Master safe, agentic AI chatbots using NVIDIA NeMo Guardrails and Colang 2.0. Progress from foundational guardrail setup to advanced flow management, modular design, and context-aware, Python-extended conversational agents for secure, robust NLP applications.
Overview
Syllabus
- Course 1: Elevating LLM Safety with NVIDIA NeMo Guardrails
- Course 2: Advanced NeMo Guardrails with Colang 2.0
- Course 3: Contextual Agentic AI with Colang 2.0
Courses
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This course provides a foundational introduction to NVIDIA NeMo and Colang. You will learn to create basic configuration files, define simple conversation flows using Colang, and perform interactive testing via Python. By the end of this course, you will be familiar with NeMo’s core capabilities and the integration of guardrail policies into your projects.
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Learn advanced techniques for building robust conversational AI with NVIDIA NeMo and Colang 2.0. Create multi-layered configurations and flows using Colang 2.0’s advanced features and standard library. Gain skills to design, implement, and optimize sophisticated, flexible, and high-quality conversational systems.
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Explore Colang 2.0 features for building context-aware AI assistants. Learn timing for response windows and follow-ups, advanced flow management for escalations and corrections, and integration of custom Python actions for complex logic and API access.
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Reviews
5.0 rating, based on 1 Class Central review
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This course was absolutely amazing. The explanations were clear, the hands-on examples were practical, and the content made complex AI guardrails concepts really easy to understand. Highly recommended for anyone exploring agentic AI.
