This workshop is designed for developers, data engineers, and technical leads who are ready to utilize AI agents to streamline operations and improve efficiency. In this hands-on session, you'll explore the architecture, frameworks, and tools needed to build AI agents from scratch, as well as strategies for integrating them into existing systems.
Through real-world examples, you'll gain the skills necessary to develop scalable, robust AI agents that deliver measurable impact for businesses.
What You Will Learn
- Understand the foundational principles of AI agents, multi-agent systems, and their role in business automation.
- Learn to design modular, scalable architectures using advanced frameworks like LangChain, or custom solutions.
- Hands-on exploration of tools and techniques to create and configure AI agents, including:
- Retrieval-Augmented Generation (RAG)
- API integrations
- Workflow orchestration with tools like LangChain or similar libraries
- Learn how to deploy AI agents in production environments using cloud platforms and containerized solutions like Docker.
- Gain insights into best practices to optimize, and enhance the performance of AI agents in live environments.
Who Should Attend
This workshop is ideal for developers, data scientists, engineers, and tech leads who are looking to build AI Agents. Whether you're new to AI Agents or looking to enhance your skills, this session will provide you with the knowledge and tools to take your AI Agents from concept to deployment.
Why Attend
- Gain hands-on experience with latest AI agent frameworks and tools.
- Learn actionable techniques to design and deploy AI agents for real-world applications.
- Discover how to use advanced AI techniques like RAG for smarter, context-aware solutions.
- Build confidence in scaling and maintaining AI solutions within your team.
