Building and Deploying GenAI Agents for Process Automation

This course will give you the core skills you need to build and manage AI-powered agents that automate real business processes and deliver measurable results. You’ll learn how to spot the best opportunities for AI agent automation, design effective multi-step agent workflows, and connect intelligent systems that can scale with your organization. The course also covers how to design agent architectures—with practical strategies for error handling, monitoring, and optimizing—so your automations stay reliable and effective. You’ll get hands-on experience coordinating multiple AI agents and services, building end-to-end workflows that streamline processes and minimize manual effort. Through guided practice and real-world scenarios, you’ll build the skills to select the right AI tools, track automation performance, and keep improving your systems for ongoing business value. By the end, you’ll be ready to lead AI agent automation projects, identify the best places to apply intelligent agents, and transform manual processes into scalable, adaptive agent-powered workflows

• Explain AI agent fundamentals and architecture components, including decision-making models, memory systems, and tool integration patterns
• Build functional AI agents using no-code platforms to automate business processes with multi-step reasoning and context awareness
• Describe best practices for deploying and scaling AI agents in production environments
• Evaluate agent performance and business impact by analyzing workflow efficiency and recommending continuous improvements

• Basic familiarity with the topic and its common terminology
• Readiness to practice through applied exercises or case-based work