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Multi-Cloud AI Architect Training Program (Azure & AWS)

A Proven Curriculum to get an AI Engineer Job of ₹42 LPA*
100% Instructor-led Live Sessions
Learn from Microsoft MVPs
Build AI & Gen AI Apps with Azure or AWS Cloud
Integrate GenAI/LLMs (GPT, DeepSeek)
4 Live projects shipped to Azure
Become Microsoft/AWS Certified: AI Engineer
Practice tests to ace AI-102 + interview prep
Dedicated Technical Support
🔥 EMI Options Available*
4.7/5 Rated by 1100+ Learners
Book a FREE Career Growth Session

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 Multi Cloud AI Architect?

Build a Future with Multi Cloud AI Architect Skills and Earn ₹52 LPA+

Master Azure AI Architect 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.
Register For Career Growth Session

Multi Cloud AI Architect Certification Course Curriculum

The Multi-Cloud AI Architect Program is designed to equip learners with in-demand skills across Azure and AWS AI ecosystems, with a strong focus on Generative AI and Agentic AI. The program covers end-to-end AI solution development—from leveraging cloud-native AI services to building, securing, and deploying intelligent applications across multiple clouds.

 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

 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)

Developing AI Solutions using AWS AI

  • Introduction to AI with AWS
  • Understanding Machine Learning
  • Introduction to Deep Learning
  • Types of Machine Learning
  • Gen AI and LLMs
  • AWS AI Services Offering
  • Prepare to develop AI solutions on AWS
  • Create and consume AWS AI services
  • Monitor AWS 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 Rekognition Video
  • Analyze text with Amazon Comprehend
  • Create question-answering solutions
  • Translate text and speech using Amazon Translate
  • Create an AWS Open Search solution
  • Maintain and optimize AWS Open Search solutions
  • Use prebuilt models to analyze common documents
  • Extract data using AWS Document Intelligence

 Amazon Bedrock and LLMs

    • What is AWS Bedrock?
    • Use cases and benefits
    • Accessing AWS Bedrock
    • Connecting compute, data, and other resources
    • Working with AWS Bedrock
    • Connecting to data sources (S3, AWS SQL etc.)
    • Dataset versioning and management
    • Data labeling and preparation
    • Responsible AI considerations in data
    • Models in AWS Bedrock
    • Foundation models vs custom models
    • Using AWS AI models (GPT, DALL·E)
    • Fine-tuning and prompt engineering
    • Uploading and using custom models (HuggingFace, etc.)

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

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
50. Your First Text Generation: Amazon Bedrock
30 min
51. Sentiment Analysis with Amazon Comprehend
30 min
52. Image Recognition with Amazon Rekognition
30 min
53. Speech-to-Text with Amazon Transcribe
30 min
54. Building a Chatbot with Amazon Lex V2
30 min
55. Document Intelligence with Amazon Textract
30 min
56. Advanced Prompt Engineering with Bedrock
30 min
57. AI Image Generation with Amazon Nova Canvas
30 min
58. Build Your Own RAG Chatbot with Bedrock
30 min
59. Multimodal Vision with Claude 3 Haiku
30 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. Introduction to Python
10 questions
7. Variables & Data Types
10 questions
8. Operators in Python
10 questions
9. Conditional Statements & Loops in Python
10 questions
10. Python Functions & Classes
10 questions
11. Dictionaries & Sets in Python
10 questions
12. Python Modules & Files
10 questions
13. Azure Generative AI Overview & Core Concepts
10 questions
14. Introduction to Azure AI Foundry Platform
10 questions
15. Hubs, Projects & Workspaces Architecture
10 questions
16. Azure AI Studio Features
10 questions
17. Identity, Access Control & Responsible AI Essentials
10 questions
18. Introduction to Python
10 questions
19. Variables, Memory Model & Data Types
10 questions
20. Type Casting, id(), type() & Unicode
10 questions
21. Input/Output Operations & Formatting
10 questions
22. Python Operators
10 questions
23. Azure Model Catalog for Gen AI
10 questions
24. Smart Model Selection for Modern AI Workloads
10 questions
25. Deploying Models: Cloud, Edge & Hybrid
10 questions
26. Model Evaluation, Testing, Tuning & Versioning
10 questions
27. Running Local LLMs with Docker & Transformers
10 questions
28. Core Python Libraries for Data Science
10 questions
29. Data Validation and API Tools
10 questions
30. FastAPI & Cloud API Development
10 questions
31. Creating and Consuming Azure AI Services (Language, Vision, Speech, Search)
10 questions
32. Securing AI Services (Authentication, Authorization, Network Security)
10 questions
33. Monitoring and Logging with Application Insights
10 questions
34. Integrating AI Services using CLI, SDKs, and REST APIs
10 questions
35. Cost Management and Governance for AI Projects
10 questions
36. Image Analysis with Prebuilt and Custom Vision Models
10 questions
37. Object and Face Detection in Images
10 questions
38. Optical Character Recognition (OCR) for Text Extraction
10 questions
39. Video Analysis (Real-Time and Batch)
10 questions
40. Deploying Vision Models to Edge Devices
10 questions
41. Introduction to AI
10 questions
42. Core AWS AI Tools and Services
10 questions
43. AWS AI Service Integration and Optimization
10 questions
44. Prompt Engineering Fundamentals
10 questions
45. Advanced Prompting (Layered Techniques)
10 questions
46. Building LLM Workflows with Prompt Flow
10 questions
47. Function Calling, Tools & External APIs
10 questions
48. Error Handling, Guardrails & Quality Controls
10 questions
49. RAG Architecture & Core Principles
10 questions
50. Document Ingestion & Preprocessing
10 questions
51. Embedding Strategies & Models
10 questions
52. Vector Databases (Azure Search, Pinecone, Redis)
10 questions
53. Latency, Ranking & Optimization
10 questions
54. ChatGPT in Testing and Automation
10 questions
55. AI for Code & Testing
10 questions
56. Text Analytics: Sentiment, Key Phrases, Named Entities
10 questions
57. Custom Text Classification and Entity Recognition
10 questions
58. Conversational Language Understanding (CLU)
10 questions
59. Question Answering with Azure AI Language
10 questions
60. Text Translation and Language Detection
10 questions
61. Speech-to-Text and Text-to-Speech Conversion
10 questions
62. Custom Speech Model Training
10 questions
63. Real-Time Captions and Speech Translation
10 questions
64. Voice Synthesis using Custom Neural Voice (CNV)
10 questions
65. Secure and Monitor Speech Services
10 questions
66. Introduction to Amazon Rekognition
10 questions
67. Image & Video Analytics Using Rekognition
10 questions
68. Intelligent Agent Fundamentals
10 questions
69. Microsoft Agent Framework
10 questions
70. Copilot & Agent-Orchestrated Workflows
10 questions
71. Multi-Agent Collaboration Models
10 questions
72. Validation Agents & Error Recovery
10 questions
73. MCP Architecture
10 questions
74. Building MCP Services
10 questions
75. Enterprise Data Integration
10 questions
76. Scaling, Authentication & Secure Context Sharing
10 questions
77. Enterprise NLP Fundamentals
10 questions
78. Core Concepts of Amazon Comprehend
10 questions
79. Text & Language Insights with Amazon Comprehend
10 questions
80. Azure OpenAI Capabilities and Use Cases
10 questions
81. Prompt Engineering and Fine-Tuning GPT Models
10 questions
82. Building Apps with ChatGPT and GPT APIs
10 questions
83. Retrieval Augmented Generation (RAG)
10 questions
84. Image Generation using DALL·E
10 questions
85. Azure AI Search Architecture and Components
10 questions
86. Indexing Structured and Unstructured Data
10 questions
87. AI Enrichment with Cognitive Skills
10 questions
88. Semantic and Vector Search Implementation
10 questions
89. Integration with Azure OpenAI for RAG
10 questions
90. Amazon Textract Fundamentals
10 questions
91. Textract Document Analysis & Extraction
10 questions
92. Responsible AI Policies & Compliance
10 questions
93. Observability, Monitoring & Telemetry
10 questions
94. Amazon Bedrock Essentials
10 questions
95. Kendra Search Service
10 questions
96. Planning Document Intelligence Solutions
10 questions
97. Prebuilt and Custom Document Model Usage
10 questions
98. Training and Testing Models with Sample Forms
10 questions
99. Composing and Chaining Multiple Models
10 questions
100. Large-Scale Document Processing
10 questions
1. Functions in Python
6 min
2. Functions in Python
6 min
3. Functions in Python
6 min
4. Lambda Functions in Python
4 min
5. Lambda Functions in Python
4 min
6. Lambda Functions in Python
4 min
7. Recursion in Python
5 min
8. Recursion in Python
5 min
9. Recursion in Python
5 min
10. Modules and Packages in Python
4 min
11. Modules and Packages in Python
4 min
12. Modules and Packages in Python
4 min
13. Object-Oriented Programming (OOP) with Python
7 min
14. Object-Oriented Programming (OOP) with Python
7 min
15. Object-Oriented Programming (OOP) with Python
7 min
16. Python Strings
6 min
17. Python Tuples
6 min
18. Python Dictionary
3 min
19. Python Sets
5 min
20. Python Lists
5 min
21. Introduction to Python
6 min
22. Introduction to Python
6 min
23. Introduction to Python
6 min
24. Variables & Data Types in Python
5 min
25. Variables & Data Types in Python
5 min
26. Variables & Data Types in Python
5 min
27. Operators in Python
4 min
28. Operators in Python
4 min
29. Operators in Python
4 min
30. Conditional Statements in Python
3 min
31. Conditional Statements in Python
3 min
32. Conditional Statements in Python
3 min
33. Conditional Statements in Python
3 min
34. Loops in Python
2 min
35. Loops in Python
2 min
36. Loops in Python
2 min
37. Loops in Python
2 min
38. Jump Statements in Python
3 min
39. Jump Statements in Python
3 min
40. Jump Statements in Python
3 min
41. Jump Statements in Python
3 min
42. Introduction to AI Workloads and Azure AI Capabilities
7 min
43. Scope and Objectives of the AI-102 Certification
7 min
44. Responsible AI Principles
6 min
45. Azure AI Content Safety
8 min
46. Monitoring AI for Bias and Drift
8 min
47. Creating and Consuming Azure AI Services
5 min
48. Securing AI Services
6 min
49. Monitoring and Logging with Application Insights
8 min
50. Integrating AI Services using CLI, SDKs, and REST APIs
4 min
51. Cost Management and Governance for AI Projects
7 min
52. Image Analysis with Prebuilt and Custom Vision Models
8 min
53. Object and Face Detection in Images
9 min
54. Optical Character Recognition (OCR) for Text Extraction
6 min
55. Video Analysis in Azure AI
7 min
56. Deploying Vision Models to Edge Devices
5 min
57. Text Analytics in Azure AI
8 min
58. Custom Text Classification and Entity Recognition
6 min
59. Conversational Language Understanding (CLU) in Azure AI
6 min
60. Text Translation and Language Detection in Azure AI
6 min
61. Speech-to-Text and Text-to-Speech Conversion in Azure AI
7 min
62. Custom Speech Model Training in Azure AI
9 min
63. Real-Time Captions and Speech Translation in Azure AI
6 min
64. Voice Synthesis using Custom Neural Voice (CNV) in Azure AI
7 min
65. Secure and Monitor Speech Services in Azure AI
5 min
66. Azure OpenAI Capabilities and Use Cases
7 min
67. Prompt Engineering and Fine-Tuning GPT Models in Azure AI
9 min
68. Retrieval Augmented Generation (RAG) in Azure AI
8 min
69. Image Generation using DALL·E in Azure AI
6 min
70. Azure AI Search Architecture and Components
6 min
71. Semantic and Vector Search Implementation in Azure AI
5 min
72. Prebuilt and Custom Document Model Usage in Azure AI
8 min
73. Introduction to Azure AI Foundry
11 min
74. Adoption of Generative AI Through Azure AI Foundry
8 min
75. Architectural Overview of Azure AI Foundry
7 min
76. Features and Capabilities of Azure AI Studio
8 min
77. Exploring the AI Model Catalog in Azure AI Foundry
8 min
78. Identity and Access Management in Azure AI Foundry
10 min
79. Responsible AI and Compliance Features in Foundry
6 min
80. Observability and Performance Monitoring Tools in Azure AI Foundry
13 min
81. Using the Azure AI Foundry SDK and Command-Line Tools
7 min
82. Automating AI Workflows Using Prompt Flow and Pipelines
8 min
83. Implementing CI/CD Pipelines for AI Model Deployment
13 min
84. Introduction to AWS AI
3 min
85. AWS AI Services
3 min
86. Responsible AI Principles on AWS
4 min
87. Working with ChatGPT
3 min
88. Code Generation & Documentation
4 min
89. Debugging and Optimization via AI Tools
4 min
90. Copilot for Automated Test Generation
3 min
91. Introduction to Amazon Rekognition
5 min
92. Image & Video Intelligence with Amazon Rekognition
6 min
93. Introduction to Amazon Comprehend
4 min
94. Advanced Text Analysis, NLP & Multilingual CLU with AWS AI Services
10 min
95. Introduction to Amazon Textract
6 min
96. Advanced Document Intelligence with Amazon Textract
6 min
97. Introduction to Amazon Bedrock
7 min
98. RAG and Titan Image Generation on AWS Bedrock
10 min
99. Introduction to Amazon Kendra
8 min
100. Introduction to Amazon Kendra
8 min
101. Introduction to Amazon Kendra
8 min
102. Introduction to Amazon Kendra
8 min
103. Introduction to Amazon Kendra
8 min
104. File Handling in Python
4 min
105. File Handling in Python
4 min
106. File Handling in Python
4 min
107. Errors & Exception Handling in Python
9 min
108. Errors & Exception Handling in Python
9 min
109. Errors & Exception Handling in Python
9 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. Python Skill Test
30 questions
  10. Introduction to Azure AI Foundry
15 questions
  11. Azure AI Foundry Architecture and Core Services
15 questions
  12. Azure AI Foundry Data Management and Integration
15 questions
  13. Azure AI Foundry Model Deployment and Monitoring
15 questions
  14. Azure AI Foundry Security, Networking, and Governance
15 questions
  15. Azure AI Foundry Developer Tools and Ecosystem Integration
15 questions
  16. AI Foundations with AWS
15 questions
  17. Productivity with ChatGPT & Copilot
15 questions
  18. AWS Computer Vision with Recognition
15 questions
  19. NLP & Text Intelligence using Amazon Comprehend
15 questions
  20. Document Intelligence using Amazon Textract
15 questions
  21. Gen AI Platform with Amazon Bedrock
15 questions
  22. AI Search with Amazon Kendra
15 questions
DOWNLOAD DETAILED CURRICULUM

Multi Cloud AI Architect 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
Sage Maker
Bedrock
Rekognition
Open Search
Personalize
Textract
Polly
Azure AI Services
Azure AI Foundry
Azure Vision
Azure Search
Azure Face API
Language
Open AI
LLMs
LLama Model
GPT
DeepSeek
Phi Model
AI Agent
Bedrock AgentCore
LangGraph
Microsoft Agent
MCP Server
Interview Prep
Interview Prep

What can you accomplish at the end of training?

Transform Your Career: Become a Multi Cloud AI Architect!

  •  Boost Your Salary – Earn up to ₹50 LPA
  •  Design Scalable AI Solutions with Azure, AWS, Python and AI
  •  Earn Global Azure Certifications (AI-900, AI-102)
  •  Master Cutting-Edge AI Technologies – Python, Azure AI, AWS AI, Gen AI & More
  •  Build Real-world Projects for chatbot, sales forecasting & fraud detection projects
  •  Ace Your Multi Cloud AI and Gen AI Engineer Interviews

🚀 Take the next step to become a job-ready Multi Cloud AI Architect today!

Book Your Demo

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  • Project(s)
  • Skill Tests (22+)
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  • Projects (2+)
  • Hands-on Labs (59+)
  • Q&A Interview (100+)
  • Skill Tests (22+)
  • Quick Notes (109+)

Plus Benefits

Career Coaching - Personalized guidance
Leadership Sessions - Master executive skills
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₹49,999
24 months access to course
100% Money-Back Guarantee
For Business

Corporate Training

  • Expert-led Live Sessions
  • Customized Course Content
  • Flexible Schedule
  • Hands-On Labs
  • Skill Tests
  • Quick Notes
  • Build Real-world Projects
  • Cloud Sandbox
50% OFF - Limited Time
₹109,998
₹54,999
24 months access to course
*Exclusively for corporate — minimum 5 users
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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

17+ Years of Industry Experience as Mentor & Solution Architect
Expert in .NET, Angular, React & Python
Azure Cloud & AI/ML/Gen AI 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

16+ Years of Industry Experience as .NET Mentor & Tech Lead
Mastery in .NET Development Practices
Lifelong Innovator & Team Inspirer
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Frequently Asked Questions

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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