Udemy · Ed Donner and Ligency
AI Engineer Agentic Track: The Complete Agent & MCP Course
Explore Ed Donner’s agent engineering course with OpenAI Agents SDK, CrewAI, LangGraph, AutoGen, and MCP, including prerequisites and project notes.
Compare AI agent courses for Python developers and no-code learners, with guidance on tools, memory, evaluation, and controlling automated actions.
2 learning resources in this collection
An AI agent combines a model with tools and a process for deciding what to do next. The difficult part is making that process understandable and dependable when inputs, tools, or model responses are imperfect. Begin with one bounded task.
Choose a Python route if you want to build the orchestration yourself. Hugging Face provides a free curriculum, while Ed Donner's Udemy track compares several frameworks through projects. Choose n8n when visual business workflows fit your goal. Check programming prerequisites and usage charges separately from tuition.
Build an agent that reads a small collection of documents and proposes a next step. Log tool calls, cap the work it can perform, and require review before an external action. Test an unavailable tool and an ambiguous request.
Udemy · Ed Donner and Ligency
Explore Ed Donner’s agent engineering course with OpenAI Agents SDK, CrewAI, LangGraph, AutoGen, and MCP, including prerequisites and project notes.
Hugging Face
Explore Hugging Face’s free AI Agents Course with framework lessons, agentic RAG, and a final project, including Python and certificate requirements.