Course Overview of Develop AI apps and agents on Azure:

This course is intended for software developers who want to build AI-infused applications by leveraging the capabilities of Microsoft Foundry. It provides a strong foundation for designing intelligent solutions that integrate seamlessly with modern cloud-based AI services. Participants will gain an understanding of how to develop applications that incorporate advanced AI features while ensuring scalability, reliability, and performance in real-world scenarios. 

Topics in this course include developing generative AI applications using large language models, building intelligent AI agents, and creating solutions that integrate knowledge sources and external tools into agentic workflows. Learners will explore how to design applications that can reason, retrieve relevant information, and perform actions effectively, enabling more dynamic and context-aware user experiences. 

Additionally, the course covers multimodal capabilities, allowing developers to work with text, images, and other data types, as well as techniques for understanding and processing complex content. By the end of the course, participants will be equipped to build robust, production-ready AI applications that align with enterprise requirements and deliver meaningful business value. 

After completing AI-103: Develop AI apps and agents on Azure, participants will be able to:

  • Develop and deploy generative AI applications using Azure AI Foundry and large language models
  • Design and implement AI agents with tool usage, memory, and reasoning capabilities
  • Build agentic workflows that integrate external tools and enterprise knowledge sources
  • Implement retrieval-augmented generation (RAG) for context-aware AI solutions
  • Create multimodal AI applications handling text, images, and complex content
  • Utilize Azure SDKs and APIs to build scalable and production-ready AI solutions
  • Manage and orchestrate multi-step AI workflows and agent-based architectures
  • Apply responsible AI practices including safety, evaluation, and performance monitoring
  • Monitor, evaluate, and optimize AI model performance and application behavior
  • Design AI solutions aligned with real-world enterprise use cases and scalability requirements

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Key Features of AI-103: Develop AI apps and agents on Azure

  • Focus on Generative AI Development – Learn how to build AI-powered applications using large language models and modern generative AI capabilities.  

  • AI Agent Development & Agentic Architectures – Design and implement intelligent agents with reasoning, tool usage, and multi-step workflows.  

  • Microsoft Foundry Integration – Gain hands-on experience in building, managing, and deploying AI solutions using Microsoft Foundry.  

  • Knowledge Integration & RAG Capabilities – Build solutions that connect AI models with enterprise data and external tools for contextual intelligence.  

  • Multimodal AI Capabilities – Develop applications that can process and understand multiple data types such as text, images, and complex content.  

  • Production-Ready AI Solution Development – Learn to design scalable, real-world AI applications with monitoring, evaluation, and deployment strategies.  

  • End-to-End AI Application Lifecycle – Cover the full lifecycle—from planning and development to deployment, evaluation, and optimization of AI systems. 

Who should Attend AI-103: Develop AI apps and agents on Azure?

  • Software Engineers & Developers focused on building, managing, and deploying AI solutions using Microsoft Foundry
  • Developers with Python knowledge looking to create AI-powered applications and workflows
  • Professionals experienced with APIs and SDKs for integrating AI capabilities into applications
  • Engineers interested in building agents and generative AI solutions on Azure platforms

Prerequisites of AI-103: Develop AI apps and agents on Azure

  • Basic programming knowledge in Python, including working with functions and libraries
  • Understanding of REST APIs and SDK usage for integrating external services
  • Familiarity with cloud concepts, preferably Microsoft Azure fundamentals
  • Basic knowledge of AI/ML concepts, such as models, training, and inference
  • Understanding of software development practices, including application design and debugging
  • Experience with data handling, such as working with JSON, text, or structured data
  • Exposure to command-line tools or development environments (e.g., VS Code)

    • Why choose CloudThat as your training partner for AI-103?

    • Certified trainers with extensive enterprise AI experience, ensuring practical insights and industry-relevant knowledge delivery 
    • Hands-on labs designed around real-world business scenarios to enhance practical understanding and application skills
    • Industry-focused curriculum aligned with the latest trends in AI, cloud technologies, and enterprise solution development 
    • Continuous support and mentorship throughout the learning journey to ensure clarity, confidence, and skill enhancement 
    • Proven success in Microsoft certifications with strong track record of learner achievement and career advancement 
    • Outcome-driven training approach focused on building job-ready skills and delivering measurable business impact 

    Learning objective of course

    • Develop and deploy generative AI applications using Microsoft Foundry, leveraging large language models for real-world enterprise use cases  
    • Design and implement AI agents with reasoning, tool integration, and multi-step workflows for intelligent and automated decision-making systems  
    • Build agentic AI solutions that integrate enterprise data, APIs, and external tools to enable contextual and dynamic AI applications  
    • Implement retrieval-augmented generation (RAG) patterns to enhance AI responses using domain-specific knowledge and data sources  
    • Develop multimodal AI applications capable of processing text, images, and complex content for richer user interactions  
    • Apply responsible AI practices, including content safety, evaluation metrics, and governance for secure and ethical AI solutions  
    • Build, deploy, and manage production-ready AI solutions with scalability, monitoring, and performance optimization in Azure environments 

    Course Outline of AI-103: Develop AI apps and agents on Azure Download Course Outline

    Certification Details of AI-103: Develop AI apps and agents on Azure

    • This course prepares learners for the Microsoft Certified: Azure AI App and Agent Developer Associate (AI-103) certification, focused on modern generative and agentic AI architectures
    • The certification validates skills in building generative AI applications, multi-step reasoning workflows, and production-ready AI agents using Microsoft Foundry and Azure services
    • Candidates are assessed on their ability to design, develop, and manage AI solutions, including integration of enterprise data, tools, and APIs within agent-based systems
    • The AI-103 certification is aligned with real-world enterprise scenarios, ensuring professionals can implement scalable, secure, and business-ready AI solutions
    • The certification exam is expected to launch in 2026 (beta followed by general availability), reflecting the latest advancements in generative AI and agent-based solution development

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    Course ID: 28186

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    FAQs for AI-103: Develop AI apps and agents on Azure

    AI-103 focuses on building generative AI applications, AI agents, and agentic workflows using Microsoft Foundry and Azure AI services. 

    This course is ideal for software developers with Python and API knowledge who want to build AI-powered applications on Azure platforms.

    Basic understanding of AI/ML concepts is helpful, but strong programming knowledge and familiarity with APIs and cloud concepts are more important.

    You will learn generative AI development, agent design, RAG implementation, multimodal AI, and deploying production-ready AI applications using Azure. 

    The course covers Microsoft Foundry, Azure AI services, large language models, APIs, SDKs, and tools for building and managing AI applications.

    Roles include AI Developer, Azure AI Engineer, ML Engineer, and AI Solutions Architect working on enterprise AI applications.

    Azure AI professionals in India earn approximately ₹8–20 LPA, while experienced roles can reach ₹50 LPA or higher.

    Yes, this course prepares you for the Microsoft Azure AI App and Agent Developer Associate (AI-103) certification exam

    Enquire Now