Expert-led sessions
Clear explanations from industry experts, with live demonstrations.
Agentic AILive Instructor-Led
Aligned to Microsoft CertificationMicrosoft Certified: Azure AI Apps and Agents Developer Associate (AI-103)
Build, deploy and manage Azure AI apps and agents using Python and Microsoft Foundry. Develop RAG, multimodal solutions and secure, monitored AI workflows for real-world applications.
Live, instructor-led sessions — learn directly with an expert, ask questions and apply concepts in real time.
4 days14 modulesBuild, manage, and deploy AI solutionsLabs Included
2 min
- Planning and managing Azure AI solutions.
- Implementing generative AI and agentic solutions.
Course overview
Build and manage AI apps and agents across Microsoft Azure
Develop practical Azure AI engineering skills
Modern AI applications need more than a model endpoint. Over four instructor-led days, this intermediate course helps software developers and Azure AI engineers explore how to build, manage and deploy AI-powered applications and agents with Python and Microsoft Foundry. It connects model selection and application development with operational requirements such as reliability, cost, security and responsible AI.
Build generative applications and agents
Learn how to choose and deploy models, connect applications through SDKs and APIs, and ground responses in relevant information using retrieval-augmented generation (RAG). Explore tool calling, knowledge integration, conversation state and multi-agent orchestration. Consider how evaluation, tracing and approval controls support safer agent behaviour.
Extend applications beyond text
AI-103 also addresses visual, audio and document workloads. Examine techniques for image and video generation, visual understanding, text analysis, translation, speech recognition and speech synthesis. See how Azure AI Search and Content Understanding support retrieval, structured extraction and multimodal processing, so applications can work with complex business content.
Plan for deployment and ongoing operation
Review how Foundry projects fit into Azure infrastructure, identity and networking controls, CI/CD pipelines and monitoring. Understand practical considerations for scaling workloads, observing latency and safety signals, checking grounding quality and managing costs. Responsible AI runs throughout the course, including content filtering, auditing and human oversight.
Prepare for the AI-103 certification
Training aligns with the Microsoft Azure AI Apps and Agents Developer Associate exam. The focus is applied development knowledge across the full exam scope; additional independent practice and revision may be needed before booking the exam.
A dependable AI solution connects useful models and trusted knowledge with secure engineering, measurable quality and human oversight.
— AIWorkVerse
What you'll learn
Practical capabilities you can apply at work
✓Azure planning: Select Foundry services, models and deployment options.
✓Secure operations: Plan monitoring, identity, guardrails and cost control.
✓Generative apps: Connect Python applications to models and RAG workflows.
✓Agent development: Integrate tools, memory and multi-agent orchestration.
✓Visual AI: Explain image and video generation and multimodal analysis.
✓Language AI: Apply text analysis, translation and speech capabilities.
✓Knowledge pipelines: Configure retrieval, indexing and grounding flows.
✓Document extraction: Use Content Understanding for structured outputs.
What the training day looks like
A focused, engaging and practical learning experience
Real-world examples
Practical business scenarios to illustrate key concepts and applications.
Group discussions
Peer learning and shared ideas to deepen understanding.
Exam preparation
Key takeaways and next steps to help you prepare for the exam.
Curriculum
14 modules. Azure AI Apps and Agents Development
1Choose the appropriate Foundry services for generative AI and agents
2Set up AI solutions in Foundry
3Manage, monitor, and secure AI systems
4Implement responsible AI across generative AI and agentic systems
5Build generative applications by using Foundry
6Build agents by using Foundry
7Optimize and operationalize generative AI systems
8Design and implement image- and video-generation solutions
9Design and implement multimodal understanding workflows
10Implement responsible AI for multimodal content
11Apply language model text analysis
12Implement speech solutions
13Build retrieval and grounding pipelines
14Extract content from documents
Who this is for
Designed for enterprise leaders and practitioners
Azure AI EngineersAI Application DevelopersGenerative AI DevelopersAgentic AI DevelopersCloud AI EngineersSoftware Engineers Working with AzureEnterprise Solution ArchitectsAI Solution ArchitectsSenior Technical ConsultantsApplication Architects and Technical LeadsBusiness Leaders & ExecutivesTransformation & Change LeadersProduct & Innovation ManagersIT & Digital LeadersConsultants & AI Advisors
Certification
Earn your Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103)
Microsoft Certifications are subject to passing the related exam.
Please read the exam guide carefully. Your instructor also will help you with exam related queries.
Exam Fees is included as part of this training.
Instructor
Meet your instructor
Rajiv Goel
Founder and Microsoft Certified Trainer (MCT)
AI transformation and enterprise technology leader with extensive experience in AI adoption, business operations, change management and professional training.
22+ yearsExperience
100+Learners trained
FAQs
Common questions
Who should attend this Microsoft AI-103 development course?
Azure AI engineers and software developers who build and manage applications and agents with Microsoft Foundry.
Which programming and Azure skills are needed before I start?
You should have Python development experience and familiarity with Azure services, APIs and SDKs.
Will I cover retrieval-augmented generation and agent tools?
Yes. The exam scope includes RAG, knowledge integration, tool calling, conversation memory and multi-agent workflows.
Does AI-103 include vision, speech and document processing?
Yes. The syllabus covers visual generation and analysis, text and speech, search, and information extraction.
Will this course teach security, monitoring and responsible AI?
Yes. It addresses identity, networking, tracing, safety filters, auditing, evaluation and operational costs.
Are hands-on labs and an Azure subscription included in the fee?
Yes. Labs are included.
Is the Microsoft certification exam included?
The exam voucher is included only if your selected AIWorkVerse package explicitly states that it is included. Otherwise, you must book and pay for the official exam separately.
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