Microsoft Azure AI Apps and Agents Developer Associate (AI-103) TrainingGenerative AI Certification Training
Build generative AI applications and agents on Azure with Python and Microsoft Foundry, then prepare for the AI-103 exam.
This Course Includes:
Python-based labs
Foundry and agent workflows
Responsible AI and evaluation
Exam preparation
Accredited Trainers
Accredited Curriculum
Confirmed Batches
Passing Assurance
Course Highlights
- Built on Microsoft's study guide (skills measured 16 April 2026)
- Most time on the two heaviest domains: generative and agentic solutions, and planning and managing the solution
- Code and cloud labs, with Azure costs and access stated openly
- Clear separation from AB-731: this is the developer track
Career Outcomes
- Preparation for AI engineer and AI application developer roles on Azure
- Evidence of ability to build, evaluate and deploy generative and agent solutions
- Foundation for RAG, multimodal and information-extraction projects
- Pairs with cloud and DevOps skills for platform roles
What you will learn
About this course
AI-103 is Microsoft's developer-level exam for building AI applications and agents on Azure. It assumes you can already write Python and call APIs; what it tests is whether you can choose the right Foundry services, build and ground generative solutions, orchestrate agents and operate them responsibly.
This course follows Microsoft's published skills measured and uses lab time for the work that only code teaches: wiring a model to data, adding tools to an agent, and evaluating the result.
Microsoft owns the exam, pricing and credential. Azure subscription costs for labs are separate from tuition and are stated for each batch.
Exam at a glance
- Exam: AI-103; 120 minutes; proctored; may include interactive components
- Credential: Microsoft Certified: Azure AI Apps and Agents Developer Associate
- Price reference: Set by the country or region where the exam is proctored. Confirm the price for your country at Pearson VUE before booking.
- Official Microsoft course: AI-103T00-A, a 4-day intermediate course
- Renewal: Microsoft role-based associate credentials renew annually through a free online assessment, subject to current policy
Microsoft facts. Exam price depends on the country or region where the exam is proctored. Always confirm current details with Microsoft before you book.
Learning Path
- 1
Check readiness
Confirm Python, API and cloud familiarity against the prerequisites.
- 2
Plan and manage the solution
Select models and services; configure resources, deployment and monitoring.
- 3
Build generative and agentic solutions
Prompting, grounding, agents, tools and orchestration.
- 4
Add vision, text and extraction
Implement multimodal, language and retrieval capabilities.
- 5
Practise and sit the exam
Scenario practice, then book through Microsoft's exam provider.
The CertScope Advantage
Code-first
Learning is organised around building, not slides.
Mapped to the study guide
Domains and weights follow Microsoft's published skills measured.
Transparent lab costs
Azure consumption and access are stated for each cohort.
Is Microsoft Azure AI Apps and Agents Developer Associate (AI-103) right for you?
This course is for you if…
- Software developers moving into AI application development
- Azure and cloud engineers adding generative AI skills
- Data and ML practitioners building agent solutions
- Technical leads evaluating Foundry
You may want to reconsider if…
- Business leaders who do not write code — see AB-731
- Beginners with no Python or API experience
Course curriculum
Plan and Manage an Azure AI Solution
Choosing the right models and services, then provisioning, securing and monitoring them. Exam domain weight: 25–30%.
4 lessons
Plan and Manage an Azure AI Solution
Choosing the right models and services, then provisioning, securing and monitoring them. Exam domain weight: 25–30%.
4 lessons
- Selecting Foundry services and models
- Planning resources and deployment
- Configuring components and access
- Monitoring and cost awareness
Generative AI and Agentic Solutions
The core build skills: prompts, grounding, customisation, agents, tools and orchestration. Exam domain weight: 30–35%.
5 lessons
Generative AI and Agentic Solutions
The core build skills: prompts, grounding, customisation, agents, tools and orchestration. Exam domain weight: 30–35%.
5 lessons
- Building generative AI applications
- Prompts, model behaviour and customisation
- Building agents and orchestrating workflows
- Connecting agents to tools, data and services
- Safety, responsible AI and evaluation
Computer Vision Solutions
Working with images and video using Azure AI vision capabilities and Foundry tools. Exam domain weight: 10–15%.
3 lessons
Computer Vision Solutions
Working with images and video using Azure AI vision capabilities and Foundry tools. Exam domain weight: 10–15%.
3 lessons
- Image and video analysis workloads
- Vision capabilities in Foundry
- Multimodal inputs to models
Text Analysis Solutions
Extracting meaning from language and speech, including structured output. Exam domain weight: 10–15%.
4 lessons
Text Analysis Solutions
Extracting meaning from language and speech, including structured output. Exam domain weight: 10–15%.
4 lessons
- Entity and topic extraction, summarisation, structured JSON output
- Sentiment, tone and sensitive-content detection
- Translation and domain-specific language
- Speech-to-text, text-to-speech and speech-enabled agents
Information Extraction Solutions
Ingesting, indexing and retrieving content to ground and enrich model responses. Exam domain weight: 10–15%.
5 lessons
Information Extraction Solutions
Ingesting, indexing and retrieving content to ground and enrich model responses. Exam domain weight: 10–15%.
5 lessons
- Retrieval and grounding pipelines
- Document, image, audio and video ingestion
- Semantic, hybrid and vector search
- RAG ingestion, OCR and enrichment
- Document extraction with Content Understanding
Capstone and Exam Preparation
An end-to-end build, then scenario practice against the exam.
4 lessons
Capstone and Exam Preparation
An end-to-end build, then scenario practice against the exam.
4 lessons
- End-to-end build: grounded agent with tools
- Evaluation and iteration
- Scenario-question practice
- Booking and proctoring checklist
Schedules
Weekday Batches
Morning & evening slots to fit around work
Weekend Batches
Intensive Saturday & Sunday programmes
New batches are opening shortly. Leave your details below and our team will reach out with schedule options and registration guidance as soon as they are confirmed.
Request more information
Talk to our course advisors and get personalized guidance on curriculum, pricing, and batch schedules.
- Personalized course guidance
- Flexible payment options
- Group & corporate discounts
- Download course brochure
Prerequisites
- Python development experience
- Familiarity with APIs and SDKs
- Familiarity with AI, generative AI and Azure services