Azure
AI-102: Azure AI Engineer Associate
The intermediate-level certification AI-102: Microsoft Azure AI Engineer Associate attests to your proficiency in designing, implementing, and overseeing AI-driven solutions with Azure services like Cognitive Services, Azure AI Search, and Azure OpenAI. It focuses on using REST APIs, SDKs, and programming languages like Python or C# to create safe, scalable, and responsible AI applications.
5/5(4,890 Reviews)
Level
Intermediate
Duration
8 Weeks
What is AI-102: Azure AI Engineer Associate?
Collaborate with solution architects, data engineers, AI specialists, and developers.
Build, deploy, and maintain end-to-end AI solutions on Azure.
Engage in every lifecycle stage: requirements, design, development, deployment, integration, monitoring, and performance tuning.
Training Plan
About trainer
Working professional who is carrying more then 10 years of industry experience.
Decks
The candidate will get access to the presentation taken-up during the session.
Notes
Consolidated notes in word document.
Assignments
Assignments for every module will be covered.
MCQs
MCQs for every module covered in the session would be provided.
Video Recording
Daily Session would be recorded and shared to the candidate.
Dumps for Certification
We will provide dumps for the certification exam, which will help you to prepare for the exam.
Updated Content
We provide Generative AI Driven content By experts.
Projects
3 Live Projects will be provided for practice.
AI-102: Azure AI Engineer Associate Course Curriculum
.
Introduction to Azure AI Engineer Role
Section 1
Learn the responsibilities of an Azure AI Engineer and understand AI solution workflows on Azure.
AI workloads
Cognitive services
ML vs AI
AI solution lifecycle
.
Developing AI Solutions with Azure Cognitive Services
Section 2
Explore pre-built AI services for vision, language, speech, and decision-making.
Computer vision APIs
Speech services
Text analytics
Personalizer
.
Computer Vision Solutions
Section 3
Build intelligent apps using image classification, object detection, and OCR in Azure.
Custom Vision
Face API
Form Recognizer
OCR & object detection
.
Natural Language Processing (NLP) Solutions
Section 4
Work with text analytics, language understanding, and translation.
Sentiment analysis
Translator
Question answering
Conversational AI
.
Conversational AI with Bots
Section 5
Create, configure, and deploy conversational bots using Azure Bot Service.
Bot Framework
QnA Maker
Azure Bot Service
Power Virtual Agents
.
Speech AI Solutions
Section 6
Integrate speech-to-text, text-to-speech, and translation capabilities into applications.
Speech recognition
Text-to-speech
Speech translation
Custom speech models
.
Knowledge Mining with Azure Cognitive Search
Section 7
Develop knowledge mining solutions to extract insights from structured and unstructured data.
Indexing
Skillsets
Data enrichment
Cognitive search
.
Building Custom Machine Learning Models
Section 8
Learn when and how to create custom ML models instead of using pre-built AI services.
Azure ML Studio
AutoML
Model training
Deployment
.
Responsible AI Practices
Section 9
Understand ethical AI principles and implement responsible AI solutions.
Bias mitigation
Transparency
Fairness
Compliance
.
Exam Preparation & Case Studies
Section 10
Review key concepts, practice with real-world projects, and prepare for the certification exam.
Case studies
Hands-on labs
Mock exams
Best practices
Key Projects
AI-102: Azure AI Engineer Associate
Intelligent Product Image Tagger
Create a system that automatically recognizes brand logos, extracts embedded text (OCR), and tags product images with pertinent categories using Azure Computer Vision and Custom Vision. For improved search and filtering, this can be incorporated into an e-commerce platform.
Multilingual Customer Support Chatbot
Use Azure Bot Service, Conversation Language Understanding, and Azure Translator to build a chatbot. It can identify user intent, respond to customer inquiries in a variety of languages, and retrieve responses from an Azure AI Q&A knowledge base.
AI-Powered Document Search & Summarization
Use Azure AI Search + Document Intelligence to index and extract data from invoices, contracts, and PDFs as part of a knowledge mining solution. Integrate Azure OpenAI to offer question-answering and natural language summaries of the documents.
AI-102: Azure AI Engineer Associate – Associate Training Program
Category
Associate
Exam Name:
AI-102: Azure AI Engineer Associate – Associate
Exam Code:
N.A.
Exam Duration:
N.A.
Exam Format:
N.A.
Passing Score:
N.A.
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Frequently Asked Questions (FAQs)
What is the AI-102: Azure AI Engineer Associate certification?
AI-102 validates skills in designing, developing, and deploying AI solutions using Microsoft Azure. It covers Cognitive Services, Machine Learning, and conversational AI. Techpratham explains that it is ideal for professionals building intelligent cloud applications.
Who should take the AI-102 exam?
This exam is designed for AI engineers, developers, and data scientists working with Azure AI tools. It suits those integrating AI into business apps. Techpratham highlights that it’s best for people with prior knowledge of Python and Azure services.
What skills are measured in AI-102?
The exam covers vision, speech, natural language processing, knowledge mining, and conversational AI. It also includes solution design, deployment, and monitoring. Techpratham notes that strong coding and API integration skills are important.
What are the prerequisites for AI-102?
There are no official prerequisites, but familiarity with Azure AI services and Python programming helps. Knowledge of REST APIs and JSON is also useful. Techpratham suggests completing AI-900 first to build a strong foundation.
How long is the AI-102 certification valid?
The AI-102 certification is valid for one year and can be renewed online. Renewal requires passing a free Microsoft assessment. Techpratham emphasizes that continuous learning is necessary due to fast-evolving AI technologies.
How much does the AI-102 exam cost?
The exam cost is around $165 USD, though pricing varies by country. Discounts are often available for students and institutions. Techpratham advises checking Microsoft’s official certification site for updated pricing.
What is the format of the AI-102 exam?
The exam consists of multiple-choice, case studies, drag-and-drop, and scenario-based labs. It evaluates both theory and practical implementation of AI solutions. Techpratham explains that hands-on practice with Cognitive Services and ML models is essential.
How should I prepare for the AI-102 exam?
Preparation should include Microsoft Learn modules, AI service documentation, and real-world projects. Practicing with Azure Bot Service, Language Studio, and Computer Vision helps a lot. Techpratham recommends blending study materials with lab-based practice.
What job roles can I get after AI-102 certification?
This certification prepares you for roles like Azure AI Engineer, AI Developer, and Solution Architect. It also supports growth in data science and machine learning careers. Techpratham points out that demand for AI-skilled professionals is rising rapidly.
Is AI-102 considered difficult?
The exam is moderately difficult since it requires both coding knowledge and AI service expertise. Candidates with practical Azure AI experience find it easier. Techpratham stresses that consistent lab practice and project work are the keys to success.
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