
MICRO DEGREE
Microsoft Azure AI Engineer Associate (AI-200) Certification
Become a Certified Microsoft Azure AI Engineer
100% LIVE Interactive Classes
Become a Certified Microsoft Azure AI Engineer

100% LIVE Interactive Classes
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Application closes on:26 Jul 2026
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100% Live Classes
Instructor-led Live Sessions
Attend 4 weeks of instructor led live classes from the top 1% industry experts
Projects & Case Studies
Projects & Case Studies
Gain hands-on experience with projects and real-world case studies for impactful learning.
Verified Certificate
Verified Certificate
Earn a industry recognized certificate and kick start your career
Session Recordings
Session Recordings
Revisit older chapters anytime with recorded sessions
Flexible Schedule
Flexible Schedule
Choose live classes from different cohorts that fit your availability.
Hands-on Lab Access
Hands-on Lab Access
Students get access to labs to practice their learnings
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Reserve your spot today!
Basic Info
Select Offers
Application closes on:26 Jul 2026
Get instant access of pre-course material!
Talk to Us
We’re here to help! Reach us at:
Learn from Top 1%
Sr. Managers, VPs, CXOs, Directors & Founders from companies shaping the future.

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Available in 4 monthly installments at $155/month
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Curriculum
Duration: 6 weeks
Max Batch Size: 15 persons
Live Sessions Schedule
Sat - Sun (Weekends Only)
Timing 7:00 AM - 9:00 AM / 8:30 AM - 10:30 AM / 11:00 AM - 1:00 PM / 5:00 PM - 7:00 PM / 7:30 PM - 9:30 PM EST
- AI-200 Certification Objectives and Exam Strategy
- Azure AI Services Portfolio Overview
- Azure Resource Groups, AI Resources, and Identity Setup
- Azure AI Studio Environment Configuration
- Hands-on: Provision and Configure Azure AI Resources
- Hands-on: Deploy Your First AI Application on Azure
Mentors

14+ Years, Sr. Tech Lead, Microsoft

Sr. AI Architect, 18+ Years, Ex-Morgan Stanley, Ex-JP Morgan
Course Includes
LIVE Interactive Sessions
Quizzes, Assignments & Projects
Study Materials & Session Recordings
Lab Access
Certificate
Course Includes
LIVE Interactive Sessions
Quizzes, Assignments & Projects
Study Materials & Session Recordings
Lab Access
Certificate
Course Pre-requisites
Basic Python programming
Familiarity with REST APIs
Basic understanding of cloud concepts
No prior Azure AI experience needed
Outcomes
Design and deploy end-to-end Azure AI solutions using Azure OpenAI, Azure AI Search, and Document Intelligence services.
Build production-ready RAG pipelines that ground LLM responses in enterprise data using vector stores and semantic retrieval.
Implement responsible AI controls including content filtering, prompt shielding, and secure authentication for enterprise deployments.
Develop multimodal and speech-enabled AI applications using Azure Computer Vision, OCR, and Speech services.
Monitor, evaluate, and optimize Azure AI workloads using Prompt Flow, performance metrics, and cost management strategies.
Demonstrate exam-ready proficiency in AI-200 scenario-based problem solving to earn the Microsoft Azure AI Engineer Associate certification.
Projects You Will Build
Practical, enterprise-grade projects that reflect real industry challenges
Enterprise RAG Assistant for Internal Knowledge Base
A financial services firm needs employees to query thousands of internal policy documents and reports through a conversational interface. You will build a full RAG pipeline using Azure AI Search for vector and hybrid retrieval, Azure OpenAI for response generation, and document chunking and embedding strategies to index enterprise content. Deliverables include a deployed chat application, retrieval quality evaluation report, and a measurable KPI of answer relevance score above 85% on a test query set.
Automated Invoice and Document Processing Workflow
A logistics company requires automated extraction of structured data from invoices, receipts, and shipping forms to reduce manual data entry by 70%. You will use Azure Document Intelligence prebuilt and custom extraction models, build a classification and processing pipeline, and integrate outputs into a downstream data store. Deliverables include a working automation workflow, labeled custom model, and an accuracy benchmark exceeding 90% field-level extraction precision on a held-out document set.
Voice-Enabled Multimodal Customer Support Agent
A retail enterprise wants a customer support agent that accepts both voice queries and product images to resolve support tickets without human intervention. You will integrate Azure Speech-to-Text, Text-to-Speech, GPT-based multimodal vision capabilities, and conversational language understanding into a single application secured with managed identity and content filtering. Deliverables include a deployed agent endpoint, safety controls implementation report, and a KPI of successful ticket resolution rate above 75% on a simulated test scenario suite.

for successfully completing the 'Microsoft Azure AI Engineer Associate (AI-200) Certification' course conducted from 13 Jun 2026 to 25 Jul 2026
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for successfully completing the 'Microsoft Azure AI Engineer Associate (AI-200) Certification' course conducted from 13 Jun 2026 to 25 Jul 2026

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Frequently Asked Questions
Everything you need to know about the course
No prior Azure AI experience is required; basic Python programming and familiarity with REST APIs are sufficient to get started. The course builds Azure AI knowledge progressively from resource provisioning through advanced RAG and multimodal solutions.
The course covers Azure OpenAI, RAG architecture, Azure AI Search, Document Intelligence, Computer Vision, Speech and Language AI, Responsible AI, monitoring, and full AI-200 exam preparation across 10 chapters. Every chapter is grounded in the official AI-200 certification objectives.
The course runs over 6 weeks with live instructor-led sessions and interactive hands-on labs designed to fit a working professional's schedule. Expect to invest approximately 8–10 hours per week including live classes, labs, and project work.
You will need an active Azure subscription (a free trial works), access to Azure AI Studio, and a Python development environment. All specific service configurations and SDK installations are covered in the first chapter's hands-on labs.
Python is the primary language used across all hands-on labs and projects, particularly for calling Azure AI SDKs and building application logic. No other programming languages are required.
The course prepares you for roles such as Azure AI Engineer, ML Engineer, AI Application Developer, and Cloud Solutions Architect. The AI-200 certification is a recognized credential that validates your ability to design and implement Azure AI solutions professionally.
The Micro Degree course is an online LIVE course, where LIVE sessions will be conducted online on our Classroom platform. Prior to the start of the course, you'll receive preparatory material in the form of recorded content which can be access on the same platform.
In this course instructors will use English language for teaching.
Upon successful registration, you will receive a confirmation email on your registered email ID. In this email you will receive login details for your newly created account on the Edyoda Classroom platform (https://classroom.edyoda.com). Additionally, you will receive a PDF guide containing step-by-step instructions on how to utilize the platform to access live sessions and learning materials.
Our instructors are the industry experts with a minimum working experience of 10 years with a strong technical and teaching background. They bring industry knowledge and practical expertise to the course.
Yes, the course includes online assignments, quizzes, and a final project to reinforce your learning and assess your proficiency in Microsoft Azure AI Engineer Associate (AI-200) Certification.
Yes, you can interact with instructors and fellow students through discussion forums, live Q&A sessions. We encourage a supportive learning community.
Yes, hands-on lab access is available at an additional cost, typically around ₹2,750 (or $30 for international learners) per year. This is the standard rate for most tracks, though specialized labs such as Data and Security may be priced differently. Beyond just practicing what you learn, the labs let you host and showcase your projects live, so you can share your work on social media or present it directly to recruiters as part of your portfolio.
We offer a 100% money-back guarantee to ensure your complete satisfaction. If you're not satisfied, you can request a full refund within 3 days of purchase or before the second session, whichever comes earlier. Simply contact our support team(support@edyoda.com) with your purchase details, such as the order ID or email address, and share your reason for the refund. Requests made after 3 days or after the second session will not be eligible for a refund. There are no hidden charges, you will receive the full amount paid. Refunds are processed within 7–10 business days and credited back to your original payment method.
