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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.

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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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Our Platform

Expert-led content

100's of expert presented, on-demand video modules

Learning analytics

Keep track of learning progress with our comprehensive data

Interactive learning

Engage with our video hotspots and knowledge check-ins

Testing and certifications

Gain CPD / CPE credits and professional certification

Managed learning

Build, scale and manage your organisation’s learning

Integrations

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.

Featured Content

Ready to get started?

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Certificate of completion issued to

Jack Levins

For completing

Generative AI Foundations Pathway

Completion date

17 Jun 2026

Delivered by

Accredited for

1.5 CPD credits

Certificate ID

314e9219fa540dd6ef966ce7c7a1632d

Join now to learn

Our pathways are only available to subscribers. Access this and 100s of other pathways by signing up.

About Generative AI Foundations Pathway

8 Learning modules

2 hours of learning

4.3 rating

Foundational level

AI is reshaping the workplace, but how do we use it effectively? In this pathway, we break down AI’s strengths in automation and data processing, its limitations in creativity and emotional intelligence, and how to collaborate with it. You'll explore practical techniques like prompt engineering, managing AI’s technical constraints, and balancing human oversight with AI-driven insights. By the end, you’ll have the tools to integrate AI into your workflow while ensuring its outputs remain accurate, relevant, and cost-effective.

In this pathway

Understand AI’s strengths and limitations in automation, data processing, and decision-making

Explore strategies for effective AI collaboration, including prompt engineering and task allocation

Learn how to manage AI constraints, such as token limits and cost considerations

Identify where human oversight is essential to ensure AI-generated insights remain relevant and accurate

Pathway experts

Maurice Tony Ewing

Maurice Tony Ewing

AI Transformation Consultant

Maurice Tony Ewing is a seasoned professional in training, consulting, and executive coaching, having advised and trained thousands of executives and managers across over 60 countries. With a background in banking and board membership, Maurice runs his own consulting firm, Conquer Risk, and teaches data analytics at Columbia University. His most notable accomplishment is leading the data science team that created the world's first mobile-lending platform, which was crucial in Google's creation of "Bebapay" and the NFC payment and lending process. Since then, Maurice has helped companies launch digital initiatives and build strategic, governance, risk, and compliance frameworks. He aims to bring his practical experience and technical knowledge to these learning streams to assist others in learning.