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Advanced Multi-Agent AI System

Design and Govern Advanced Multi-Agent AI Systems is an intermediate-level course for AI engineers, data scientists, and technical leaders who need to architect collaborative AI systems that work reliably at scale. As the agentic AI market explodes with 56.1% growth, organizations are moving beyond single-agent implementations toward sophisticated multi-agent orchestration. This course equips you with the architectural thinking, governance frameworks, and practical implementation skills needed to design systems where multiple specialized agents collaborate effectively while maintaining safety and ethical standards. Through expert-led videos, real-world case studies from organizations like Anthropic and IBM, and hands-on labs with industry frameworks like CrewAI and LangGraph, you'll learn to architect agent networks, design communication protocols, and implement governance systems that scale. Whether you're building research assistants, customer service systems, or complex decision-making platforms, this course provides the frameworks and tools to create multi-agent systems that are greater than the sum of their parts.
Duration 3 Months
Institution Coursera
Format Online

Eligibility Criteria

school

Academic Foundation

A recognized Bachelor’s degree or high school equivalent required for admission into Coursera.

language

Language Proficiency

English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.

Detailed Fees Breakdown

Base Tuition Fee $192
Total Est. Investment $192

Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.

Academic Trajectory

Program Outcome

Graduates of the Advanced Multi-Agent AI System program at Coursera are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.

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