Automate Everything: n8n, LLMs, OpenAI API, Claude, Ollama, MCP & RAG! Business & Private Agents; More than just ChatGPT
InstructorArnold OberleiterEditorial course preview
These 4 complementary views highlight concrete, legible examples from the course presentation.
This image displays a complex n8n workflow featuring an AI Agent node integrated with OpenAI models, Telegram messaging, and various API tools for automation.
This view demonstrates configuring a Google Sheets node in n8n to append rows by mapping input data fields such as name and email using JavaScript expressions.
The n8n interface displays an OpenAI node configured with GPT-4o-mini, featuring a German-language prompt template designed to extract order details from customer data fields.
This Google Trends chart illustrates the rising global search interest for 'AI agents,' highlighting a significant surge in popularity starting in mid-2024.
Covers the full lifecycle of Retrieval-Augmented Generation, including vector database updates and optimization parameters like chunk size and overlap.
Provides instruction on using both cloud-based APIs and local open-source models through Ollama.
Instructional depth can thin out significantly after initial introductory stages, making complex transitions feel sudden. This signal predates the displayed course update; the update may have addressed it, but the update label does not prove that it was corrected.
Some learners report that specific workflows or API interfaces have changed since the lessons were recorded. This signal predates the displayed course update; the update may have addressed it, but the update label does not prove that it was corrected.
Technical demonstrations sometimes utilize non-English application interfaces, creating friction for English-speaking learners.
The content is suitable for those interested in agents, though the difficulty jump may affect absolute beginners.