Applying GenAI Tools for Process Automation
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Applying GenAI Tools for Process Automation
This course is part of GenAI for Business Process Automation Specialization
Instructors: Kasie Pardi
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Recommended experience
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What you'll learn
Describe the principles for identifying AI automation opportunities in business processes.
Explore potential use cases for AI automation within specific business scenarios.
Evaluate the effectiveness of integrated AI workflows against business requirements.
Design an automated document processing and communication workflow for a specific business scenario.
Skills you'll gain
Tools you'll learn
Details to know
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- 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 5 modules in this course
This course will teach you essential skills for implementing AI-powered automation that transforms business processes and drives measurable results. You will learn about identifying high-impact automation opportunities, designing multi-step AI workflows, and integrating intelligent systems that scale with your organization's needs.
You’ll dive into hands-on strategies for building reliable, AI-enabled workflows that respond to real business needs. You’ll also learn how to automate tasks like document processing and team communication using chain prompting and smart integrations—without needing to be a technical expert. You’ll see how to connect these workflows to existing tools to reduce manual work and amplify results. As you go, you’ll also explore how to design automations that are resilient and trustworthy. From error handling to monitoring and fallback plans, you’ll gain practical tips for building workflows that work smoothly. You’ll also discover how to combine multiple AI services to automate complete processes from end to end. Through hands-on practice with real business scenarios, you'll gain the skills to evaluate AI tools, measure automation performance, and continuously optimize systems for sustained business impact. This training prepares you to take on AI automation initiatives, identify strategic implementation opportunities, and transform manual processes into intelligent, scalable workflows.
In this module, you will explore the foundational skills needed for intermediate AI automation by developing advanced prompt engineering capabilities and strategic project planning approaches. You will learn to identify high-impact automation opportunities, design sophisticated prompts with roles and personas, and create multi-step AI workflows through prompt chaining. By understanding strategic planning frameworks and advanced prompting techniques, you will be prepared to build complex AI automation solutions that deliver measurable business value.
What's included
4 videos4 readings4 assignments1 discussion prompt6 plugins
4 videos•Total 20 minutes
- GenAI Tools for Process Automation•3 minutes
- Planning Multi-Step AI Automation Projects•6 minutes
- Role-Based and Persona Prompting for Business Applications•5 minutes
- Building and Testing Prompt Chains for Business Processes•6 minutes
4 readings•Total 15 minutes
- Course Overview•3 minutes
- How to Succeed in This Course•2 minutes
- Reading: Helpful Tools and Resources•5 minutes
- Module Summary: Mastering AI for Advanced Automation•5 minutes
4 assignments•Total 54 minutes
- Graded Quiz: Mastering AI for Advanced Automation•30 minutes
- Practice Quiz: Strategic Planning for AI Automation•8 minutes
- Practice Quiz: Advanced Prompt Engineering Techniques•8 minutes
- Practice Quiz: Multi-Step Prompt Engineering and Chaining•8 minutes
1 discussion prompt•Total 10 minutes
- Identifying AI Automation Opportunities in Your Workplace•10 minutes
6 plugins•Total 57 minutes
- Reading: Identifying High-Impact AI Automation Opportunities•3 minutes
- Reading: Matching Business Needs to Automation Categories•5 minutes
- Reading: Advanced Prompt Engineering Techniques•9 minutes
- Reading: Few-Shot Learning and Structured Output Formatting•5 minutes
- Reading: Context Management in Prompt Chains•5 minutes
- Lab: Advanced Prompt Engineering Practice: Creating Role-Based Prompts and Simple Chains•30 minutes
In this module, you will learn to design and build complex AI workflows that incorporate sophisticated decision-making logic and robust error handling. You will master the techniques for creating multi-step processes with conditional branching, systematic workflow architecture, and resilient automation that can handle failures gracefully. By understanding how to chain prompts with decision points and implement fallback scenarios, you will be able to create sophisticated AI workflows that operate reliably in real business environments.
What's included
4 videos1 reading4 assignments6 plugins
4 videos•Total 26 minutes
- Designing Multi-Step AI Processes for Business Applications •9 minutes
- Systematic Approach to AI Workflow Architecture•5 minutes
- Building Prompt Chains with Decision Points and Branching•6 minutes
- Designing Robust AI Workflows with Error Handling•5 minutes
1 reading•Total 7 minutes
- Module Summary: Building Complex AI Workflows and Logic•7 minutes
4 assignments•Total 56 minutes
- Graded Quiz: Building Complex AI Workflows and Logic•30 minutes
- Practice Quiz: Multi-Step Processes and Systematic Workflow Design•8 minutes
- Practice Quiz: Chaining Prompts with Conditional Logic•10 minutes
- Practice Quiz: Error Handling and Fallback Scenarios•8 minutes
6 plugins•Total 57 minutes
- Reading: Principles of Multi-Step AI Decision Making•9 minutes
- Reading: Introduction to Conditional Logic in AI Workflows •5 minutes
- Reading: Advanced Conditional Logic Patterns and Implementation•4 minutes
- Reading: Common Workflow Failures and Prevention Strategies•3 minutes
- Reading: Fallback Scenarios and Recovery Mechanisms•6 minutes
- Lab: Building a Multi-Step AI Workflow with Conditional Logic•30 minutes
In this module, you will explore how AI automates business processes by processing documents, extracting structured data, generating content, and optimizing communication. You will apply AI tools to automate processes, reducing manual effort while improving accuracy and efficiency. Through hands-on exercises, you will learn to integrate AI-driven documents and communication automation into seamless business processes.
What's included
6 videos1 reading4 assignments6 plugins
6 videos•Total 32 minutes
- AI Techniques for Document Classification and Processing•4 minutes
- Extracting and Validating Data with AI•6 minutes
- Analyzing Communication Patterns and User Intents•5 minutes
- Message Categorization and AI Response Generation•5 minutes
- Designing an AI Automated Process with Integrations •5 minutes
- Connecting Document and Communication Automation to Business Workflows•7 minutes
1 reading•Total 15 minutes
- Module Summary: AI-Powered Process Automation•15 minutes
4 assignments•Total 50 minutes
- Graded Quiz: AI-Powered Process Automation•24 minutes
- Practice Quiz: Automating Document Processes with AI•8 minutes
- Practice Quiz: AI-Powered Communication Automation•8 minutes
- Practice Quiz: Designing and Optimizing AI Automated Processes•10 minutes
6 plugins•Total 57 minutes
- Reading: AI-Powered Content Generation and Integration•4 minutes
- Reading: Understanding Conversational AI and Chat Automation•9 minutes
- Reading: Principles of Conversational Design•3 minutes
- Reading: Challenges and Best Practices in AI Process Automation•5 minutes
- Reading: Strategies for Evaluating and Improving Multi-System AI Automation •6 minutes
- Lab: Designing an AI-Powered Document and Communication Automation Workflow•30 minutes
In this module, you will learn to integrate AI-driven documents and communication automation, troubleshoot common issues, and optimize performance. You will apply common integration patterns, implement error-handling techniques, and test workflow performance for reliability. Through hands-on exercises, you'll develop skills in optimizing automated workflows, preparing you to design and implement your own automation project in the final module.
What's included
6 videos1 reading4 assignments1 discussion prompt6 plugins
6 videos•Total 30 minutes
- Designing AI-Powered Automation Architectures •5 minutes
- Integrating AI Services for End-to-End Process Automation •6 minutes
- Recognizing and Diagnosing AI Automation Failures•5 minutes
- Troubleshooting AI Errors in Automated Processes•5 minutes
- Strategies for Improving AI Automation Over Time•5 minutes
- Techniques for Testing Automated Workflows•5 minutes
1 reading•Total 5 minutes
- Module Summary: Building End-to-End AI Workflows•5 minutes
4 assignments•Total 57 minutes
- Graded Quiz: Building End-to-End AI Workflows•27 minutes
- Practice Quiz: Connecting Multiple AI Services•10 minutes
- Practice Quiz: Common AI Workflow Errors•10 minutes
- Practice Quiz: Testing and Optimizing AI Workflows•10 minutes
1 discussion prompt•Total 15 minutes
- Approaching AI Automation Implementation•15 minutes
6 plugins•Total 55 minutes
- Reading: Performance Optimization for Multi-AI Service Workflows•5 minutes
- Reading: Scalability Considerations•4 minutes
- Reading: Best Practices for Mitigating AI Automation Risks•5 minutes
- Lab: Troubleshooting and Optimizing an AI Workflow Scenario •30 minutes
- Reading: Evaluating the Performance of AI-Driven Automation•5 minutes
- Reading: Metrics and Methods for AI Process Optimization•6 minutes
In this module, you will apply your learning to implement a complete AI automation solution. You'll analyze requirements, select appropriate tools, and validate your implementation through testing. In your final project, you'll create a working automation that demonstrates your ability to apply AI tools to real business processes.
What's included
1 video3 readings1 assignment1 peer review1 plugin
1 video•Total 3 minutes
- Course Summary•3 minutes
3 readings•Total 66 minutes
- Final Project: Design and implement an end-to-end AI automation workflow •60 minutes
- Reading: Congratulations and Next Steps•5 minutes
- Reading: Thanks from the Course Team•1 minute
1 assignment•Total 60 minutes
- Graded Quiz: Applying GenAI Tools for Process Automation•60 minutes
1 peer review•Total 30 minutes
- Final Project: Submission and Evaluation•30 minutes
1 plugin•Total 12 minutes
- Glossary: Applying GenAI Tools for Process Automation•12 minutes
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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.
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Financial aid available,
