Features
Description
Infoshare is the largest tech community in CEE and the organizer of the leading tech conference in Gdańsk. It connects startups, investors, corporations, and innovation enthusiasts. It promotes entrepreneurship, knowledge sharing, and networking. Through events, competitions, and programs, it supports the development of the tech ecosystem in Poland and the region.
This intensive workshop enables business professionals to harness the transformative power of AI agents to optimize processes and enhance personal productivity. Through interactive lectures, practical tasks, and hands-on experience with leading AI platforms, participants gain knowledge and skills to implement AI agents in their organizations.
- Middle and lower management, team leaders
- Customer service teams
- Project leads and managers
- HR departments, trainers, and talent development professionals
- You will learn about the transformative power of AI agents and how they can be used to optimize business processes.
- You will understand AI agents, how they work, and how to build them.
MODULE 1: UNDERSTANDING AI AGENTS
• overview of artificial intelligence and its role in modern business
• definition of AI agents and their key functionalities
• use cases and benefits of AI agents across various industriesMODULE 2: INSIDE AI AGENTS
• architecture of an AI agent
• data requirements and workflow of AI agentsMODULE 3: EXPLORING AI PLATFORMS
• introduction to AI agent platforms
• demonstration of platform capabilities
• comparison of features, pricing, and use casesMODULE 4: CREATING YOUR FIRST AI AGENT
• step-by-step guide to creating a simple AI agent
• tasks – create an AI agent for a specific business problem
• group activities and collaborationMODULE 5: ADVANCED AI AGENT DESIGN
• adding more complex features and integrations
• customizing AI behavior and responses
• workshop – designing AI agent workflows for specific industriesMODULE 6: TESTING AND IMPLEMENTATION
• testing the performance of the AI agent
• strategies for successful implementation in a business environment
• monitoring and continuous improvement of AI agentsCLOSING SESSION
• summary and analysis of key takeaways
• participant reflections and feedback
8 h/ 1 day