AI-103 - Azure AI Apps and Agents Developer Associate

Descripción

Version 2.0 – Major AI-103 Course Update This course has been significantly updated to help students prepare for both the AI-102 Azure AI Engineer Associate exam and the newer AI-103: Developing AI Apps and Agents on Azure exam. Microsoft has introduced AI-103 as the newer exam path for developers and AI engineers who want to build, manage, and deploy modern AI applications and agentic solutions on Azure. The AI-103 exam focuses on practical skills such as planning Azure AI solutions, implementing generative AI and agentic solutions, working with computer vision, text analysis, and information extraction solutions. What’s new in this course update • Practice quizzes at the end of key sections Reinforce your understanding with targeted questions that help you check your readiness as you move through the course. • Updated videos featuring the latest OpenAI and Azure AI capabilities Several lessons have been refreshed to reflect newer model capabilities, the Responses API, tool usage, and practical development patterns for modern AI applications. • Brand-new AI-103 focused sections The course now includes new content aligned with the AI-103 exam objectives, including Microsoft Foundry, generative AI apps, AI agents, tools, knowledge grounding, retrieval-augmented generation, multimodal AI, and responsible AI solution design. By the end of this course, you should be able to: • Understand the key skills measured in the AI-103 exam • Build AI applications that use Azure AI services • Use generative AI models in real application workflows • Create and configure agents in Microsoft Foundry • Ground AI responses using Azure AI Search and knowledge sources • Connect agents to tools, APIs, and business systems • Work with vision, speech, language, and information extraction services • Understand how to plan, secure, evaluate, and manage Azure AI solutions This course is ideal for developers, cloud engineers, AI engineers, and students who want to prepare for Microsoft Azure AI certification while also gaining practical, job-ready AI development skills. Version 1.1 Below are the updates made to the course Practice Quizzes at the end of every section – reinforce knowledge and test your readiness along the way. Updated videos featuring the latest GPT-5 model – stay ahead with the most current AI advancements. These updates were made to the videos pertaining to Section 2 of the course. Brand-new videos on the Responses API and tools – learn how to apply OpenAI's latest capabilities in real scenarios. These updates are available in Section 2 of the course All-new Project Section (Major Update!) – a complete real-world project where you’ll: • Build and manage knowledge bases • Write code to interact with the knowledge base • Host solutions on Azure which include Azure Functions, Storage accounts and Docker containers • Work extensively with Azure AI Search • And much more… Course Description This project will not only help you review key exam concepts but also give you hands-on experience that mirrors real industry applications—making your learning practical, actionable, and career-ready. Unlock your potential and step confidently into the world of AI with our AI-102: Azure AI Engineer Associate Exam Preparation Course! Whether you’re aiming for the prestigious Microsoft certification or looking to elevate your career by mastering Azure AI, this course gives you the edge you need. This hands-on, beginner-friendly program goes beyond just theory — you’ll learn how to design, build, and deploy real-world AI solutions using Microsoft Azure. From generative AI and computer vision to natural language processing, speech, and knowledge mining, you’ll discover how to harness the full power of Azure AI services to create intelligent, impactful applications. With clear explanations, practical Python coding examples, and guided labs, you’ll gain the confidence to solve real-world challenges while also preparing for exam success. You’ll also learn how to implement responsible AI practices, apply prompt engineering, fine-tune models, and integrate solutions into production environments seamlessly. If you’re a developer, data professional, or an aspiring AI engineer looking to future-proof your skills and showcase your expertise, this course is for you. By the end, you’ll be ready to pass the AI-102 exam — and even more importantly, to build solutions that make a difference. Start your journey today — your future in AI starts here!

Lo que aprenderás

• Prepare for the AI-103: Developing AI Apps and Agents on Azure certification exam with structured lessons, demos, quizzes, and hands-on labs.
• Plan and design Azure AI solutions using Microsoft Foundry, Azure AI services, generative AI models, and responsible AI principles.
• Build generative AI applications using model deployments, prompts, system instructions, parameters, and the Responses API.
• Create and configure AI agents in Microsoft Foundry that use instructions, tools, knowledge sources, and connected business systems.
• Implement retrieval-augmented generation solutions using Azure AI Search, embeddings, vector search, hybrid search, and semantic ranking.
• Develop Python applications that interact with Azure AI services, Microsoft Foundry projects, agents, tools, and OpenAI-based models.
• Work with Azure AI services for vision, speech, language, translation, document intelligence, and content understanding scenarios.
• Evaluate, secure, monitor, and improve AI applications and agents using practical techniques aligned with real-world business requirements.

Requisitos

• Basic familiarity with cloud computing concepts is helpful, but not mandatory.
• A fundamental understanding of programming is recommended, preferably with some experience in Python.
• Access to a Microsoft Azure account is recommended for completing the hands-on labs.
• Basic knowledge of APIs, HTTP requests, and JSON will be useful for some developer-focused labs, but these concepts are explained as needed.
• A willingness to learn how modern AI apps, agents, RAG solutions, and Azure AI services are built in real-world scenarios.