Enabling Full-Stack GenAI Engineers
Understanding Natural Language
User Requests
Certification Series
How Well Do Your GenAI Solutions Understand Customer Requests?
Natural Language interactivity has taken the world by storm - raising the bar for what users now expect.
To Win, conversational GenAI needs to be a core competency for your business.
The Challenge
Without a strong, end-to-end approach to Natural Language Understanding (NLU), solutions struggle to:
- Interpret and classify unstructured User requests.
- Deliver high quality multi-turn user interactions.
- Trigger Human engagement where appropriate for specific user request types and escalations.
Gaps in NLU capabilities will drive brittle automation, hallucinations, and dissatisfied users.
Our Solution
An integrated, hands-on technical certification focused on mastering foundational NLU concepts and methods. Participants will:
- Explore a wide range of NLU libraries, techniques and real world challenges.
- Observe working code in curated jupyter notebook labs.
- Apply these concepts and methods in structured capstone exercises within an IDE environment.
Areas of Focus
- Input Parsing & Tokenization — Build robust pipelines that turn messy, multi-modal inputs into atomic data GenAI systems can understand.
- Intent Detection — Design workflows that consistently identify what users are trying to accomplish.
- Entity Recognition — Extract, normalize, and map entities cleanly into your data models, APIs, and workflows.
- Disambiguation & Feedback — Detect uncertainty, trigger clarifying questions, and turn user feedback into learning signals.
- Semantic Analysis — Interpret paraphrased, vague, and multi-part requests.
Skills You'll Gain
- End-to-End NLU Design - Architect cohesive pipelines from raw user inputs through intent, entities, semantics, and actions.
- Higher Accuracy & Fewer Hallucinations - Combine structured understanding and disambiguation to improve quality and trust.
- Production-Ready Patterns - Implement reusable workflows, scoring, thresholds, and fallbacks.
- Faster Debugging & Iteration - Use explicit structure and shared patterns to diagnose issues and ship improvements quickly.
- Stronger User Journeys - Design assistants that effectively handle multi-turn and ambiguous conversations.
Who Should Attend:
Explore our NLU Certification Workshops
Turn every GenAI interaction into a high-quality customer experience. Click below to explore each workshop in the NLU certification series—and build the applied expertise your teams need to master NLU.
Input Parsing & Tokenization
Intent Detection
Entity Recognition
Disambiguation & Feedback
Semantic Analysis