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Generative Artificial Intelligence For Enterprise Operations
Explore Generative AI essentials in this beginner-friendly enterprise lab, covering core concepts, responsible AI basics, and practical use cases like customer support, decision-making, and task automation through hands-on exercises.
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About The Lab
Prerequisites
Audiences
Lab Architecture
The lab environment combines cloud-based LLMs with enterprise-focused workflows. It provides access to conversational AI models, embedding tools, vector databases, and prompt-engineering interfaces. Participants will work with a modular RAG setup and complete hands-on tasks such as building chatbots, deploying agent-based assistants using tools like Tavily tailored to enterprise scenarios.
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Why this Lab ?
This training covers the core concepts, key use cases, ethical considerations, and emerging trends of Generative AI in enterprise environments. Participants will learn how Generative AI can improve customer support, enhance decision-making, and automate repetitive tasks. Through a mix of hands-on labs, this course builds a strong foundation in practical enterprise Gen AI applications.
Lab Objectives
- Understand the foundations and business value of Generative AI in enterprise settings.
- Design and evaluate prompts for enterprise-specific tasks and chatbot use cases.
- Implement Retrieval-Augmented Generation (RAG) using enterprise knowledge bases.
- Compare the reasoning capabilities of different LLM models.
- Build end-to-end Gen AI use cases, including agent creation with Tavily.
