#CloudSkills Special: Become an AI Edge Engineer with Microsoft Learn and University of Oxford
Tags: machinelearning, azure
Published: 2020-10-02 15:30:15

> ####*Watch this episode on-demand (originally livestreamed Thursday 1st October on [Microsoft Learn TV](https://aka.ms/cs-learntv)):*####

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We're only just starting to understand the true potential of technology at the intersection of Artificial Intelligence, MLOps (Machine Learning & DevOps), Cloud Computing and Edge Computing - but the possibilities are endless.

For the past few years, our AI Engineers, Data Scientists and Cloud Advocates at Microsoft have been working with the University of Oxford to further the development of these technologies and further the practical application of these in the world.

The collaboration has resulted in the University of Oxford offering specific courses on AI and Cloud/Edge computing - and on the development of the [AI Edge Engineer Learning Path](https://aka.ms/learn-aiedge) on Microsoft Learn.

On the 1st October we brought together the team at Microsoft and the academics at University of Oxford that worked to build this learning path - watch the show to find out more about this free Learning Path, as well as some of the amazing applications of these technologies.
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![Pictures of the guests - details given below](https://dev-to-uploads.s3.amazonaws.com/i/0xvz1skdya2n0dm5phr1.png)

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On this show we met:

* [Amy Boyd](https://developer.microsoft.com/en-us/advocates/amy-boyd) - host of this episode and Cloud Advocate for AI + Machine Learning at Microsoft. Amy has been working with the University of Oxford for a number of years and helped build the [AI Edge Engineer Learning Path](https://aka.ms/learn-aiedge), as well as being a guest lecturer on the course at Oxford. She is also responsible for the Development of the Developer's Guide to AI series of content, seen at Microsoft events around the world and also featured on Microsoft Learn. 

* [Ajit Jaokar](https://www.linkedin.com/in/ajitjaokar?lipi=urn%3Ali%3Apage%3Ad_flagship3_profile_view_base_contact_details%3B%2F9bpk9nXQYq3frdKW3bBoQ%3D%3D) - Course Director: Artificial Intelligence: Cloud and Edge implementations at the University of Oxford. Ajit built the course at Oxford and is a Data Scientist at his company, feynlabs. He has also conducted AI courses in the London School of Economics (LSE), Universidad Politécnica de Madrid (UPM) and as part of the The Future Society at the Harvard Kennedy School of Government.

* [Ayşe Mutlu](https://www.linkedin.com/in/ayse-mutlu/) - Lead AI Tutor for Artificial Intelligence: Cloud and Edge implementations at the University of Oxford. Ayşe is an experience Data Scientist with a background in Engineering, Mixed Reality, IoT and Machine Learning. She was particularly instrumental in helping develop AI Edge content for Microsoft Azure. 

* [Marina Fernandez](https://www.linkedin.com/in/marina-fernandez-a7008612) - Analyst Developer at Anglo American and alumni of the Artificial Intelligence: Cloud and Edge implementations course. Marina is now a guest speaker and student mentor at the University of Oxford. She has over 15 years experience of Software Development, Business Analysis and Project Management.

* [Robert Wolf](https://www.linkedin.com/in/robert-wolf-816b392b/) - Senior Web and Application Developer at Fundamentals Ltd. Robert is also an alumni of the Artificial Intelligence: Cloud and Edge implementations course and has over 26 years experience in IT & Software Engineering. He is now responsible for designing, build and maintaining Python based machine learning workflow and infrastructures and data engineering/management systems.


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##Here are the links shared on the show:##
|  Resource       | URL  |
| ------------- | -----:|
Oxford University Course|https://bit.ly/oxford-course
AI Edge Engineer Learning Path|https://aka.ms/learn-aiedge
AZ220 Learning Pathway (IoT)|https://aka.ms/iotlp 
Intelligent Edge Patterns|https://github.com/Azure-Samples/azure-intelligent-edge-patterns
Project15|https://aka.ms/project15
Upcoming Microsoft Learn LIVE Events with Oxford|https://aka.ms/IoTOxford


*A huge thank you to all of the on-air team as well as Salman Chishti and Lee Stott for their efforts behind the scenes.*