AI Engineering Masterclass: Building Intelligent Systems with Modern Frameworks (Part 2)

​This intensive workshop aims to equip participants with practical skills in modern AI engineering, focusing on building production-ready AI applications using cutting-edge frameworks and protocols. Participants will gain hands-on experience with the latest tools for creating intelligent agents, workflow orchestration, and model communication protocols.

​Learning Outcomes

​By the end of this workshop, participants will be able to:

• ​Understand the fundamentals of AI Engineering and its role in modern software development

• ​Design and implement complex AI workflows using LangGraph

• ​Build intelligent agents using OpenAI's Agents SDK

• ​Integrate Model Communication Protocol (MCP) for seamless model interactions

• ​Implement Agent Communication Protocol (ACP) for multi-agent systems

• ​Apply best practices for deploying AI systems in production environments
  Technical Requirements

​Prerequisites

• ​Proficiency in Python programming

• ​Basic understanding of APIs and web services

• ​Familiarity with cloud platforms (AWS, GCP, or Azure)

• ​Experience with version control systems (Git)

​Software Requirements

• ​Python 3.9+ with pip

• ​Docker Desktop

• ​Visual Studio Code or similar IDE

• ​Git client

• ​Access to OpenAI API (API keys will be provided)

​Hardware Requirements

• ​Laptop with minimum 8GB RAM (16GB recommended)

• ​Stable internet connection

• ​Modern web browser