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Introduction to Generative AI - Bahasa Indonesia

Google Cloud Training

Ini adalah kursus pengantar pembelajaran mikro yang bertujuan untuk mendefinisikan AI Generatif, cara penggunaannya, dan perbedaannya dari metode machine learning konvensional. Kursus ini juga mencakup Alat-alat Google yang dapat membantu Anda mengembangkan aplikasi AI Generatif Anda sendiri.

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What's inside

Syllabus

Pengantar AI Generatif
Ini adalah kursus pengantar pembelajaran mikro yang bertujuan untuk mendefinisikan AI Generatif, cara penggunaannya, dan perbedaannya dari metode machine learning konvensional. Kursus ini juga mencakup Alat-alat Google yang dapat membantu Anda mengembangkan aplikasi AI Generatif Anda sendiri.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Kursus ini untuk semua orang, termasuk pemula karena topik yang dibahas bersifat dasar
Kursus ini diperkaya dengan toolkit Google yang dapat diaplikasikan langsung pada pengembangan aplikasi AI Generatif
Kursus ini membantumu memahami perbedaan AI Generatif dengan machine learning konvensional

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Career center

Learners who complete Introduction to Generative AI - Bahasa Indonesia will develop knowledge and skills that may be useful to these careers:
Data Scientist
If you are looking to become a Data Scientist, this course, Introduction to Generative AI, may be useful to you. As a Data Scientist, you would use machine learning algorithms to extract insights from data. These insights may drive business decisions and actions. The course can help get you started in this field, as Generative AI can extract previously unknown patterns from data.
Machine Learning Engineer
If you want to become a Machine Learning Engineer, then this course, Introduction to Generative AI, may be helpful to your career goals. As a Machine Learning Engineer, you will develop machine learning models to solve problems. This course can help you get started by giving an introduction to Generative AI, which can explore and uncover hidden relationships in data.
AI Engineer
Introduction to Generative AI would be helpful for anyone hoping to become an AI Engineer. AI Engineers design, develop, and test AI solutions. This course will help you build a foundation for understanding Generative AI, which is a rapidly advancing field. By completing this course, you will be ahead of the competition.
Data Analyst
If you want to become a Data Analyst, then you will find this Introduction to Generative AI course helpful. Data Analysts uncover patterns and trends in data and help businesses make better decisions. This course can help you get started in the field, as Generative AI can explore and uncover hidden relationships in data.
Software Engineer
This course, Introduction to Generative AI, may be helpful if you are looking to become a Software Engineer. Software Engineers design, develop, and test software applications. This course can help you get started in the field, as Generative AI is becoming increasingly important. By completing this course, you will be better suited to work in this growing field.
Computer Programmer
For anyone looking to become a Computer Programmer, you will need to develop your knowledge of Generative AI. This course, Introduction to Generative AI, is a great place to start. Computer Programmers write and test code that makes computers perform tasks. Generative AI is being used to automate programming tasks. By taking this course, you can stay ahead of the curve.
Computer Scientist
If you plan to become a Computer Scientist, then this course, Introduction to Generative AI, may be useful for you. Computer Scientists conduct research in the field of computer science, and Generative AI is an important area of study. By completing this course, you will be better prepared to enter this competitive field.
AI Researcher
For anyone looking to become an AI Researcher, this course, Introduction to Generative AI, is a good place to start. AI Researchers conduct research in the field of artificial intelligence, and Generative AI is a rapidly growing area of study. By completing this course, you will be better prepared to enter this competitive field.
Data Engineer
If you are looking to become a Data Engineer, then you should consider taking this course, Introduction to Generative AI, to advance your career. Data Engineers design, build, and maintain data pipelines. Generative AI is becoming increasingly important in this field, and this course will help you develop the skills you need to succeed.
Product Manager
For anyone looking to become a Product Manager, this course, Introduction to Generative AI, may be useful for you. Product Managers work to develop and launch new products. Generative AI is being used to create new products and improve existing ones. By taking this course, you can stay ahead of the curve.
Operations Research Analyst
If you want to become an Operations Research Analyst, then you should take this course, Introduction to Generative AI, to excel in this field. Operations Research Analysts develop and apply mathematical models to solve complex problems. Generative AI is being used to automate many of the tasks that Operations Research Analysts perform. By taking this course, you can stay ahead of the curve.
Quantitative Analyst
This course, Introduction to Generative AI, is a great option for those looking to become a Quantitative Analyst. Quantitative Analysts use mathematical and statistical techniques to analyze financial data. Generative AI is being used to automate many of the tasks that Quantitative Analysts perform. By taking this course, you can stay ahead of the curve.
Financial Analyst
If you are looking to become a Financial Analyst, then this course, Introduction to Generative AI, will help you achieve your goals. Financial Analysts provide financial advice to individuals and businesses. Generative AI is being used to automate many of the tasks that Financial Analysts perform. By taking this course, you can stay ahead of the curve.
Business Analyst
For anyone looking to become a Business Analyst, this course, Introduction to Generative AI, is a great place to start. Business Analysts analyze business processes and make recommendations for improvement. Generative AI is being used to automate many of the tasks that Business Analysts perform. By taking this course, you can stay ahead of the curve.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Introduction to Generative AI - Bahasa Indonesia.
Buku ini adalah referensi klasik tentang AI, memberikan dasar yang kuat untuk memahami AI Generatif.
Buku ini menyelidiki transformer, arsitektur jaringan saraf yang telah merevolusi pemrosesan bahasa alami, yang penting untuk banyak aplikasi AI Generatif.
Buku ini memberikan dasar yang kuat dalam pembelajaran penguatan, teknik yang digunakan dalam banyak aplikasi AI Generatif.
Buku ini menyediakan pengantar ringkas dan mudah diakses ke pembelajaran mesin, yang dapat bermanfaat sebagai bahan pengantar sebelum mempelajari AI Generatif.
Buku ini memberikan tinjauan umum tentang AI Generatif, membahas sejarah, pendekatan, dan tantangannya. Meskipun tidak membahas alat Google secara khusus, buku ini memberikan landasan yang kuat untuk memahami konsep AI Generatif.
Buku ini memberikan pengantar yang mudah diakses tentang AI secara umum, termasuk AI Generatif. Sangat cocok untuk pelajar yang mencari dasar-dasar AI dan ingin memahami bagaimana AI Generatif cocok dengan bidang tersebut.
Buku ini berfokus pada pembelajaran mendalam, yang merupakan dasar untuk banyak aplikasi AI Generatif. Meskipun tidak membahas AI Generatif secara khusus, buku ini memberikan pemahaman yang baik tentang konsep dan teknik pembelajaran mendalam.
Buku ini memberikan pengantar yang komprehensif tentang pembelajaran mendalam menggunakan Python. Meskipun tidak membahas AI Generatif secara khusus, buku ini memberikan pemahaman yang baik tentang konsep dan teknik pembelajaran mendalam.
Buku ini memberikan panduan praktis tentang pembelajaran mesin menggunakan berbagai alat dan pustaka. Meskipun tidak membahas AI Generatif secara khusus, buku ini memberikan pemahaman yang baik tentang konsep dan teknik pembelajaran mesin.

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