---
url: "https://xcademia.com/courses/azure-developer-associate-training"
title: Azure Developer Associate Training
description: "Learn Azure development with this 5-day AZ-204 training. Build APIs, functions, containers, and secure cloud applications."
publishedAt: "2026-03-21T04:12:29.518241+00:00"
updatedAt: "2026-03-30T22:50:53.7265+00:00"
type: course
code: "CLD-0101"
level: Professional
duration_days: "5"
track: Azure Tracks
category: "Cloud & DevOps"
credential_tier: tier1
price_gbp: "2499"
---

# Azure Developer Associate Training

> Develop cloud applications on Microsoft Azure aligned with AZ-204 certification objectives. Learn through hands-on labs covering functions, containers, APIs, security, and monitoring.

## Overview

This Azure Developer Associate Training programme is designed for developers looking to build and deploy cloud-native applications on Microsoft Azure. Aligned with AZ-204 certification objectives, the course provides a practical and structured approach to developing scalable and secure solutions.

Through mentor-led sessions and hands-on labs, learners will build applications using Azure Functions, container services, and API Management. The course also covers authentication, security, monitoring, and performance optimisation to ensure applications are reliable and production-ready.

By the end of this programme, participants will be able to design, develop, and deploy modern cloud applications on Azure. This course prepares learners for cloud development roles and supports progression into advanced cloud architecture and DevOps pathways.

## Prerequisites

- Basic programming knowledge (C#, JavaScript, or Python)
- Understanding of web development concepts
- Familiarity with cloud fundamentals

## What you will learn

- Design and develop cloud-native applications
- Implement secure authentication and APIs
- Analyse application performance and logs
- Evaluate container and serverless solutions
- Integrate Azure services and messaging
- Deploy and manage applications at scale

## Skills you will gain

- Azure Functions and App Services
- API development and management
- Container deployment basics
- Azure storage integration
- Application security and identity
- Monitoring and performance tuning

## Career progression

- Cloud Developer
- Azure Developer
- Software Engineer
- Backend Developer
- Full Stack Developer

## Curriculum

1. **Module 1**
2. **Module 2**
3. **Module 3**
4. **Module 4**

## Exam & certification

This programme is aligned with the official exam objectives. Exam registration and certification are managed directly by the awarding body.

## Delivery options

- **Live Online** — Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- **Onsite Training** — We come to you. Training delivered at your workplace for teams of 6 or more.
- **Venue-Based** — Classroom training at a professional venue. Ideal for focused, immersive learning.
- **Blended** — Combine online and in-person learning for maximum flexibility and impact.

## Frequently asked questions

**Is this course aligned with AZ-204 certification?**

Yes, it is aligned with Microsoft AZ-204 certification objectives.



**Do I need programming experience?**

Yes, basic programming knowledge is recommended.



**Are hands-on labs included?**

Yes, extensive labs are included throughout the course.



**Does this course need an exam?**

No, the exam is optional and can be taken separately.



**What roles can I pursue after this course?**

Roles include Azure Developer, Cloud Developer, and Software Engineer.

## Course at a glance

| Field | Value |
| --- | --- |
| Code | CLD-0101 |
| Duration | 5 days |
| Level | Professional |
| Track | Azure Tracks |
| Category | Cloud & DevOps |
| Credential tier | tier1 |
| Price (GBP) | £2499 |

---

## About this content

This Markdown course profile is the citation-grade twin of [Azure Developer Associate Training](https://xcademia.com/courses/azure-developer-associate-training). It is published by **Xcademia** (UK Companies House 12322710) and is available for AI search engines and large language models to index, summarise, and cite.

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