Azure AI & Gen AI Engineer Certification Training Program
A Proven Curriculum to get AI Engineer Job of ₹32 LPA*
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Earn Globally Recognized Certificates
Microsoft Certified Azure AI Engineer Associate: AI-102
The Azure AI Engineer Associate certification verifies that individuals have the skills to create, manage, and deploy AI solutions using Azure Cognitive Services, Cognitive Search, and Microsoft Bot Framework. Attaining this qualification will help them enjoy proliferated careers in the AI domain.
- Earn Microsoft Certified: Azure AI Engineer Associate Certificate
- Get access to practice tests to ace the AI-102 exam
- Earn course completion certificate from ScholarHat
Why Become Azure AI and Gen AI Engineer?
Build a Future with Azure AI & Gen AI Skills and Earn ₹32 LPA+
Master Azure AI and Gen AI technologies to drive innovation in artificial intelligence. Learn to build, deploy, and scale AI solutions in real-world projects—empowering you with skills for the next-generation tech landscape.
~1st
Cloud Provider
Microsoft Azure – No.1 Public Cloud
Trusted by enterprises globally, Azure provides robust AI and ML services, powering solutions for businesses of all sizes.
~3M
Websites
Azure Powers ~3 million Websites
From startups to Fortune 500 companies, millions of websites and applications are built and managed using Azure’s AI-powered services.
~200+
Services
200+ Azure AI/ML Services
Explore a vast ecosystem of AI tools including cognitive services, language understanding, computer vision, and data analytics.
~2.5M+
Opportunities
2.5M+ AI Job Opportunities
The demand for AI/ML engineers is soaring with millions of roles available globally across industries like healthcare, finance, and more.
~32 LPA
Salary
Earn ₹32 LPA+
Azure AI/ML engineers are among the highest-paid professionals, with lucrative salaries reflecting their expertise and impact.
~47.5%
Market Growth
AI/ML Market Growing 47.5%
The AI and ML industry is expanding rapidly, with a projected growth rate of over 47% as organizations adopt advanced technologies.
Azure AI and Gen AI Engineer Certification Course Curriculum
The Azure AI and Gen AI Engineer Program is designed to cover essential areas, including mastering Python, Machine Learning, and Azure AI and Generative AI. Participants will gain expertise in implementing workloads and security within the Azure framework, skillfully creating and deploying applications in Azure, and ensuring robust data security. This curriculum provides a comprehensive and hands-on understanding of Azure, preparing you to excel as a proficient Azure AI and GenAI Engineer.
Python Foundations for AI
- Introduction to Python
- Variables and Data Types
- Operators
- Conditional Statements and Loops
- Functions & Classes
- Dictionaries and Sets
- Modules, Files
- Pandas
- Numpy
- Matplotlib
- Pydantic
- Uv Package manager
- Fast API
- Building REST API
- Database operations
Developing AI Solutions using Azure AI (AI-102)
- Introduction to AI with Azure
- Understanding Machine Learning
- Introduction to Deep Learning
- Types of Machine Learning
- Gen AI and LLMs
- Azure AI Services Offering
- Prepare to develop AI solutions on Azure
- Create and consume Azure AI services
- Monitor Azure AI services
- Analyze images using pre-trained models
- Classify images with custom models
- Detect and analyze faces
- Perform OCR on text in images
- Analyze videos using Azure Video Indexer
- Analyze text with Azure AI Language
- Create question-answering solutions
- Translate text and speech using Azure AI Translator
- Create an Azure AI Search solution
- Maintain and optimize Azure AI Search solutions
- Use prebuilt models to analyze common documents
- Extract data using Azure Document Intelligence
OpenAI and GenAI Tools
- Generative AI Fundamentals
- Generative AI vs. Traditional AI
- Large Language Models (LLMs)
- Prompt Engineering
- Introduction to Azure OpenAI Service
- Build NLP solutions.
- Apply prompt engineering.
- Generate code and images.
- Implement Retrieval-Augmented Generation (RAG).
- Understanding OpenAI and ChatGPT
- How ChatGPT Works?
- Coding with ChatGPT
- Generating, optimizing, and debugging code
- Generating documentation and code explainability
- Translation among different programming languages
- What is GitHub Copilot?
- Setting up GitHub Copilot
- GitHub Copilot Basics and Features
- Debugging and optimization tips
- Testing and Debugging with GitHub Copilot
Azure Foundry and LLMs
- What is Azure AI Foundry?
- Use cases and benefits
- Accessing Azure AI Foundry
- Connecting compute, data, and other resources
- Working with Azure Foundry
- Connecting to data sources (Blob Storage, Azure SQL etc.)
- Dataset versioning and management
- Data labeling and preparation
- Responsible AI considerations in data
- Models in Azure Foundry
- Foundation models vs custom models
- Using Azure OpenAI models (GPT, DALL·E)
- Fine-tuning and prompt engineering
- Uploading and using custom models (HuggingFace, etc.)
- Experimentation & Evaluation
- Building and running training pipelines (SDK + UI)
- Hyperparameter tuning and metrics tracking
- Evaluation & Responsible AI Tools
- Model evaluation and bias detection
- Compliance and audit features in Foundry
- Deploying models with managed endpoints
- Secure API access and authentication
- Scaling and monitoring deployments
- Integrations & Workflows
- Integrating with Teams, Power BI
- Using Foundry APIs and SDKs (Python + REST)
Multi Agents and MCP Servers
- Agents 101: Roles, collaboration models, and 2025 trends
- Orchestration: LangGraph or Semantic Kernel
- Error Handling: Recovery flows and validation agents
- Build a multi agent workflow
- MCP Architecture: Servers, clients, and communication patterns
- Enterprise Data Integration: SQL Server, Blob Storage, Cosmos DB or SharePoint
- Security & Performance: Authentication, caching, and scaling MCP services
- MCP-enabled workflow with enterprise system integration
Career Coaching Interview Prep
- Personalized Career Coaching
- Physical & Mental Fitness
- Secrets of Time Management
- Success Habits
- Secrets of Productivity
- Build projects portfolio on GitHub
- Make your Projects Live
- Draft your Resume
- Make Profile on Job Portals
- Art of unlocking opportunities
- Prepare Yourself for interview
- How to answer tough questions
- Learn How to Face your tech interview
- Mock Interviews to build confidence
- Get Feedback of your Mock interviews
1. Azure AI: Exploring Form Recognition
30 min
2. Azure AI: Use an Azure AI Services Container
45 min
3. Azure AI: Read Text in Images
1 hr
4. Azure AI: Ubuntu Data Science VM ARM Template
45 min
5. Azure AI: Deploy AI Search using Bicep
30 min
6. Azure AI: Translate Text with Azure AI Translator
45 min
7. Azure AI: AI Sensor Data Preprocessing using NumPy
30 min
8. Azure AI: Validate AI Configuration Input using Pydantic
30 min
9. Azure AI: Analyze Azure AI Service Logs with Pandas
30 min
10. Azure AI: Recognize and Synthesize Speech
45 min
11. Azure AI: Building Azure AI Health Bot using Azure CLI
30 min
12. Azure AI: Deploy AI Search using an ARM Template
30 min
13. Azure AI: Text Analysis with Azure AI Content Safety
45 min
14. Azure AI: Image Analysis with Azure AI Content Safety
45 min
15. Azure AI: Explore Computer Vision
30 min
16. Azure AI: Create a Knowledge Store with Azure AI Search
1 hr
17. Azure AI: Multilingual Speech Translation
45 min
18. Azure AI: Pandas with Azure Text Analytics Results
30 min
19. Azure AI: Exploring Face Detection
45 min
20. Azure AI: Create a FastAPI Service for AI Translation
30 min
21. Azure AI: FastAPI Service for NumPy Model Predictions
30 min
22. Azure AI: Validate Input Text & Metadata with Pydantic
30 min
23. Azure AI: Exploring Optical Character Recognition
45 min
24. Azure AI: Preprocess Data & Send to Azure AI
30 min
25. Azure AI: Extract Data from Forms
1 hr
26. Azure AI: Translate Speech using Azure AI Speech Service
1 hr
27. Azure AI: Pydantic JSON Schema for Azure AI Settings
30 min
28. Azure AI: AI Image Captioning API with FastAPI
30 min
29. Azure AI: Detect and Analyze Faces
1 hr
30. Azure AI Foundry: Generative AI Fundamentals with Azure OpenAI
30 min
31. Azure AI Foundry: Exploring and Comparing Different LLMs
45 min
32. Azure AI Foundry: Responsible AI with Azure OpenAI
35 min
33. Azure AI Foundry: Prompting with Azure AI
30 min
34. Azure AI Foundry: Building Layered AI Prompts
45 min
35. Azure AI Foundry: Building Chat Applications
45 min
36. Azure AI Foundry: Generate Images with Azure DALL·E in Python
50 min
37. Azure AI Foundry: Text Generation Apps
30 min
38. Azure AI Foundry: Mini Search Engine with Azure AI & Python
45 min
39. Azure AI Foundry: AI Weather App with Function Calling
50 min
40. Azure AI Foundry: AI Chat App with Azure OpenAI & Flask
30 min
41. Azure AI Foundry: Conversational App with Flask & OpenAI
40 min
42. Azure AI Foundry: Generative AI Application Lifecycle
50 min
43. Azure AI Foundry: RAG AI Chat App with Azure & Flask
45 min
44. Azure AI Foundry: AI Policy Reviewer with Flask & Azure
50 min
45. Azure AI Foundry: AI Policy Reviewer with Azure Agents
55 min
46. Azure AI Foundry: SLM App with Azure OpenAI & Flask
40 min
47. Azure AI Foundry: Fine-Tuned AI Assistant with Azure & Flask
45 min
48. Azure AI Foundry: Low-Code AI App with Azure & Flask
40 min
49. Azure AI Foundry: LLaMA Chat App with Hugging Face & Flask
50 min
1. Introduction to AI Workloads and Azure AI Capabilities
10 questions
2. Scope and Objectives of the AI-102 Certification
10 questions
3. Responsible AI Principles: Fairness, Safety, Privacy, Accountability
10 questions
4. Azure AI Content Safety and Responsible Usage
10 questions
5. Monitoring AI for Bias and Drift
10 questions
6. Creating and Consuming Azure AI Services (Language, Vision, Speech, Search)
10 questions
7. Securing AI Services (Authentication, Authorization, Network Security)
10 questions
8. Monitoring and Logging with Application Insights
10 questions
9. Integrating AI Services using CLI, SDKs, and REST APIs
10 questions
10. Cost Management and Governance for AI Projects
10 questions
11. Image Analysis with Prebuilt and Custom Vision Models
10 questions
12. Object and Face Detection in Images
10 questions
13. Optical Character Recognition (OCR) for Text Extraction
10 questions
14. Video Analysis (Real-Time and Batch)
10 questions
15. Deploying Vision Models to Edge Devices
10 questions
16. Text Analytics: Sentiment, Key Phrases, Named Entities
10 questions
17. Custom Text Classification and Entity Recognition
10 questions
18. Conversational Language Understanding (CLU)
10 questions
19. Question Answering with Azure AI Language
10 questions
20. Text Translation and Language Detection
10 questions
21. Speech-to-Text and Text-to-Speech Conversion
10 questions
22. Custom Speech Model Training
10 questions
23. Real-Time Captions and Speech Translation
10 questions
24. Voice Synthesis using Custom Neural Voice (CNV)
10 questions
25. Secure and Monitor Speech Services
10 questions
26. Azure OpenAI Capabilities and Use Cases
10 questions
27. Prompt Engineering and Fine-Tuning GPT Models
10 questions
28. Building Apps with ChatGPT and GPT APIs
10 questions
29. Retrieval Augmented Generation (RAG)
10 questions
30. Image Generation using DALL·E
10 questions
31. Azure AI Search Architecture and Components
10 questions
32. Indexing Structured and Unstructured Data
10 questions
33. AI Enrichment with Cognitive Skills
10 questions
34. Semantic and Vector Search Implementation
10 questions
35. Integration with Azure OpenAI for RAG
10 questions
36. Planning Document Intelligence Solutions
10 questions
37. Prebuilt and Custom Document Model Usage
10 questions
38. Training and Testing Models with Sample Forms
10 questions
39. Composing and Chaining Multiple Models
10 questions
40. Large-Scale Document Processing
10 questions
1. Introduction to Azure AI and Responsible AI
15 questions
2. Azure AI Skill Test
30 questions
3. Developing and Managing Azure AI Services
15 questions
4. Computer Vision Solutions with Azure AI Vision
15 questions
5. Natural Language Processing (NLP) with Azure AI Language
15 questions
6. Speech Services with Azure AI
15 questions
7. Generative AI with Azure OpenAI Service
15 questions
8. Knowledge Mining with Azure AI Search
15 questions
9. Introduction to Azure AI Foundry
15 questions
10. Azure AI Foundry Architecture and Core Services
15 questions
11. Azure AI Foundry Data Management and Integration
15 questions
12. Azure AI Foundry Model Deployment and Monitoring
15 questions
13. Azure AI Foundry Security, Networking, and Governance
15 questions
14. Azure AI Foundry Developer Tools and Ecosystem Integration
15 questions
Azure AI and Gen AI Engineer Career Scope
₹32.5 LPA
Avg package
44%
Avg hike
1000+
Tech transitions
Annual Average Salaries
2.5k
2k
1.5k
1k
0k
Min(14L)
Avg(32L)
Max(55L)
Demand
6K+
Jobs Opening
₹30.5 LPA
Avg package
46%
Avg hike
4000+
Tech transitions
Annual Average Salaries
2.5k
2k
1.5k
1k
0k
Min(14L)
Avg(32L)
Max(50L)
Demand
5K+
Jobs Opening
₹29.9 LPA
Avg package
48%
Avg hike
2000+
Tech transitions
Annual Average Salaries
2.5k
2k
1.5k
1k
0k
Min(14L)
Avg(32L)
Max(55L)
Demand
5.5K+
Jobs Opening
₹ 31.9 LPA
Avg package
48%
Avg hike
3000+
Tech transitions
Annual Average Salaries
2.5k
2k
1.5k
1k
0k
Min(14L)
Avg(30L)
Max(50L)
Demand
6.5K+
Jobs Opening
₹32 LPA
Avg package
44%
Avg hike
3000+
Tech transitions
Annual Average Salaries
2.5k
2k
1.5k
1k
0k
Min(14L)
Avg(32L)
Max(55L)
Demand
4.7K+
Jobs Opening
Tools and Technologies Covered
Python
Fast API
Azure AI Services
Azure AI Foundry
Azure Vision
Azure Search
Azure Face API
Language
Open AI
Copilot
LLMs
MCP Server
LLama Model
GPT
DeepSeek
Phi Model
AI Agents
GitHub Copilot
CI/CD
What can you accomplish at the end of training?
Transform Your Career: Become an Azure AI or Gen AI Engineer!
Boost Your Salary – Earn up to ₹50 LPA- Design Scalable AI Solutions with Azure, Python and AI
- Earn Global Azure Certifications (AI-900, AI-102)
- Master Cutting-Edge AI Technologies – Python, Azure AI, Gen AI & More
- Build Real-world Projects for chatbot, sales forecasting & fraud detection projects
- Ace Your Azure AI and Gen AI Engineer Interviews
🚀 Take the next step to become a job-ready Azure AI Engineer today!
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 & Gen AI Engineer Certification Training Program
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Program Highlights
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Unlimited Live Batch AccessLearn Without Limits for 12 Months
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Project-Based TrainingBuilding 4 real-world, industry-grade applications
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50+ Hands-On LabsGain practical experience with real-world scenarios
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100+ Interview Q&AAce your technical interviews in fortune 500 companies
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Azure Sandbox Access4 months of Azure cloud access.
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Dedicated SupportTechnical support to guide you anytime
Trusted by 2,00,000+ Thought Developers, Tech Leads and Architects
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Frequently Asked Questions
Q1. What is the Azure ML Certification Course?
The Azure ML Certification Course is a specialized training program focused on teaching you how to design and implement machine learning solutions using Microsoft Azure. You will learn how to leverage Azure Machine Learning services, build machine learning models, and deploy AI-driven solutions to tackle real-world business problems. This course is ideal for aspiring AI Engineers, Data Scientists, or professionals looking to enhance their machine learning skills within the Azure ecosystem.
Q2. What are the prerequisites for enrolling in the Azure AI/ML Certification Course?
Before enrolling in the Azure AI ML Certification course, it's beneficial to have:
1.) A basic understanding of cloud computing and Azure services.
2.) Familiarity with programming languages like Python and R.
3.) Knowledge of basic machine learning concepts and data science.
While prior experience is helpful, it's not a strict requirement. If you're new to AI/ML, the course will provide you with the foundational knowledge needed to start your journey in Azure machine learning.
Q3. What skills will I gain from the Azure Machine Learning Certification Course?
Upon completing the Azure Machine Learning Certification course, you will:
1.) Understand the core Azure Machine Learning services and how to use them for building models.
2.) Gain hands-on experience in data preprocessing, model training, and evaluation.
3.) Learn to implement AI solutions using Azure Cognitive Services and Azure Databricks.
4.) Master the deployment and monitoring of machine learning models, ensuring they are scalable and reliable in production.
5.) Be equipped to solve real-world machine learning challenges with practical experience in the Azure ecosystem.
Q4. How does the Azure ML Certification Course prepare me for certifications?
The Azure ML Certification course is aligned with the requirements for the Azure AI Engineer Associate certification (exam AI-102). The course provides:
1.) A structured curriculum covering key skills and topics tested in the certification exam.
2.) Real-life case studies and practical exercises to deepen your understanding.
3.) Detailed exam preparation, including practice questions, tips, and insights into the exam format.
By the end of the course, you will be fully prepared to tackle the Azure AI ML certification exam with confidence.
Q5. What career opportunities are available after completing this course?
After completing the Azure Machine Learning Certification, you can pursue roles such as:
1.) Azure AI Engineer
2.) Machine Learning Engineer
3.) Data Scientist
4.) AI Researcher
5.) Azure Solutions Architect
The growing adoption of AI and machine learning across industries means that professionals with Azure ML certification are in high demand. Completing this certification can significantly enhance your career prospects and open doors to lucrative positions at companies like Microsoft, Google, Amazon, Accenture, and more.
Q6. How long does it take to complete the Azure Machine Learning Certification Course?
The duration of the Azure Machine Learning Certification course typically ranges from 4 to 6 weeks, depending on your learning pace. If you opt for a self-paced course, you can complete it in less time by dedicating more hours each week. A structured, instructor-led course may take slightly longer.
1.) On average, the course involves 20 to 30 hours of training content, including theory and hands-on labs.
2.) The time commitment may vary based on the depth of the course and whether you are combining it with other studies or work responsibilities.
By the end of the course, you will have acquired practical skills in Azure Machine Learning, ready to take the certification exam.
Q7. Is this course suitable for beginners in AI and ML?
Yes, the Azure AI/ML Certification Course is suitable for beginners in AI and ML. Although some basic knowledge of cloud computing and programming is helpful, the course provides the foundational knowledge needed to get started in Azure machine learning.
1.) The course starts with introductory topics and gradually progresses to more advanced concepts, ensuring a smooth learning curve.
2.) If you're new to AI and ML, the course offers the perfect opportunity to build a solid understanding of the core concepts and hands-on practice in Azure machine learning.
You’ll learn at your own pace, and by the end of the course, you'll be well-equipped to tackle real-world machine learning challenges.
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 ScholarHat 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
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