Description
This course introduces the principles and practices of building autonomous, goal-driven AI agents powered by large language models (LLMs). Students will explore core frameworks for agent development, context engineering to enhance performance and reliability, and function calling to enable task execution. The course covers the design of single and multi-agent systems using tools such as AutoGen, as well as agent memory management through vector stores, episodic memory, and retrieval-augmented generation (RAG). Learners will also study strategies for memory and knowledge compression to optimize agent behavior. Hands-on projects equip students to develop robust, autonomous AI agents for applications in conversational AI, intelligent automation, and enterprise solutions.
Common questions about AAI 627O
What is AAI 627O at LAU?
AAI 627O Agentic AI is a 2-credit course at Lebanese American University (LAU), in the Computer Science & Mathematics department. This course introduces the principles and practices of building autonomous, goal-driven AI agents powered by large language models (LLMs).
How many credits is AAI 627O?
AAI 627O Agentic AI is worth 2 credits at LAU.
Who teaches AAI 627O at LAU?
Studiety has 1 professor on record for AAI 627O: Chadi Talal Helwe. Sections change every term, so check the registrar for who is teaching now.