
This course prepares developers to design, build, and operate cloud-based AI solutions on Azure, spanning the full development lifecycle from planning and architecture through to deployment and optimisation. Participants learn to work with Azure AI Foundry, Azure OpenAI, and the broader Azure AI service family to add generative, language, and vision capabilities to cloud applications, while provisioning and securing the underlying resources. The programme covers calling models through the SDK and REST APIs, applying prompt engineering, grounding models in organisational data using retrieval augmented generation and Azure AI Search, and orchestrating multi-step agent workflows. It extends into scaling and operationalising solutions in the cloud, applying DevOps and CI/CD practices, and embedding responsible AI, content safety, monitoring, and cost management so that solutions run reliably and securely at production scale. It suits developers and AI engineers building cloud-native AI solutions on Azure, and is delivered through instructor-led presentation, guided demonstrations, and hands-on labs in a live Azure environment.
Program Fee
1-on-1 doubt clearing, WhatsApp support group, lab environment access
Request Syllabus / Call BackThis course prepares developers to design, build, and operate cloud-based AI solutions on Azure, spanning the full development lifecycle from planning and architecture through to deployment and optimisation. Participants learn to work with Azure AI Foundry, Azure OpenAI, and the broader Azure AI service family to add generative, language, and vision capabilities to cloud applications, while provisioning and securing the underlying resources. The programme covers calling models through the SDK and REST APIs, applying prompt engineering, grounding models in organisational data using retrieval augmented generation and Azure AI Search, and orchestrating multi-step agent workflows. It extends into scaling and operationalising solutions in the cloud, applying DevOps and CI/CD practices, and embedding responsible AI, content safety, monitoring, and cost management so that solutions run reliably and securely at production scale. It suits developers and AI engineers building cloud-native AI solutions on Azure, and is delivered through instructor-led presentation, guided demonstrations, and hands-on labs in a live Azure environment.
PREREQUISITES
• Foundational familiarity with the subject area (equivalent to the relevant Fundamentals-level course)
• Basic hands-on comfort with the relevant Microsoft tools
→ Provision and configure Azure AI cloud resources
→ Build cloud-native applications that consume AI services
Total: 28h 30m across 3 modules
Prepares participants for the Microsoft AI-200 certification examination. Issued by Microsoft upon a passing score of 700 out of 1,000. A CertTulen Academy Certificate of Completion is also awarded.
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