Online Azure AI Training in Kenya

Azure Machine Learning (ML) and Azure OpenAI are cloud services that enable teams to build, evaluate, and deploy machine learning and generative AI capabilities into production applications.

This instructor-led, live training (online or onsite) is aimed at intermediate-level data and application professionals who wish to use Azure ML and Azure OpenAI to create, deploy, and operate end-to-end AI solutions.

By the end of this training, participants will be able to:

• Navigate Azure Machine Learning Studio and implement end-to-end ML workflows.
• Prepare data, train, test, and evaluate models with appropriate validation metrics.
• Register, package, and deploy models reliably to managed endpoints.
• Integrate Azure OpenAI models and Azure AI Search into applications using best practices.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. The course will use C# or Python as the programming language.

Audience Profile

Software engineers concerned with building, managing and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and conversational AI solutions on Azure.

This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. The course is designed as a blended learning experience that combines instructor-led training with online materials on the Microsoft Learn platform (https://azure.com/learn). The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.