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Explore the Food Science Course Catalog
Google Cloud
Skills you'll gain: Generative AI, Prompt Engineering, Google Workspace, Document Management, Technical Writing
Skills you'll gain: Artificial Intelligence, Data Ethics, Data Analysis, Software Visualization, Exploratory Data Analysis, Technical Documentation, Applied Machine Learning, Machine Learning Methods, Machine Learning
Google Cloud
Skills you'll gain: Google Sheets, Google Workspace, Generative AI, Spreadsheet Software, Prompt Engineering, Data Management
- Status: New
Google Cloud
Skills you'll gain:
- Status: New
Skills you'll gain:
Google Cloud
Skills you'll gain: Large Language Modeling, Google Cloud Platform, Natural Language Processing, Text Mining, Applied Machine Learning
- Status: New
Google Cloud
Skills you'll gain:
Google Cloud
Skills you'll gain: Google Cloud Platform, Kubernetes, Prompt Engineering, Cloud Infrastructure, Infrastructure as Code (IaC), Application Deployment, Generative AI, Cloud Computing Architecture, Shell Script
- Status: New
Skills you'll gain: Exploratory Data Analysis, Data Processing, Data Pipelines, Data Manipulation, Big Data, Google Cloud Platform, Data Transformation, Data Visualization Software, Generative AI Agents, SQL, Artificial Intelligence and Machine Learning (AI/ML), Debugging
- Status: New
Skills you'll gain:
Skills you'll gain: Data Ethics, Artificial Intelligence, Google Cloud Platform, Tensorflow, Applied Machine Learning, Data Validation
University of Huddersfield
Skills you'll gain:
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In summary, here are 10 of our most popular food science courses
- Gemini in Google Docs - 한국어: Google Cloud
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- Gemini in Google Sheets - Português Brasileiro: Google Cloud
- Google Cloud 기반 데이터 분석 입문: Google Cloud
- Introduction à l'analyse de données sur Google Cloud : Google Cloud
- Vector Search and Embeddings - Français: Google Cloud
- Pengantar Analisis Data di Google Cloud: Google Cloud
- Gemini for Cloud Architects - 日本語版: Google Cloud
- Boost Productivity with Gemini in BigQuery - 繁體中文: Google Cloud
- Créer des embeddings et utiliser la recherche vectorielle et le RAG avec BigQuery: Google Cloud