TeraData + AI

About TeraData + AI

TeraData + AI focuses on combining the robust capabilities of Teradata's enterprise data warehousing with modern AI techniques to derive deeper, actionable insights from structured data. This course trains learners to use Teradata SQL, Vantage Analytics, and integrated ML tools to process, prepare, and analyze large-scale datasets for AI and machine learning applications. Students will explore how Teradata integrates with popular AI platforms such as Jupyter, Python, R, and cloud-based ML services. Designed for data professionals, analysts, and AI engineers, the course empowers learners to run predictive models directly within Teradata and operationalize AI at scale. By the end of the course, students will be able to develop intelligent analytics workflows that bridge high-performance databases and AI models for real-world business solutions.

TeraData + AI Course Objectives

You will be expertise and eligible for:

• Understand Teradata architecture, SQL capabilities, and Vantage analytics
• Use Teradata Studio and SQL to prepare data for machine learning
• Perform predictive analytics and classification within the Teradata environment
• Integrate Python/R scripts with Teradata for advanced AI and ML workflows
• Leverage Teradata’s cloud capabilities with AI tools on AWS, Azure, and GCP
• Deploy AI-driven dashboards and reports using Teradata analytics functions

Pre-Requisites

This course is ideal for professionals and learners with:

• Intermediate knowledge of SQL (especially analytical queries)
• Basic familiarity with data science, AI, or Python/R scripting
• Exposure to enterprise data warehousing is a plus

Duration of the Course

• "L" understands the challenges like security, time limitations, and location that prevent many learners from attending traditional classes.
• Duration of 40 sessions.
• 1 hour per day.
• Provides soft copy of every class after its completion.
• Provides class recording sessions.