Enterprise AI Applications with Azure OpenAI Training Course
Enterprise AI Applications with Azure OpenAI is a practical course on designing, building, and governing business applications that leverage Azure OpenAI services.
This instructor-led, live training (available online or on-site) is designed for intermediate-level developers and technical professionals who aim to use Azure OpenAI to build secure, useful, and scalable enterprise AI solutions.
By the end of this training, participants will be able to:
- Explain Azure OpenAI capabilities and common enterprise use cases.
- Create effective prompts and evaluate AI behaviour for business tasks.
- Develop AI features that integrate with enterprise data using Azure services.
- Apply security, responsible AI, and monitoring best practices in production environments.
Course Format
- Interactive lectures and group discussions.
- Guided exercises and real-world examples.
- Hands-on implementation in a live lab environment.
Course Customisation Options
- To request a customised version of this training, please contact us to arrange.
Course Outline
Azure OpenAI Foundations for Enterprise Use
- What Azure OpenAI is and how it integrates into the Azure ecosystem
- Common enterprise use cases for generative AI
- Core models, capabilities, and solution patterns
Getting Started with Azure OpenAI
- Setting up Azure OpenAI resources, access, and deployment options
- Exploring the playground and API options
- Sending prompts and evaluating responses
Prompt Design for Business Applications
- Writing clear instructions and structured prompts
- Using roles, examples, and output formatting
- Improving consistency for summarisation, question answering, and content generation
Building and Integrating AI Features
- Adding chat, summarisation, and content assistance to applications
- Calling Azure OpenAI from application backends and services
- Designing user workflows that deliver business value
Connecting AI to Enterprise Data
- Understanding retrieval-augmented generation in practical terms
- Using Azure AI Search with Azure OpenAI
- Grounding responses with trusted business content
Security, Responsible AI, and Operations
- Access control, data protection, and deployment considerations
- Content safety, human oversight, and responsible AI practices
- Monitoring usage, quality, and cost in production scenarios
Hands-On Application Workshop and Wrap-Up
- Building a simple enterprise AI application scenario
- Testing prompts, data grounding, and output quality
- Reviewing implementation next steps for pilot and production deployment
Requirements
- A basic understanding of cloud computing and web application concepts
- Familiarity with Azure services, REST APIs, or application integration
- Basic programming experience
Target Audience
- Application developers
- Solution architects
- Technical managers and innovation leads
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