Automation & Workflow Engineering
Master business process automation and workflow engineering. Learn to build intelligent systems that streamline operations and maximize efficiency using modern automation tools and AI.
Learning Outcomes
By course completion, learners will:
Course Orientation (Module 0)
Purpose: Develop automation and efficiency mindset.
Contents:
- • Business process analysis methodology
- • Automation opportunity identification
- • ROI calculation and business case development
- • Tool selection and integration strategies
- • Change management and adoption planning
- • Continuous improvement frameworks
Deliverable:
- • Current process audit and documentation
- • Automation opportunity assessment
- • Tool ecosystem setup and configuration
Learning Module Template
Each module follows this business-focused structure:
1. Concept Overview
Business impact, process optimization, efficiency gains
2. Theory (Minimal but Precise)
Workflow patterns, integration architectures, automation principles
3. Engineering Perspective
Scalability, maintainability, error handling, monitoring
4. Hands-On Tasks
Workflow implementation, API integration, testing automation
5. Mini Assignment
Process optimization, custom automation, business case development
6. Review Checklist
Performance metrics, ROI validation, maintenance planning
Course Phases
Phase 1
(Week 1-2)Foundation Setup
Automation principles, Process analysis, Tool ecosystem
Phase 2
(Week 3-6)Core Features
Workflow design, API integrations, No-code platforms
Phase 3
(Week 7-9)Advanced Features
Custom automation, AI integration, Enterprise solutions
Phase 4
(Week 10-11)Optimization
Performance monitoring, ROI analysis, Scaling strategies
Phase 5
(Week 12)Final Polish
Business case study, Implementation strategy, Certification
Evaluation & Certification
Mandatory components: