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Azure AI Cloud Developer Associate Certification Training

29 Lessons
|
40 hours

Azure AI Cloud Developer Associate Course (Exam AI-200) is designed to help you learn how to build, deploy, secure, and monitor enterprise AI applications on Microsoft Azure. This course focuses on practical implementation using Azure AI services, containerized applications, Azure Functions, event-driven architectures, vector data, Azure Cosmos DB, Azure Kubernetes Service (AKS), Azure Key Vault, and Azure Monitor to help you develop production-ready AI cloud solutions and prepare confidently for the Microsoft AI-200 certification exam.

Azure AI Cloud Developer Associate Certification Training
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About Course

The Azure AI Cloud Developer Associate Course (Exam AI-200) prepares you to build, deploy, and maintain production-ready AI applications on Microsoft Azure. You will learn how to develop cloud-native AI solutions using Azure AI services, implement containerized workloads with Azure Container Apps and Azure Kubernetes Service (AKS), and build serverless applications with Azure Functions.

The course also covers vector data management, Azure Cosmos DB for NoSQL, event-driven integration using Azure Service Bus and Event Grid, application security with Microsoft Entra ID and Azure Key Vault, and monitoring with Azure Monitor and Application Insights. Through practical examples and hands-on exercises, you will gain the skills required to develop secure, scalable AI applications and prepare for the Microsoft Certified: Azure AI Cloud Developer Associate (Exam AI-200) certification.

Prerequisites

  • Basic programming knowledge in Python or C#
  • Understanding of Microsoft Azure fundamentals
  • Familiarity with REST APIs
  • Experience with Docker or Kubernetes
  • Knowledge of Azure data services
  • Understanding of event-driven application architecture
  • Basic knowledge of application security concepts
  • Familiarity with Azure SDKs and cloud application development

What Will You Learn

  • Develop AI cloud solutions on Microsoft Azure
  • Build and deploy containerized AI applications
  • Implement Azure AI services and APIs
  • Integrate event-driven applications using Azure messaging services
  • Manage vector data for semantic search and retrieval
  • Work with Azure Cosmos DB for NoSQL in AI applications
  • Secure AI applications using Azure Key Vault and Managed Identities
  • Monitor, troubleshoot, and optimize AI workloads with Azure Monitor and Application Insights

Who Should Do This Course

  • Azure developers
  • AI application developers
  • Cloud application developers
  • Software engineers building AI solutions
  • DevOps engineers working with Azure
  • Solution architects designing AI applications
  • Backend developers using Azure services
  • Professionals preparing for Microsoft Exam AI-200

Tools and Technologies Covered

  • Azure Kubernetes Service (AKS)
  • Azure Container Apps
  • Azure Container Registry (ACR)
  • Azure App Service
  • Azure Functions
  • Azure Cosmos DB for NoSQL
  • Azure Database for PostgreSQL (pgvector)
  • Azure Managed Redis
  • Azure Service Bus
  • Azure Event Grid
  • Microsoft Entra ID
  • Azure Key Vault
  • Azure Monitor
  • Application Insights

Course Curriculum

Course Content

Lesson 1 – Implement Container Application Hosting on Azure

  • Store and Manage Containers in Azure Container Registry
  • Deploy Containers to Azure App Service

Lesson 2 – Deploy and Manage Apps on Azure Container Apps

Lesson 3 – Deploy and Monitor Applications on Azure Kubernetes Service (AKS)

Lesson 4 – Develop AI Solutions with Azure Cosmos DB for NoSQL

Lesson 5 – Develop AI Solutions with Azure Database for PostgreSQL

Lesson 6 – Enhance AI Solutions with Azure Managed Redis

Lesson 7 – Integrate Backend Services for AI Solutions

Lesson 8 – Develop Serverless AI Components

Lesson 9 – Manage Application Secrets and Configuration

Lesson 10 – Observe and Troubleshoot AI Applications

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Self Paced Learning
47,940.00
✓ Refund Policy
  • Duration: 40 hrs
  • 29 Lessons & Practical Labs
  • Lifetime Full Access & Free Upgrades
  • Downloadable Study Materials & Code Labs
  • Recognized Certification of Completion
  • 24x7 Online Support & Learner Forum
One to One Training
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  • 100% Customized Delivery & Curriculum
  • Flexible Schedule as per Learner Convenience
  • Top Tier Industry-Experienced Instructors
  • Tailored Hands-On Project Mentoring
  • Dedicated Interview & Career Guidance
  • 24x7 Dedicated Priority Support

Placement Partners

Hettich
Bechtel
Emirates
Mitsubishi
Indian Navy
Tech Mahindra
AU Small Finance Bank
Capgemini
United Nations
Yash Technologies

Want to know Today's Offer

Azure AI Cloud Developer Associate Certification Training Certification Exam

Upon completing the Azure AI Cloud Developer Associate Certification Training, you will receive a globally recognized certification that validates your expertise in cloud computing, infrastructure management, and cloud-native technologies. This certification is a testament to your practical knowledge, hands-on skills, and professional readiness.

The Cloud certification exam assesses your ability to apply real-world concepts, tools, and techniques learned during the course. Certified professionals are in high demand across industries, opening doors to exciting career opportunities and higher salary potential.

Our certification is recognized by top employers and organizations worldwide. Whether you are looking to advance your current career, switch to a new role, or demonstrate your expertise to clients, this certification gives you the competitive edge you need in today’s fast-paced technology landscape.

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Azure AI Cloud Developer Associate Certification Training

Frequently Asked Questions

The Azure AI Cloud Developer Associate Certification Training is designed to provide comprehensive, in-depth training in Azure AI Cloud Developer Associate. The Azure AI Cloud Developer Associate Course (Exam AI-200) prepares you to build, deploy, and maintain production-ready AI applications on Microsoft Azure. You will learn how to develop cloud-native AI solutions using Azure AI services, implement containerized workloads with Azure Container Apps and Azure Kubernetes Service (AKS), and build serverless applications with Azure Functions. The program covers foundational concepts through to advanced techniques to ensure you gain job-ready expertise.

This course is ideal for beginners, IT enthusiasts, and working professionals who want to build or advance their career in Azure AI Cloud Developer Associate and qualify for developer positions. There are no stringent prerequisites—basic computer proficiency and a willingness to learn are all that is required. Foundational topics are thoroughly covered during onboarding.

The course is delivered through interactive, live online sessions led by industry experts. You will also have 24/7 access to LMS resources, study materials, and session recordings so you can catch up or revise at your convenience if you miss any live classes.

Yes, hands-on learning is a core component of this course. You will work on practical assignments, real-life use cases, and capstone projects using Azure AI Cloud Developer Associate tools and best practices, helping you build a portfolio to showcase to hiring managers.

Upon successfully finishing the course and assignments, you will receive a Certificate of Completion from Kodestree. In addition, our mentors will provide targeted guidance and practice tests to help you clear globally recognized Azure AI Cloud Developer Associate certification exams, accompanied by dedicated placement support including resume review and interview preparation.

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WhatsApp:
+91 7204614489

Email:
admissions@kodestree.com

LEARNER SUCCESS

What Learners Say

Real feedback from professionals who transformed their careers with our training

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The trainers explained concepts through real-world attack scenarios, which I was able to apply on the job right after the course. Structured curriculum and hands-on labs were the best part.

After the CSM training, I can confidently facilitate Sprint ceremonies. The trainer's practical approach and real project examples were extremely helpful.

Agile concepts were explained clearly, especially backlog management and team facilitation. A bit more time would have made it even better, but overall a solid course.

Even as a beginner, I never felt lost — the step-by-step labs and doubt-clearing sessions made switching careers so much easier.

This training gave me more than just a certification — it gave me a Scrum Master mindset. The modules on servant leadership and conflict resolution were the most valuable.

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