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In this video, Elizabeth explains how organisations can successfully adopt AI and data science by fostering a data-driven culture and strategically implementing AI projects.

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In the first video of this video series, James explains the concept of blockchain along with its benefits.

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Keep track of learning progress with our comprehensive data

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Testing and certifications

Gain CPD / CPE credits and professional certification

Managed learning

Build, scale and manage your organisation’s learning

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Connect Data Unlocked to your current platform

Featured Content

Featured Content

Implementing AI in your Organisation

In this video, Elizabeth explains how organisations can successfully adopt AI and data science by fostering a data-driven culture and strategically implementing AI projects.

Blockchain and Smart Contracts

In the first video of this video series, James explains the concept of blockchain along with its benefits.

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Certificate of completion issued to

Ben Laycock

For completing

Using AI Efficiently for Everyday Work Pathway

Completion date

19 May 2026

Delivered by

Accredited for

1 CPD credits

Certificate ID

14ab9a1522ecec81e82014d755d6a955

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About Using AI Efficiently for Everyday Work Pathway

7 Learning modules

39 minutes of learning

4.6 rating

Foundational level

AI is no longer confined to technical teams. It is becoming part of everyday work, shaping how tasks are completed, decisions are made, and ideas are developed. This pathway explores how individuals can use AI tools in practical, meaningful ways across their daily responsibilities. It shows how small shifts in how AI is used can help achieve greater efficiency and better results. As AI becomes embedded in the tools we use, the ability to work alongside it becomes a core professional skill.

In this pathway

Pathway experts

Emily Yang

Emily Yang

Human-Centred AI (HCAI) Expert

Emily Yang leads Human-Centred AI and Innovation at a global financial institution and serves on the organisation’s AI Safety and Governance committees. Her work focuses on advancing responsible and trustworthy AI systems that balance innovation with accountability. She is among the first practitioners in the industry to apply Human-Centred AI at scale. With over a decade of experience in human-computer interaction and user experience, Emily has held roles across tech startups, corporate venture builders, and major technology companies. Her journey into AI began with studies in biochemistry and neuroscience, followed by a research master’s in HCI and natural language technologies, during which she published work on perceived empathy and emotional intelligence in virtual agents.