Snowpark has become an essential framework for modern data engineering, analytics, and machine learning workflows. This course equips learners with the skills to leverage Snowpark effectively and apply it across real-world data challenges.
The Ultimate Guide to Snowpark
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您将学到什么
Harness Snowpark with Python for diverse workloads.
Develop robust data pipelines using Snowpark.
Deploy and operate machine learning models with Snowpark.
您将获得的技能
- MLOps (Machine Learning Operations)
- Data Analysis
- Data Science
- Data Pipelines
- Cloud Computing
- Application Deployment
- Data Import/Export
- Data Processing
- Data Transformation
- Containerization
- Pandas (Python Package)
- Snowflake Schema
- Python Programming
- Large Language Modeling
- SQL
- Machine Learning
- Model Deployment
- Application Development
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最近已更新！
January 2026
作业
8 项作业
授课语言：英语（English）
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该课程共有8个模块
In this section, we explore Snowpark's Python integration, scalability, and applications in data engineering and science.
涵盖的内容
2个视频1篇阅读材料1个作业
In this section, we explore configuring the Snowpark environment, structuring projects, and using Python worksheets for efficient data application development with Snowpark.
涵盖的内容
1个视频7篇阅读材料1个作业
In this section, we explore data ingestion, transformation, and analysis using Snowpark. Key concepts include CSV, JSON, and Parquet loading, DataFrame operations, and pandas integration for efficient data workflows.
涵盖的内容
1个视频6篇阅读材料1个作业
In this section, we explore building resilient data pipelines with Snowpark, deploying efficient DataOps, and implementing logging and tracing for reliable data delivery.
涵盖的内容
1个视频6篇阅读材料1个作业
In this section, we explore data science workflows in Snowpark, focusing on data preparation, ML model training, and efficient processing in Data Cloud for scalable applications.
涵盖的内容
1个视频5篇阅读材料1个作业
In this section, we explore deploying ML models in Snowpark, managing model data with feature stores, and tracking metrics and versions in registries for scalable and reproducible workflows.
涵盖的内容
1个视频5篇阅读材料1个作业
In this section, we explore building, publishing, and managing native applications using Snowpark. Key concepts include framework components, marketplace distribution, and version control for efficient data workflows.
涵盖的内容
1个视频4篇阅读材料1个作业
In this section, we explore deploying containerized applications and large language models (LLMs) using Snowpark Container Services. It covers setup, job configuration, and efficient resource management for data-centric workflows.
涵盖的内容
1个视频5篇阅读材料1个作业
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常见问题
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.
更多问题
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