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Google Cloud Training

Kursus ini memperkenalkan Generative AI Studio, yaitu produk di Vertex AI yang dapat membantu Anda membuat prototipe dan menyesuaikan model AI generatif, sehingga Anda dapat menggunakan kemampuan model tersebut dalam aplikasi Anda. Dalam kursus ini, Anda akan mempelajari apa itu Generative AI Studio, berbagai fitur dan opsinya, serta cara menggunakannya, dengan mengkaji langkah demi langkah yang ditunjukkan dalam demo produk tersebut. Di bagian akhir, terdapat lab praktik untuk menerapkan apa yang telah Anda pelajari dan kuis untuk menguji pengetahuan Anda.

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What's inside

Syllabus

Pengantar Generative AI Studio
Kursus ini memperkenalkan Generative AI Studio, yaitu produk di Vertex AI yang dapat membantu Anda membuat prototipe dan menyesuaikan model AI generatif, sehingga Anda dapat menggunakan kemampuan model tersebut dalam aplikasi Anda. Dalam kursus ini, Anda akan mempelajari apa itu Generative AI Studio, berbagai fitur dan opsinya, serta cara menggunakannya, dengan mengkaji langkah demi langkah yang ditunjukkan dalam demo produk tersebut. Di bagian akhir, terdapat lab praktik untuk menerapkan apa yang telah Anda pelajari dan kuis untuk menguji pengetahuan Anda.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Kursus ini cocok untuk orang-orang yang ingin belajar tentang Generative AI Studio
Kursus ini dirancang untuk pengembang yang ingin belajar bagaimana menggunakan Generative AI Studio untuk membangun aplikasi AI generatif
Kursus ini kemungkinan besar diajarkan oleh pakar di bidang AI generatif. (Disimpulkan dari nama instruktur: Google Cloud Training)
Kursus ini memberikan pemahaman dasar tentang Generative AI Studio, sehingga cocok untuk pemula
Kursus ini menggunakan metode pembelajaran campuran, dengan demo produk dan lab praktik, sehingga memudahkan pemahaman

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to Generative AI Studio - Bahasa Indonesia with these activities:
Ikuti tutorial tentang penggunaan Generative AI Studio
Mengikuti tutorial akan memandu Anda langkah demi langkah dalam menggunakan Generative AI Studio, sehingga Anda dapat memanfaatkannya secara efektif dalam proyek Anda.
Browse courses on Generative AI Studio
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  • Temukan tutorial tentang Generative AI Studio
  • Ikuti langkah-langkah yang diuraikan dalam tutorial
  • Eksperimen dengan berbagai fitur dan opsi Generative AI Studio
Show all one activities

Career center

Learners who complete Introduction to Generative AI Studio - Bahasa Indonesia will develop knowledge and skills that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineers are responsible for designing, building, and deploying machine learning models. They work closely with Data Scientists to identify the right data and features to use for training models. Generative AI Studio can help Machine Learning Engineers build more powerful and scalable models by providing access to pre-built components and tools for model optimization.
AI Engineer
AI Engineers are responsible for building and maintaining AI systems. They work with Data Scientists and Machine Learning Engineers to bring AI models into production. Generative AI Studio can help AI Engineers build more robust and reliable AI systems by providing tools for model monitoring and management.
Data Scientist
Data Scientists are responsible for collecting, cleaning, and analyzing data to find patterns and trends. They use this information to build models that can predict future outcomes or make recommendations. Generative AI Studio can help Data Scientists build more accurate and efficient models by providing access to pre-trained models and tools for fine-tuning and customization.
Data Analyst
Data Analysts collect, clean, and analyze data to find insights that can help businesses make better decisions. Generative AI Studio can help Data Analysts build more accurate and efficient models by providing access to pre-trained models and tools for statistical analysis and data visualization.
Financial Analyst
Financial Analysts analyze financial data to make recommendations for investment and financial planning. Generative AI Studio can help Financial Analysts build more powerful and persuasive recommendations by providing access to pre-trained models and tools for data analysis and visualization.
Risk Analyst
Risk Analysts identify and manage risks to an organization's operations and financial performance. Generative AI Studio can help Risk Analysts build more accurate and sophisticated models for risk assessment and forecasting.
Product Manager
Product Managers are responsible for defining and managing the product roadmap. They work with engineers and designers to bring new products to market. Generative AI Studio can help Product Managers build more successful products by providing access to pre-trained models and tools for user research and market analysis.
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment decisions. Generative AI Studio can help Quantitative Analysts build more accurate and sophisticated models by providing access to pre-trained models and tools for statistical analysis and data visualization.
Actuary
Actuaries use mathematical and statistical models to assess and manage risk in the insurance industry. Generative AI Studio can help Actuaries build more accurate and sophisticated models for risk assessment and pricing.
Computer Scientist
Computer Scientists research and develop new algorithms and techniques for solving problems. They also design and build software systems. Generative AI Studio can help Computer Scientists build more innovative and efficient software systems by providing access to pre-trained models and tools for natural language processing and computer vision.
Software Developer
Software Developers design, build, and maintain software applications. They work with users to identify needs and develop software solutions. Generative AI Studio can help Software Developers build more engaging and user-friendly applications by providing access to pre-trained models and tools for natural language processing and computer vision.
Insurance Analyst
Insurance Analysts analyze data to underwrite insurance policies and determine premiums. Generative AI Studio can help Insurance Analysts build more accurate and efficient models for risk assessment and pricing.
Underwriter
Underwriters assess and approve applications for insurance coverage. Generative AI Studio can help Underwriters build more accurate and efficient models for risk assessment and pricing.
Business Analyst
Business Analysts help organizations improve their performance by identifying and solving problems. They use data and analytics to make recommendations for process improvement and strategic planning. Generative AI Studio can help Business Analysts build more powerful and persuasive recommendations by providing access to pre-trained models and tools for data analysis and visualization.
Statistician
Statisticians collect, analyze, and interpret data to draw conclusions about the world around us. Generative AI Studio can help Statisticians build more accurate and efficient models for data analysis and visualization.

Reading list

We've selected 15 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 Studio - Bahasa Indonesia.
Buku ini memberikan pengantar tentang GAN, jenis model AI generatif yang populer. Ini mencakup dasar-dasar, arsitektur, dan aplikasi GAN, memberikan pemahaman yang kuat tentang teknologi ini.
Buku ini memberikan panduan praktis untuk menggunakan R untuk pembelajaran mesin. Ini mencakup teknik dan algoritma untuk memahami, memprediksi, dan memodelkan data.
Buku ini memberikan pengantar tentang model grafis probabilistik, dasar teoretis penting untuk memahami model AI generatif. Ini mencakup topik-topik seperti distribusi probabilitas, inferensi, dan aplikasi dalam pembelajaran mesin.
Buku ini memberikan pengantar yang komprehensif untuk pembelajaran mendalam. Ini mencakup teori, teknik, dan implementasi praktis.
Buku ini memberikan pengantar yang komprehensif untuk model grafis probabilistik. Ini mencakup teori, algoritma, dan aplikasi.
Buku ini memberikan panduan praktis untuk menggunakan pembelajaran mesin untuk menyelesaikan masalah dunia nyata. Ini mencakup studi kasus dan contoh kode.
Buku ini memberikan pengantar yang komprehensif untuk pemrosesan bahasa alami. Ini mencakup teknik dan algoritma untuk memahami, menghasilkan, dan menerjemahkan teks.
Meskipun fokus pada penglihatan komputer, buku ini memberikan wawasan yang berharga tentang teknik pembelajaran mesin dan visi komputer yang mendasari model AI generatif. Ini memberikan dasar yang kuat untuk memahami aplikasi AI generatif dalam penglihatan komputer.
Meskipun fokus pada pembelajaran penguatan, buku ini memberikan wawasan berharga tentang teknik pembelajaran mesin dan penguatan yang mendasari model AI generatif. Ini memberikan dasar yang kuat untuk memahami aplikasi AI generatif dalam pembelajaran penguatan.
Buku ini memberikan pengantar yang mudah dipahami dan tidak memerlukan prasyarat untuk pembelajaran mesin. Ini mencakup konsep inti, algoritma, dan aplikasi.
Buku ini memberikan pengantar singkat dan ringkas tentang pembelajaran mesin, yang mencakup konsep dan algoritma dasar. Ini berfungsi sebagai referensi yang nyaman untuk meninjau konsep-konsep utama atau sebagai titik awal untuk studi lebih lanjut.

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