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Applying GenAI Tools for Process Automation
Course
Applying GenAI Tools for Process Automation
Master AI-Powered automation for scalable business impact. Learn to design, build, and optimize intelligent workflows that transform business operations.
Flexible Schedule
Intermediate Level
Mentor Support
Estimated Time
5 weeks
3-4 hours/week
3-4 hours/week
Course Outline
Video: GenAI Tools for Process Automation (3:00)
Reading: Course Overview
Grading Scheme
Reading: How to Succeed in This Course
Reading: Helpful Tools and Resources
Reading: Module Description and Learning Objectives
Reading: Identifying High-Impact AI Automation Opportunities
Video: Planning Multi-step AI Automation Projects (5:45)
Reading: Matching Business Needs to Automation Categories
Reading: Advanced Prompt Engineering Techniques
Video: Role-Based and Persona Prompting for Business Applications
Reading: Few-Shot Learning and Structured Output Formatting
Video: Building and Testing Prompt Chains for Business Processes (6:20)
Reading: Context Management in Prompt Chains
Lab: Advanced Prompt Engineering Practice: Creating Role-Based Prompts and Simple Chains
Module 1 Practice Quiz: Mastering AI for Advanced Automation
Reading: Module Summary: Mastering AI for Advanced Automation
Module 1 Graded Quiz: Mastering AI for Advanced Automation
Reading: Module Description and Learning Objectives
Video: Designing Multi-Step AI Processes for Business Applications (9:06)
Video: Systematic Approach to AI Workflow Architecture (5:07)
Reading: Principles of Multi-Step AI Decision Making
Reading: Introduction to Conditional Logic in AI Workflows
Video: Building Prompt Chains with Decision Points and Branching (6:17)
Reading: Advanced Conditional Logic Patterns and Implementation
Reading: Common Workflow Failures and Prevention Strategies
Video: Designing Robust AI Workflows with Error Handling (5:24)
Reading: Fallback Scenarios and Recovery Mechanisms
Lab: Building a Multi-Step AI Workflow with Conditional Logic
Module 2 Practice Quiz: Building Complex AI Workflows and Logic
Reading: Module Summary: Building Complex AI Workflows and Logic
Module 2 Graded Quiz: Building Complex AI Workflows and Logic
Reading: Module Description and Learning Objectives
Video: AI Techniques for Document Classification and Processing
Video: Extracting and Validating Data with AI (5:53)
Reading: AI-Powered Content Generation and Integration
Reading: Understanding Conversational AI and Chat Automation
Video: Analyzing Communication Patterns and User Intents (5:15)
Video: Message Categorization and AI Response Generation (4:56)
Reading: Principles of Conversational Design
Video: Designing an AI Automated Process with Integrations (4:56)
Video: Connecting Document and Communication Automation to Business Workflows (7:25)
Reading: Challenges and Best Practices in AI Process Automation
Reading: Strategies for Evaluating and Improving Multi-System AI Automation
Lab: Designing an AI-Powered Document and Communication Automation Workflow
Module 3 Practice Quiz: AI-Powered Process Automation
Reading: Module Summary: AI-Powered Process Automation
Module 3 Graded Quiz: AI-Powered Process Automation
Reading: Module Description and Learning Objectives
Video: Designing AI-Powered Automation Architectures (4:55)
Video: Integrating AI Services for End-to-End Process Automation (5:46)
Reading: Performance Optimization for Multi-AI Service Workflows
Reading: Scalability Considerations
Video: Recognizing and Diagnosing AI Automation Failures (4:59)
Video: Troubleshooting AI Errors in Automated Processes
Reading: Best Practices for Mitigating AI Automation Risks
Lab: Troubleshooting and Optimizing an AI Workflow Scenario
Reading: Evaluating the Performance of AI-Driven Automation
Video: Strategies for Improving AI Automation Over Time (4:46)
Video: Techniques for Testing Automated Workflows (4:43)
Reading: Metrics and Methods for AI Process Optimization
Module 4 Practice Quiz: Building End-to-End AI Workflows
Reading: Module Summary: Building End-to-End AI Workflows
Module 4 Graded Quiz: Building End-to-End AI Workflows
Reading: Module Description and Learning Objectives
Reading: Final Project: Design and implement an end-to-end AI automation workflow
Peer Review: Final Project: Submission and Evaluation
Video: Course Summary (2:44)
Glossary: Applying GenAI Tools for Process Automation
Final Exam: Applying GenAI Tools for Process Automation
Reading: Congratulations and Next Steps
Reading: Thanks from the Course Team
Why Learn with SkillUp Online?
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Personalized Mentoring & Support
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Practical Experience
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Best-in-Class Course Content
Designed by the industry for the industry so you can build job-ready skills.
Job-Ready Skills Focus
Competency building and global certifications employers are actively looking for.
Type of certificate
Certificate of Completion
About this course
05 Modules
04 Skills
Includes
Discussion space
04 Hands-on labs
04 Practice quizzes
04 Graded quizzes
01 Final project
01 Final exam
Create
Role-Based Prompts and Simple Chains
Multi-Step AI Workflow with Conditional Logic
AI-Powered Document and Communication Automation Workflow
Exercises to explore
Troubleshooting and Optimizing an AI Workflow Scenario
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