AI courses

2015 Courses

AWS Skill Builder

Exam Prep Official Practice Question Set: AWS Certified Machine Learning Engineer - Associate (MLA-C01 - English)

Exam Prep Official Practice Question Set: AWS Certified Machine Learning Engineer - Associate (MLA-C01 - English) The Exam Prep Official Practice Question Set: AWS Certified Machine Learning Engineer - Associate (MLA-C01 - English) includes 20 questions. This question set aligns with the MLA-C01 version of the exam and exam guide. Official practi.

AWS Skill Builder

Amazon Q Introduction (Vietnamese)

Amazon Q Introduction (Vietnamese) Khóa học này cung cấp thông tin tổng quan cấp độ cao về Amazon Q, một trợ lý dựa trên nền tảng trí tuệ nhân tạo (AI) tạo sinh. Bạn sẽ tìm hiểu về các trường hợp sử dụng và lợi ích của việc liên kết Amazon Q với thông tin, mã và hệ thống của công ty bạn. Bạn cũng sẽ tìm thấy thông tin bổ sung để thúc đẩy hành tr.

Coursera

Game Bots in C#: Develop a Tic-Tac-Toe Agent

Game Bots in C#: Develop a Tic-Tac-Toe Agent In this 2 hours guided project, you will discover the art of game development with C# by building a formidable Tic-Tac-Toe agent using the powerful Minimax algorithm. This hands-on project will guide you through the intricacies of game AI development, from understanding the fundamental principles of t.

AWS Skill Builder

Amazon Q Developer Getting Started (Vietnamese)

Amazon Q Developer Getting Started (Vietnamese) Amazon Q Developer là trợ lý hoạt động trên nền tảng trí tuệ nhân tạo (AI) tạo sinh giúp bạn hiểu, xây dựng, mở rộng và vận hành các ứng dụng AWS trong toàn bộ vòng đời phát triển của phần mềm. Trong khóa học Bắt đầu này, bạn sẽ tìm hiểu về các lợi ích, tính năng, trường hợp sử dụng điển hình, khái n.

LinkedIn Learning

Understanding and Implementing the NIST AI Risk Management Framework (RMF)

Understanding and Implementing the NIST AI Risk Management Framework (RMF) - LinkedIn Learning Join LinkedIn Learning to master the principles of the NIST AI Risk Management Framework (RMF). This course is essential for anyone looking to implement and sustain these core principles within a business setting. Enhance your experti.

LinkedIn Learning

Redis + AI: Building a Vector Database with Redis

Redis + AI: Building a Vector Database with Redis Redis + AI: Building a Vector Database with Redis Join our course to discover how developers can leverage ready-made AI-related tools within Redis. Provided by LinkedIn Learning, this course is ideal for those interested in: Artificial Intelligence Vector Databases Redis Embeddings Str.

LinkedIn Learning

Google Gemini for Developers

Google Gemini for Developers Join the Google Gemini for Developers course to master best practices, patterns, and processes essential for developers and DevOps teams designing and deploying LLM-based applications using Google Gemini. This comprehensive program, provided by LinkedIn Learning, equips you with the necessary skills to excel in the ev.

LinkedIn Learning

Power BI Data Analyst Associate (PL-300) Cert Prep: Advanced Reporting in Power BI

Power BI Data Analyst Associate (PL-300) Cert Prep: Advanced Reporting in Power BI Learn about advanced reporting in Power BI to help you prepare for the Power BI Data Analyst (PL-300) exam with LinkedIn Learning. University: Provider: LinkedIn Learning Categories: Artificial Intelligence Courses Data Analysis Courses.

LinkedIn Learning

AI and Machine Learning Tools for After Effects

AI and Machine Learning Tools for After Effects - LinkedIn Learning Unlock the potential of AI and machine learning tools in Adobe After Effects with this expertly designed course from LinkedIn Learning. Dive deep into the integration and application of advanced technologies to enhance your video editing and animation projects. Categ.

LinkedIn Learning

Using AI for UX Design and Research

Using AI for UX Design and Research Explore the many ways in which UX designers and researchers can ethically and inclusively leverage AI in their workflows.

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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!