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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.
Register for this course and see more details by visiting:
OpenCourser.com/course/kackoy/introduction
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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
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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Activities
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your course. Deepen your understanding
during
and
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it. Supplement your coursework and achieve mastery of the topics covered
in Introduction to Generative AI - Bahasa Indonesia with these
activities:
Review the course materials before the course begins
Show steps
Get a head start on the course and make the most of your learning experience
Show steps
-
Read the course syllabus and familiarize yourself with the topics
-
Review any recommended readings or resources
Review machine learning basics
Show steps
Brush up on the fundamental concepts and algorithms of machine learning to enhance your understanding of Generative AI.
Show steps
-
Read foundational articles or textbooks on machine learning.
-
Revisit online courses or tutorials on machine learning concepts.
-
Solve practice problems and exercises related to machine learning algorithms.
Create a notebook or folder to organize your course materials
Show steps
Stay organized and improve your ability to retrieve information
Show steps
-
Create a notebook or folder for the course
-
Categorize and organize your notes, assignments, and resources
-
Regularly review and update your materials
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Review the basics of machine learning
Show steps
Get a strong foundation to help you understand generative AI concepts
Browse courses on
Machine Learning
Show steps
-
Review supervised and unsupervised learning algorithms
-
Explore different machine learning libraries and frameworks
Join a study group or online community focused on generative AI
Show steps
Connect with peers to learn from each other and stay updated on the latest developments
Show steps
-
Find and join a study group or online community
-
Participate in discussions and share your knowledge
-
Collaborate on projects or learning challenges
Experiment with Generative AI tools
Show steps
Gain hands-on experience by experimenting with various Generative AI tools and platforms to develop a practical understanding.
Show steps
-
Explore different Generative AI tools such as OpenAI's GPT-3 or Google AI's Imagen.
-
Try out different use cases and applications of Generative AI, such as text generation, image creation, or music composition.
-
Experiment with different parameters and settings to understand how they impact the output of Generative AI models.
Follow a tutorial on building a generative AI model
Show steps
Build practical skills by applying your knowledge to a real-world project
Browse courses on
Generative AI
Show steps
-
Choose a tutorial that aligns with your interests and skill level
-
Follow the tutorial step-by-step, experimenting with different parameters and techniques
-
Document your process and findings in a notebook
Curate a collection of Generative AI resources
Show steps
Gather and organize valuable resources on Generative AI to facilitate your ongoing learning and exploration.
Browse courses on
Generative AI Tools
Show steps
-
Identify and collect articles, tutorials, blog posts, and videos related to Generative AI.
-
Organize the resources into different categories or topics for easy retrieval.
-
Share your curated collection with other learners or interested individuals.
Practice using different generative AI tools and techniques
Show steps
Gain proficiency in applying generative AI to different tasks
Browse courses on
Generative AI Tools
Show steps
-
Experiment with different generative AI tools and techniques
-
Explore different datasets and scenarios to test your models
-
Analyze the results of your experiments and iterate on your models
Build a Generative AI project
Show steps
Solidify your understanding by applying what you've learned to a real-world project, showcasing your ability to use Generative AI effectively.
Browse courses on
Generative AI Applications
Show steps
-
Identify a problem or challenge that can be addressed using Generative AI.
-
Choose a suitable Generative AI tool or platform for your project.
-
Develop and train a Generative AI model tailored to your project.
-
Evaluate the performance of your Generative AI model and make necessary adjustments.
-
Present your Generative AI project, highlighting its capabilities and potential impact.
Create a blog post or article about a generative AI application
Show steps
Deepen your understanding by explaining concepts to others
Browse courses on
Generative AI Applications
Show steps
-
Choose a specific generative AI application or use case
-
Research the topic and gather relevant information
-
Write a blog post or article that explains the application, its benefits, and its potential impact
Start a project to apply your learning to a real-world problem
Show steps
Consolidate your knowledge and develop practical skills through hands-on experience
Browse courses on
Real-World Applications
Show steps
-
Identify a real-world problem that can be addressed using generative AI
-
Design and implement a generative AI solution
-
Evaluate the results and iterate on your solution
Review the course materials before the course begins
Show steps
Get a head start on the course and make the most of your learning experience
Show steps
Show steps
Show steps
- Read the course syllabus and familiarize yourself with the topics
- Review any recommended readings or resources
Review machine learning basics
Show steps
Brush up on the fundamental concepts and algorithms of machine learning to enhance your understanding of Generative AI.
Show steps
Show steps
Show steps
- Read foundational articles or textbooks on machine learning.
- Revisit online courses or tutorials on machine learning concepts.
- Solve practice problems and exercises related to machine learning algorithms.
Create a notebook or folder to organize your course materials
Show steps
Stay organized and improve your ability to retrieve information
Show steps
Show steps
Show steps
- Create a notebook or folder for the course
- Categorize and organize your notes, assignments, and resources
- Regularly review and update your materials
Nine other activities
Expand to see all activities and additional details
Show all 12 activities
Review the basics of machine learning
Show steps
Get a strong foundation to help you understand generative AI concepts
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Review supervised and unsupervised learning algorithms
- Explore different machine learning libraries and frameworks
Join a study group or online community focused on generative AI
Show steps
Connect with peers to learn from each other and stay updated on the latest developments
Show steps
Show steps
Show steps
- Find and join a study group or online community
- Participate in discussions and share your knowledge
- Collaborate on projects or learning challenges
Experiment with Generative AI tools
Show steps
Gain hands-on experience by experimenting with various Generative AI tools and platforms to develop a practical understanding.
Show steps
Show steps
Show steps
- Explore different Generative AI tools such as OpenAI's GPT-3 or Google AI's Imagen.
- Try out different use cases and applications of Generative AI, such as text generation, image creation, or music composition.
- Experiment with different parameters and settings to understand how they impact the output of Generative AI models.
Follow a tutorial on building a generative AI model
Show steps
Build practical skills by applying your knowledge to a real-world project
Browse courses on
Generative AI
Show steps
Show steps
Show steps
- Choose a tutorial that aligns with your interests and skill level
- Follow the tutorial step-by-step, experimenting with different parameters and techniques
- Document your process and findings in a notebook
Curate a collection of Generative AI resources
Show steps
Gather and organize valuable resources on Generative AI to facilitate your ongoing learning and exploration.
Browse courses on
Generative AI Tools
Show steps
Show steps
Show steps
- Identify and collect articles, tutorials, blog posts, and videos related to Generative AI.
- Organize the resources into different categories or topics for easy retrieval.
- Share your curated collection with other learners or interested individuals.
Practice using different generative AI tools and techniques
Show steps
Gain proficiency in applying generative AI to different tasks
Browse courses on
Generative AI Tools
Show steps
Show steps
Show steps
- Experiment with different generative AI tools and techniques
- Explore different datasets and scenarios to test your models
- Analyze the results of your experiments and iterate on your models
Build a Generative AI project
Show steps
Solidify your understanding by applying what you've learned to a real-world project, showcasing your ability to use Generative AI effectively.
Browse courses on
Generative AI Applications
Show steps
Show steps
Show steps
- Identify a problem or challenge that can be addressed using Generative AI.
- Choose a suitable Generative AI tool or platform for your project.
- Develop and train a Generative AI model tailored to your project.
- Evaluate the performance of your Generative AI model and make necessary adjustments.
- Present your Generative AI project, highlighting its capabilities and potential impact.
Create a blog post or article about a generative AI application
Show steps
Deepen your understanding by explaining concepts to others
Browse courses on
Generative AI Applications
Show steps
Show steps
Show steps
- Choose a specific generative AI application or use case
- Research the topic and gather relevant information
- Write a blog post or article that explains the application, its benefits, and its potential impact
Start a project to apply your learning to a real-world problem
Show steps
Consolidate your knowledge and develop practical skills through hands-on experience
Browse courses on
Real-World Applications
Show steps
Show steps
Show steps
- Identify a real-world problem that can be addressed using generative AI
- Design and implement a generative AI solution
- Evaluate the results and iterate on your solution
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
For more career information including salaries, visit:
OpenCourser.com/course/kackoy/introduction
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.
Save
Buku ini adalah referensi mendasar untuk pembelajaran mendalam, teknik yang mendasari banyak aplikasi AI Generatif.
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 membahas implikasi etika dan sosial dari AI, termasuk tantangan dalam memastikan bahwa AI selaras dengan nilai-nilai manusia.
Buku ini menyediakan pengantar ringkas dan mudah diakses ke pembelajaran mesin, yang dapat bermanfaat sebagai bahan pengantar sebelum mempelajari AI Generatif.
Save
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.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/kackoy/introduction
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Level
Introductory
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
Bahasa Indonesia
Transcript
English
Good to know
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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