Tech Events & Workshops
Discover and join virtual tech events, workshops, and meetups from the Ubuntu community worldwide. Connect with developers, engineers, and tech enthusiasts.
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Building Agents with LangChain and LangGraph
Webinar Overview: Building LLM Agents with LangChain and LangGraph # Course Title: Mastering LLM Agents: From Basics to Building a Travel Agent App with LangChain, LangGraph, and Microsoft Autogen Studio # Course Description: Join us for an exciting and comprehensive webinar designed to take you from the fundamentals of building Large Language Model (LLM) Agents to creating sophisticated applications using LangChain and LangGraph. This hands-on course is perfect for AI enthusiasts, developers, and students who want to delve into the world of LLM Agents and harness their power for real-world applications. We will also introduce you to Microsoft's Autogen Studio, showing how it can simplify the development process. # Course Outline: 1. Introduction to LLM Agents: - Overview of LLM Agents and their applications - Understanding the basics of LangChain and LangGraph - Setting up your development environment 2. Building Simple LLM Agents: - Step-by-step guide to creating your first LLM Agent - Basic examples using LangChain and LangGraph - Incorporating basic functionalities and tool usage 3. Advanced LLM Agent Development: - Enhancing your LLM Agent with more complex functionalities - Utilizing LangChain and LangGraph techniques for advanced features - Best practices for robust and scalable LLM Agent design 4. Project Showcase: Building a Travel Agent App: - Overview of the Travel Agent app - Airline booking integration using LangGraph - Hotel and Airbnb rental functionalities - Event recommendation system for travel destinations - Step-by-step development of the Travel Agent app 5. Simplifying Development with Microsoft's Autogen Studio: - Introduction to Autogen Studio - Demonstrating how to build the Travel Agent app with less code - Comparative analysis of traditional vs. Autogen Studio development 6. Capstone Project Demonstration: - Live demonstration of the fully functional Travel Agent app - Q&A session with participants - Discussion on future developments and applications # Learning Outcomes: By the end of this webinar, participants will be able to: - Understand the fundamentals of LLM Agents and their practical applications - Develop simple to advanced LLM Agents using LangChain and LangGraph - Build a comprehensive Travel Agent app with multiple integrated features - Utilize Microsoft's Autogen Studio to streamline LLM Agent development - Apply best practices for scalable and efficient LLM Agent projects # Who Should Attend: - AI enthusiasts and developers - Students and professionals interested in LLM technology - Anyone looking to enhance their skills in AI development # Requirements: - Basic understanding of AI and programming concepts - No prior experience with LangChain or LangGraph is necessary Register now to secure your spot and take the first step towards mastering LLM Agents!
Building Agents with LangChain and LangGraph
### Webinar Overview: Building LLM Agents with LangChain and LangGraph #### Course Title: Mastering LLM Agents: From Basics to Building a Travel Agent App with LangChain, LangGraph, and Microsoft Autogen Studio #### Course Description: Join our webinar to learn building Large Language Model (LLM) Agents from basics to advanced applications using LangChain and LangGraph. This hands-on course is ideal for AI enthusiasts, developers, and students. We'll also introduce Microsoft's Autogen Studio to simplify development. #### Course Outline: 1. **Introduction to LLM Agents:** - Overview and applications - Basics of LangChain and LangGraph - Setting up the development environment 2. **Building Simple LLM Agents:** - Step-by-step guide - Basic examples - Incorporating functionalities and tools 3. **Advanced LLM Agent Development:** - Adding complex functionalities - Advanced features using LangChain and LangGraph - Best practices for robust, scalable design 4. **Project Showcase: Building a Travel Agent App:** - Overview of the app - Airline, hotel, and Airbnb integration - Event recommendations - Step-by-step development 5. **Simplifying Development with Microsoft's Autogen Studio:** - Introduction and building with less code - Traditional vs. Autogen Studio development 6. **Capstone Project Demonstration:** - Live demo of the Travel Agent app - Q&A session - Future developments discussion #### Learning Outcomes: By the end, participants will: - Understand and apply LLM Agents fundamentals - Develop LLM Agents using LangChain and LangGraph - Build a comprehensive Travel Agent app - Use Microsoft's Autogen Studio for streamlined development - Apply best practices for scalable projects #### Who Should Attend: - AI enthusiasts and developers - Students and professionals in LLM technology - Anyone looking to improve their AI development skills #### Requirements: - Basic knowledge of AI and programming - No prior experience with LangChain or LangGraph needed Register now to secure your spot and start mastering LLM Agents!
Building Blocks and Orchestration of LLM enabled Tasks: Ideas and Case Study with Python Instructor and Instruct Easy
🚀 Join us for an insightful Ubuntu TechHive meetup where we'll explore the building blocks and orchestration of LLM-enabled tasks using Python! This session is perfect for those looking to understand the integration of AI and automation in real-world applications. 🎯 **Agenda**: - **Introduction**: Overview of LLM-enabled tasks and their significance. - **Case Study**: Detailed case study using Python Instructor and Instruct Easy. - **Building Blocks**: Learn about Python Domain Specific Languages (DSLs) and their similarities to Lego blocks. - **Automation and Orchestration**: Discover techniques for data extraction, text generation, and information retrieval. - **Tech Stack**: Dive into the tech stack including FastAPI app, ZeroMQ for work distribution, Server Sent Events (SSE), Docker, AWS, and Cloud Computing. 📍 **Who Should Attend?** - Developers interested in AI and automation. - Tech enthusiasts looking to expand their knowledge in Python and workflow orchestration. 👋 We look forward to seeing you there and exploring the fascinating world of LLM-enabled tasks together!
Introduction to natural language processing