Generative AI is revolutionizing how organizations produce content, interact with their data and automate complex tasks. However, integrating GPT models into secure, high-performance business applications requires specific skills that few professionals master today. Without structured training, development teams struggle to unlock the full potential of Azure OpenAI Service and build reliable solutions for production environments.
This 1-day AI-3016 training teaches you to develop generative AI solutions with Azure OpenAI Service. You will learn to deploy and configure GPT-4 models, master prompt engineering techniques for precise and reproducible results, implement the RAG (Retrieval-Augmented Generation) pattern to connect AI to your enterprise data and use DALL-E for image generation. Hands-on labs on the Azure cloud platform guide you through building complete generative AI applications, from service configuration to integration into a functional application. This official Microsoft course is delivered by MCT-certified trainers at ITTA, a Microsoft Learning Partner, at our Geneva and Lausanne centers.
Module 1 : Plan and prepare to develop AI solutions on Azure
Module 2 : Select, deploy, and evaluate Microsoft Foundry models
Module 3 : Develop a generative AI chat app with Microsoft Foundry
Module 4 : Develop generative AI apps that use tools
Module 5 : Optimize generative AI model performance with Microsoft Foundry
Module 6 : Implement a responsible generative AI solution in Microsoft Foundry
Azure OpenAI Service provides access to the most advanced generative AI models (GPT-4, GPT-4o, DALL-E) in a secure, enterprise-compliant cloud environment. Unlike using ChatGPT directly, Azure OpenAI Service offers guarantees around data privacy, regulatory compliance, and access control. Your data is not used to train the models, and the service benefits from Azure infrastructure with its security certifications (ISO 27001, SOC 2, GDPR). For organizations in Switzerland, this means leveraging the power of generative AI while meeting the governance and data protection requirements of the nFADP and sector-specific regulations.
Prompt engineering is the art of crafting precise instructions to obtain relevant and reliable responses from language models. This skill is at the core of the AI-3016 training. You will learn fundamental techniques: structuring prompts with roles and contexts, using the system message, few-shot learning with examples, and managing temperature and other generation parameters. The course also covers advanced techniques for controlling JSON output format, managing multi-turn conversations with history, and reducing hallucinations through grounding strategies. These skills will allow you to build generative AI applications that produce consistent, reproducible, and actionable results in a professional context.
Retrieval-Augmented Generation (RAG) is the most widely used architectural pattern for building generative AI applications connected to enterprise data. Rather than relying solely on the model’s general knowledge, RAG retrieves relevant information from your databases, documents, or knowledge bases and injects it into the prompt context. The result is an AI-generated response grounded in your current, specific data with source citations. The training covers full implementation of the RAG pattern using Azure AI Search as the vector search engine and Azure OpenAI for generation. You will build a working system capable of answering questions based on your own documents.
Enterprise applications of generative AI are rapidly expanding across all sectors. Internal conversational assistants answer employee questions about procedures, HR policies, or technical documentation. Automated content generation accelerates the drafting of reports, summaries, and communications. Analyzing large documents with key information extraction saves legal and compliance teams considerable time. Customer support benefits from personalized responses generated in real time from the knowledge base. DALL-E enables rapid creation of visuals and graphic prototypes. In French-speaking Switzerland, organizations that master these technologies gain a competitive edge in their digital transformation and productivity efforts.
ITTA delivers this training at its Geneva and Lausanne centers, as well as in a virtual classroom. As a Microsoft Learning Partner, ITTA guarantees the official Microsoft content with MOC course materials and access to Azure OpenAI cloud labs. MCT-certified instructors have hands-on experience developing generative AI solutions and share best practices from real-world deployments. The practical labs allow you to work directly with Azure OpenAI APIs, build RAG pipelines, and experiment with prompt engineering in a secure environment.
What are the prerequisites for the AI-3016 training?
Basic programming skills (Python or C#) and familiarity with Azure cloud services are recommended. No prior experience with generative AI is required, but an interest in language models is a plus.
What is the difference between ChatGPT and Azure OpenAI Service?
ChatGPT is a consumer product from OpenAI. Azure OpenAI Service provides access to the same GPT models in a secure Azure cloud environment, with data privacy guarantees, granular access control, and enterprise-grade compliance standards.
What is the RAG pattern covered in the training?
RAG (Retrieval-Augmented Generation) is an architecture that connects GPT models to your enterprise data. The system searches for relevant information in your documents before generating a response, producing factual, contextualized results.
Does the training cover DALL-E for image generation?
Yes, the program includes an introduction to DALL-E via Azure OpenAI Service for generating images from text descriptions. You will learn how to integrate this functionality into an application.
Does this training prepare for a certification?
It prepares for a Microsoft Applied Skill, a practical validation format where you demonstrate your ability to develop a functional generative AI solution with Azure OpenAI Service in a lab environment.
Can I take AI-3016 after AI-900?
Yes, AI-900 provides the conceptual foundations of AI on Azure. AI-3016 specifically deepens the generative AI component with Azure OpenAI. However, programming skills are required for the AI-3016 hands-on labs.
Does data used during the labs remain confidential?
Yes, the Azure OpenAI lab environments are isolated and data processed during the training is not used to train the models. The same privacy guarantees as in production apply.
Monday to Friday
8:30 AM to 6:00 PM
Tel. 058 307 73 00
ITTA
Route des jeunes 35
1227 Carouge, Suisse
Monday to Friday, from 8:30 am to 06:00 pm.
