Business Process Automation with Generative Artificial Intelligence
About This Course
As organisations increasingly adopt generative Artificial Intelligence (AI), there is a growing shift from isolated experimentation towards embedding AI into everyday business operations. Companies are looking to automate repetitive tasks, streamline workflows, and improve productivity, yet many efforts remain fragmented and lack integration into real business processes.
This course is designed to help professionals bridge that gap by focusing on business process automation with generative AI. It is suited for individuals in operations, finance, marketing, and administrative roles who want to move beyond basic prompting and develop structured, end-to-end automation workflows. Participants will learn how to identify automation opportunities, design effective AI-driven processes, and implement solutions that deliver tangible efficiency gains in real-world settings.
What You'll Learn
• Principles of effective prompt design (clarity, structure, constraints)
• Techniques for refining prompts to improve accuracy and consistency
Topic 2: Structured Thinking for Artificial Intelligence (AI) Workflows
• Translating business problems into logical, step-by-step processes
• Designing workflows that effectively incorporate AI capabilities
Topic 3: Working with Application Programming Interfaces (APIs)
• Understanding how AI systems connect to external data and services
• Using APIs to enable data flow and extend automation capabilities
Topic 4: Debugging and Validation
• Identifying common failure modes in AI-generated outputs
• Techniques for testing, validating, and improving workflow reliability
Topic 5: Automation Tools and Implementation
• Building simple automation workflows using scripting and orchestration tools
• Integrating AI into practical business use cases (e.g. document processing, reporting)
Entry Requirements
Recommended Prior Learning:
• Completion of an introductory course in Generative Artificial Intelligence (AI) (or equivalent foundational knowledge).
• Proficiency in prompt-based interaction with AI systems.