The agenda of the workshop was to provide students with a hands-on experience of Microsoft Azure Cognitive Services focusing mainly on Custom Vision and QnA Maker.
Also provided a brief introduction to Microsoft Azure and fundamentals of cloud computing concepts. Help them figure out how to exhibit Artificial Intelligence, Machine Learning, and Natural Language Processing (NLP) projects on their resume.
The workshop was attended by 30 students. All students received a Microsoft Azure for Student subscriptions.
Starting with the basic concepts of cloud computing and how Azure Cognitive Services fits into the Microsoft Azure ecosystem. Elaborating on how API calls embed the ability to see, hear, speak, search, understand, and accelerate advanced decision-making into modern applications.
Quick revision of services under the Cognitive Services umbrella such as:
Question Answering - Distill information into easy-to-navigate questions and answers.
Conversational language understanding - Enable your apps to interact with users through natural language.
Speech to Text - Transcribe audible speech into readable, searchable text.
Computer Vision - Analyze content in images and video.
Custom Vision - Customize image recognition to fit your business needs.
Face API - Detect and identify people and emotions in images.
After the introduction, the subscription were created by the students. Activating Azure for Student provided each of the students with a balance of $100 USD that they could use to explore and experiment with the services on the Azure portal.
All the activities performed were strictly directed by the Learning module on Microsoft Learn
Click the Custom Vision title to view the Microsoft Learn Document for this activity.
The first activity to be performed was on Custom Vision, where we discussed:
What is Custom Vision?
What are the applications of custom vision?
How to implement Custom Vision to your application?
How to verify the functionalities of the trained model?
To verify and test the model by running a simple command-line program in the Cloud Shell, real-world solutions, such as web sites or phone applications, use the same ideas and functionalities.
Troubleshooting the errors and blockades faced by the attendees throughout the workshop
After the Custom Vision session, there was short FAQ session to answer all the queries regarding custom vision.
Click the QnA Maker title to view the Microsoft Learn Document for this activity.
In the QnA Maker session, we aimed to create a live chat bot using python by:
A questioning session was held where students can ask their queries about Microsoft services especially regrading Microsoft Azure and its services. A brief discussion about the Microsoft certifications and how students can leverage Microsoft Learn to excel in the certification exams.
Provision of a roadmap on what their approach should be if they want to make a career in Artificial Intelligence, Data Science, and Cloud Computing.
Take away from this session was to get a hands-on experience on Custom Vision and QnA Maker as service offerings from Microsoft Azure, and build real-time project on the same to showcase on their resume.
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