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California Institute of Technology AWS Skill Builder

Responsible Artificial Intelligence Practices (한국어)

In this course, you will explore responsible AI practices. It begins with an introduction to what responsible AI means, including defining responsible AI, understanding the challenges it seeks to overcome, and exploring its core elements. Next, the course delves into various topics for developing responsible AI systems and introduces the services.
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California Institute of Technology AWS Skill Builder

Exploring Artificial Intelligence Use Cases and Applications (한국어)

이 과정에서는 다양한 산업의 실제 인공 지능, 기계 학습(ML) 및 생성형 인공 지능(생성형 AI) 사용 사례를 살펴봅니다. 이러한 산업에는 의료, 금융, 마케팅, 엔터테인먼트 등이 포함됩니다. 또한 AI, ML, 생성형 AI의 기능 및 제한 사항, 모델 선택 기법, 주요 비즈니스 지표에 대해서도 알아봅니다. 과정 수준: 기초 소요 시간: 1시간 이 과정에는 대화형 요소,.
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California Institute of Technology AWS Skill Builder

Developing Generative Artificial Intelligence Solutions (한국어)

이 과정에서는 다음을 포함하는 생성형 인공 지능(생성형 AI) 애플리케이션 수명 주기를 살펴봅니다. 비즈니스 사용 사례 정의 파운데이션 모델(FM) 선택 FM 성능 개선 FM 성능 평가 배포 및 비즈니스 목표에 미치는 영향 이 과정은 생성형 AI 입문 과정으로, 프롬프트 엔지니어링, 검색 증강 생성(RAG), 파인 튜닝을 사용한 FM 사용자 지정과 관련된 개념을.
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California Institute of Technology AWS Skill Builder

Fundamentals of Machine Learning and Artificial Intelligence (Bahasa Indonesia)

Dalam kursus ini, Anda akan belajar tentang dasar-dasar machine learning (ML) dan kecerdasan buatan (AI). Anda akan melihat berbagai bentuk hubungan antara AI, ML, deep learning, dan bidang kecerdasan buatan generatif yang sedang berkembang (AI generatif). Anda akan mendapatkan pemahaman yang sangat baik tentang istilah AI dasar, sehingga me.
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California Institute of Technology AWS Skill Builder

Responsible Artificial Intelligence Practices (ไทย)

ในหลักสูตรนี้ คุณจะได้เรียนรู้เกี่ยวกับแนวทางปฏิบัติด้าน AI ที่มีความรับผิดชอบ เริ่มต้นด้วยการเรียนรู้ว่า AI ที่มีความรับผิดชอบคืออะไร การนิยาม ความท้าทาย และมิติหลักของ AI ที่มีความรับผิดชอบ จากนั้นคุณจะเจาะลึกเกี่ยวกับการพัฒนาระบบ AI ที่มีความรับผิดชอบ พร้อมแนะนำบริการและเครื่องมือของ AWS เพื่อสนับสนุน AI ที่มีความรับผิดชอบ นอกจากนี้ คุณยังจะ.
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California Institute of Technology AWS Skill Builder

Developing Generative Artificial Intelligence Solutions (ไทย)

ในหลักสูตรนี้ คุณจะสำรวจวงจรชีวิตของแอปพลิเคชันปัญญาประดิษฐ์ช่วยสร้าง (Generative AI หรือ AI ช่วยสร้าง) ได้แก่ การกำหนดกรณีใช้งานทางธุรกิจ การเลือกโมเดลพื้นฐาน (FM) การปรับปรุงประสิทธิภาพของ FM การประเมินประสิทธิภาพของ FM การนำไปใช้จริงและผลกระทบต่อวัตถุประสงค์ทางธุรกิจ หลักสูตรนี้เป็นการปูพื้นฐานไปสู่หลักสูตร AI ช่วยสร้างหลักสูตรต.
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California Institute of Technology Udemy

Transform Your Creative Writing With ChatGPT!

Unlock the full potential of your creative writing with our comprehensive guide that integrates the innovative capabilities of ChatGPT and artificial intelligence. Whether you're an aspiring storyteller or a seasoned content creator, this course on Udemy provides you with the tools and insights to elevate your writing skills using the power of.
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California Institute of Technology Udemy

Custom GPT Mastery: Learn To Build Your Custom GPTs (2025)

Unlock the potential of AI with our comprehensive course, "Custom GPT Mastery: Learn To Build Your Custom GPTs (2025)." This course empowers you to create over 12 unique Custom GPTs, discover the intricacies of ChatGPT o1, and explore the offerings of the GPT Store. With the innovative GPT Builder, personalize your AI to fit specific needs. W.
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California Institute of Technology Udemy

LLM Fine Tuning on OpenAI

Udemy Experience the cutting-edge capabilities of OpenAI as you dive into the world of fine-tuning large language models. This course provides you with the essential knowledge and skills to customize LLMs to suit your specific datasets and applications. Join a dynamic learning journey with our expert-led sessions on a variety of topics, includi.
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California Institute of Technology Udemy

Practical Machine Learning for Data Scientists

Embark on a journey into the world of Artificial Intelligence with Udemy's Practical Machine Learning for Data Scientists course. Whether you're diving into AI for the first time or looking to sharpen your skills, this course provides a solid foundation in practical AI and ML techniques. Learn from Udemy - a leader in online education - and ga.
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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!