AI courses

2016 Courses

Coursera

Elevate Team Productivity with Crew AI

Join our course and explore how Crew AI supercharges productivity with its innovative framework. Gain the skills to create and manage multi-agent systems that enhance team efficiency through engaging videos and practical demos. Learn to design workflows, integrate AI tools, and apply them to real-world projects. As a participant, you'll be equ.

Coursera

Google Prompting Essentials

Are you eager to utilize generative AI tools but unsure where to begin? Google Prompting Essentials offers a comprehensive guide on crafting clear and specific instructions for AI, known as prompting. Through a straightforward 5-step process, you will master effective prompting and fully harness the benefits of AI. Engage in hands-on exercises.

FutureLearn

Practical Machine Learning for AI: Foundational Skills and Experiments

Unlock the potential of machine learning and take your first steps towards mastering this revolutionary technology. Enroll in this course to uncover its fundamental principles, understand ethical considerations, and gain practical skills that set you apart in artificial intelligence. Machine learning is at the core of today’s AI advancement.

University of California, Davis

AI for Knowledge Workers

Enroll Now - Enhance your skills in AI with the University of California, Davis through Coursera. This beginner-friendly course is your gateway to understanding AI, from Machine Learning to Generative AI, enabling you to transform your approach to both creative and critical thinking tasks in the workplace. Learn to harness AI technologies like.

CodeSignal

Advanced Techniques in Prompt Engineering

Join the Advanced Techniques in Prompt Engineering course offered by CodeSignal to unlock innovative strategies for crafting impactful AI prompts. This course is designed to elevate your skills in brainstorming, optimizing system prompts, employing the chain of thought method, and iterative construction. Whether you're seasoned in AI or new t.

CodeSignal

Neural Networks Basics from Scratch

Embark on an in-depth exploration of Neural Networks and their pivotal role in modern AI with our comprehensive course. Gain hands-on experience by manually implementing foundational AI tools such as Perceptrons, activation functions, and the integral components of multi-layer Neural Networks. Delve into the core mechanisms without relying o.

Understanding LLMs and Basic Prompting Techniques

Join our comprehensive course, "Understanding LLMs and Basic Prompting Techniques," designed to equip learners with essential knowledge about Large Language Models (LLMs) and the art of crafting effective prompts. Uncover the mechanisms behind popular models such as GPT-3.5, GPT-4, LLaMA, and Claude 2, and learn how they generate coherent text.

AWS Skill Builder

Exam Prep Official Pretest: AWS Certified AI Practitioner (AIF-C01 - Japanese)

The Exam Prep Official Pretest for AWS Certified AI Practitioner (AIF-C01 - Japanese) comprises 65 questions with a 90-minute time limit, designed to align with the AIF-C01 exam version and its guide. About the AWS Certified Pretest Created by AWS experts, this pretest mirrors the actual exam's length, helping you practice confidently for exam d.

AWS Skill Builder

Exam Prep Official Pretest: AWS Certified AI Practitioner (AIF-C01 - Korean)

Get ready for the AWS Certified AI Practitioner (AIF-C01 - Korean) exam with this thorough preparatory test. The Exam Prep Official Pretest includes 65 questions, mirroring the actual exam format and adhering to the AIF-C01 guidelines. You will have 90 minutes to complete this comprehensive pretest. Introducing the AWS Certification Pretest Creat.

AWS Skill Builder

Simulado oficial de recursos para exames : AWS Certified AI Practitioner (AIF-C01 - Português (Brasil)) | Exam Prep Official Pretest: AWS Certified AI Practitioner (AIF-C01 - Portuguese (Brazil))

Prepare-se para o AWS Certified AI Practitioner (AIF-C01), em Português (Brasil), com um simulado oficial que contém 65 perguntas a serem respondidas em 90 minutos. Este pré-teste reflete a versão do exame AIF-C01, seguindo rigorosamente o guia do exame. Sobre os pré-testes AWS Certification Aumente sua confiança para o dia do exame com um pré-te.

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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!