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Azure AI, Gen AI & Agentic AI Engineer Certification Training Program

A Proven Curriculum to get an AI Engineer Job of ₹32 LPA*
4 Months of Intensive Training
Learn from Microsoft MVPs
Build AI Apps & Agents with Azure Cloud
Integrate GenAI/LLMs (GPT, DeepSeek)
4 Live projects shipped to Azure
Become Microsoft Certified: Azure AI Engineer
Practice tests to ace AI-102 + interview prep
Unlimited Live Batch Access For 1 Yr
🔥 EMI Options Available*
4.7/5 Rated by 1100+ Learners
FREE LIVE DEMO

Attend a Free Live Demo — Discover Your Dream Tech Career

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07 Dec 2025 IST
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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

BOOK A FREE DEMO CLASS

Why Become Azure AI, Gen AI or Agentic AI Engineer?

Build a Future with Azure AI, Gen AI & Agentic AI Skills and Earn ₹32 LPA+

Master Azure AI, Gen AI, Agentic 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 Gen AI 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/Gen AI 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/Gen AI engineers is soaring with millions of roles available globally across industries like healthcare, finance, and more.

~32 LPA
Salary

Earn ₹32 LPA+

Azure AI/Gen AI engineers are among the highest-paid professionals, with lucrative salaries reflecting their expertise and impact.

~47.5%
Market Growth

AI/Gen AI Market Growing 47.5%

The AI and Gen AI industry is expanding rapidly, with a projected growth rate of over 47% as organizations adopt advanced technologies.

Build Real-World Projects

Hands on, work experience-based learning is what makes Scholarhat different from others. Build real world projects by applying your coding skills live with your mentors in just 15 weeks. You’ll learn how to start a project from scratch by following recommended architecture, practices and deploy to server.
Sales Forecasting & Prediction
Utilize Azure ML to predict sales trends and demand for various products. By analyzing historical data, seasonality, and economic factors, this project helps businesses in retail or manufacturing plan inventory and production more accurately.
Fraud Detection System
Build a fraud detection system using Azure ML and anomaly detection algorithms. By analyzing transaction patterns and user behavior, the system can flag suspicious activities, providing enhanced security for financial institutions.
Document Processing System (Powered by Azure AI)
Build a scalable AI-powered document processing system that extracts and classifies information from documents (e.g., invoices, resumes) using Azure AI services, such as Azure Document Intelligence. This project should integrate AI models for OCR, text extraction, and data classification.
Customer Support Chatbot (Powered by Open AI)
Build a scalable AI-driven Customer Support Chatbot using Azure OpenAI services and .NET Core. This chatbot will handle common customer inquiries, offer support, and provide real-time solutions by integrating GPT models for natural language understanding and response generation.
BOOK A FREE DEMO CLASS

Azure AI, Gen AI or Agentic AI Engineer Certification Course Curriculum

The Azure AI, Gen AI or Agentic 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, Gen AI and Agentic AI 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 Gen AI 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)

 Agentic AI: Multi Agents & MCP Servers

  • Agents 101: Roles, collaboration models, and 2025 trends
  • Introducing Microsoft Agent Framework
  • Working with Microsoft Agent Framework
  • 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 AI Workloads and Azure AI Capabilities
7 min
2. Scope and Objectives of the AI-102 Certification
7 min
3. Responsible AI Principles
6 min
4. Azure AI Content Safety
8 min
5. Monitoring AI for Bias and Drift
8 min
6. Creating and Consuming Azure AI Services
5 min
7. Securing AI Services
6 min
8. Monitoring and Logging with Application Insights
8 min
9. Integrating AI Services using CLI, SDKs, and REST APIs
4 min
10. Cost Management and Governance for AI Projects
7 min
11. Image Analysis with Prebuilt and Custom Vision Models
8 min
12. Object and Face Detection in Images
9 min
13. Optical Character Recognition (OCR) for Text Extraction
6 min
14. Video Analysis in Azure AI
7 min
15. Deploying Vision Models to Edge Devices
5 min
16. Text Analytics in Azure AI
8 min
17. Custom Text Classification and Entity Recognition
6 min
18. Conversational Language Understanding (CLU) in Azure AI
6 min
19. Text Translation and Language Detection in Azure AI
6 min
20. Speech-to-Text and Text-to-Speech Conversion in Azure AI
7 min
21. Custom Speech Model Training in Azure AI
9 min
22. Real-Time Captions and Speech Translation in Azure AI
6 min
23. Voice Synthesis using Custom Neural Voice (CNV) in Azure AI
7 min
24. Secure and Monitor Speech Services in Azure AI
5 min
25. Azure OpenAI Capabilities and Use Cases
7 min
26. Prompt Engineering and Fine-Tuning GPT Models in Azure AI
9 min
27. Retrieval Augmented Generation (RAG) in Azure AI
8 min
28. Image Generation using DALL·E in Azure AI
6 min
29. Azure AI Search Architecture and Components
6 min
30. Semantic and Vector Search Implementation in Azure AI
5 min
31. Prebuilt and Custom Document Model Usage in Azure AI
8 min
32. Introduction to Azure AI Foundry
11 min
33. Adoption of Generative AI Through Azure AI Foundry
8 min
34. Architectural Overview of Azure AI Foundry
7 min
35. Features and Capabilities of Azure AI Studio
8 min
36. Exploring the AI Model Catalog in Azure AI Foundry
8 min
37. Identity and Access Management in Azure AI Foundry
10 min
38. Responsible AI and Compliance Features in Foundry
6 min
39. Observability and Performance Monitoring Tools in Azure AI Foundry
13 min
40. Using the Azure AI Foundry SDK and Command-Line Tools
7 min
41. Automating AI Workflows Using Prompt Flow and Pipelines
8 min
42. Implementing CI/CD Pipelines for AI Model Deployment
13 min
  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
DOWNLOAD DETAILED CURRICULUM

Azure AI, Gen AI or Agentic 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
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
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
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
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
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 or Agentic 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, Gen AI or Agentic AI Engineer today!

Book Your Demo

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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Processing Fee: ₹999 (One-time)
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🏦 0% Interest Available via Juspay and Jodo

Program Highlights

  • Unlimited Live Batch Access
    Learn Without Limits for 12 Months
  • Project-Based Training
    Building 4 real-world, industry-grade applications
  • 50+ Hands-On Labs
    Gain practical experience with real-world scenarios
  • 100+ Interview Q&A
    Ace your technical interviews in fortune 500 companies
  • Azure Sandbox Access
    Get Azure cloud access to practice labs
  • Dedicated Support
    Technical support to guide you anytime
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100% Money Back Guarantee

5-Day Money-Back Guarantee: Our training programs are empowering thousands with expert knowledge - they will you too. If you're disappointed for whatever reason, you'll get your 100% refund. We won't make you beg or invoke any silly rules or conditions – if you're not satisfied within your first 5 days then we'll refund you without any fuss. For full details, please refer to our Refund Policy.

Course Mentors

Shailendra Chauhan
10X MICROSOFT MVP AI ARCHITECT

Shailendra Chauhan

Microsoft MVP, Founder & CEO at ScholarHat

15+ Years at Microsoft Technologies
Expert in .NET, Angular, React, Node.js
Azure Cloud & AI/ML Specialist
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Pranit Thakur

Pranit Thakur

Technical Consultant and Corporate Trainer

12+ Years Technical & Corporate Training
Expert in React, Angular & Node.js
Passionate Technology Trainer & Mentor
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Rahul Kumar

Rahul Kumar

Author and .NET Tech Lead

Acclaimed .NET Author & Tech Lead
Mastery in .NET Development Practices
Lifelong Innovator & Team Inspirer
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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 ScholarHat 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
Still have some questions? Let's discuss.
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