Welcome to the future of automation! UiPath Community is thrilled to present a comprehensive webinar series titled "Transitioning to agentic automation." This series is your gateway to understanding the WHY, HOW, and WHAT of this revolutionary technology over six interesting sessions.
🥁 Welcome to the future of automation! UiPath Community is thrilled to present a comprehensive webinar series titled "Transitioning to agentic automation." This series is your gateway to understanding the WHY, HOW, and WHAT of this revolutionary technology. Over six interesting sessions, we will learn about the amazing power of agentic automation. We will give you the information and skills you need to succeed in this new era.
Whether you're an automation professional with experience or just beginning your journey, this webinar series is tailored to meet you where you are. From the basics of generative AI and UiPath Autopilot™ to advanced topics like multi-agent orchestration and AI governance, each session is designed to build your confidence and expertise.
Join us as we explore the latest tools and techniques, share real-world case studies, and engage in hands-on activities. You'll learn how to customize LLMs, implement context-aware AI, ensure trust and governance, and coordinate multiple AI agents for complex workflows. Plus, you'll connect with peers and industry leaders, expanding your professional network and staying ahead of the curve.
🚀 Don’t miss this chance to be at the forefront of the automation revolution. Register now and join us for a series of insightful and interactive webinars!
Expert insights: Learn from industry leaders and UiPath experts.
Practical knowledge: Hands-on activities and real-world examples.
Networking: Connect with peers and expand your professional network.
Exclusive content: Access to recordings and resources post-webinar.
Objective: Understand UiPath’s generative AI capabilities, security principles, and Autopilot for Everyone. Topics: - Overview of generative AI in UiPath: LLMs, prompt engineering, and automation. - UiPath AI Center and LLM integration (GPT, Claude, Gemini, Azure OpenAI). - UiPath Autopilot for Everyone: Automating task generation, summarization, and data insights. - Use cases: Document processing, chatbots, predictive analytics. - Security Considerations: Data privacy, encryption, GDPR compliance. Hands-on activity: Build a document summarization bot using UiPath Studio and UiPath Autopilot for Everyone. Example: Automating healthcare claims processing with AI-powered data extraction.
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Objective: Implement context-aware AI using vector databases and embeddings. Topics: - Context grounding: Customizing LLMs with enterprise data. -Vector DBs (Pinecone, FAISS) & Embeddings (OpenAI, Cohere) for context retrieval. - UiPath AI Center & context grounding in Autopilot for enhanced automation. - Security: Data protection, anonymization, role-based access. Hands-on activity: Create a vector index for a customer support chatbot using UiPath + Pinecone. Example: Retail chatbot grounding product FAQs in real-time.
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Objective: Ensure reliability, governance, and compliance in AI workflows. Topics: - Trust layers in AI: Validation rules, explainability (SHAP, LIME), bias monitoring. - UiPath AI Governance Dashboard for tracking model performance and compliance. - Autopilot for developers: AI-assisted development in UiPath Studio and UiPath Apps. - Security Considerations: Model integrity checks, adversarial attack prevention. Hands-on activity: Enhance a loan approval AI model with validation and bias detection. Example: Fraud detection in finance with explainable AI alerts.
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Objective: Build autonomous AI agents with memory and security. Topics: - UiPath Agent Builder: Designing task-specific Gen AI agents. - Memory Tools: Short-term (caches) vs. long-term (vector DBs). - UiPath Autopilot’s Memory Functions: Retaining past user interactions. - Security: Role-based access for agents, secure credential storage. Hands-on activity: Develop an invoice-processing agent with memory for recurring vendors. Example: HR onboarding agent retaining employee preferences.
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Objective: Coordinate multiple AI agents for complex workflows. Topics: - Agentic orchestration: Communication via APIs, pub/sub models. - UiPath Orchestrator & Semantic Kernel for intelligent automation. - UiPath Autopilot for Coordination: Seamless collaboration between agents. - Security: Secure inter-agent communication (TLS/SSL). Hands-on activity: Simulate a supply chain workflow with order, inventory, and logistics agents. Example: e-commerce order fulfillment using multi-agent collaboration.
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Objective: Plan migration from RPA to AI agents and explore advanced use cases. Topics: - Migration Roadmap: Assess RPA workflows, pilot AI agents, scale governance. - End-to-End AI Security: Encryption, compliance audits, model protection. - Case Study 1: Insurance claims automation (document extraction, fraud detection, notification agents). - Case Study 2: Predictive maintenance (sensor-driven AI repairs in manufacturing). - UiPath Autopilot for scaling AI: Enhancing enterprise-wide AI adoption. Hands-on activity: Design a transition plan to upgrade an RPA-based invoice process with AI agents. Q&A: Troubleshooting and best practices for large-scale deployments.
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RPA Manager at Boundaryless Group
UiPath MVP
Iris software
Solutions Consultant
NatWest Group
Vice President - RPA & Analytics
UiPath
Community Lead - Asia Pacific & Japan
