Temple University 3 credits CIS
This course explores the development of autonomous agent systems powered by modern AI. Students will gain hands-on experience using state-of-the-art large language models (e.g., GPT, Llama, Mistral, Gemma) as the backbone for building intelligent agentic AI systems. Students will move from simple text generation to advanced multi-agent systems, gaining practical skills in orchestration, tool-calling, and integration using frameworks such as LangChain, AutoGPT, CrewAI, and Claude MCP. Additional topics include fine-tuning strategies, RAG pipelines, multi-modal agents and model evaluation. Emphasis is placed on both technical mastery and responsible AI practices. By the end of the course, students will be able to design, implement, and evaluate production-ready agentic AI applications.
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