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Pengantar AI dan Machine Learning di Google Cloud

Instructor: Google Cloud Training

Included with

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6 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

No prior experience required

8 hours to complete

Flexible schedule

Learn at your own pace

6 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

No prior experience required

8 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Mengenali teknologi dan alat data ke AI yang disediakan oleh Google Cloud.
Membangun project AI generatif menggunakan multimodal Gemini, perintah yang efisien, dan builder agen AI.
Memilih berbagai opsi produk Google Cloud untuk mengembangkan project AI.
Membuat model ML secara menyeluruh menggunakan Vertex AI.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 assignments

Taught in Indonesian

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There are 6 modules in this course

Kursus ini memperkenalkan kemampuan AI dan machine learning (ML) Google Cloud, dengan fokus pada pengembangan project AI generatif dan prediktif. Kursus ini akan membahas berbagai teknologi, produk, dan alat yang tersedia di seluruh siklus proses data ke AI, yang memberdayakan data scientist, developer AI, dan engineer ML untuk meningkatkan keahlian mereka melalui latihan interaktif.

Pelajaran ini memandu peserta dalam memahami struktur kursus, yang dibangun berdasarkan framework AI tiga lapisan: infrastruktur, pengembangan, dan solusi AI. Modul ini menguraikan tujuan pembelajaran dan memperkenalkan peserta pada rangkaian alat pengembangan AI full-stack komprehensif dari Google.

What's included

1 video

Pembahasan modul ini diawali dengan kasus penggunaan yang menunjukkan kemampuan AI. Kemudian, fokusnya beralih pada infrastruktur AI seperti komputasi dan penyimpanan. Modul ini juga menjelaskan data utama dan produk pengembangan AI di Google Cloud. Terakhir, modul ini menunjukkan cara menggunakan BigQuery ML untuk membangun model ML, yang membantu transisi dari data ke AI.

What's included

7 videos1 reading1 assignment1 app item

7 videos Total 37 minutes

Kasus penggunaan 6 minutes
AI di Google Cloud 5 minutes
Infrastruktur AI 7 minutes
Model AI 6 minutes
BigQuery ML 6 minutes
Coursera: Mulai Menggunakan Google Cloud Platform dan Qwiklabs 5 minutes
Ringkasan 3 minutes

1 reading Total 10 minutes

Bacaan 10 minutes

1 assignment Total 10 minutes

Kuis. 10 minutes

1 app item Total 60 minutes

Lab: Memprediksi Pembelian oleh Pengunjung dengan BigQuery ML 60 minutes

Modul ini memperkenalkan AI generatif, kemajuan AI terbaru, dan toolkit Google Cloud untuk mengembangkan project AI generatif. Modul ini dimulai dengan memeriksa model dasar. Kemudian, modul ini menginvestigasi siklus proses perintah ke produksi dengan Vertex AI Studio, termasuk rekayasa perintah, deployment aplikasi, dan penyesuaian model. Selain itu, modul ini juga membahas agen AI dan alat pengembangan agen AI full stack dari Google.

What's included

8 videos1 reading1 assignment1 app item

8 videos Total 57 minutes

AI Generatif di Google Cloud 4 minutes
Model dasar 8 minutes
Dari ide menjadi aplikasi 10 minutes
Rekayasa perintah 8 minutes
Deployment dan penyesuaian model 8 minutes
Agen AI 7 minutes
Membangun agen dengan Google Cloud 9 minutes
Ringkasan 3 minutes

1 reading Total 10 minutes

Bacaan 10 minutes

1 assignment Total 10 minutes

Kuis. 10 minutes

1 app item Total 45 minutes

Lab: Mulai menggunakan Vertex AI Studio 45 minutes

Modul ini membahas berbagai opsi untuk mengembangkan project ML di Google Cloud, mulai dari solusi siap pakai seperti API terlatih, hingga solusi tanpa coding dan low-code seperti AutoML, serta solusi berbasis kode seperti pelatihan kustom. Modul ini membandingkan kelebihan dan kekurangan dari setiap opsi untuk membantu menentukan alat pengembangan yang tepat.

What's included

7 videos1 reading1 assignment1 app item

7 videos Total 30 minutes

Opsi pengembangan AI 5 minutes
Vertex AI 4 minutes
AutoML 5 minutes
API terlatih 4 minutes
Pelatihan kustom 6 minutes
Pengantar lab 5 minutes
Ringkasan 1 minute

1 reading Total 10 minutes

Bacaan 10 minutes

1 assignment Total 12 minutes

Kuis. 12 minutes

1 app item Total 45 minutes

Lab: Analisis entity dan sentimen menggunakan Natural Language API 45 minutes

Modul ini membahas alur kerja ML, mulai dari persiapan data, hingga pengembangan model dan penyajian model di Vertex AI. Modul ini juga mengilustrasikan cara mengonversi alur kerja ke dalam pipeline otomatis menggunakan Vertex AI Pipelines.

What's included

8 videos1 reading1 assignment1 app item

8 videos Total 40 minutes

Alur kerja ML 4 minutes
Persiapan data 3 minutes
Pengembangan model 6 minutes
Penyajian model 3 minutes
MLOps dan otomatisasi alur kerja 6 minutes
Pengantar lab (opsional) 4 minutes
Cara mesin belajar (opsional) 11 minutes
Ringkasan 1 minute

1 reading Total 10 minutes

Bacaan 10 minutes

1 assignment Total 10 minutes

Kuis. 10 minutes

1 app item Total 60 minutes

Lab: Vertex AI: Memprediksi Risiko Pinjaman dengan AutoML (opsional) 60 minutes

Pelajaran ini merangkum kursus dengan membahas konsep, alat, teknologi, dan produk terpenting untuk setiap modul.

What's included

1 video2 readings

Instructor

Google Cloud Training

Google Cloud

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Frequently asked questions

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.