{"product_id":"ai-103-develop-ai-apps-and-agents-on-azure","title":"AI-103: Develop AI apps and agents on Azure","description":"\u003cp\u003e\u003cstrong\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003eThe AI-300: Operationalize machine learning and generative AI solutions course replaces the DP-100 course, which will be retired in April 2026.\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003ch2\u003eAI-300 Course: Operationalize machine learning and generative AI solutions\u003c\/h2\u003e\n\u003ch4\u003eCourse Overview\u003c\/h4\u003e\n\u003cp\u003eThe \u003cstrong\u003eAI-300: Operationalize machine learning and generative AI solutions\u003c\/strong\u003e course prepares students to design, implement, and operate Machine Learning Operations (MLOps) and Generative Artificial Intelligence Operations (GenAIOps) solutions on Azure. It covers creating secure and scalable AI infrastructure, managing the complete lifecycle of traditional machine learning models with Azure Machine Learning, and deploying, evaluating, monitoring, and optimizing generative AI applications and agents using \u003cstrong\u003eMicrosoft Foundry\u003c\/strong\u003e.\u003c\/p\u003e\n\u003cp\u003eStudents will gain practical knowledge of automation, continuous integration and delivery, infrastructure as code, and observability using tools like GitHub Actions, Azure CLI, and Bicep.\u003c\/p\u003e\n\u003cp\u003eThe course emphasizes collaboration with data science and DevOps teams to deliver reliable, production-ready AI systems aligned with modern MLOps and GenAIOps best practices.\u003c\/p\u003e\n\u003cdiv class=\"instructions\" style=\"background-color: #f5f5f5; padding: 25px; border-radius: 8px; margin-top: 40px; text-align: left;\"\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003cimg style=\"float: none;\" alt=\"regalo\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0932\/9890\/files\/caja-de-regalo_50x50.png?v=1726661502\"\u003e\u003c\/div\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eVirtual course with certification exam included as a gift. Don't miss this opportunity! The exam is valued at €126 + VAT and is included at no additional cost.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cem\u003ePromotion valid until June 30, 2026. One-attempt exam available only in Virtual - Distance Learning mode. Not applicable to Self-Learning mode.\u003c\/em\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eWhat the official Microsoft course at Nanfor includes\u003c\/h2\u003e\n\u003cp\u003eThe course includes official Microsoft Learn materials, expert tutor presentations, official labs, specialized tutorials, personalized sessions with an expert tutor, certification preparation, and a certificate of completion, combining official content with Nanfor's expert support.\u003c\/p\u003e\n\u003cp\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/nanfor.com\/pages\/componentes-de-los-cursos-de-microsoft\" title=\"Components of official Microsoft courses\"\u003eView all components\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eTraining objectives\u003c\/h2\u003e\n\u003cp\u003eUpon completing the AI-300: Operationalize machine learning and generative AI solutions course, students will be able to:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eDesign and implement production-ready AI solutions in Microsoft Azure.\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eOperate the complete lifecycle of Machine Learning models using MLOps practices.\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eDeploy, evaluate, monitor, and optimize generative AI applications (GenAIOps).\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eAutomate training, deployment, and evaluation processes using CI\/CD.\u003cbr\u003eImplement infrastructure as code and automated workflows with GitHub Actions.\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eMonitor the performance, quality, and traceability of models and AI agents in production environments.\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eCollaborate effectively with Data Science and DevOps teams on enterprise AI projects.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003ePrerequisites\u003c\/h2\u003e\n\u003cp\u003eTo properly benefit from the AI-300 course, students are recommended to have:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003ePrevious experience in Python.\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eFundamental knowledge of Machine Learning.\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eFamiliarity with Microsoft Azure or cloud environments.\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eBasic knowledge of DevOps, such as:\n\u003cul\u003e\n\u003cli\u003eVersion control (Git).\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eCI\/CD pipelines.\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eCommand-line interface (CLI) usage.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eThis course is not introductory and is aimed at technical profiles who already work with or wish to work with AI in production environments.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eNanfor, official Microsoft IT training center\u003c\/h2\u003e\n\u003cp\u003eNanfor is a customized IT training center, specialized in technological training for professionals and companies, and is officially accredited by Microsoft as:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli style=\"font-weight: bold;\"\u003e\u003cstrong\u003eMicrosoft Solutions Partner – Training Services\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli style=\"font-weight: bold;\"\u003e\u003cstrong\u003eMicrosoft Cloud Partner\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eThese accreditations certify that Nanfor complies with Microsoft's official standards for delivering technical training, using official content and Microsoft Certified Trainers (MCTs), ensuring quality, continuous updates, and alignment with official certifications. \u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch4 style=\"text-align: center;\"\u003e\n\u003cspan style=\"color: rgb(128, 128, 128);\"\u003eLevel: Intermediate  -  Product: Azure  -  Role: AI Engineer, Data Scientist\u003c\/span\u003e\u003cspan style=\"color: rgb(128, 128, 128);\"\u003e\u003c\/span\u003e\n\u003c\/h4\u003e\n\u003cdiv style=\"text-align: left;\"\u003e\n\u003cdiv style=\"display: grid; grid-template-columns: repeat(auto-fit, minmax(200px, 1fr)); gap: 15px; margin: 20px 0;\"\u003e\n\u003cdiv style=\"background-color: #f5f5f5; padding: 20px; border-radius: 8px; text-align: center;\"\u003e\n\u003cdiv style=\"font-size: 40px; margin-bottom: 10px;\"\u003e⏱️\u003c\/div\u003e\n\u003cp style=\"margin: 0; font-weight: 500;\"\u003e\u003cstrong\u003eCourse Duration:\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003e100 hours\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background-color: #f5f5f5; padding: 20px; border-radius: 8px; text-align: center;\"\u003e\n\u003cdiv style=\"font-size: 40px; margin-bottom: 10px;\"\u003e💻\u003c\/div\u003e\n\u003cp style=\"margin: 0; font-weight: 500;\"\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003cspan style=\"color: rgb(64, 64, 64); text-decoration: underline;\"\u003e\u003ca style=\"color: rgb(64, 64, 64); text-decoration: underline;\" href=\"https:\/\/nanfor.com\/pages\/modalidad-formativa-virtual\" title=\"Virtual Modality - support always by your side\" rel=\"noopener\" target=\"_blank\"\u003e\u003cstrong\u003eVirtual Modality with support always by your side\u003c\/strong\u003e\u003c\/a\u003e\u003c\/span\u003e\u003c\/span\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"background-color: #f5f5f5; padding: 20px; border-radius: 8px; text-align: center;\"\u003e\n\u003cdiv style=\"font-size: 40px; margin-bottom: 10px;\"\u003e🔑\u003c\/div\u003e\n\u003cp style=\"margin: 0; font-weight: 500;\"\u003e\u003cstrong\u003eAccess to classroom:\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003e3 months\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\na {\n    text-decoration: none;\n    color: #464feb;\n}\ntr th, tr td {\n    border: 1px solid #e6e6e6;\n}\ntr th {\n    background-color: #f5f5f5;\n}\n\u003c\/style\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch3\u003eWho is this course for?\u003c\/h3\u003e\n\u003cp\u003eThis course is designed for \u003cstrong\u003edata scientists, machine learning engineers, and DevOps professionals\u003c\/strong\u003e who want to design and operate production-level artificial intelligence solutions on Azure.\u003c\/p\u003e\n\u003cp\u003eIt is suitable for students with \u003cstrong\u003ePython experience\u003c\/strong\u003e, a fundamental understanding of machine learning concepts, and basic knowledge of DevOps practices such as source control, CI\/CD, and command-line tools, who are preparing to implement MLOps and GenAIOps workflows using native Azure services.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch3\u003eElements of the AI-300 Microsoft Learn collection\u003cbr\u003e\n\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eOperationalizing Machine Learning Models (MLOps) (7 modules)\u003c\/li\u003e\n\u003cli\u003eOperationalizing Generative AI Applications (GenAIOps) (6 modules)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch3\u003eCourse content: Operationalizing machine learning and generative AI solutions - Program\u003cbr\u003e\n\u003c\/h3\u003e\n\u003ch4\u003eUnit 1: Implementing Generative AI and Machine Learning Solutions\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eDesigning a Machine Learning Training Solution\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eExperimenting with Azure Machine Learning\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eOptimizing Model Training in Azure Machine Learning\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003ePerforming Hyperparameter Tuning with Azure Machine Learning\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eLabs\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eCase Study: Designing a Machine Learning Solution\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eCase Study: Designing a Data Ingestion Solution\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eCase Study: Choosing the Model Training Service\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eCase Study: Designing a Model Deployment Solution\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eExercise: Finding the Best Classification Model with Azure Machine Learning\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eExercise: Optimizing Model Training in Azure Machine Learning\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eExercise: Performing Hyperparameter Tuning with a Sweep Job\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003eUnit 2: Implementing Generative AI and Machine Learning Solutions\u003cbr\u003e\n\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eRunning Pipelines in Azure Machine Learning\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003ePlanning and Preparing an MLOps Solution with Azure Machine Learning\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eAutomating Model Training with GitHub Actions\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eDeploying and Monitoring a Model in Azure Machine Learning\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eLabs\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eExercise: Running Pipelines in Azure Machine Learning\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eExercise: Deploying and Monitoring a Model in Azure Machine Learning\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003eUnit 3: Implementing Generative AI and Machine Learning Solutions\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003ePlanning and Preparing a GenAIOps Solution\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eManaging Agent Prompts in Microsoft Foundry with GitHub\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eEvaluating and Optimizing AI Agents through Structured Experiments\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eLabs\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eExercise: Planning and Preparing a GenAIOps Solution\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eExercise: Developing Prompt and Agent Versions\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eExercise: Designing and Optimizing Prompts\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003eUnit 4: Implementing Generative AI and Machine Learning Solutions\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eAutomating AI Evaluations with GitHub Actions and Microsoft Foundry\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eImplementing Observability and Monitoring for Generative AI Workloads\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eOptimizing and Tuning AI Agents for Production\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eLabs\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eExercise: Automated Evaluation with Cloud Evaluators\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eExercise: Monitoring and Tracking the Generative AI Agent\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eExercise: Optimizing AI Agents with Fine-tuning\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch3\u003eLanguage\u003cbr\u003e\n\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eCourse: English \/ Spanish\u003c\/li\u003e\n\u003cli\u003eLabs: English \/ Spanish\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch3\u003eAssociated Microsoft Certification: Machine Learning Operations (MLOps) Engineer Associate\u003c\/h3\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0932\/9890\/files\/microsoft_Associate.webp?v=1712319180\" alt=\"certificacion Associate\" style=\"margin-right: 20px; float: left;\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eMicrosoft Certified: Machine Learning Operations (MLOps) Engineer Associate\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNanfor's AI-300 course prepares you for the official Microsoft Machine Learning Operations (MLOps) Engineer Associate certification.\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003e\u003cstrong\u003eLevel:\u003c\/strong\u003e Intermediate\u003c\/span\u003e\u003cbr\u003e\u003cspan\u003e\u003cstrong\u003eRole:\u003c\/strong\u003e AI Engineer\u003c\/span\u003e\u003cbr\u003e\u003cspan\u003e\u003cstrong\u003eProduct:\u003c\/strong\u003e Azure Machine Learning, Microsoft Foundry\u003cbr\u003e\u003cstrong\u003eSubject: \u003c\/strong\u003eArtificial Intelligence, Machine Learning\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch3\u003e\u003cspan\u003eFrequently Asked Questions\u003c\/span\u003e\u003c\/h3\u003e\n\u003ch4\u003eIs this course suitable for Artificial Intelligence beginners?\u003c\/h4\u003e\n\u003cp\u003eNo. AI-300 is designed for technical profiles with previous experience in machine learning, programming, and Azure. Its focus is on bringing AI solutions to real production environments.\u003c\/p\u003e\n\u003ch4\u003eWhat differentiates this course from other AI courses in Azure?\u003c\/h4\u003e\n\u003cp\u003eThis course focuses on operationalizing AI solutions, applying MLOps and GenAIOps practices, automation, monitoring, and scalability, beyond model training.\u003c\/p\u003e\n\u003ch4\u003eDoes it cover generative AI solutions?\u003c\/h4\u003e\n\u003cp\u003eYes. The course includes the design, deployment, evaluation, and optimization of generative AI applications and agents using tools like Microsoft Foundry.\u003c\/p\u003e\n\u003ch4\u003eWhat tools are used during the course?\u003c\/h4\u003e\n\u003cp\u003eThe course works with key tools from the Microsoft ecosystem, such as:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAzure Machine Learning\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eMicrosoft Foundry\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eGitHub Actions\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eAzure CLI and CI\/CD automation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003eDoes this course prepare for any official Microsoft certification?\u003c\/h4\u003e\n\u003cp\u003eYes. The course content is aligned with the AI-300 exam and the Microsoft Certified: Machine Learning Operations (MLOps) Engineer Associate certification.\u003c\/p\u003e\n\u003ch4\u003e\u003cspan style=\"vertical-align: inherit;\"\u003e\u003cspan style=\"vertical-align: inherit;\"\u003eWhat is the duration and format of the course?\u003c\/span\u003e\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp\u003e\u003cspan style=\"vertical-align: inherit;\"\u003e\u003cspan style=\"vertical-align: inherit;\"\u003eThe training is virtual - distance learning with \u003cstrong\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/nanfor.com\/pages\/modalidad-formativa-virtual\"\u003esupport always by your side\u003c\/a\u003e\u003c\/span\u003e\u003c\/strong\u003e. It takes place in Nanfor's virtual classroom, with 3 months of access and the possibility of extending for one more month (not available for subsidized training).\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan style=\"vertical-align: inherit;\"\u003e\u003cspan style=\"vertical-align: inherit;\"\u003eIn-person or telepresence training can also be arranged upon request.\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Microsoft","offers":[{"title":"Virtual - 100 hrs","offer_id":57290256515404,"sku":null,"price":695.0,"currency_code":"EUR","in_stock":true},{"title":"Subsidized virtual - 110 hours","offer_id":57290256548172,"sku":null,"price":855.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0932\/9890\/files\/Cloud_AI_Platforms.webp?v=1764852462","url":"https:\/\/nanfor.com\/en\/products\/ai-103-develop-ai-apps-and-agents-on-azure","provider":"Nanfor","version":"1.0","type":"link"}