Learning Path

Technical Onboarding Learning Path

Here's what you'll learn:

🤖 Learn how to build AI Agents in Cognigy
🧠 Understand the message lifecycle and NLU
🛠️ Explore key components like Flows and Intents
⚙️ Practice real-world use cases and logic
💡 Learn how to create compelling demos
🚀 Build confidence to deliver technical value

Enroll in this learning track and beging your journey to improving your skills.

19 Lessons

Cognigy Crew Sales Certification

Cognigy Crew Sales Certification for all GTM Roles

19 Lessons

Cognigy Foundations

Understanding the Cognigy user interfaces and main product features for both digital and voice use cases.

8 Lessons

AI Agents for Cognigy Users

Technical Course that takes you through creating your first Agentic AI Agent. Audience: Cognigy Users

11 Lessons

Showcasing Agentic AI: How to Demo with AI Agents

A Pre-Sales course on how to Demo with Agentic AI - Course Length 2 Hours

2 Lessons

Building With AI Agents - A Complete Walkthrough

A hands-on course for implementing real-world AI Agent use cases. The course is an extended end-to-end building session that can be viewed continuously or based on a student's learning appetite.

14 Lessons

Cognigy in Action: Technical Strategies for Engaging Demos

A Pre-Sales course on how to customize your demos to exceed prospect expectations. The course covers topics such as embedding webchat on a prospect's website, working with Adaptive Cards, building with xApps, file uploads, voice demos and more.

1 Lessons

Demystifying Insights & OData

7 Lessons

Mastery Track Course 1: Understanding the Message Lifecycle: How Cognigy Processes, Understands & Responds

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.

8 Lessons

Mastery Track Course 2: Integrating a Business Layer

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.

8 Lessons

Mastery Track Course 3: Multilingual AI Agents

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.

11 Lessons

Mastery Track Course 4: AI Agents for Voice

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.

Earn your awesome certificate

Complete all of the courses and unlock your awesome certificate