Choosing the right Azure AI service - You will learn when to use Azure OpenAI, Cognitive Services, or Azure Machine Learning, so you can match the right technology to a specific business goal much faster.
Your first deployment step by step - You will go through launching your first AI solution in Microsoft cloud, so after the training you will be able to configure the environment, service, and test scenario on your own.
Hands-on work in Azure AI Studio - You will use Azure AI Studio, Power Platform, and Cognitive Services APIs in practice, which will help you understand how these tools support real AI implementation work.
Document workflow automation - You will see how to apply AI to document and text analysis to speed up invoice, contract, and report processing while reducing manual data entry and routine verification work.
Stronger customer service solutions - You will explore how to design customer service solutions such as chatbots, conversation analysis, and smart replies to shorten response times and improve service quality.
AI for speech, images, and feedback - You will learn practical uses of transcription, translation, intent analysis, OCR, and object recognition, making it easier to identify high-value AI scenarios for your company.
Confident implementation without pitfalls - You will learn how to avoid common implementation mistakes, spot the limits of ready-made models, and account for GDPR, AI Act, and Data Act requirements from the start.
A working prototype from the workshop - During the workshop, you will design and implement a simple AI solution such as a chatbot, OCR flow, or sentiment analysis, leaving with a concrete outcome you can build on.
Basic cloud literacy - You should be comfortable navigating cloud services and understand concepts such as resources, subscriptions, admin portals, and access to online services.
General IT awareness - A basic understanding of business applications, integrations, and data-related work will help you see how AI solutions fit into existing processes and systems.
Working with data and documents - You should understand how documents, text, and input data are handled in your company so you can assess scenarios such as OCR, sentiment analysis, or content classification.
Readiness for hands-on exercises - Be ready to configure and test services on your own, because the training is built around active workshop work rather than only watching presentations and demos.
