Agentic & Secure AI Chatbots with NeMo Guardrails | CodeSignal Learn

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Agentic & Secure AI Chatbots with NeMo Guardrails

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3 courses

52 practices

7 hours

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.

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232 learners

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Verified skills you'll gain

INTERMEDIATE

AI Safety and Alignment

DEVELOPING

Tool Integration and Action Execution

Tools you'll use

NVIDIA NeMo

Python

Course 1

Elevating LLM Safety with NVIDIA NeMo Guardrails

4 lessons

17 practices

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.

Course 2

Advanced NeMo Guardrails with Colang 2.0

5 lessons

22 practices

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.

Course 3

Contextual Agentic AI with Colang 2.0

3 lessons

13 practices

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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