The Agentic AI Engineering Masterclass 2026

In this hands-on masterclass, you’ll learn how to design, build, and deploy next-generation AI agents that combine memory, tools, collaboration, and automation to solve real-world problems. Starting with the OpenAI Agents SDK, you’ll explore how to create simple agents and gradually extend them with advanced features such as persistent memory, guardrails, and smooth handoffs between workflows.

You’ll then dive into multi-agent systems, where specialized agents, like researchers, analysts, and writers, work together, passing context and outputs to build complex deliverables. Along the way, you’ll learn how to orchestrate these systems with manager functions, enforce ethical and domain boundaries with guardrails, and design creative pipelines for use cases from market research to advertising campaigns.

The course introduces multiple frameworks for building production-ready agentic workflows. You’ll explore AutoGen for multi-model collaboration, LangGraph for modular pipelines connected to user interfaces, and CrewAI for advanced orchestration. You’ll also learn how to extend agents with custom tools, from Python code execution for data analysis to classical machine learning models like linear regression, random forest, and XGBoost.

You’ll gain practical experience with the Model Context Protocol (MCP), enabling agents to interoperate with standardized external services, and learn how to build and deploy MCP tools using Gradio. Finally, you’ll see how low-code platforms like n8n can bring everything together into seamless automation flows, integrating Gmail, Google Sheets, Google Calendar, and AI models to create complete end-to-end systems.

By the end of the course, you’ll have the skills to:

• Build AI agents with memory, tools, and reasoning capabilities.

• Orchestrate multi-agent workflows for research, analysis, and creative tasks.

• Integrate guardrails, handoffs, and oversight to ensure safe, reliable outputs.

• Deploy advanced agentic workflows across AutoGen, LangGraph, CrewAI, and MCP.

• Automate business processes with low-code tools like n8n connected to real-world apps.

Whether you’re a developer, data scientist, or business innovator, this course equips you with the full toolkit to design AI systems that collaborate, automate, and scale in production.