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Microsoft Certified: Azure AI Engineer Associate
Exam AI-102: Azure AI Engineer Associate
- Course Description
- Course Outline
- Prerequisite
- Lab Facilities
- Course Benefits
- Job Prospectus
Become a certified Microsoft AI Administrator Associate with ITRoute’s comprehensive AI‑102 training program. This course is designed for professionals looking to master Microsoft Azure AI solutions, including Azure Cognitive Services, Azure OpenAI, knowledge mining, computer vision, natural language processing, and AI integration across enterprise applications. Through a blend of hands‑on labs, real‑world scenarios, and expert‑led instruction, you will learn how to design, build, manage, and deploy AI-powered applications using the latest Microsoft AI tools. ITRoute ensures you gain practical experience across key AI workflows such as model selection, data preparation, solution deployment, responsible AI practices, and scalability within the Azure AI ecosystem. Whether you’re aiming to elevate your career in AI development or preparing for the Microsoft AI‑102 certification exam, this course provides the skills, confidence, and support you need to succeed.
Candidates for this exam have experience with Azure AD and Microsoft 365 technologies including Intune.
The following one exam need to complete to achieve Microsoft AI Engineer Associate.
Exam AI-102
AI-102 Course Outline
- Plan and Manage an Azure AI Solution (15–20%)
- Select appropriate Azure AI services
- Design AI solution architecture
- Manage AI resource costs and optimization
- Implement security, RBAC & compliance
- Monitor and maintain Azure AI solutions
- Implement Decision Support Solutions (10–15%)
- Build decision-making models
- Integrate AI insights into business workflows
- Utilize prediction, classification & recommendation services
- Implement Computer Vision Solutions (15–20%)
- Object detection & image classification
- OCR and document image extraction
- Content moderation and video analysis
- Implement multimodal AI Vision models
- Implement Natural Language Processing Solutions (30–35%)
- Sentiment analysis, entity extraction & summarization
- Build chatbots and conversational applications
- Use Azure OpenAI for text generation and embeddings
- Prompt engineering (zero‑shot, few‑shot, chain of thought)
- Implement Knowledge Mining & Document Intelligence (10–15%)
- Create intelligent search workflows
- Extract data using Document Intelligence
- Build RAG (Retrieval‑Augmented Generation) pipelines
- Index and enrich data using AI Search services
- Implement Generative AI Solutions (10–15%)
- Deploy and fine‑tune GPT, DALL·E, and other models
- Develop using Azure AI Foundry
- Configure system prompts, safety settings & parameters
- Build generative apps, automation flows & AI agents
- Responsible AI, Governance & Security (Cross‑Domain)
- Apply Responsible AI principles
- Use content filters, prompt shields & safety tools
- Implement governance, monitoring & compliance
- Maintain secure AI systems across environments
You should be able to use Representational State Transfer (REST) APIs and SDKs to build secure image processing, video processing, natural language processing, knowledge mining, and generative AI solutions on Azure. You should:
Understand the components that make up the Azure AI portfolio and the available data storage options. Be able to apply responsible AI principles.
Hands on Lab exercise in the class, Additional practice lab after course completion, Lab & other facilities support provided up to 6 months for Full Time Students Up to 3 months for Part Time Students
Instructor-led onsite or online training, Course Material, Study guide, Practice Questions, Final Exam Fees
Job Prospectus After Completing the Microsoft AI-102 Certification
Earning the Microsoft Azure AI Engineer Associate (AI-102) certification opens the door to high-demand roles in the rapidly growing AI and cloud industry. Azure-powered organizations actively seek professionals who can build, deploy, and manage AI solutions using Azure OpenAI, Azure AI Search, AI Foundry, and other Azure AI services.
High-Demand Career Roles
- AI Engineer – Design and deploy computer vision, NLP, generative AI, and intelligent search applications on Azure.
- Azure AI Engineer / Specialist – Build secure, end-to-end AI solutions using Azure AI Foundry, OpenAI, Vision, and Document Intelligence.
- Generative AI Developer – Create GPT-powered chatbots, automation agents, and RAG applications for enterprise use.
- Machine Learning Engineer (Azure) – Develop, integrate, and manage ML models and pipelines in Azure environments.
- AI Solutions Architect (Associate Level) – Support the design of scalable, secure AI architectures that align with business needs.
Industry Outlook & Demand
The need for skilled Azure AI professionals is accelerating, as businesses embed AI into core operations and rely increasingly on Azure OpenAI for secure enterprise generative AI capabilities. Companies using Microsoft's ecosystem actively filter candidates by Azure certifications, making AI-102 one of the most valuable credentials in the 2026 job market.
The IT and AI job market is expected to grow significantly through 2033, ensuring long-term career stability and advancement for certified Azure AI professionals.
Salary Expectations
Azure AI Engineers earn competitive salaries, often averaging $130,000+ annually. Certified professionals typically earn 8–15% more than non-certified peers, with even higher ranges for Generative AI and AI architecture roles.
Why AI-102 Boosts Your Career
- Proves hands-on experience with Azure OpenAI, AI Search, Vision, and Document Intelligence.
- Makes you a strong candidate for enterprise AI and cloud-driven organizations.
- Enhances job interview calls and shortlisting opportunities.
- Aligns with the industry shift toward practical GenAI implementation and governance.
Completing the AI-102 certification positions you at the forefront of Azure-based AI innovation, equipping you with the skills and credibility needed to excel in one of the fastest-growing technology fields.
How to join this course
You can join Sydney Campus onsite or join live training class from Sydney, Melbourne, Brisbane, Canberra, Adelaide, Perth, Darwin and any location where you have reliable internet connections.
- Instructor-Led Classroom Based Training
- Instructor-Led Live Online Training
- Instructor-Led Self-Paced Training
| Onsite Class Schedule: AI-102: Azure AI Engineer Associate | |||||
|---|---|---|---|---|---|
| Intake Type | Time | Duration | Upcoming Course | PRICE | |
| Full Time | Monday - Thursday 10:00am - 4:30pm |
4 Days | 21 Jul - 24 jul 29 Sep - 02 Oct 13 Oct - 16 Oct 12 Jan - 15 Jan 16 FEB - 19 Feb 30 Mar - 02 Apr 11 May - 14 May 22 Jun - 25 Jun |
$1795 +GST | Enquire Now |
| Part Time | Monday & Tuesday 6:00pm - 9:00pm |
4 Weeks | TBA | $1795 +GST | Enquire Now |
| Weekend | Saturday 2:30pm - 6:30pm |
5 Weeks | TBA | $1795 +GST | Enquire Now |
| Online Live Class Schedule: AI-102: Azure AI Engineer Associate | |||||
|---|---|---|---|---|---|
| Intake Type | Time | Duration | Upcoming Course | PRICE | |
| Full Time | Monday - Thursday 10:00am - 4:30pm |
4 Days | 21 Jul - 24 jul 29 Sep - 02 Oct 13 Oct - 16 Oct 12 Jan - 15 Jan 16 FEB - 19 Feb 30 Mar - 02 Apr 11 May - 14 May 22 Jun - 25 Jun |
$1795 +GST | Enquire Now |
| Part Time | Monday & Tuesday 6:00pm - 9:00pm |
4 Weeks | TBA | $1795 +GST | Enquire Now |
| Weekend | Saturday 2:30pm - 6:30pm |
5 Weeks | TBA | $1795 +GST | Enquire Now |
| Self-Paced Training: AI-102: Azure AI Engineer Associate | |||||
|---|---|---|---|---|---|
| Intake Type | Time | Duration | Upcoming Course | PRICE | |
| Self-Paced Training Course | Anytime | Anywhere | Enrol Anytime Training Video Lab Excercise Exam Voucher PDF Course Material Practice Questions |
👉 | Enquire Now |
Certification Success Story
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