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

A Proven Curriculum to get an AI Engineer Job of ₹52 LPA*
100% Instructor-led Live Sessions
Learn from Microsoft MVPs & AI Architect
Build AI & Gen AI Apps with Azure or AWS Cloud
Build Agents & Integrate GenAI/LLMs
4 Live projects shipped to Azure or AWS
Earn Microsoft & AWS Certifications in AI/GenAI
Practice tests to ace AI-102 + AIP-C01 exams
Dedicated Technical Support
4.7/5
24 Sessions
Live Classes
136 Notes
Quick Notes
179 Q&A
Interview Q&A
136 Labs
Hands-on Labs
48 Tests
Skill Tests
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 AI Architecture across Azure and AWS to design, deploy, and scale enterprise-grade AI and Generative AI solutions—building future-ready skills for global leadership roles.

#1 & #2
Cloud Providers

Azure & AWS – Leading Global Cloud Platforms

Azure and AWS together power the world’s most advanced AI and cloud ecosystems, trusted by enterprises, startups, and governments globally.

10M+
Applications

Azure & AWS Power Millions of Applications

From startups to Fortune 500 companies, millions of web and enterprise applications run on Azure and AWS AI-powered cloud services.

300+
AI Services

300+ AI & GenAI Services

Access a combined ecosystem of Azure AI, Azure OpenAI, Amazon Bedrock, SageMaker, vision, language, and analytics services.

3M+
AI Roles

3M+ Global AI Job Opportunities

Multi-Cloud AI Architects are in massive demand across healthcare, fintech, e-commerce, SaaS, & enterprise.

₹52 LPA+
Salary

High-Paying AI Architect Roles

Multi-Cloud AI Architects command premium compensation due to their ability to design scalable, secure AI systems.

45%+
Growth

AI & GenAI Market Exploding

The global AI and Generative AI market is growing at an unprecedented rate as enterprises adopt AI-first strategies.

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

 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 Transformation & Tech Leadership (Only with Live Training Plus)

  • 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

  • Meeting Room Etiquette
  • Focus Activity (Session Start)
  • Pleasant Face & Confident Smile
  • Clear & Confident Communication
  • Impact of Greetings
  • Inspirational Quotes
  • Personality & Presence
  • Using the Right Professional Tools
  • Hand & Body Gestures
  • Speaking Practice
  • Presentation Skills
  • Mic & Device Handling
  • Growth Mindset & Self-Improvement
  • Building High-Performance Teams
  • Delegation & Team Empowerment
  • Culture of Innovation
1. Azure AI: Ubuntu Data Science VM ARM Template
45 min
2. Azure AI: Exploring Form Recognition
30 min
3. Azure AI: Use an Azure AI Services Container
45 min
4. Azure AI: Read Text in Images
1 hr
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: Image Analysis with Azure AI Content Safety
45 min
14. Azure AI: Text Analysis with Azure AI Content Safety
45 min
15. Azure AI: Create a Knowledge Store with Azure AI Search
1 hr
16. Azure AI: Explore Computer Vision
30 min
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. Prime Number Generator
30 min
31. Prime Number Generator
30 min
32. Prime Number Generator
30 min
33. Prime Number Generator
30 min
34. Inventory Management with Collections
30 min
35. Temperature Converter Module
30 min
36. Temperature Converter Module
30 min
37. Temperature Converter Module
30 min
38. CSV Reader and Filter
30 min
39. CSV Reader and Filter
30 min
40. CSV Reader and Filter
30 min
41. Student Grade Tracker using Dictionary
30 min
42. Library Book Management System
30 min
43. Library Book Management System
30 min
44. Library Book Management System
30 min
45. Custom Calculator with Error Handling
30 min
46. Custom Calculator with Error Handling
30 min
47. Custom Calculator with Error Handling
30 min
48. Email Validator
30 min
49. Email Validator
30 min
50. Email Validator
30 min
51. Email Validator
30 min
52. Data Cleaner with map, filter, and lambda
30 min
53. Data Cleaner with map, filter, and lambda
30 min
54. Data Cleaner with map, filter, and lambda
30 min
55. Parallel File Download Simulation
30 min
56. Parallel File Download Simulation
30 min
57. Parallel File Download Simulation
30 min
58. Simple Weather API Fetcher
30 min
59. Simple Weather API Fetcher
30 min
60. Simple Weather API Fetcher
30 min
61. Logging Decorator
30 min
62. Logging Decorator
30 min
63. Logging Decorator
30 min
64. NumPy Basics – Arrays vs Python Lists, Creation & Indexing
1 hr
65. Introduction to Pandas – Series, DataFrame & Basic Operations
1 hr
66. Reading Data from Various Formats (CSV, Excel, JSON) in pandas
1 hr
67. Data Inspection & Initial Cleaning – Titanic Dataset
1 hr
68. Handling Missing Values – Titanic Dataset
1 hr
69. GroupBy, Aggregation, Pivot Tables & Chaining in pandas
1 hr
70. Exploring Types of Data & Measures of Central Tendency in Python
30 min
71. Measuring Spread – Variance, Standard Deviation, and Quartiles
30 min
72. Exploring Correlation & Covariance + Visual Exploration (Tips Dataset)
1 hr
73. Probability Basics & Simple Distributions
1 hr
74. Identifying & Analyzing Data Distributions – Normal vs Skewed
1 hr
75. Exploring ML Types & Workflow – Iris Classification
1 hr
76. Regression vs Classification – California Housing Dataset
1 hr
77. Unsupervised Learning – Clustering & Dimensionality Reduction
1 hr
78. Rule-Based vs ML-Based Sentiment Analysis
1 hr
79. Computer Vision Basics – Handwritten Digit Recognition
1 hr
80. Recommendation Systems – Collaborative Filtering Basics
1 hr
81. Introduction to Reinforcement Learning with Q-Learning
1 hr
82. Exploring Generative AI & Large Language Models (LLMs)
1 hr
83. Introduction to Prompt Engineering
1 hr
84. Applied Prompt Engineering with Modern LLMs
1 hr
85. AI Coding Assistants – GitHub Copilot Alternatives
1 hr
86. Setting Up & Using Windsurf (AI-Powered IDE) for Code Generation
1 hr
87. Azure AI Foundry: Generative AI Fundamentals with Azure OpenAI
30 min
88. Azure AI Foundry: Generative AI Fundamentals with Azure OpenAI
30 min
89. Azure AI Foundry: Exploring and Comparing Different LLMs
45 min
90. Azure AI Foundry: Exploring and Comparing Different LLMs
45 min
91. Azure AI Foundry: Responsible AI with Azure OpenAI
35 min
92. Azure AI Foundry: Responsible AI with Azure OpenAI
35 min
93. Azure AI Foundry: Prompting with Azure AI
30 min
94. Azure AI Foundry: Prompting with Azure AI
30 min
95. Azure AI Foundry: Building Layered AI Prompts
45 min
96. Azure AI Foundry: Building Layered AI Prompts
45 min
97. Azure AI Foundry: Building Chat Applications
45 min
98. Azure AI Foundry: Building Chat Applications
45 min
99. Azure AI Foundry: Generate Images with Azure DALL·E in Python
50 min
100. Azure AI Foundry: Generate Images with Azure DALL·E in Python
50 min
101. Azure AI Foundry: Text Generation Apps
30 min
102. Azure AI Foundry: Text Generation Apps
30 min
103. Azure AI Foundry: Mini Search Engine with Azure AI & Python
45 min
104. Azure AI Foundry: Mini Search Engine with Azure AI & Python
45 min
105. Azure AI Foundry: AI Weather App with Function Calling
50 min
106. Azure AI Foundry: AI Weather App with Function Calling
50 min
107. Azure AI Foundry: AI Chat App with Azure OpenAI & Flask
30 min
108. Azure AI Foundry: AI Chat App with Azure OpenAI & Flask
30 min
109. Azure AI Foundry: Conversational App with Flask & OpenAI
40 min
110. Azure AI Foundry: Conversational App with Flask & OpenAI
40 min
111. Azure AI Foundry: Generative AI Application Lifecycle
50 min
112. Azure AI Foundry: Generative AI Application Lifecycle
50 min
113. Azure AI Foundry: RAG AI Chat App with Azure & Flask
45 min
114. Azure AI Foundry: RAG AI Chat App with Azure & Flask
45 min
115. Azure AI Foundry: AI Policy Reviewer with Flask & Azure
50 min
116. Azure AI Foundry: AI Policy Reviewer with Flask & Azure
50 min
117. Azure AI Foundry: AI Policy Reviewer with Azure Agents
55 min
118. Azure AI Foundry: AI Policy Reviewer with Azure Agents
55 min
119. Azure AI Foundry: SLM App with Azure OpenAI & Flask
40 min
120. Azure AI Foundry: SLM App with Azure OpenAI & Flask
40 min
121. Azure AI Foundry: Fine-Tuned AI Assistant with Azure & Flask
45 min
122. Azure AI Foundry: Fine-Tuned AI Assistant with Azure & Flask
45 min
123. Azure AI Foundry: Low-Code AI App with Azure & Flask
40 min
124. Azure AI Foundry: Low-Code AI App with Azure & Flask
40 min
125. Azure AI Foundry: LLaMA Chat App with Hugging Face & Flask
50 min
126. Azure AI Foundry: LLaMA Chat App with Hugging Face & Flask
50 min
127. Your First Text Generation: Amazon Bedrock
30 min
128. Sentiment Analysis with Amazon Comprehend
30 min
129. Image Recognition with Amazon Rekognition
30 min
130. Speech-to-Text with Amazon Transcribe
30 min
131. Building a Chatbot with Amazon Lex V2
30 min
132. Document Intelligence with Amazon Textract
30 min
133. Advanced Prompt Engineering with Bedrock
30 min
134. AI Image Generation with Amazon Nova Canvas
30 min
135. Build Your Own RAG Chatbot with Bedrock
30 min
136. 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. Azure Generative AI Overview & Core Concepts
10 questions
19. Introduction to Azure AI Foundry Platform
10 questions
20. Hubs, Projects & Workspaces Architecture
10 questions
21. Azure AI Studio Features
10 questions
22. Identity, Access Control & Responsible AI Essentials
10 questions
23. Introduction to Python
10 questions
24. Variables, Memory Model & Data Types
10 questions
25. Type Casting, id(), type() & Unicode
10 questions
26. Input/Output Operations & Formatting
10 questions
27. Python Operators
10 questions
28. Conditional Statements in Python
10 questions
29. Python Looping Constructs
10 questions
30. Loop Control Statements in Python
10 questions
31. Azure Model Catalog for Gen AI
10 questions
32. Smart Model Selection for Modern AI Workloads
10 questions
33. Deploying Models: Cloud, Edge & Hybrid
10 questions
34. Model Evaluation, Testing, Tuning & Versioning
10 questions
35. Running Local LLMs with Docker & Transformers
10 questions
36. Azure Model Catalog for Gen AI
10 questions
37. Smart Model Selection for Modern AI Workloads
10 questions
38. Deploying Models: Cloud, Edge & Hybrid
10 questions
39. Model Evaluation, Testing, Tuning & Versioning
10 questions
40. Running Local LLMs with Docker & Transformers
10 questions
41. Core Python Libraries for Data Science
10 questions
42. Data Validation and API Tools
10 questions
43. FastAPI & Cloud API Development
10 questions
44. Creating and Consuming Azure AI Services (Language, Vision, Speech, Search)
10 questions
45. Securing AI Services (Authentication, Authorization, Network Security)
10 questions
46. Monitoring and Logging with Application Insights
10 questions
47. Integrating AI Services using CLI, SDKs, and REST APIs
10 questions
48. Cost Management and Governance for AI Projects
10 questions
49. Image Analysis with Prebuilt and Custom Vision Models
10 questions
50. Object and Face Detection in Images
10 questions
51. Optical Character Recognition (OCR) for Text Extraction
10 questions
52. Video Analysis (Real-Time and Batch)
10 questions
53. Deploying Vision Models to Edge Devices
10 questions
54. Introduction to AI
10 questions
55. Core AWS AI Tools and Services
10 questions
56. AWS AI Service Integration and Optimization
10 questions
57. Prompt Engineering Fundamentals
10 questions
58. Advanced Prompting (Layered Techniques)
10 questions
59. Building LLM Workflows with Prompt Flow
10 questions
60. Function Calling, Tools & External APIs
10 questions
61. Error Handling, Guardrails & Quality Controls
10 questions
62. Prompt Engineering Fundamentals
10 questions
63. Advanced Prompting (Layered Techniques)
10 questions
64. Building LLM Workflows with Prompt Flow
10 questions
65. Function Calling, Tools & External APIs
10 questions
66. Error Handling, Guardrails & Quality Controls
10 questions
67. Functions & Arguments in Python
10 questions
68. Python Built-in Functions
10 questions
69. Lambda Functions & Functional Programming
10 questions
70. Recursion in Python
10 questions
71. Modules, Packages & Import Internals
10 questions
72. Strings in Python
10 questions
73. Python Lists
10 questions
74. Tuples in Python
10 questions
75. Sets in Python
10 questions
76. Dictionaries in Python
10 questions
77. Arrays & Comparison of Python Collections
10 questions
78. RAG Architecture & Core Principles
10 questions
79. Document Ingestion & Preprocessing
10 questions
80. Embedding Strategies & Models
10 questions
81. Vector Databases (Azure Search, Pinecone, Redis)
10 questions
82. Latency, Ranking & Optimization
10 questions
83. RAG Architecture & Core Principles
10 questions
84. Document Ingestion & Preprocessing
10 questions
85. Embedding Strategies & Models
10 questions
86. Vector Databases (Azure Search, Pinecone, Redis)
10 questions
87. Latency, Ranking & Optimization
10 questions
88. ChatGPT in Testing and Automation
10 questions
89. AI for Code & Testing
10 questions
90. Text Analytics: Sentiment, Key Phrases, Named Entities
10 questions
91. Custom Text Classification and Entity Recognition
10 questions
92. Conversational Language Understanding (CLU)
10 questions
93. Question Answering with Azure AI Language
10 questions
94. Text Translation and Language Detection
10 questions
95. Speech-to-Text and Text-to-Speech Conversion
10 questions
96. Custom Speech Model Training
10 questions
97. Real-Time Captions and Speech Translation
10 questions
98. Voice Synthesis using Custom Neural Voice (CNV)
10 questions
99. Secure and Monitor Speech Services
10 questions
100. Introduction to Amazon Rekognition
10 questions
101. Image & Video Analytics Using Rekognition
10 questions
102. Intelligent Agent Fundamentals
10 questions
103. Microsoft Agent Framework
10 questions
104. Copilot & Agent-Orchestrated Workflows
10 questions
105. Multi-Agent Collaboration Models
10 questions
106. Validation Agents & Error Recovery
10 questions
107. Intelligent Agent Fundamentals
10 questions
108. Microsoft Agent Framework
10 questions
109. Copilot & Agent-Orchestrated Workflows
10 questions
110. Multi-Agent Collaboration Models
10 questions
111. Validation Agents & Error Recovery
10 questions
112. Object-Oriented Programming (OOP)
10 questions
113. OOP Fundamentals in Python
10 questions
114. Instance, Class & Static Methods in Python
10 questions
115. Inheritance, Method Overriding & Polymorphism in Python
10 questions
116. Encapsulation, Abstraction & Interfaces in Python
10 questions
117. File Handling in Python
10 questions
118. OS Module, Path Handling & Directory Operations
10 questions
119. Python Exception Handling
10 questions
120. MCP Architecture
10 questions
121. Building MCP Services
10 questions
122. Enterprise Data Integration
10 questions
123. Scaling, Authentication & Secure Context Sharing
10 questions
124. MCP Architecture
10 questions
125. Building MCP Services
10 questions
126. Enterprise Data Integration
10 questions
127. Scaling, Authentication & Secure Context Sharing
10 questions
128. Enterprise NLP Fundamentals
10 questions
129. Core Concepts of Amazon Comprehend
10 questions
130. Text & Language Insights with Amazon Comprehend
10 questions
131. Azure OpenAI Capabilities and Use Cases
10 questions
132. Prompt Engineering and Fine-Tuning GPT Models
10 questions
133. Building Apps with ChatGPT and GPT APIs
10 questions
134. Retrieval Augmented Generation (RAG)
10 questions
135. Image Generation using DALL·E
10 questions
136. Azure AI Search Architecture and Components
10 questions
137. Indexing Structured and Unstructured Data
10 questions
138. AI Enrichment with Cognitive Skills
10 questions
139. Semantic and Vector Search Implementation
10 questions
140. Integration with Azure OpenAI for RAG
10 questions
141. Amazon Textract Fundamentals
10 questions
142. Textract Document Analysis & Extraction
10 questions
143. Responsible AI Policies & Compliance
10 questions
144. Observability, Monitoring & Telemetry
10 questions
145. Responsible AI Policies & Compliance
10 questions
146. Observability, Monitoring & Telemetry
10 questions
147. Iterators, Generators, Decorators & Multithreading Basics
10 questions
148. Introduction to Python for AI/ML
10 questions
149. Python Environment Setup, IDEs & Package Management
10 questions
150. Working with Virtual Environments & Installing AI/ML Libraries
10 questions
151. Amazon Bedrock Essentials
10 questions
152. Kendra Search Service
10 questions
153. Planning Document Intelligence Solutions
10 questions
154. Prebuilt and Custom Document Model Usage
10 questions
155. Training and Testing Models with Sample Forms
10 questions
156. Composing and Chaining Multiple Models
10 questions
157. Large-Scale Document Processing
10 questions
158. Types of Data (Numerical & Categorical)
10 questions
159. Mean, Median, Mode & Data Distribution
10 questions
160. Variance, Standard Deviation, Percentiles & Quartiles
10 questions
161. Correlation, Covariance & Probability Basics
10 questions
162. Role of Mathematics & Statistics in Machine Learning
10 questions
163. Understanding Data Patterns, Bias & Skewness
10 questions
164. Interpreting Statistics in AI & ML
10 questions
165. Introduction to NumPy
10 questions
166. Array Creation, Indexing & Vectorized Operations
10 questions
167. Mathematical & Statistical Operations Using NumPy
10 questions
168. Introduction to Pandas
10 questions
169. Reading Data (CSV, Excel, JSON)
10 questions
170. Data Inspection, Cleaning & Handling Missing Values
10 questions
171. Filtering, Sorting, Grouping & Aggregation
10 questions
172. Data Science vs AI vs Machine Learning
10 questions
173. Types of Machine Learning & ML Workflow
10 questions
174. Training vs Testing Data & Model Evaluation Basics
10 questions
175. Supervised, Unsupervised & Reinforcement Learning
10 questions
176. Natural Language Processing & Computer Vision Fundamentals
10 questions
177. Recommendation Systems
10 questions
178. Generative AI, Large Language Models (LLMs) & Prompt Engineering
10 questions
179. GitHub Copilot: Setup, Prompting & AI-Assisted Development
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. Introduction to Azure AI Foundry
11 min
75. Adoption of Generative AI Through Azure AI Foundry
8 min
76. Adoption of Generative AI Through Azure AI Foundry
8 min
77. Architectural Overview of Azure AI Foundry
7 min
78. Architectural Overview of Azure AI Foundry
7 min
79. Features and Capabilities of Azure AI Studio
8 min
80. Features and Capabilities of Azure AI Studio
8 min
81. Exploring the AI Model Catalog in Azure AI Foundry
8 min
82. Exploring the AI Model Catalog in Azure AI Foundry
8 min
83. Identity and Access Management in Azure AI Foundry
10 min
84. Identity and Access Management in Azure AI Foundry
10 min
85. Responsible AI and Compliance Features in Foundry
6 min
86. Responsible AI and Compliance Features in Foundry
6 min
87. Observability and Performance Monitoring Tools in Azure AI Foundry
13 min
88. Observability and Performance Monitoring Tools in Azure AI Foundry
13 min
89. Using the Azure AI Foundry SDK and Command-Line Tools
7 min
90. Using the Azure AI Foundry SDK and Command-Line Tools
7 min
91. Automating AI Workflows Using Prompt Flow and Pipelines
8 min
92. Automating AI Workflows Using Prompt Flow and Pipelines
8 min
93. Implementing CI/CD Pipelines for AI Model Deployment
13 min
94. Implementing CI/CD Pipelines for AI Model Deployment
13 min
95. Introduction to AWS AI
3 min
96. AWS AI Services
3 min
97. Responsible AI Principles on AWS
4 min
98. Working with ChatGPT
3 min
99. Code Generation & Documentation
4 min
100. Debugging and Optimization via AI Tools
4 min
101. Copilot for Automated Test Generation
3 min
102. Introduction to Amazon Rekognition
5 min
103. Image & Video Intelligence with Amazon Rekognition
6 min
104. Introduction to Amazon Comprehend
4 min
105. Advanced Text Analysis, NLP & Multilingual CLU with AWS AI Services
10 min
106. Introduction to Amazon Textract
6 min
107. Advanced Document Intelligence with Amazon Textract
6 min
108. Introduction to Amazon Bedrock
7 min
109. RAG and Titan Image Generation on AWS Bedrock
10 min
110. Introduction to Amazon Kendra
8 min
111. Introduction to Amazon Kendra
8 min
112. Introduction to Amazon Kendra
8 min
113. Introduction to Amazon Kendra
8 min
114. Introduction to Amazon Kendra
8 min
115. File Handling in Python
4 min
116. File Handling in Python
4 min
117. File Handling in Python
4 min
118. Errors & Exception Handling in Python
9 min
119. Errors & Exception Handling in Python
9 min
120. Errors & Exception Handling in Python
9 min
121. Introduction to Python for AI
7 min
122. Introduction to Python for Data Science
7 min
123. Types of Data in Data Science
6 min
124. Introduction to NumPy
5 min
125. Mathematical NumPy Functions
5 min
126. Introduction to Pandas
5 min
127. Data Processing with Pandas
4 min
128. Data Preprocessing for AI & ML
5 min
129. Mathematics & Statistics Fundamentals
6 min
130. Probability Data Distributions
4 min
131. Correlation, Covariance, and Percentiles
5 min
132. Introduction to Machine Learning
8 min
133. Supervised and Unsupervised Learning
5 min
134. Introduction to Generative AI
7 min
135. Introduction to Prompt Engineering
5 min
136. GitHub Copilot for AI & Data Science
7 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 Python
15 questions
  10. Python Skill Test
30 questions
  11. Type Casting, Object Identity & Unicode Handling
15 questions
  12. Python Operators & Expressions
15 questions
  13. Conditional Statements & Boolean Logic in Python
15 questions
  14. Loop Control Statements in Python
15 questions
  15. Python Functions, Arguments & Scope
15 questions
  16. Core Python Data Structures
15 questions
  17. Object-Oriented Programming (OOP) Basics
15 questions
  18. File Handling & OS Operations
15 questions
  19. Exception Handling & Error Management
15 questions
  20. Python Foundations and Mathematical Concepts for AIML
15 questions
  21. Statistics, Probability, and Data Distribution for Data Science
15 questions
  22. NumPy Essentials for Data Analysis and Scientific Computing
15 questions
  23. Pandas for Data Manipulation, Cleaning, and Preparation
15 questions
  24. Data Filtering, Sorting, and Grouping Using Pandas
15 questions
  25. Machine Learning Fundamentals and Workflow
15 questions
  26. Supervised, Unsupervised, and Reinforcement Learning Techniques
15 questions
  27. NLP, Computer Vision, and Recommendations
15 questions
  28. Generative AI, Large Language Models, and Prompt Engineering
15 questions
  29. AI Developer Tools and Productivity with GitHub Copilot
15 questions
  30. Introduction to Azure AI Foundry
15 questions
  31. Azure AI Foundry Architecture and Core Services
15 questions
  32. Azure AI Foundry Data Management and Integration
15 questions
  33. Azure AI Foundry Model Deployment and Monitoring
15 questions
  34. Azure AI Foundry Security, Networking, and Governance
15 questions
  35. Azure AI Foundry Developer Tools and Ecosystem Integration
15 questions
  36. AI Foundations with AWS
15 questions
  37. Productivity with ChatGPT & Copilot
15 questions
  38. AWS Computer Vision with Recognition
15 questions
  39. NLP & Text Intelligence using Amazon Comprehend
15 questions
  40. Document Intelligence using Amazon Textract
15 questions
  41. Gen AI Platform with Amazon Bedrock
15 questions
  42. AI Search with Amazon Kendra
15 questions
  43. Introduction to Azure AI Foundry
15 questions
  44. Azure AI Foundry Architecture and Core Services
15 questions
  45. Azure AI Foundry Data Management and Integration
15 questions
  46. Azure AI Foundry Model Deployment and Monitoring
15 questions
  47. Azure AI Foundry Security, Networking, and Governance
15 questions
  48. Azure AI Foundry Developer Tools and Ecosystem Integration
15 questions
DOWNLOAD DETAILED CURRICULUM

Multi Cloud AI Architect Career Scope

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2.5k
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2.5k
2k
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Max(55L)
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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 Certification (AI-102) and AWS Certification (AIP-C01)
  •  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!

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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

Technical Consultant and Corporate Trainer

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

Author and .NET Tech Lead

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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
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