AI Agent Engineering: RAG, Tools and Autonomous Systems
Course content
Course overview
This course on “AI Agent Engineering: RAG, Tools and Autonomous Systems” connects essential concepts to practical applications. It helps you build a structured understanding of the subject and choose an approach suited to the situations covered.
Skills and topics covered
• Python agent architecture
• memory and document retrieval with RAG
• tool connections through MCP
• orchestration with LangGraph, CrewAI and LangChain
Who is this course for?
Developers, students and technical learners who want to build AI applications or agents.
Prerequisites
Basic Python knowledge and the ability to run a script. Familiarity with APIs is useful for integrations.
How you will learn
Start from a practical need, define the context and expected result, then test different approaches. Compare responses, identify mistakes and improve the process progressively. Activities emphasize understanding tools and human verification of outputs.
After completing the course
You will be able to choose an approach suited to the cases, write clearer instructions and evaluate output quality. You will have a method for integrating AI into projects or activities while applying critical judgment.
Course content
The detailed programme will be published soon.
About the author
AI Skills Academy teaching team
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Refund terms: confirm with the centre.
Totals include a base declared by the training center.