Mastering Retrieval-Augmented Generation (RAG), Generative AI (Gen AI), AI Agents, Agentic RAG, OpenAI API with Python
InstructorDiogo Alves de Resende
Free
FreeEditorial course preview
These 2 complementary views highlight concrete, legible examples from the course presentation.
A Google Colab notebook interface displaying a code cell with pip install commands for ebooklib and lxml, alongside a text cell showing a RAG query response.
A split-screen view of a custom AI agent editor showing a draft configuration panel on the left and a preview of statistics-related prompts on the right
Instruction includes specialized orchestration using CrewAI and OpenAI Swarm, alongside advanced RAG techniques like Knowledge Graphs.
The curriculum features multiple capstone projects covering RAG, customer acquisition, and multimodal data integration.
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 signals suggest the theoretical foundations may feel superficial or unorganized for certain learners.
The coverage of advanced topics is offset by concerns that some theoretical explanations can vary in depth.
The curriculum includes Python essentials, yet some learners find the transition to practical lessons confusing without prior experience.