The curriculum, titled Build With LLMs: From Context Engineering to Multi-Agent Systems, shifts the focus beyond basic prompting toward complex architecture. Faculty from Carnegie Mellon lead the instruction, covering model grounding, Retrieval-Augmented Generation, and the Model Context Protocol. Participants will utilize industry-standard frameworks such as LangChain, LangGraph, and CrewAI to design secure, autonomous agents capable of executing tasks and coordinating workflows.
Simplilearn and CMU Launch Advanced Program for Multi-Agent AI Systems
Nearly 74% of companies expect to integrate multi-agent AI systems into their operations within two years, prompting a new educational initiative. Simplilearn and Carnegie Mellon University’s School of Computer Science have unveiled an eight-week live online course focused on building reliable, LLM-powered applications for technical professionals.
Krishna Kumar, CEO of Simplilearn, noted that the industry is moving past simple AI experimentation into a phase requiring systems that deliver secure, measurable outcomes. The program mandates a background in Python and machine learning, targeting software engineers and technical leads who need to bridge the gap between theoretical AI models and production-ready enterprise tools. Students will complete hands-on assignments including red-teaming exercises and the development of AI-powered helpdesks, culminating in a verified digital certificate from Carnegie Mellon.
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