AVAILABLE COURSES
Get started with our introduction courses, then continue with our data engineering and AI coursework.
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Snowflake Connect: AI on January 27
Unlock the full potential of data and AI with Snowflake’s latest innovations.
With the Snowflake Northstar Builder Education program, you can level up through online, self-paced courses, in-person workshops, and virtual hands-on labs to upskill on Snowflake.
Get started with our introduction courses, then continue with our data engineering and AI coursework.
Getting Started
Data Engineering
Generative AI
Get an introduction to Snowflake as a platform for building applications, data pipelines, and AI models and workflows. You'll learn how to create user-defined functions, how to use a Snowflake Cortex LLM function, how to edit a Streamlit app, and more.
This is a technical, hands-on course that teaches learners how to build modern and continuous data pipelines with Snowflake. It focuses specifically on the most practical Snowflake concepts and tools to get learners up and running quickly with building data pipelines.
This is a technical, hands-on course that teaches learners how to build modern and continuous data pipelines with Snowflake. It focuses specifically on the most practical Snowflake concepts and tools to get learners up and running quickly with building data pipelines.
Build a data engineering career or gain hands-on Snowflake experience for your next project. This program equips students, early career, and experienced professionals with practical skills to enhance job market competitiveness and career growth in data.
Prepare for a high-demand tech role with the Associate Data Engineer in Snowflake track. Learn SQL, data modeling, and database design through hands-on experience with Snowflake’s AI-powered cloud platform. Explore its architecture and features, practice data ingestion and querying, and build scalable data pipelines. Apply your skills in a real-world project creating insights for a sports media agency.
Learn to build AI-powered applications with Snowflake Cortex, combining data management and generative AI. Gain skills in Snowflake architecture, SQL, and Large Language Models (LLMs), including fine-tuning for real-world tasks. Apply AI for text analysis, summarization, and translation while practicing responsible AI. Conclude by building a conversational chatbot using Cortex to generate intelligent, data-driven responses.
Learn to build a data agent using a multi-agent workflow: design a planner, a plan executor, and specialized sub-agents to connect to data sources; trace and evaluate: measure the quality of the agent’s final answer, and the alignment of the agent’s goal, plan, and action; and improve the agent’s performance: update the agent’s prompt, and add inline evaluations that the agent can use during runtime to adjust its plan.
This course introduces learners to generative AI and how to implement common AI use cases using Snowflake. This course is for anyone looking to skill up on AI, but is particularly suited for data scientists, ML/AI engineers and data analytics professionals.
Are you looking to build a career in AI? Or get hands-on experience with Snowflake for your next project? This program will enable you to acquire the practical skills you’ll need to be competitive in the job market to land your next job, or to grow your existing career as a data professional.
Learn to streamline the prototyping workflow, iterate rapidly, and validate product-market fit. Turn a few lines of Python into a shareable Streamlit web app, cut down iteration time from weeks to hours, and improve the performance of your application using Cortex AI. Start with a hello-world chatbot, add prompt engineering and RAG, and publish the result for real-time feedback.
Learn how to build conversational AI applications that let users interact with their data, whether structured in tables or unstructured in documents, using natural language. This course focuses on building practical applications with Snowflake Cortex, including Cortex Search and Cortex Analyst.
Learn to build a data agent using a multi-agent workflow: design a planner, a plan executor, and specialized sub-agents to connect to data sources; trace and evaluate: measure the quality of the agent’s final answer, and the alignment of the agent’s goal, plan, and action; and improve the agent’s performance: update the agent’s prompt, and add inline evaluations that the agent can use during runtime to adjust its plan.
Explore AI and data engineering courses, including generative AI, taught by our developer advocates. You can access course materials for free by choosing the "Audit Only" option on Coursera. For a fee, or if your organization provides it, you can also earn course certificates from Coursera.
Enroll in courses taught by our developer advocates, including an introductory course and learning paths in generative AI and data engineering. Login to Linkedin is required. Courses are free to premium members of Linkedin or if your organization has adopted Linkedin Learning for its employees.
Explore learning tracks built by DataCamp in collaboration with our developer advocates. Start with the Snowflake Foundations learning track and continue to the learning tracks in data engineering and AI.
Skill up in AI with courses jointly developed by leading eLearning provider DeepLearning.AI and Snowflake. Our joint courses are available on Coursera and soon also on DeepLearnig.AI’s own learning platform.
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