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Building Effective GenAI Applications with No-Code and Low-Code Tools

  • Thu, Jan 15, 2026 | 11 AM - 12 PM (EDT)
  • Live Virtual Session

The live masterclass by AgileFever, titled “Building Effective GenAI Applications with No-Code and Low-Code Tools,” will shift focus from theory to practical implementation. It is designed to show attendees how to quickly and efficiently build production-ready Generative AI systems without deep coding knowledge, by leveraging modern low-code and no-code platforms.

This masterclass is the highly anticipated second part, focusing on the practical, hands-on application of the AI Product Architecture concepts discussed in the first session.

Reserve Your Spot Now

*Limited Seats — Secure Your Place Today!

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What You’ll Learn?

This session is a practical deep-dive into the tools and methodologies for building Gen AI systems. Attendees will learn to:

  • Demystify AI Product Architecture: Gain a clear understanding of the architectural concepts required for effective AI deployment.
  • Build Agentic Workflows with LangFlow: Learn to visually design and build complex, multi-step AI agents using the low-code interface of LangFlow.
  • Develop Powerful Chatbots with Dify: Master Dify for creating, deploying, and managing sophisticated chatbot applications with minimal effort.
  • Create Web Apps with Vibe Coding: Explore tools like Lovable, bolt.new, and Reflex to quickly build user-friendly web interfaces for your AI applications.
  • Overview of AI Coding Assistants: Get an introduction to how to use GitHub Copilot and Cursor to enhance coding speed and efficiency.

Who Should Attend?

The session is highly relevant for:

  • Product Managers/Owners: Learn how to quickly prototype and launch AI applications using low-code tools to validate product ideas.
  • Software Developers/ML Engineers: Gain practical experience with leading orchestration frameworks like LangFlow and Dify, and learn to leverage AI coding assistants.
  • Business Leaders/Strategists: Understand how no-code and low-code approaches can drastically reduce time-to-market for Gen AI solutions.
  • Data Scientists/Analysts: See how architectural concepts are applied practically to ensure models are robust in a production environment.
  • Anyone interested in the practical application and MLOps of Generative AI.

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