Building AI Agents: From Single Prompts to Multi-Agent Workflows

Artificial intelligence is evolving from passive chatbots into autonomous agents capable of planning, executing, and collaborating on complex workflows. Understanding how to design and coordinate these systems is becoming an essential skill for modern developers, professionals, and technology enthusiasts. This text-based course guides you from the fundamental principles of generative AI and prompt engineering to the architecture of sophisticated multi-agent systems. You will gain a clear conceptual understanding and practical knowledge of how individual agents can work together to solve multi-step problems, automate repetitive tasks, and streamline complex business workflows. What you'll learn: - Understand the foundational concepts of generative AI, large language models, and autonomous agents. - Design effective prompts and system instructions to control agent behavior and decision-making. - Configure single-agent workflows that leverage external tools and basic retrieval-augmented generation (RAG) patterns. - Orchestrate multi-agent systems where specialized agents collaborate, share context, and execute complex tasks. - Apply best practices for managing agent memory, state preservation, and feedback loops. - Practice implementing agent communication patterns through clear, step-by-step written explanations and code snippets. The course begins with essential terminology and the mechanics of single-prompt interactions before advancing to structured workflows, tool integration, and collaborative multi-agent architectures. Through detailed written lessons and conceptual walkthroughs, you will trace the logical progression of building increasingly autonomous AI systems. This course is designed for beginners, developers, and professionals who want to understand the architecture of AI agents. No prior experience with advanced AI frameworks is required, as we start with foundational definitions and build up your skills step-by-step. Start reading today to master the fundamentals of autonomous AI orchestration and build your first multi-agent workflow.