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Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Pennsylvania State University 3 credits DAAN
This course delves into the theoretical underpinnings and practical implementation of intelligent agents and autonomous AI systems. Students will learn to design systems that can perceive complex environments, formulate long-horizon plans, and execute multi-step workflows with minimal human intervention. The course covers foundational agentic concepts, advanced transformer-based language models, sophisticated prompt engineering, hierarchical planning, memory systems, and robust tool integration. A significant focus will be placed on developing modular Large Language Models (LLM) based-agent systems and addressing the ethical and governance challenges inherent in autonomous AI. This course prepares students to be leaders in the design, implementation, and responsible deployment of AI Agent with cutting-edge platforms.
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Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
Learn how to cite sources in a research paper using APA, MLA, and Chicago styles, with in-text citation examples and reference-list tips.