AI-Powered Automation: Strategies to Unlock Smarter Workflows
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AI-Powered Automation: Strategies to Unlock Smarter Workflows

Learn how to combine LLMs and Power Automate to build smarter, AI-driven workflows that boost productivity with no complex coding required.

By Data Science Dojo

Date and time

Location

Online

About this event

  • Event lasts 1 hour

Boost productivity with AI-powered automation using LLMs and Power Automate

Discover how to streamline and scale your business processes using AI-powered automation. In this hands-on session, you’ll learn how to build intelligent, adaptive workflows by combining the power of large language models (LLMs) with Microsoft Power Automate — no complex coding required.

We’ll walk you through using Power Automate’s built-in connectors, triggers, and NLP-powered “describe it to design it” feature to build automations faster and smarter. You’ll also explore how to integrate LLMs (like OpenAI) via HTTP actions or Azure services to interpret, generate, and transform content dynamically within workflows.

This session is perfect for professionals looking to move beyond rule-based flows and bring in context-aware, AI-driven automation that adapts to users and business needs in real time.

What We Will Cover:

  • Understand how AI-powered automation is transforming workflows across industries
  • Learn to build efficient flows using Power Automate’s triggers, actions, and connectors
  • Explore how to integrate LLMs into Power Automate using HTTP actions or Azure OpenAI
  • See a live demo of an intelligent automation system powered by LLMs
  • Discover best practices for building secure, reliable, and scalable AI-based flows

Interactive Element: Through a live demo and Q&A, you’ll gain practical insights into applying LLMs in real-world automation scenarios and leave with a framework to start building your own AI-powered workflows immediately.

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At Data Science Dojo, we're extremely passionate about data science. We've helped educate and train 10,000+ employees from more than 2,500 companies globally, including many leaders in tech like Microsoft, Apple, and Facebook.

FreeAug 13 · 11:00 AM PDT