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Coursera

Agent Memory, Tools, and Multi-Agent Collaboration

Packt via Coursera

Overview

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Master the integration of memory systems, tool use, and multi-agent collaboration to extend the capabilities of intelligent agents. Develop agents with advanced retrieval, tool chaining, and collaborative workflows for complex real-world tasks. This course focuses on equipping learners with the skills to implement sophisticated memory architectures, including RAG pipelines, vector databases, and episodic memory management. Explore how agents can leverage external tools, compose and chain actions, and ensure safety in tool integration. Advance to multi-agent systems, learning about agent specialization, communication patterns, and human-in-the-loop integration to orchestrate collaborative agent workflows. By completing this course, you will be able to design agents that retrieve, process, and act on information autonomously and collaboratively. Through a combination of detailed readings, step-by-step coding demonstrations, and knowledge checks, learners gain practical expertise in memory integration, tool usage, and multi-agent orchestration. The course bridges theory and application, enabling learners to build agents capable of complex reasoning and teamwork. This course is part two of a three-course Specialization designed to build a complete and cohesive understanding of the subject. While it offers valuable skills on its own, you'll gain the most benefit by progressing through all three courses as a structured learning journey. This course is based on Agentic AI Systems Design, Build, and Deploy Intelligent Agents, by Vinit Kumar Singh. Copyright © 2026 Vinit Kumar Singh . All rights reserved. No part of this course may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.

Syllabus

  • Agent Memory Systems — RAG and Beyond
    • This module explores advanced memory systems in AI agents, including layered memory structures, RAG pipelines, vector databases, and episodic memory management. Learners will gain practical skills in implementing and optimizing memory solutions for intelligent agents.
  • Tools & Actions — Extending Capabilities
    • This module explores how to extend the capabilities of agentic AI using tools, focusing on integration, design, and safety. Learners will gain practical skills in implementing tool calling, composition, and error handling in AI agents. The module also covers advanced agent archetypes and their real-world applications.
  • Multi-Agent Systems — Collaboration at Scale
    • This module explores the design and implementation of multi-agent systems, focusing on communication strategies, collaboration patterns, and human-in-the-loop integration. Learners will analyze different architectures and apply coding techniques to build scalable agent-based solutions. Practical exercises reinforce understanding of real-world applications like customer support and research automation.

Taught by

Packt - Course Instructors

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