[Free] Agentic Ai Card Course For Generate
Learn how to use Agentic AI within Generate by Iterate – Free Course
What you’ll learn
- Have a better understanding of both Generate AI PC and Generate Enterprise
- Be able to create and edit Document Search Workflow cards through Card Manager and thier JSON file
- Identify and understand Workflow card complexity and how it fits for each use case
- Create customized Workflow Cards for specific use cases
Requirements
- A basic understanding of the Generate product offered by Iterate
Description
This hands-on training course provides a comprehensive introduction to designing and editing Workflow Cards within the Generate platform, a local RAG-based document search and automation system powered by LLMs. Participants will learn how to create, modify, and deploy agentic workflows that solve real-world problems using tools like vector databases, AI-powered summarization, and multi-step logic execution.By the end of the course, learners will be able to:
Understand the architecture of Interplay Generate, including how RAG and agentic systems work together to deliver context-aware, intelligent automation.
Build and customize Workflow Cards to support use cases such as document analysis, content generation, internal knowledge search, and web-based data retrieval.
Use the Card Manager to view, filter, edit, and export/import cards for reuse or collaboration across teams.
Work directly with tools like Generate LLM Response, Search Vector DB, and Combine Steps to structure advanced, modular flows tailored to specific business needs.
Manage complexity in workflows through modular card design, prompt engineering, and thoughtful output control strategies.
No prior programming experience is required, though familiarity with AI concepts is helpful. Whether you’re building simple document comparison cards or multi-step RFP generators, this course equips you with the practical knowledge and creative freedom to extend Generate’s capabilities for your specific needs. Author(s): Arjuunan Arulnamby
