Microsoft Azure AI Solutions Development is an advanced AI & Machine Learning course delivered in person and online by SBEEH Software Academy in Amman, Jordan.
4 Days (32 Hours)
Last updated August 16, 2026
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Hands-On Lab: Build a .NET application that uses Azure AI Document Intelligence to extract structured data (vendor, amount, date) from a folder of scanned invoices.
Real-World Scenario: An accounts payable team manually re-keys data from hundreds of PDF invoices every week into their accounting system.
Learning Outcome: Participants can integrate Azure AI Vision and Document Intelligence into an application to automate real document-processing work.
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Hands-On Lab: Build and train a custom text classification model to automatically route incoming customer support emails to the correct department based on content, and integrate it into a sample support application.
Real-World Scenario: Customer support emails are currently triaged manually by a single team member who reads every message before forwarding it.
Learning Outcome: Participants can train and integrate a custom language model into an application for a real classification task.
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Hands-On Lab: Build an application feature that uses Azure OpenAI with function calling to let users ask natural-language questions that are answered by querying a real application database.
Real-World Scenario: Internal staff want to ask questions like 'how many orders shipped late last month' in plain English instead of learning a reporting tool.
Learning Outcome: Participants can build a working generative AI feature that reliably connects natural language input to real application data and actions.
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Hands-On Lab: Build a RAG-based Q&A feature that answers questions grounded in a set of internal company documents, with content filtering and basic prompt-injection safeguards in place.
Real-World Scenario: Employees need to be able to ask questions about internal HR policy documents and get accurate, grounded answers rather than the model guessing or hallucinating an answer.
Learning Outcome: Participants leave with a complete, working RAG application and a practical understanding of the responsible AI safeguards required before shipping such a feature to production, aligned with AI-102 exam objectives.
This course is for application developers adding AI-powered features to real products, not for data scientists building models from scratch.
This course assumes working application development experience on Azure; it is not a data science or machine learning fundamentals course.
Upon successful completion of the training, participants will receive an official Certificate of Completion.
A look at our training sessions — hands-on training sessions with professionals across Jordan and the GCC.
Reach out and we'll help you plan the right training for your team.
