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Multi-Cloud AI & GenAI Engineer Certification 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
Earn Microsoft & AWS Certifications in AI/GenAI
Practice tests to ace AI-102 + AIP-C01 exams
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 and Gen AI Engineer?

Build a Future with Multi-Cloud AI & GenAI Skills and Earn ₹42 LPA+

Master Azure AI, Azure OpenAI, AWS AI & Amazon Bedrock to design, build, deploy, and scale enterprise-grade AI and Generative AI solutions across multiple cloud platforms.

#1 & #2
Cloud Platforms

Azure & AWS – Global Cloud Leaders

Azure and AWS together lead the global cloud market, offering the most mature and scalable AI & GenAI ecosystems.

10M+
Applications

Azure & AWS Power 10M+ Applications

From startups to Fortune 500 enterprises, millions of applications run on Azure and AWS AI-powered cloud platforms.

300+
AI Services

300+ AI & GenAI Services

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

3M+
Opportunities

3M+ Global AI Job Opportunities

Demand for Multi-Cloud AI & GenAI Engineers is accelerating across healthcare, fintech, SaaS, retail, and enterprises.

₹42 LPA+
Salary

High-Paying AI & GenAI Roles

Multi-Cloud AI & GenAI Engineers command premium salaries due to their ability to build and scale AI systems across clouds.

45%+
Growth

AI & GenAI Market Growing Rapidly

The global AI and Generative AI market continues to grow at over 45% 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 and Gen AI Engineer Certification Course Curriculum

The Multi-Cloud AI & GenAI Engineer Program is designed to equip learners with in-demand skills across Azure and AWS AI ecosystems, with a strong focus on Generative 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 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: 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: Deploy AI Search using Bicep
30 min
5. Azure AI: Translate Text with Azure AI Translator
45 min
6. Azure AI: Ubuntu Data Science VM ARM Template
45 min
7. Azure AI: Validate AI Configuration Input using Pydantic
30 min
8. Azure AI: AI Sensor Data Preprocessing using NumPy
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: Text Analysis with Azure AI Content Safety
45 min
12. Azure AI: Building Azure AI Health Bot using Azure CLI
30 min
13. Azure AI: Deploy AI Search using an ARM Template
30 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. 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. Your First Text Generation: Amazon Bedrock
30 min
88. Sentiment Analysis with Amazon Comprehend
30 min
89. Image Recognition with Amazon Rekognition
30 min
90. Speech-to-Text with Amazon Transcribe
30 min
91. Building a Chatbot with Amazon Lex V2
30 min
92. Document Intelligence with Amazon Textract
30 min
93. Advanced Prompt Engineering with Bedrock
30 min
94. AI Image Generation with Amazon Nova Canvas
30 min
95. Build Your Own RAG Chatbot with Bedrock
30 min
96. 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. Introduction to Python
10 questions
14. Variables, Memory Model & Data Types
10 questions
15. Type Casting, id(), type() & Unicode
10 questions
16. Input/Output Operations & Formatting
10 questions
17. Python Operators
10 questions
18. Conditional Statements in Python
10 questions
19. Python Looping Constructs
10 questions
20. Loop Control Statements in Python
10 questions
21. Core Python Libraries for Data Science
10 questions
22. Data Validation and API Tools
10 questions
23. FastAPI & Cloud API Development
10 questions
24. Creating and Consuming Azure AI Services (Language, Vision, Speech, Search)
10 questions
25. Securing AI Services (Authentication, Authorization, Network Security)
10 questions
26. Monitoring and Logging with Application Insights
10 questions
27. Integrating AI Services using CLI, SDKs, and REST APIs
10 questions
28. Cost Management and Governance for AI Projects
10 questions
29. Image Analysis with Prebuilt and Custom Vision Models
10 questions
30. Object and Face Detection in Images
10 questions
31. Optical Character Recognition (OCR) for Text Extraction
10 questions
32. Video Analysis (Real-Time and Batch)
10 questions
33. Deploying Vision Models to Edge Devices
10 questions
34. Introduction to AI
10 questions
35. Core AWS AI Tools and Services
10 questions
36. AWS AI Service Integration and Optimization
10 questions
37. Functions & Arguments in Python
10 questions
38. Python Built-in Functions
10 questions
39. Lambda Functions & Functional Programming
10 questions
40. Recursion in Python
10 questions
41. Modules, Packages & Import Internals
10 questions
42. Strings in Python
10 questions
43. Python Lists
10 questions
44. Tuples in Python
10 questions
45. Sets in Python
10 questions
46. Dictionaries in Python
10 questions
47. Arrays & Comparison of Python Collections
10 questions
48. ChatGPT in Testing and Automation
10 questions
49. AI for Code & Testing
10 questions
50. Text Analytics: Sentiment, Key Phrases, Named Entities
10 questions
51. Custom Text Classification and Entity Recognition
10 questions
52. Conversational Language Understanding (CLU)
10 questions
53. Question Answering with Azure AI Language
10 questions
54. Text Translation and Language Detection
10 questions
55. Speech-to-Text and Text-to-Speech Conversion
10 questions
56. Custom Speech Model Training
10 questions
57. Real-Time Captions and Speech Translation
10 questions
58. Voice Synthesis using Custom Neural Voice (CNV)
10 questions
59. Secure and Monitor Speech Services
10 questions
60. Introduction to Amazon Rekognition
10 questions
61. Image & Video Analytics Using Rekognition
10 questions
62. Object-Oriented Programming (OOP)
10 questions
63. OOP Fundamentals in Python
10 questions
64. Instance, Class & Static Methods in Python
10 questions
65. Inheritance, Method Overriding & Polymorphism in Python
10 questions
66. Encapsulation, Abstraction & Interfaces in Python
10 questions
67. File Handling in Python
10 questions
68. OS Module, Path Handling & Directory Operations
10 questions
69. Python Exception Handling
10 questions
70. Enterprise NLP Fundamentals
10 questions
71. Core Concepts of Amazon Comprehend
10 questions
72. Text & Language Insights with Amazon Comprehend
10 questions
73. Azure OpenAI Capabilities and Use Cases
10 questions
74. Prompt Engineering and Fine-Tuning GPT Models
10 questions
75. Building Apps with ChatGPT and GPT APIs
10 questions
76. Retrieval Augmented Generation (RAG)
10 questions
77. Image Generation using DALL·E
10 questions
78. Azure AI Search Architecture and Components
10 questions
79. Indexing Structured and Unstructured Data
10 questions
80. AI Enrichment with Cognitive Skills
10 questions
81. Semantic and Vector Search Implementation
10 questions
82. Integration with Azure OpenAI for RAG
10 questions
83. Amazon Textract Fundamentals
10 questions
84. Textract Document Analysis & Extraction
10 questions
85. Iterators, Generators, Decorators & Multithreading Basics
10 questions
86. Introduction to Python for AI/ML
10 questions
87. Python Environment Setup, IDEs & Package Management
10 questions
88. Working with Virtual Environments & Installing AI/ML Libraries
10 questions
89. Amazon Bedrock Essentials
10 questions
90. Kendra Search Service
10 questions
91. Planning Document Intelligence Solutions
10 questions
92. Prebuilt and Custom Document Model Usage
10 questions
93. Training and Testing Models with Sample Forms
10 questions
94. Composing and Chaining Multiple Models
10 questions
95. Large-Scale Document Processing
10 questions
96. Types of Data (Numerical & Categorical)
10 questions
97. Mean, Median, Mode & Data Distribution
10 questions
98. Variance, Standard Deviation, Percentiles & Quartiles
10 questions
99. Correlation, Covariance & Probability Basics
10 questions
100. Role of Mathematics & Statistics in Machine Learning
10 questions
101. Understanding Data Patterns, Bias & Skewness
10 questions
102. Interpreting Statistics in AI & ML
10 questions
103. Introduction to NumPy
10 questions
104. Array Creation, Indexing & Vectorized Operations
10 questions
105. Mathematical & Statistical Operations Using NumPy
10 questions
106. Introduction to Pandas
10 questions
107. Reading Data (CSV, Excel, JSON)
10 questions
108. Data Inspection, Cleaning & Handling Missing Values
10 questions
109. Filtering, Sorting, Grouping & Aggregation
10 questions
110. Data Science vs AI vs Machine Learning
10 questions
111. Types of Machine Learning & ML Workflow
10 questions
112. Training vs Testing Data & Model Evaluation Basics
10 questions
113. Supervised, Unsupervised & Reinforcement Learning
10 questions
114. Natural Language Processing & Computer Vision Fundamentals
10 questions
115. Recommendation Systems
10 questions
116. Generative AI, Large Language Models (LLMs) & Prompt Engineering
10 questions
117. 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 AWS AI
3 min
74. AWS AI Services
3 min
75. Responsible AI Principles on AWS
4 min
76. Working with ChatGPT
3 min
77. Code Generation & Documentation
4 min
78. Debugging and Optimization via AI Tools
4 min
79. Copilot for Automated Test Generation
3 min
80. Introduction to Amazon Rekognition
5 min
81. Image & Video Intelligence with Amazon Rekognition
6 min
82. Introduction to Amazon Comprehend
4 min
83. Advanced Text Analysis, NLP & Multilingual CLU with AWS AI Services
10 min
84. Introduction to Amazon Textract
6 min
85. Advanced Document Intelligence with Amazon Textract
6 min
86. Introduction to Amazon Bedrock
7 min
87. RAG and Titan Image Generation on AWS Bedrock
10 min
88. Introduction to Amazon Kendra
8 min
89. Introduction to Amazon Kendra
8 min
90. Introduction to Amazon Kendra
8 min
91. Introduction to Amazon Kendra
8 min
92. Introduction to Amazon Kendra
8 min
93. File Handling in Python
4 min
94. File Handling in Python
4 min
95. File Handling in Python
4 min
96. Errors & Exception Handling in Python
9 min
97. Errors & Exception Handling in Python
9 min
98. Errors & Exception Handling in Python
9 min
99. Introduction to Python for AI
7 min
100. Introduction to Python for Data Science
7 min
101. Types of Data in Data Science
6 min
102. Introduction to NumPy
5 min
103. Mathematical NumPy Functions
5 min
104. Introduction to Pandas
5 min
105. Data Processing with Pandas
4 min
106. Data Preprocessing for AI & ML
5 min
107. Mathematics & Statistics Fundamentals
6 min
108. Probability Data Distributions
4 min
109. Correlation, Covariance, and Percentiles
5 min
110. Introduction to Machine Learning
8 min
111. Supervised and Unsupervised Learning
5 min
112. Introduction to Generative AI
7 min
113. Introduction to Prompt Engineering
5 min
114. GitHub Copilot for AI & Data Science
7 min
  1. Azure AI Skill Test
30 questions
  2. Introduction to Azure AI and Responsible AI
15 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 Python
15 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. AI Foundations with AWS
15 questions
  31. Productivity with ChatGPT & Copilot
15 questions
  32. AWS Computer Vision with Recognition
15 questions
  33. NLP & Text Intelligence using Amazon Comprehend
15 questions
  34. Document Intelligence using Amazon Textract
15 questions
  35. Gen AI Platform with Amazon Bedrock
15 questions
  36. AI Search with Amazon Kendra
15 questions
DOWNLOAD DETAILED CURRICULUM

Multi Cloud AI and Gen AI Engineer Career Scope

₹32.5 LPA
Avg package
44%
Avg hike
1000+
Tech transitions

Annual Average Salaries

2.5k
2k
1.5k
1k
0k
Min(14L)
Avg(32L)
Max(55L)
Demand
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
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
GitHub Copilot
GitHub
GitHub
Interview Prep
Interview Prep

What can you accomplish at the end of training?

Transform Your Career: Become a Multi Cloud AI and Gen AI Engineer!

  •  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, Gen AI Engineer today!

Book Your Demo

Pricing and Payment Plans

Live Training

  • Live Sessions
  • Project(s)
  • Skill Tests (36+)
40% OFF - Limited Time
₹49,999
₹29,999
12 months access to course
5-Day 100% Money-Back Guarantee*
MOST POPULAR

Live Training Plus+

  • Live Sessions
  • Video Courses
  • Projects (2+)
  • Hands-on Labs (96+)
  • Q&A Interview (117+)
  • Skill Tests (36+)
  • Quick Notes (114+)

Plus Benefits Worth ₹10,000

Career Coaching - Personalized guidance
Leadership Sessions - Master executive skills
40% OFF - Limited Time
₹54,997
₹32,999
24 months access to course
5-Day 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
40% OFF - Limited Time
₹83,332
₹49,999
24 months access to course
*Exclusively for corporate — minimum 5 users
User Groups
Trusted by 2,00,000+ Thought Developers, Tech Leads and Architects

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
View Profile
Pranit Thakur

Pranit Thakur

Technical Consultant and Corporate Trainer

12+ Years Technical & Corporate Training
Expert in React, Angular & Node.js
Passionate Technology Trainer & Mentor
View Profile
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
View Profile
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Student Reviews
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Google Reviews
4.7/5
Facebook Reviews
4.9/5

Our Students are working at companies such as:

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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100% Live Sessions
600+ Quick notes
900+ Hands-on labs
50+ Real-world projects
45+ Interview books
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