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Microsoft Learning Pathways

Microsoft learn pathway for Azure, AI, Fabri and Data Science tracks.

• Microsoft Learning Pathways
  • AI-102 Designing and Implementing a Microsoft Azure AI Solution
  • DP-100 Designing and Implementing a Data Science Solution on Azure
  • AI-050 Develop Generative AI Solutions with Azure OpenAI Service

AI-102 Designing and Implementing a Microsoft Azure AI Solution

Designed to teach software developers how to create AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework to build computer vision, language analysis, knowledge mining, intelligent search, and conversational AI solutions on Azure.  Course-Overview on Microsoft Learn: AI-102T00: Designing and Implementing a Microsoft Azure AI Solution [https://learn.microsoft.com/training/courses/AI-102T00]

Prerequisites:

• First steps with C#
• First steps with Python
• AI capabilities on Azure, Azure AI Fundamentals certification

DP-100 Designing and Implementing a Data Science Solution on Azure

The Azure Data Scientist applies their knowledge of data science and machine learning to implementing and running machine learning workloads on Microsoft Azure; in particular, using Azure Machine Learning Service. This entails planning and creating a suitable working environment for data science workloads on Azure, running data experiments and training predictive models, managing and optimizing models, and deploying machine learning models into production. Designing and Implementing a Data Science Solution on Azure

• Creating cloud resources in Microsoft Azure.
• Using Python to explore and visualize data.
• Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow.
• Working with containers

Prerequisites:

• Explore Microsoft cloud concepts: https://docs.microsoft.com/learn/paths/explore-microsoft-azure-cloud-concepts/
• Create machine learning models: https://docs.microsoft.com/learn/paths/create-machine-learn-models/
• Administer containers in Azure: https://docs.microsoft.com/learn/paths/administer-containers-in-azure/
• Microsoft Azure AI Fundamentals for anyone completly new to Data science.

AI-050 Develop Generative AI Solutions with Azure OpenAI Service

Azure OpenAI Service provides access to OpenAI’s powerful large language models such as GPT; the model behind the popular ChatGPT service. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio. Course will cover on how to provision Azure OpenAI service, deploy models, and use them in generative AI applications.