Microsoft Certified: Azure AI Engineer – AI-102 Training & Certification
Master AI solution design with the AI-102 Microsoft Azure Certification Course. Learn Azure Cognitive Services, OpenAI, NLP, Computer Vision, and more. Ideal for AI engineers and developers.
Duration
Students
Mode
Batch Starts
Course Overview
Master AI Solution Development with Microsoft Azure – AI-102 Certification Course
The AI-102 Microsoft Azure AI Solution Certification Course is a comprehensive program designed to equip learners with the skills to design, implement, and deploy AI solutions using Microsoft Azure. This course covers a wide range of AI capabilities, including Computer Vision, Natural Language Processing (NLP), Generative AI, Conversational AI, and Knowledge Mining. nLearners will explore Azure Cognitive Services, OpenAI, Azure AI Search, and Document Intelligence while working on hands-on labs to gain real-world experience. This course is ideal for software engineers, AI developers, data scientists, and IT professionals preparing for the Microsoft Certified: Azure AI Engineer Associate certification.
Certification
Key Features
Course Curriculum
6 modules • 26 lessons
Skills You'll Master
AI Solution Architecture and Deployment in Azure
Implementing Azure Cognitive Services (Vision, Speech, Language, Search)
Developing Computer Vision & Image Analysis Solutions
Building Natural Language Processing (NLP) & Conversational AI Applications
Using Azure OpenAI & Generative AI for AI Model Deployment
Implementing AI-Powered Search & Knowledge Mining Solutions
Managing AI Security, Compliance, and Responsible AI Practices
Industry Tools & Technologies
Course Highlights
Our curriculum is designed by industry experts to ensure you master the skills that matter most.
Learning Outcomes
Industry-Recognized Certification
Professional Certificate
Earn a prestigious industry-recognized certification upon completion. This credential validates your expertise and can be shared directly on LinkedIn and other professional platforms.
Globally Recognized
Accepted by leading employers worldwide
Digital Verification
Includes QR code and secure verification link
Career Advancement
Proven to increase job opportunities and salary potential
93% of our certified students reported career advancement within 6 months
Enrollment Details
Limited Time Offer - Enrollment closes in 3 days!
Flexible Payment Options
We have partnered with the following financing companies to provide competitive finance options at as low as 0% interest rates with no hidden cost.
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Program Criteria
Our carefully designed selection criteria ensure that you'll get the most out of this transformative learning experience.
Prerequisites
What you need to begin your journey
Familiarity with programming concepts (Python, C#, or JavaScript preferred)
Basic knowledge of REST APIs and web development
Understanding of Azure basics and cloud fundamentals
Experience with JSON and data structures is helpful
No prior AI experience is required, but foundational knowledge is advantageous
Eligibility Criteria
Who this program is designed for
Developers, AI enthusiasts, data engineers, and software engineers looking to integrate AI capabilities into applications
Professionals aiming for roles in AI development, solution architecture, or ML engineering
Suitable for those preparing for Microsoft Azure AI Engineer Associate (AI-102) certification
Ideal for individuals with a basic understanding of Python or any programming language
98%
Completion Rate
24/7
Learning Support
15k+
Students Enrolled
4.9/5
Student Rating
Why Join This Programs?
Discover the unique advantages that make our program the perfect choice for your future
Covers the full suite of Azure AI tools, including Generative AI with OpenAI
Hands-on labs with real-world applications in vision, NLP, search, and document intelligence
Aligns with the AI-102 Azure Certification, opening job opportunities in AI and cloud
Learn to build and secure enterprise-ready AI applications on Azure
Master modern AI practices like prompt engineering, RAG, and custom AI model deployment
Gain skills in AI governance, responsible AI, and security best practices
Frequently Asked Questions
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