SnowPro Specialty: Gen AI (GES-C02)

Expert Level

Build trusted generative AI solutions with Snowflake.

The SnowPro® Specialty: Gen AI certification validates your ability to design, build, govern, and optimize generative AI solutions in the Snowflake AI Data Cloud.

It covers Snowflake Cortex AI, retrieval-augmented generation, AI functions, document processing, model deployment, governance, observability, and cost management. The current GES-C02 blueprint reflects Snowflake’s expanding support for enterprise AI applications and governed AI agents.

Ready to prove your Snowflake generative AI expertise?

Build practical skills to create, govern, and optimize enterprise Gen AI solutions with Snowflake.

In this two-day course, participants will learn how to seamlessly integrate cutting-edge AI capabilities into their daily work, even if they’re not data scientists or Machine Learning engineers.

Learning outcomes:

  • Summarize Snowflake’s GenAI capabilities for Enterprise AI.
  • Explain how to work with Snowflake Cortex (AI Functions, Snowflake CoCo, Cortex Analyst, Cortex Search, Cortex Agents, Snowflake CoWork).
  • Define Enterprise AI governance considerations.
  • Recognize how to leverage AI observability capability.
  • Illustrate how to fine‐tune models.
  • Manage AI‐related costs effectively.

Participants will also learn about empowering business users to make faster, data-driven decisions while enabling data teams and developers to build and deploy specialized, governed AI agents rapidly.

 

Fees:

RM9,000/pax

Intakes:

13-14 Oct 2026 | 17-18 Nov 2026

What are the key skills measured:

  • Define and implement Snowflake Gen AI principles, capabilities, and best practices 

  • Use Snowflake Cortex AI features and functions, including LLMs, to meet customer use cases 

  • Build and fine-tune open-source models with Snowpark Container Services and Snowflake Model Registry 

  • Use Snowflake document processing functions to build, manage, and optimize document parsing pipelines 

Who is this for?

  • AI and machine learning engineers

  • Data scientists 

  • Data engineers

  • Data application developers

  • Data analysts with programming experience

  • Snowflake architects and technical consultants

  • Professionals responsible for AI governance or platform operations 

Why Snowflake Gen AI skills matter in 2026

92%

92% of early generative AI adopters report a positive return on their investments.

35%

35% of organizations identify insufficient employee expertise or skills as a significant barrier to successful generative AI implementation.

32%

32% of surveyed organizations already have agentic AI solutions running in production.

Validate current Snowflake AI expertise

GES-C02 covers the Snowflake capabilities used to create modern enterprise AI solutions, including Cortex AI functions, Cortex Search, Cortex Analyst, Cortex Agents, document processing, and AI observability.

Build credibility for specialist AI and data roles 

The credential provides formal evidence of Snowflake Gen AI knowledge for roles in AI engineering, data science, data engineering, application development, consulting, and architecture. 

Demonstrate more than prompt-writing knowledge

The certification addresses the complete application environment: data preparation, retrieval, model selection, deployment, governance, monitoring, and cost control. 

Support governed enterprise adoption 

Organizations need professionals who can move generative AI beyond experiments. GES-C02 validates skills for developing secure, observable, cost-conscious solutions within Snowflake’s governed data environment. 

Why choose Trainocate?

Trainocate brings more than 30 years of experience in technology, business, and professional development training. The group operates across 24 countries, combining global capabilities with local support for individuals and organizations.

Trainocate partners with Snowflake to help organizations develop the data and AI talent needed to implement and manage the Snowflake AI Data Cloud. Learners receive structured training aligned with Snowflake technologies, recommended practices, and current enterprise use cases.

Certification Details

Level:

Specialty

Role:

AI and Machine Learning Engineer, Data Engineer, Data Scientist

Product:

Snowflake Cortex

Exam Duration:

85 minutes

Exam Format:

55 multiple-choice or multiple-response questions

Exam required:

GES-C02 SnowPro® Specialty: Gen AI

Passing score:

750+
Scaled Scoring from
0 – 1000

Cost:

USD225
*Subject to applicable taxes and exchange rates

Language offered:

English, Chinese Simplified, Chinese Traditional, Arabic, French, German, Indonesian, Italian, Japanese, Korean, Portuguese-Brazilian, Russian, Spanish-Mode

Open up new possibilities for your career

Frequently Asked Questions (FAQs)

Yes, particularly for professionals working with Snowflake who want to demonstrate specialized enterprise Gen AI skills. It validates knowledge beyond general AI concepts, including Cortex AI, RAG, document processing, governance, observability, and cost management.

Pro Tip: Pursue this certification when you can connect the exam topics to practical Snowflake projects rather than treating it as a standalone credential.

It can strengthen your profile for AI engineering, data engineering, data science, application development, architecture, and technical consulting roles. It is especially relevant where employers use Snowflake to build governed AI applications on enterprise data.

Potential roles include:

  • Generative AI engineer
  • AI or machine learning engineer
  • Snowflake developer
  • Data engineer
  • Data scientist
  • AI application developer
  • Snowflake solutions architect
  • Data and AI consultant

Pro Tip: Pair the certification with a portfolio project that demonstrates Cortex Search, Cortex Analyst, document processing, or an agent-based workflow.

Organizations need specialists who can turn Gen AI experiments into secure, reliable, and cost-controlled business solutions.

Snowflake’s 2026 research found that 96% of surveyed organizations faced significant Gen AI implementation issues, including data quality, skills, integration, scalability, and performance.

Pro Tip: Develop governance, observability, and cost-management skills alongside application-building expertise because production AI requires all four.

4. How can this certification improve my career prospects?

It provides verifiable evidence that you understand how Gen AI is implemented within an enterprise data platform. This can help you move toward specialist responsibilities involving AI applications, intelligent search, document processing, governed agents, or AI platform architecture.

Pro Tip: On your résumé, connect the certification to measurable projects, such as reducing document-processing time or improving access to business data.

Yes, because SnowPro Core validates broad platform knowledge while the Gen AI specialty demonstrates deeper expertise in AI workloads. The combination shows that you understand both the Snowflake platform and the services used to build enterprise Gen AI solutions.

Pro Tip: Position the specialty as evidence of technical depth built on top of your broader Snowflake foundation.

Yes, because the certification addresses enduring enterprise requirements as well as specific Snowflake services. Skills in retrieval, grounding, data governance, access control, evaluation, monitoring, and cost management remain important even as individual models and interfaces evolve.

The World Economic Forum identifies AI and big data as the fastest-growing skills area through 2030, while AI and machine learning specialists remain among the fastest-growing technology roles.

 

Pro Tip: Continue following Snowflake product documentation after certification so your knowledge keeps pace with platform changes.

It focuses on applying Gen AI within the Snowflake AI Data Cloud rather than covering AI concepts at a vendor-neutral level. Candidates must understand how Snowflake services work together across data, models, search, agents, governance, observability, and document-processing workflows.

Pro Tip: Choose this certification if Snowflake is part of your current technology environment or target career path.

Yes, it offers a relevant progression path for data professionals who want to work on enterprise AI applications. Existing skills in SQL, pipelines, data quality, access control, and platform governance transfer directly to RAG, document processing, Cortex Search, and governed AI workloads.

Pro Tip: Use your data-engineering background as an advantage because dependable Gen AI applications rely on trusted, accessible, and well-governed data.

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