AI-103 Certification Training Course

The Azure AI Apps and Agents Developer Associate is Microsoft’s current associate credential for AI development, introduced in 2026 to match the shift toward generative AI, agents and Microsoft Foundry. It proves you can do the work employers are hiring for right now: build generative AI applications, design agents that call tools and reason over your own data, add vision, speech and language capabilities, and ship solutions that are secure, governed and production ready. For developers and AI engineers, it is a practical, recognised way to show real building skills rather than theory.

At Logitrain the official AI-103 exam fee is included in the course price, so the exam is not a separate cost, and you keep the digital course material afterwards. Every course carries our price beat guarantee. You can sit the exam at the Logitrain test centre as an authorised Pearson VUE centre, at any other Pearson VUE centre, or online through Pearson VUE proctoring from a private space. Study in person in Melbourne, Sydney and Brisbane, in house at your own premises anywhere in Australia, or live online in real time with a trainer. Logitrain has trained over 15,000 professionals and staff from more than 2,500 Australian organisations since 2004.

There are no formal certification prerequisites for the AI-103 course, so you can enrol without holding another Microsoft certification first. To get the most from it, Microsoft recommends the following.

• Experience with Python application development
• Familiarity with general AI and generative AI concepts
• A working knowledge of core Azure services and the Azure portal
• Comfort using APIs and SDKs to build solutions

If you want to build your programming foundation first, our programming courses and Microsoft Azure courses are a sensible starting point.

Candidates can achieve this certification by passing the following exam.

• AI-103 Developing AI Apps and Agents on Azure

This is the current Azure AI associate developer exam, and it replaced the retired AI-102 exam. You can book and sit it within three months of finishing your course, at the Logitrain test centre, at any other Pearson VUE test centre, or online through Pearson VUE online proctoring from a private space.

Exam format: around 40 to 60 questions, including multiple choice, case studies and interactive items, 120 minutes, with a passing score of 700 on a scale of 100 to 1000. You choose Python for the code based questions.

Your enrolment includes the Logitrain AI-103 course material in digital format, mapped to the current exam objectives so you can revise each area after class. The notes cover planning and managing Azure AI solutions, generative AI and agents in Microsoft Foundry, computer vision, text and speech analysis, and information extraction.

• Plan and design AI solutions using Azure AI services and Microsoft Foundry
• Select, deploy and evaluate foundation models in Microsoft Foundry
• Build generative AI applications with Python and the Foundry SDK
• Apply prompt engineering to improve model output
• Build retrieval augmented generation solutions with Azure AI Search
• Develop AI agents that use tools and external knowledge
• Integrate Model Context Protocol tools into agents
• Orchestrate multi agent solutions with the Microsoft Agent Framework
• Implement computer vision and multimodal solutions
• Build natural language and speech enabled applications
• Extract structured information with Azure Document Intelligence
• Secure, monitor and manage AI solutions in production
• Apply responsible AI principles and governance
• Integrate AI solutions into continuous delivery pipelines

• Software developers building AI powered applications
• AI engineers and machine learning engineers
• Cloud developers and solution developers on Azure
• Application developers adding generative AI and agents to their apps
• Data and platform engineers moving into AI development
• Azure AI engineers transitioning from the retired AI-102 certification
• Professionals preparing for the Microsoft AI-103 certification

Python development experience is recommended, although there are no formal certification prerequisites.

• Plan and prepare to develop AI solutions on Azure
• Choose the appropriate Azure AI and Foundry services for a scenario
• Select, deploy and evaluate models in Microsoft Foundry
• Provision and configure Azure AI resources securely
• Manage, monitor and secure Azure AI services
• Estimate and manage the cost of an Azure AI solution
• Integrate Foundry services into a continuous integration and delivery pipeline
• Apply responsible AI principles and governance
• Develop a generative AI chat application with Microsoft Foundry
• Develop generative AI apps that use tools
• Apply prompt engineering techniques
• Optimise generative AI model performance in Foundry
• Evaluate generative AI output for quality and safety
• Implement a responsible generative AI solution
• Build retrieval augmented generation solutions with Azure AI Search
• Develop AI agents with Microsoft Foundry and Visual Studio Code
• Integrate custom tools into an agent
• Integrate Model Context Protocol tools with Azure AI agents
• Build knowledge enhanced agents with Foundry IQ
• Develop agents with the Microsoft Agent Framework
• Orchestrate a multi agent solution
• Integrate an agent with Microsoft 365
• Develop a vision enabled generative AI application
• Generate images and video with Microsoft Foundry
• Analyse images with Azure Content Understanding
• Build a multimodal analysis solution
• Analyse text with Azure AI Language in Foundry
• Develop a speech capable generative AI application
• Create speech enabled apps with Azure Speech
• Translate text and speech with Foundry tools
• Extract data with Azure Document Intelligence
• Create a knowledge mining solution with Azure AI Search
• Build information extraction pipelines for retrieval augmented generation

• Microsoft Azure certification courses cover the wider Azure range, from fundamentals to administrator and architect level.
• Artificial intelligence courses bring together the AI and machine learning training at Logitrain.
• AI job ready program combines training, certifications, an internship and career counselling for an AI career.
• Developer and programmer job ready program suits those building a broader software development career.
• Microsoft certification courses list the full Microsoft range available at Logitrain.

Got a team to train? Logitrain can deliver the AI-103 course in house at your premises anywhere in Australia, with the same skilled trainer, digital course material, mock tests and included official exam as the public courses. In house delivery suits development and AI teams who want everyone trained together on dates that suit the business, and the content can be tailored to the Azure and Foundry services your organisation uses.

What is the AI-103 certification?

AI-103, Developing AI Apps and Agents on Azure, is the Microsoft exam that leads to the Azure AI Apps and Agents Developer Associate certification. It validates the skills to build, deploy and manage generative AI apps and agents on Azure using Microsoft Foundry.

What happened to AI-102?

Microsoft retired the AI-102 exam and the Azure AI Engineer Associate certification on 30 June 2026. AI-103 is the successor, with a stronger focus on generative AI, agents and Microsoft Foundry. If you were planning AI-102, AI-103 is the current path.

Is the AI-103 exam included in the course?

Yes. The official AI-103 exam fee is included at Logitrain. You can sit the exam at our Pearson VUE test centre or online within three months of finishing the course.

What are the prerequisites for AI-103?

There are no formal certification prerequisites. Microsoft recommends Python development experience, familiarity with general and generative AI concepts, and a working knowledge of core Azure services.

Do I need to know Python for AI-103?

Yes, the course and exam assume you can read and write Python, since you build AI apps and agents with the Foundry SDK and choose Python for the code based exam questions. You do not need to be an expert, but you should be comfortable with the basics.

What does the AI-103 exam involve?

The exam runs for 120 minutes and has around 40 to 60 scenario based questions, including multiple choice, case studies and interactive items. The passing score is 700 on a scale of 100 to 1000, and it is delivered through Pearson VUE.

How long is the AI-103 course?

The course runs over 5 days full time, or 5 weeks part time if you study in the evenings or on weekends. Speak with us about the current schedule.

Where can I do the AI-103 course?

In person at the Melbourne, Sydney and Brisbane centres, in person at a partner venue in other cities on request, in house at your own premises anywhere in Australia, or live online in real time with a trainer.

How much does the AI-103 course cost?

The AI-103 course starts from $2,999 with the official exam fee included, and it carries our price beat guarantee, so we will beat a competitor’s advertised price for the same course.

How long is the certification valid?

Microsoft associate certifications stay current for 12 months. You renew at no cost by passing a short online assessment on Microsoft Learn before the expiry date.