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URL: https://www.coursera.org/learn/building-and-deploying-genai-agents-for-process-automation

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Building and Deploying GenAI Agents for Process Automation

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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
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

Details to know

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Assessments

13 assignments

Taught in English

Build your subject-matter expertise

This course is part of the GenAI for Business Process Automation Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

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.

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

7 videos•Total 24 minutes
  • Welcome to GenAI Agents for Process Automation•3 minutes
  • What Is an AI Agent?•3 minutes
  • AI Agents vs AI-powered Automation•3 minutes
  • AI Decision-Making Models•4 minutes
  • AI Agent Decision Process•3 minutes
  • The 5 Pillars of Agent Architecture•4 minutes
  • Agent Tool Usage and Integration Patterns•3 minutes
4 readings•Total 18 minutes
  • Course Overview•4 minutes
  • How to Succeed in This Course•3 minutes
  • Helpful Tools and Resources•5 minutes
  • Module Summary: Designing AI Agents for Complex Process Automation•6 minutes
4 assignments•Total 54 minutes
  • Graded Quiz: Designing AI Agents for Complex Process Automation•24 minutes
  • Practice Quiz: Foundations of AI Agents and Intelligent Automation•10 minutes
  • Practice Quiz: AI Agent Decision-Making•10 minutes
  • Practice Quiz: Agent Architecture and Components •10 minutes
1 discussion prompt•Total 10 minutes
  • Designing an Agent with the Five Pillars in Mind•10 minutes
4 plugins•Total 47 minutes
  • Reading: Agent Ecosystem: Tools and Platforms Overview•5 minutes
  • Reading: AI Memory and Context Awareness•5 minutes
  • Reading: Agent State Management and Feedback Systems•7 minutes
  • Lab: Design an Agent Blueprint•30 minutes

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

6 videos•Total 32 minutes
  • From Agent Design to Implementation•6 minutes
  • Agent Development Lifecycle and Best Practices•6 minutes
  • Programming Agent Memory and Context•5 minutes
  • Agent Decision Trees and Logic Flows•5 minutes
  • Agent Assembly: Bringing Architecture to Life•5 minutes
  • Testing and Debugging Agent Behavior •6 minutes
1 reading•Total 4 minutes
  • Module Summary: Building Your First AI Agent•4 minutes
4 assignments•Total 45 minutes
  • Graded Quiz: Building Your First AI Agent •15 minutes
  • Practice Quiz: Agent Development Platforms and Setup•10 minutes
  • Practice Quiz: Agent Architecture Implementation•10 minutes
  • Practice Quiz: Building and Testing Agents•10 minutes
1 discussion prompt•Total 10 minutes
  • AI Integration in the real world•10 minutes
7 plugins•Total 115 minutes
  • Reading: Platform Selection Criteria and Setup•6 minutes
  • Reading: Agent Instruction Design and Prompt Engineering•8 minutes
  • Lab: Discover Platform Features and Functions•30 minutes
  • Reading: Agent Tool Integration Fundamentals•5 minutes
  • Lab: Configure Your First Agent Setup•30 minutes
  • Reading: Understanding Agent Data: JSON and API Basics•6 minutes
  • Lab: Build and Test a Simple Agent•30 minutes

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

6 videos•Total 32 minutes
  • Preparing AI Agents for Deployment•5 minutes
  • Best Practices for AI Deployment in Business•6 minutes
  • Scaling AI Automation Across Teams and Departments•6 minutes
  • Common Challenges in AI Scaling and Strategies to Overcome Them•5 minutes
  • Monitoring AI Agent Performance and Debugging Workflows •5 minutes
  • Optimizing AI Automation for Efficiency •6 minutes
1 reading•Total 4 minutes
  • Module Summary: Deploying and Scaling AI Agents in Production•4 minutes
4 assignments•Total 51 minutes
  • Graded Quiz: Deploying and Scaling AI Agents in Production•21 minutes
  • Practice Quiz: Deploying AI Agents•10 minutes
  • Practice Quiz: Scaling AI Agents•10 minutes
  • Practice Quiz: Optimizing AI Agent Performance •10 minutes
1 discussion prompt•Total 10 minutes
  • Designing for Failure: Building Resilient Agents•10 minutes
7 plugins•Total 92 minutes
  • Reading: AI Deployment Models and Strategies•6 minutes
  • Reading: Python Scripting for Agent Management•7 minutes
  • Reading: Strategies for Scaling AI-Powered Agent Workflows•8 minutes
  • Lab: Design a Deployment and Scaling Strategy•30 minutes
  • Reading: AI Performance Tuning and Continuous Improvement Strategies•5 minutes
  • Reading: Agent Performance Metrics and KPIs•6 minutes
  • Lab: Analyze AI Workflow Performance and Recommend Improvements•30 minutes

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

1 video•Total 3 minutes
  • Course Summary•3 minutes
2 readings•Total 3 minutes
  • Congratulations and Next Steps•2 minutes
  • Thanks from the Course Team•1 minute
1 assignment•Total 51 minutes
  • Final Exam: Building and Deploying GenAI Agents for Process Automation•51 minutes
1 peer review•Total 30 minutes
  • Final Project: Submission and Evaluation•30 minutes
2 plugins•Total 75 minutes
  • Final Project: Automate a Business Process Using Generative AI•60 minutes
  • Glossary: Building and Deploying GenAI Agents for Process Automation•15 minutes

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Instructors

SkillUp
6 Courses•5,996 learners

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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.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,