Cognigy Mastery Certification
Master the skills to build, scale, and measure world-class AI Agents. Gain the credentials, confidence, and competitive edge to lead in the era of Agentic AI.
The Cognigy Mastery Certification Program validates your skills in building, scaling, and analyzing AI Agents. Earn your Specialist or Master Builder Certification to gain recognition, prove expertise, and unlock new opportunities.
Enroll in this learning track and begin your journey to improving your skills.
Course 1 of 5: Learn how Cognigy processes, understands, and responds to messages. Build intuition for troubleshooting, flow management, and voice integration in this first course of our Mastery Certification Program.
Course 2 of 5: Learn how to connect AI agents to external systems using HTTP requests, context memory, and dynamic payloads—enabling smarter, goal-driven conversations powered by real-time data.
Course 3 of 5: Design multilingual AI agents that adapt dynamically to user language preferences across digital and voice channels. Explore language detection, speech models, and best practices for creating seamless, inclusive customer experiences.
Course 4 of 5: Design, test, and publish effective voice-first experiences. This course covers best practices for writing natural dialogue, using SSML, managing latency, and ensuring transcription accuracy for high-quality conversational AI.
Course 5 of 5: Learn to track and report AI agent performance in Cognigy using OData, custom fields, tasks, and goals. Build data-driven flows, connect external systems, and visualize impact for smarter automation decisions.
Validate your foundational Cognigy skills with the Specialist Certification. This 50-question exam tests your knowledge of core concepts, design best practices, and analytics. Earn a credential to showcase your expertise and growth.
The Cognigy Master Builder Certification validates advanced skills through a hands-on, scenario-based exam. Prove your expertise in building real-world, scalable AI-powered Agentic Agents across complex use cases and systems.