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Azure AI Engineer Certification Training

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  4.7/5 Ratings     4.7/5Ratings

12 Sessions

  Live Classes

26 Videos

Video Course

31 Notes

Quick Notes

7 Tests

Skill Tests

40 Guides

 Interview Q&A

Azure AI Engineer Certification Training Overview

Azure AI Engineer Certification Training is a specialized program designed to equip professionals with the skills required to build, manage, and deploy artificial intelligence solutions on the Microsoft Azure platform. This training not only covers core concepts related to AI services but also dives into real-world applications, preparing candidates for the AI-102: Designing and Implementing an Azure AI Solution certification exam.

Course Objectives

Participants in this Azure AI course will have the following skills after completing this course:

  1. Hands-on Learning: Build intelligent solutions using Azure Bot Services, and Azure Machine Learning.
  2. Real-world Projects: Work on industry-relevant projects simulating business scenarios.
  3. Exam Preparation: Targeted guidance and mock tests for passing the AI-102 certification exam.
  4. Live Support & Mentorship: Learn from industry experts with community interaction through Discord.
  5. AI-Powered Tools Mastery: Gain expertise in tools like LUIS, Azure ML Studio, and Azure Cognitive Search.
  6. Apply NLP Techniques: Build natural language models with Language Understanding (LUIS).
  7. Career Growth: Acquire in-demand skills to advance as an Azure AI Engineer.

Why Become an Azure AI Engineer in 2025?

    1.) High Demand: The need for Azure AI Engineers is rapidly increasing as businesses adopt AI technologies. Companies are seeking skilled professionals to lead digital transformation through AI solutions.

    2.) Attractive Compensation: Azure AI Engineers enjoy competitive salaries:

    • US: $100,000 - $150,000 per year.
    • India: ?15,00,000 - ?30,00,000 annually.

    3.) Career Growth Opportunities: With Azure AI Engineer Certification, you open the door to various career paths like Machine Learning Engineer, Data Scientist, and AI Solutions Architect in leading companies such as Microsoft, Google, and Amazon.

    4.) Work on Cutting-Edge Technologies: As AI and machine learning evolve, Azure AI Engineers work with the latest tools and technologies to innovate in industries like healthcare, finance, and e-commerce.

    5.) Future-Proof Your Career: AI and machine learning are among the fastest-growing fields, providing long-term job stability and career growth. Becoming an Azure AI Engineer in 2025 ensures you are at the forefront of this technological revolution.


    Why Learn Azure AI?

    Azure AI Engineer Career Scope

    1. Growing Demand: The demand for Azure AI Engineers is soaring as 80% of enterprises are now investing in AI-powered solutions (Gartner, 2024). Companies in finance, healthcare, e-commerce, and manufacturing are adopting Azure AI to enhance decision-making, automate workflows, and improve customer experiences. Microsoft Azure’s 30% market share in cloud AI services ensures consistent job opportunities for skilled professionals.

      2. High-Paying Jobs: Azure AI Engineers are among the top-paid AI professionals globally. The average salary ranges from:

      1. ₹12–18 LPA in India (Glassdoor, 2024)
      2. $110,000–$150,000 per year in the USA (Indeed, 2024)
        Salaries can exceed these ranges with expertise in machine learning, Generative AI, and Azure AI certifications like AI-102.

      3. Diverse Career Paths: An Azure AI Engineer can advance into specialized and high-impact roles such as:

      1. AI Solutions Architect – Designing scalable AI infrastructures
      2. Machine Learning Engineer – Building intelligent ML models
      3. Data Scientist – Analyzing big data for predictive insights
      4. AI Consultant – Guiding AI strategy for global businesses
        With experience, you can specialize in Generative AI, AI Research, or transition into AI Product Management and Leadership roles.

        4. Job Stability and Growth: The AI industry is expected to grow to $407 billion by 2027 (MarketsandMarkets, 2024), making it one of the fastest-growing tech sectors. Microsoft Azure AI’s expanding ecosystem ensures long-term career stability, with roles witnessing a 35% YoY growth in demand.

        Azure AI Engineer Career Scope

        Tools and Technologies Covered

        Python
        Azure Services
        Azure AI
        Azure Search
        Azure Vision
        Open AI
        Copilot
        Azure Bot
        GitHub Copilot
        NLP
        VS Code
        GitHub

        Azure AI Engineer Certification Training Key Features

        • 6 Weeks of Intensive Live Training
        • Learn from Microsoft MVPs
        • Build real-world Projects
        • Career Coaching
        • Resume & Portfolio Building
        • Job Assistance

        Live Classes Schedule

        Our learn-by-building-project method enables you to build practical/coding experience that sticks. 95% of our learners say they have confidence and remember more when they learn by building real world projects.
        Azure AI Engineer Certification TrainingApr 22MON, TUESold Out
        08:30PM to 10:30PM (IST)
        Azure AI Engineer Certification TrainingMay 18SAT, SUN
        Filling Fast
        07:00AM to 09:00AM (IST)

        Can't find convenient schedule? Let us know

        Included in this Azure AI Engineer Certification Training

        •   Live Sessions12 Classes
        •   Video Course 26 Videos
        •   Quick Notes 31 Notes
        •   Skill Tests 7 Tests
        •   Q&A 40 Guides
        Python For AI Development

        Python Foundations

        1. Introduction to Python
        2. Data Structures and Control Flow
        3. Functions, Modules, and Packages
        4. Working with Libraries: NumPy, Pandas
        5. Data Visualization with Matplotlib/Seaborn
        6. Basics of APIs and JSON Handling

        Introduction to AI

        1. Introduction to AI
        2. Understanding Machine Learning
        3. Neural Networks and Deep Learning
        4. Key Concepts: Supervised vs. Unsupervised Learning, Reinforcement Learning
        5. Azure AI Services
        6. Prepare to develop AI solutions on Azure
        7. Create and consume Azure AI services
        8. Monitor Azure AI services
        Azure AI Solution

        Prepare to Develop AI Solutions on Azure

        1. Overview of Azure AI Capabilities
        2. Understanding the AI-102 Exam Objectives
        3. Azure Machine Learning Studio Overview
        4. Azure AI Studio Introduction
        5. Create and Manage Azure AI Resources
        6. Authentication and Authorization with Azure AI Services
        7. Monitoring and Managing Azure AI Services

        Natural Language Processing with Azure

        1. Azure AI Language Services Overview
        2. Text Analytics: Sentiment Analysis, Key Phrase Extraction
        3. Named Entity Recognition (NER)
        4. Language Detection and Translation
        5. Building QnA Solutions with Azure Language
        6. Custom Text Classification and Entity Recognition

        Computer Vision with Azure

        1. Introduction to Azure Computer Vision
        2. Analyze Images Using Pre-Trained Models
        3. Detect and Analyze Faces
        4. Perform OCR on Documents and Images
        5. Image Classification with Custom Vision
        6. Analyze Video with Azure Video Indexer

        Document Intelligence with Azure

        1. Use Prebuilt Models to Analyze Common Documents
        2. Extract Data from Forms and Invoices
        3. Build Custom Models using Azure Document Intelligence
        4. Implement Document Processing Pipelines

        Azure AI Search Solutions

        1. Introduction to Azure AI Search
        2. Create an Azure Cognitive Search Index
        3. Integrate AI Enrichment (OCR, NLP) into Search Pipelines
        4. Maintain and Optimize Azure Search Solutions
        Azure AI with Open AI

        OpenAI and ChatGPT

        1. What is OpenAI?
        2.  An overview of OpenAI model families
        3.  What is ChatGPT?
        4.  How ChatGPT Works?

        Getting Familiar with ChatGPT

        1. Setting up a ChatGPT account
        2. Familiarizing yourself with the UI
        3. Organizing chats

        Understanding Prompt Design

        1. What is a prompt and why is it important?
        2.  Zero-, one-, and few-shot learning – typical of transformers models
        3.  Principles of well-defined prompts to obtain relevant and consistent results
        4.  Avoiding the risk of hidden bias and taking into account ethical considerations in ChatGPT

        Coding with ChatGPT

        1. Why ChatGPT for developers?
        2. Generating, optimizing, and debugging code
        3. Generating documentation and code explainability
        4. Understanding ML model interpretability
        5. Translation among different programming languages

        Conversational AI with Azure Bot Services

        1. Overview of Azure Bot Framework
        2. Build Bots Using Composer and Bot SDK
        3. Integrate Azure Language Services with Bots
        4. Enable Multi-turn Conversations
        5. Integrate Bots with External Channels (Teams, Web Chat)

        Generative AI on Azure (OpenAI)

        1. Introduction to OpenAI on Azure
        2. Setting Up Access to Azure OpenAI Service
        3. Overview of GPT Models and Capabilities
        4. Chat Completions and Instruction Tuning
        5. Use Cases: Summarization, Classification, Code Generation
        6. Integration with Applications (APIs, Logic Apps, etc.)
        Quick Notes Notes (31)

        Introduction to AI Workloads and Azure AI Capabilities

        0:07:00

        Scope and Objectives of the AI-102 Certification

        0:07:30

        Responsible AI Principles

        0:06:00

        Azure AI Content Safety

        0:08:00

        Monitoring AI for Bias and Drift

        0:08:00

        Creating and Consuming Azure AI Services

        0:05:30

        Securing AI Services

        0:06:00

        Monitoring and Logging with Application Insights

        0:08:00

        Integrating AI Services using CLI, SDKs, and REST APIs

        0:04:00

        Cost Management and Governance for AI Projects

        0:07:00

        Image Analysis with Prebuilt and Custom Vision Models

        0:08:00

        Object and Face Detection in Images

        0:09:00

        Optical Character Recognition (OCR) for Text Extraction

        0:06:00

        Video Analysis in Azure AI

        0:07:30

        Deploying Vision Models to Edge Devices

        0:05:00

        Text Analytics in Azure AI

        0:08:00

        Custom Text Classification and Entity Recognition

        0:06:30

        Conversational Language Understanding (CLU) in Azure AI

        0:06:00

        Text Translation and Language Detection in Azure AI

        0:06:00

        Speech-to-Text and Text-to-Speech Conversion in Azure AI

        0:07:30

        Custom Speech Model Training in Azure AI

        0:09:00

        Real-Time Captions and Speech Translation in Azure AI

        0:06:00

        Voice Synthesis using Custom Neural Voice (CNV) in Azure AI

        0:07:30

        Secure and Monitor Speech Services in Azure AI

        0:05:00

        Azure OpenAI Capabilities and Use Cases

        0:07:00

        Prompt Engineering and Fine-Tuning GPT Models in Azure AI

        0:09:30

        Retrieval Augmented Generation (RAG) in Azure AI

        0:08:30

        Image Generation using DALL·E in Azure AI

        0:06:00

        Azure AI Search Architecture and Components

        0:06:00

        Prebuilt and Custom Document Model Usage in Azure AI

        0:08:00

        Semantic and Vector Search Implementation in Azure AI

        0:05:30

        Skill Tests Tests (7)

        Introduction to Azure AI and Responsible AI

        15 Questions

        Developing and Managing Azure AI Services

        15 Questions

        Computer Vision Solutions with Azure AI Vision

        15 Questions

        Natural Language Processing (NLP) with Azure AI Language

        15 Questions

        Speech Services with Azure AI

        15 Questions

        Generative AI with Azure OpenAI Service

        15 Questions

        Knowledge Mining with Azure AI Search

        15 Questions

        Q&A Guides
        Introduction to AI Workloads and Azure AI Capabilities 00:17:00
        Scope and Objectives of the AI-102 Certification 0:20:00
        Responsible AI Principles: Fairness, Safety, Privacy, Accountability 00:18:00
        Azure AI Content Safety and Responsible Usage 00:15:00
        Monitoring AI for Bias and Drift 00:16:00
        Creating and Consuming Azure AI Services (Language, Vision, Speech, Search) 00:17:00
        Securing AI Services (Authentication, Authorization, Network Security) 00:13:00
        Monitoring and Logging with Application Insights 00:19:00
        Integrating AI Services using CLI, SDKs, and REST APIs 00:18:00
        Cost Management and Governance for AI Projects 00:14:00
        Image Analysis with Prebuilt and Custom Vision Models 00:16:00
        Object and Face Detection in Images 0:20:00
        Optical Character Recognition (OCR) for Text Extraction 00:15:00
        Video Analysis (Real-Time and Batch) 00:13:00
        Deploying Vision Models to Edge Devices 00:14:00
        Text Analytics: Sentiment, Key Phrases, Named Entities 00:19:00
        Custom Text Classification and Entity Recognition 00:16:00
        Conversational Language Understanding (CLU) 00:13:00
        Question Answering with Azure AI Language 00:18:00
        Text Translation and Language Detection 0:20:00
        Speech-to-Text and Text-to-Speech Conversion 00:18:00
        Custom Speech Model Training 00:17:00
        Real-Time Captions and Speech Translation 00:19:00
        Voice Synthesis using Custom Neural Voice (CNV) 00:16:00
        Secure and Monitor Speech Services 00:13:00
        Azure OpenAI Capabilities and Use Cases 00:14:00
        Prompt Engineering and Fine-Tuning GPT Models 00:18:00
        Building Apps with ChatGPT and GPT APIs 00:13:00
        Retrieval Augmented Generation (RAG) 00:15:00
        Image Generation using DALL·E 0:20:00
        Azure AI Search Architecture and Components 00:16:00
        Indexing Structured and Unstructured Data 00:14:00
        AI Enrichment with Cognitive Skills 00:19:00
        Semantic and Vector Search Implementation 00:17:00
        Integration with Azure OpenAI for RAG 00:18:00
        Planning Document Intelligence Solutions 00:16:00
        Prebuilt and Custom Document Model Usage 00:15:00
        Training and Testing Models with Sample Forms 0:20:00
        Composing and Chaining Multiple Models 00:14:00
        Large-Scale Document Processing 00:19:00
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        Azure AI Engineer Certification

        Q1. What is the Azure AI Engineer Certification?

        Q2. Who should take the Azure AI Engineer Certification?

        Q3. What are the prerequisites for this certification?

        Q4. How much does the certification exam cost?

        Q5. What are the career benefits of this certification?

        Our Students Reviews

        Frequently Asked Questions

        Q1. How can I prepare for the Azure AI Engineer Certification?

        To prepare for the Azure AI Engineer Certification, you should: 1.) Study Microsoft’s official learning paths and take practice tests. 2.) Master Azure AI services like Cognitive Services and Azure Machine Learning. 3.) Participate in hands-on labs and real-world projects to strengthen practical skills. 4.) Consider enrolling in a training program for structured learning.

        Q2. How long is the certification valid?

        The Azure AI Engineer Certification is valid for two years. After that, you may need to renew it by taking the latest certification exam or completing the necessary training.

        Q3. How long is the exam, and what is the passing score?

        The AI-102 exam lasts for 150 minutes. The passing score is typically 700 out of 1000. However, the exact passing criteria may vary, so it's essential to check the official Microsoft exam page for updates.

        Q4. What job roles can I apply for after earning this certification?

        After earning the certification, you can pursue roles such as: 1.) Azure AI Engineer 2.) Machine Learning Engineer 3.) Data Scientist 4.) AI Solutions Architect 5.) AI Consultant or Cloud Developer specializing in AI solutions.

        Q5. How long does the Azure AI Engineer Certification Training take?

        The Azure AI Engineer Certification Training typically takes 6-8 weeks depending on your learning pace and whether you're taking the course full-time or part-time.

        Q6. Will I get hands-on experience during the training?

        Yes, most training programs offer hands-on labs where you can work on real-world projects and gain practical experience with Azure AI tools and services.

        Q7. What makes this training different from other AI certifications?

        This training focuses specifically on Microsoft Azure AI services, providing practical knowledge of tools like Azure Cognitive Services, Azure Machine Learning, and AI applications. The training also includes a certification exam preparation designed to help you succeed.

        Q8. What career growth can I expect after completing this training?

        After completing the training, you can expect to: 1.) Gain advanced skills in AI, improving job prospects. 2.) Open doors to higher-paying AI roles in top companies. 3.) Expand your career opportunities with a focus on Azure AI technologies and cloud solutions.

        Q9. What should I do after completing this certification?

        After completing the Azure AI Engineer Certification, consider: 1.) Applying for jobs in roles like AI Engineer or Machine Learning Engineer. 2.) Continuing to upskill by pursuing advanced certifications or learning about emerging AI technologies. 3.) Participating in AI communities and networking with industry professionals to stay updated on trends.

        Q1. Can I Attend a Demo Session before Enrolment?

        Yes, you can Attend a Demo Session before Enrolment in angular certification course. It gives you the opportunity to assess whether the training program aligns with your learning objectives. So, don't hesitate! Take advantage of this opportunity and attend a demo session before making your decision.

        Q2. Can I request for a support session if I need to better understand the topics?

        Yes, of course you can request for a support session if you need to better understand the topics. For that, you need to be in touch with the counsellor. Contact on +91- 999 9123 502 or you can mail us at hello@scholarhat.com

        Q3. Who are your mentors?

        All our mentors are highly qualified and experience professionals. All have at least 8-10 yrs of development experience in various technologies and are trained by Dot Net Tricks to deliver interactive training to the participants.

        Q4. What If I miss my online training class?

        All online training classes are recorded. You will get the recorded sessions so that you can watch the online classes when you want. Also, you can join other class to do your missing classes.

        Q5. Can I share my course with someone else?

        In short, no. Check our licensing that you agree to by using Dot Net Tricks LMS. We track this stuff, any abuse of copyright is taken seriously. Thanks for your understanding on this one.

        Q6. Do you provide any course material or live session videos?

        Yes we do. You will get access to the entire content including class videos, mockups, and assignments through LMS.

        Q7. Do you provide training on latest technology version?

        Yes we do. As the technology upgrades we do update our content and provide your training on latest version of that technology.

        Q8. Do you prepare me for the job interview?

        Yes, we do. We will discuss all possible technical interview questions and answers during the training program so that you can prepare yourself for interview.

        Q9. Will I get placement assistance after receiving my course completion certificate?

        Yes, you’ll get placement assistance after receiving your course completion certificate. The placement assistance provided by the US will guide you through the job search process, help you polish your resume, and connect you with potential employers. For that, you need to be in touch with the counsellor. Contact on +91- 999 9123 502 or you can mail us at hello@scholarhat.com

        Still have some questions? Let's discuss.
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