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.
Building and Deploying GenAI Agents for Process Automation
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Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
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
Skills you'll gain
Details to know
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Assessments
13 assignments
Taught in English
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There are 4 modules in this course
This module introduces the fundamentals of AI Agents and their role in automating complex business processes. You will explore how AI Agents make decisions, adapt workflows dynamically, and optimize automation using intelligent decision-making models. You will learn to design AI-powered workflows, apply event-driven automation, and integrate AI decision processes to enhance efficiency and adaptability in real-world business environments.
What's included
7 videos4 readings4 assignments1 discussion prompt4 plugins
This module focuses on hands-on development of functional AI agents using no-code platforms. You will build agents that demonstrate memory, tool integration, and multi-step reasoning capabilities. Through practical exercises, you'll learn to configure agent behavior, connect agents to business data sources, and program agent decision-making logic. You will practice using platforms like Zapier Agents to create working agents that can handle real business tasks autonomously.
What's included
6 videos1 reading4 assignments1 discussion prompt7 plugins
This module covers the essential strategies for deploying, scaling, and optimizing AI Agents in real-world business environments. You will learn to transition AI-powered automation from development to production, scale AI workflows across teams and departments, and continuously improve performance using monitoring, debugging, and optimization techniques. Through hands-on exercises, you will explore best practices for AI deployment, workflow scaling challenges, and AI performance tuning to ensure efficient and effective automation.
What's included
6 videos1 reading4 assignments1 discussion prompt7 plugins
In this final module, you will apply the knowledge gained in the course through a final project and a graded assessment. You'll demonstrate your ability to create an automated workflow from start to finish, take your final assessment, and prepare for continued learning in the field of AI automation.
What's included
1 video2 readings1 assignment1 peer review2 plugins
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Frequently asked questions
No prior AI experience is required. But a working knowledge of one or more generative AI tools such as ChatGPT, Claude, or Microsoft CoPilot will be helpful.
This course focuses on principles and frameworks that apply across AI platforms rather than specific proprietary tools. You'll learn evaluation criteria to select the right tools for your organization's needs.
Yes, the course is designed for business professionals, managers, and analysts. While you'll learn technical concepts, the focus is on strategic implementation rather than coding or deep technical skills.
More questions
Financial aid available,