can be integrated into IT project management to enhance efficiency, decision-making, and innovation. The content.

Coursera

GenAI for Computer Support Specialists (IT Support)

This course provides an opportunity to understand and utilize Generative AI (GenAI) in problem-solving and customer interactions. Participants will learn how to automate tasks, resolve issues more quickly with AI assistance, and improve customer support with personalized service. The program covers the core functionalities and limitations of.

Coursera

Generative AI for Data Science with Copilot

Generative AI for Data Science with Copilot This course provides a comprehensive introduction to Generative AI in data science. You'll explore the foundational concepts of generative AI, including GANs, VAEs, and Transformers, and discover how Microsoft Copilot leverages these models to streamline data science workflows. You'll gain hands-on exp.

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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!