Strategy and Evolution with Blip Studio

  • Length: 3 hours 
  • Level: Intermediate
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The course was structured to present, in a practical way, how to integrate deterministic flows with AI-based agents, how to use prompt engineering in a more sophisticated manner, how to architect multi-agent structures, and how to implement knowledge retrieval using RAG and vector databases.

Throughout the lessons, you will understand how these elements connect within Studio to build more robust, scalable architectures aligned with business goals. We will also explore memory strategies, debug practices, and technical criteria to guide decisions between predictability and flexibility.

By the end, you will be able to analyze, design, and evolve conversational solutions with greater architectural maturity, making more conscious decisions about when to structure, when to delegate to AI, and how to ensure control, efficiency, and quality in the user experience.

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  • Length: 3 hours 

What you will learn

Understand how an LLM works behind the scenes.
  • Differentiate and Integrate Interaction Models in Studio
  • Master Prompt Engineering and Collaboration between Agents
  • Understand details about RAG, Embeddings, and the Debug panel

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