Snowflake Reviews on Courses, Pricing, Features & Career Impact

Listed below are some of the main reasons why one should take up online courses at Snowflake:

• Flexibility: Online courses at Snowflake provide flexibility in terms of scheduling. Learners can study at their own pace and convenience, accommodating busy schedules and varying time zones.
• Career Advancement: Knowledge and certification in Snowflake can open doors to new career opportunities or advancements within current roles, especially in data engineering, analytics, or data science fields.
• Enhanced Skills: Participants can develop practical skills in using Snowflake, including data warehousing, data management, and advanced analytics, which are valuable in today's data-driven business environment.
• Specialized Knowledge: Snowflake courses provide in-depth, specialized knowledge about the Snowflake platform, its architecture, and best practices for implementation and optimization.
• Diverse Learning Formats: Snowflake offers a variety of online learning formats, such as video lectures, interactive modules, quizzes, and forums, catering to different learning preferences and enhancing engagement.
• Certification Opportunities: Many online courses at Snowflake offer certifications upon completion, validating proficiency and enhancing credibility for learners seeking career advancement or professional recognition.

Snowflake Education Services provides a range of educational offerings, as follows -

Instructor-Led Training: Snowflake Education Services offers instructor-led classes, on-demand courses, and self-directed learning options. These resources are designed to support individuals and teams at various stages of their data initiatives, whether they are new to Snowflake or engaged in advanced data projects. The training is structured so that the course takers gain practical experience.

Certifications: The SnowPro certification program consists of two main tiers: the SnowPro Core and the SnowPro Advanced.

• SnowPro Core Certification: The SnowPro Core Certification is a foundational credential for individuals seeking to demonstrate their expertise in implementing and migrating to the Snowflake platform. This certification validates the course takers' comprehensive understanding of Snowflake's features and capabilities. They learn how to design, develop, and manage secure and scalable solutions within the Snowflake environment.
• SnowPro Advanced Certification: The SnowPro Advanced Certifications assess advanced knowledge and skills related to the Snowflake platform. This certification series includes five role-based options: Architect, Data Engineer, Data Scientist, Administrator, and Data Analyst. Each certification is designed for practitioners and requires 1 - 2 years of hands-on work with Snowflake. The exams focus on scenario-based questions that evaluate proficiency in applying Snowflake's features in real-world contexts.

Recertification Exams: Snowflake also conducts recertification exams to maintain your certified SnowPro status. Recertification exams are offered at a reduced price.

Snowflake For Academia: Snowflake offers free access to its data platform, educational resources, and hands-on learning opportunities for students and educators. The program aims to bridge the skills gap in AI, data, and cloud technologies.

As of April 2025, Snowflake launched three courses, as mentioned below -

Snowflake Snowpark Application Developer Training

Snowflake Snowpark Application Developer Training focuses on the key features of Snowpark for developing applications within the Snowflake environment. It is intended for professionals building Snowpark application solutions. The course emphasizes developer capabilities rather than core programming skills and includes lectures, demonstrations, hands-on labs, and discussions.

Duration: 1 Day

Prerequisites

• Completion of "Snowpark DataFrame Programming" or equivalent knowledge of DataFrame programming, including PySpark, UDFs, and stored procedures.
• Familiarity with Snowflake accounts, roles, virtual warehouses, and database objects.
• Experience with data warehousing and Python programming.
• Basic knowledge of SQL and Snowflake objects.

Skills Acquired

• Understanding and using Snowflake’s notebook features.
• Creating and working with Snowflake Notebooks.
• Developing reusable code with User-Defined Table Functions (UDTFs).
• Managing tables using Data Manipulation Language (DML).
• Solving problems using Python Worksheets in Snowsight.
• Logging activities for Snowflake programs.
• Utilizing pandas within Snowflake.
• Processing unstructured data through User-Defined Functions (UDFs) and stored procedures.

Who Should Attend

• Data Engineers
• Data Scientists
• Application Developers
• Database Architects and Administrators
• Data Analysts with programming experience

Snowflake GenAI Training

Snowflake GenAI Training offers an introduction to the Generative AI (GenAI) capabilities within Snowflake. The course enables learners to integrate GenAI features into their analytical workflows.

Prerequisites

• Basic SQL knowledge.
• Foundational understanding of databases.
• Completion of the "Snowflake Foundations" course or equivalent knowledge.
• Completion of relevant on-demand modules, such as "Snowflake x GenAI: A Cool Collab" and "Snowflake x GenAI: LLM Functions."

Skills Acquired

• Summarizing Snowflake’s GenAI capabilities for enterprise applications.
• Using Snowflake Cortex tools such as Document AI, Copilot, Cortex Analyst, and Cortex Search.
• Understanding enterprise AI governance considerations.
• Applying best practices for GenAI implementation and cost management.

Who Should Attend

• Administrators
• Application Developers
• Data Analysts
• Data Engineers and Scientists
• Snowflake users seeking to adopt GenAI capabilities

Snowflake Well-Architected Training

This on-demand course enables individuals to fully understand the Snowflake Well-Architected Framework (WAF). It focuses on laying a roadmap for continuous improvement of the Snowflake AI Data Cloud.

Prerequisites

• Basic knowledge of the Snowflake AI Data Cloud and its platform capabilities.
• Familiarity with data architecture, governance, and management principles.
• Experience with cloud computing and data platform architectures.
• Knowledge of hyperscaler well-architected frameworks applicable to the organization.

Skills Acquired

• Understanding the purpose, structure, and six pillars of the Snowflake Well-Architected Framework.
• Conducting assessments using WAF methodology and tools.
• Developing actionable improvement plans based on WAF reviews.
• Effectively communicating WAF outcomes to stakeholders, including C-level executives.
• Aligning WAF findings with organizational data strategies and goals.
• Establishing a regular review cadence for ongoing improvements.

Who Should Attend

• C suite (e.g., CIOs, CDOs, CTOs)
• Data and analytics management professionals
• Enterprise and solution architects
• Data professionals (e.g., Data Engineers, Data Scientists, DevOps Engineers)
• Strategic consultants with expertise in well-architected frameworks

Snowflake Virtual Hands-on Labs are interactive classes aimed at teaching learners how to use different features of the Snowflake Data Cloud. They are generally instructor-led sessions and allow attendees to follow along in their trial accounts. The attendees can benefit from the real-time expertise of product professionals. Some of the upcoming hands-on labs include -

• Virtual Hands-on Lab: From Queries to Conversations – BI meets AI with Cortex Analyst
• Virtual Hands-on Lab: From Zero to Snowflake in 90 Minutes
• Virtual Hands-on Lab: Build Data Engineering pipelines using Snowpark in Snowflake Notebooks
• Zero to Snowflake
• Build Declarative Streaming Data Pipelines with Dynamic Tables
• Zero to Snowflake in 90 Minutes
• Virtual Hands-on Lab: From Zero to Snowflake in 90 Minutes
• Virtual Hands-on Lab: No-Code Generative AI for Business Insights: Amazon SageMaker Canvas, Amazon Bedrock, and Snowflake in Action