Course Outline
Module 7: Automating Workflows
This module has 14 videos, 2 self-study assignment, 2 quizzes, 1 discussion board and 3 readings. You will need approximately 4-6 hours to complete this module.
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Module 7: Introduction and Instructions
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Video 1 [04:04]: Module Introduction
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Video 2 [06:13]: Demo vs Pilot
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Video 3 [02:46]: Klarna: Case Study
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Video 4 [03:53]: Allianz Project Nemo: Case Study
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Video 5 [02:58]: Salesforce Agentforce: Case Study
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Watch: The Race for Excel AI Agents: Here's What to Know
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Video 6 [04:16]: Chatbot vs Agent
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Video 7 [03:37]: Human-Guided Agent Patterns
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Self-Study Quiz 7.1: Think & Apply💡From Experimentation to Real-World Pilots
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Video 8 [04:09]: Connectors for Automation
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Video 9 [03:05]: Five Design Principles
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Video 10 [03:41]: Multi-Agent Platforms
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Video 11 [02:15]: Singapore Bank’s Agentic Workflow: Case Study
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Video 12 [03:22]: When to use Multi-Agent Platforms
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Self-Study Quiz 7.2: Think & Apply💡Designing Agentic Workflows
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Video 13 [10:20]: M365 Copilot Workflows: Demo
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Self-Study Assignment 7.3: Think & Act💡 Design Your AI Workflow Pilot
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Reading: Spot the Automation Opportunity
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Video 14 [04:03]: Final Thoughts
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Self-Study Assignment 7.4: Think & Act💡Workflow Governance Review
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Discussion Board 7.5: Think & Share💡Trusting AI Agents at Work
Watch: The Race for Excel AI Agents: Here's What to Know
This video focuses on how AI is transforming spreadsheet work (like Excel) by automating complex and repetitive tasks, making processes much faster and more efficient.
It highlights how this shift could change entry-level jobs, as tasks traditionally done by humans can now be handled by AI tools. At the same time, it explains that human judgment and decision-making are still important, especially for interpreting results and giving correct inputs.
Overall, it suggests you should learn to use AI wisely while still developing your own thinking and analytical skills.
Watch: The Race for Excel AI Agents: Here's What to Know Links to an external site.
It highlights how this shift could change entry-level jobs, as tasks traditionally done by humans can now be handled by AI tools. At the same time, it explains that human judgment and decision-making are still important, especially for interpreting results and giving correct inputs.
Overall, it suggests you should learn to use AI wisely while still developing your own thinking and analytical skills.
Watch: The Race for Excel AI Agents: Here's What to Know Links to an external site.