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AWS AI & Gen AI Engineer Certification Training

Master AWS AI with our AWS AI Engineer Course. Prepare for AWS AI Engineer Certification Training and boost your career in AI.
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12
live sessions
5
modules
72
lessons
54
self-paced videos
Shailendra Chauhan
Your mentor Shailendra Chauhan Microsoft MVP, Founder & CEO at ScholarHat
12 live sessionsinstructor-led 5-module program11 topics Certificateon completion

Tools and Technologies Covered

Amazon SageMakerAmazon SageMaker
Amazon BedrockAmazon Bedrock
Amazon RekognitionRekognition
Amazon OpenSearchOpenSearch
Amazon PersonalizePersonalize
Amazon TextractTextract
Amazon PollyPolly
Amazon ComprehendComprehend
Amazon SageMakerAmazon SageMaker
Amazon BedrockAmazon Bedrock
Amazon RekognitionRekognition
Amazon OpenSearchOpenSearch
Amazon PersonalizePersonalize
Amazon TextractTextract
Amazon PollyPolly
Amazon ComprehendComprehend
Amazon KendraKendra
Amazon OpenSearchOpenSearch
LLMsLLMs
LlamaLlama Model
ClaudeClaude
ChatGPTChatGPT
Amazon KendraKendra
Amazon OpenSearchOpenSearch
LLMsLLMs
LlamaLlama Model
ClaudeClaude
ChatGPTChatGPT

AWS AI Engineer Certification Training Key Features

Program Benefits

6 Weeks of Intensive Live Training

Interactive live sessions with real-time problem solving and expert-led guidance.

Learn from AWS Experts

Get trained by experienced cloud and AI professionals with real-world AWS expertise.

Build AWS AI Projects

Develop portfolio-ready AI applications using Amazon Bedrock, SageMaker, Rekognition, and other AWS AI services.

Hands-On Labs

Practice real AWS AI and Generative AI scenarios with guided labs and practical exercises.

Interview Q&A

Prepare with frequently asked AWS Cloud and AI interview questions, expert answers, and best practices.

Quick Notes

Access concise revision notes, architecture diagrams, and cheat sheets for quick review.

6 Weeks Live Training AWS Expert Mentors Hands-On AWS AI Projects Interview Q&A + Quick Notes

Why Become an AWS AI Engineer in 2026?

Industry Leadership

#1 Cloud AI Platform

AWS is the world's leading cloud platform and powers AI and machine learning workloads across finance, healthcare, retail, manufacturing, and enterprise applications.

35% Cloud Market Share

High Salary

Earn up to ₹35 LPA

AWS AI Engineers are among the highest-paid cloud professionals with excellent opportunities in India and worldwide.

₹18–35 LPA

Career Opportunities

3.2 Million+ AI Jobs

Build your career as an AI Engineer, ML Engineer, AI Solutions Architect, or Data Scientist using AWS AI and Generative AI technologies.

3.2M+ Opportunities

AWS AI Ecosystem

250+ AI & ML Services

Build intelligent applications using Amazon Bedrock, SageMaker, Rekognition, Textract, Comprehend, Polly, Kendra, and more.

250+ AI Services

Enterprise Adoption

85% Enterprises Use AI

Organizations worldwide are adopting cloud AI rapidly, with AWS powering production AI applications across every major industry.

85% Enterprise Adoption

Future Growth

48.5% GenAI Growth

The Generative AI market continues to expand rapidly, creating exceptional long-term opportunities for AWS AI professionals.

48.5% CAGR

AWS AI Engineer Career Scope

AWS AI Engineer
AI Engineer
AWS AI Architect
AI Architect
AI Lead
₹12 LPA
Avg package
35%
Avg hike
3,200+
Transitions
78%
Demand
Annual Salaries (₹)
₹15 LPA
Avg package
38%
Avg hike
3,200+
Transitions
75%
Demand
Annual Salaries (₹)
₹20 LPA
Avg package
40%
Avg hike
3,200+
Transitions
72%
Demand
Annual Salaries (₹)
₹24 LPA
Avg package
45%
Avg hike
3,200+
Transitions
75%
Demand
Annual Salaries (₹)
₹42 LPA
Avg package
80%
Avg hike
6,000+
Transitions
99%
Demand
Annual Salaries (₹)

Course Curriculum

  • 5 modules
  • 11 topics
  • 72 lessons
  • 12 live sessions
  1. Module 1 Python For AI Development 2 topics 15 lessons

    Python Foundations

    • Introduction to Python
    • Variables and Data Types
    • Operators
    • Conditional Statements and Loops
    • Functions & Classes
    • Dictionaries and Sets
    • Modules and File Handling

    Python Libraries

    • Pandas
    • Numpy
    • Matplotlib
    • Pydantic
    • Uv Package Manager
    • FastAPI
    • Building REST APIs
    • Database Operations
  2. Module 2 AI Foundations with AWS 2 topics 17 lessons

    AI Foundations

    • Introduction to Artificial Intelligence
    • Understanding Machine Learning
    • Types of Machine Learning
    • Introduction to Deep Learning
    • Machine Learning vs Deep Learning
    • Introduction to Generative AI
    • Introduction to Large Language Models (LLMs)
    • AWS AI and ML Services Overview
    • AWS AI Workloads & Use Cases
    • Responsible AI Principles
    • AI Practitioner & Generative AI Certification Overview

    Working with AWS AI Services

    • Setting up AWS AI Services
    • AWS AI Service Deployment Options
    • Consuming AWS AI Services via Console, SDK, and API
    • Using AWS SDK (Boto3) for AI Operations
    • Securing AWS AI Services with IAM
    • Managing AI Costs and Budgets
  3. Module 3 AWS Cognitive and Vision AI Services 3 topics 16 lessons

    Computer Vision with AWS

    • Introduction to Amazon Rekognition
    • Image and Video Analysis with Rekognition
    • Face Detection, Comparison, and Analysis
    • Object and Scene Detection
    • Optical Character Recognition (OCR) with Textract
    • Custom Vision Models using Amazon Lookout for Vision

    Natural Language Processing with AWS

    • Amazon Comprehend Overview
    • Sentiment Analysis and Key Phrase Extraction
    • Named Entity Recognition (NER)
    • Language Detection and Translation with Amazon Translate
    • Building Q&A Systems with Amazon Lex and Comprehend
    • Custom Classification and Entity Recognition

    Document Intelligence with AWS

    • Extract Structured Data with Amazon Textract
    • Automating Document Processing Workflows
    • Integrating Textract with Comprehend for Intelligent Extraction
    • Building End-to-End Document AI Pipelines
  4. Module 4 Amazon Bedrock and Kendra 2 topics 13 lessons

    Amazon Bedrock (Generative AI)

    • Introduction to Amazon Bedrock
    • Overview of Foundation Models (Claude, Titan, Llama, Mistral)
    • Fine-Tuning and Prompt Engineering in Bedrock
    • Implementing Retrieval-Augmented Generation (RAG)
    • Image Generation with Stability AI (via Bedrock)
    • Prompt Design and Optimization Principles
    • Deploying Bedrock Models in Applications

    Intelligent Search with Amazon Kendra

    • Introduction to Amazon Kendra
    • Architecture and Core Components
    • Data Sources, Crawlers, and Indexing
    • Implementing Semantic and FAQ Search
    • Integrating Kendra with Bedrock for RAG
    • Building AI-Powered Search Applications
  5. Module 5 ChatGPT, Amazon Q, and GitHub Copilot 2 topics 11 lessons

    Working with ChatGPT and Amazon Q

    • Understanding OpenAI and ChatGPT
    • Overview of Amazon Q (AWS GenAI Assistant)
    • Building AI Agents using Amazon Q Developer Tools
    • Code Generation and Debugging using ChatGPT and Q
    • Generating Documentation and Code Explainability
    • Multi-Language Translation and Code Refactoring

    GitHub Copilot

    • What is GitHub Copilot?
    • Setting up GitHub Copilot with VS Code
    • Using Copilot for Code Generation and Optimization
    • Debugging and Testing with Copilot
    • Copilot X and Integration with ChatGPT and AWS Tools
DOWNLOAD DETAILED CURRICULUM
  • 5 modules
  • 54 videos
  • 3h 17m total
  1. Module 1Introduction to Python: getting Started 13 videos 58m

    Overview of Python

    • Python Overview 0h 02m 42s
    • Python Advantages and Disadvantages 0h 03m 51s
    • Python an Interpreted Language 0h 02m 15s
    • Python History 0h 03m 24s
    • Downloading and Installing Python 0h 04m 15s
    • Python First Program 0h 03m 53s

    Variables and Data Types

    • Variables 0h 06m 03s
    • Data Types 0h 07m 04s
    • String and String Methods 0h 06m 07s
    • String Formatting 0h 03m 09s
    • Escapse Sequences 0h 03m 32s
    • Python Operators 0h 07m 28s
    • Reading from Keyboard 0h 04m 36s
  2. Module 2Python Conditional Statement and Loops 13 videos 38m

    Conditional Constructs

    • Conditional Statements 0h 01m 37s
    • If Statement 0h 03m 47s
    • If else statement 0h 02m 33s
    • If-Elif-Else-Statement 0h 03m 43s
    • Nested Conditions 0h 03m 42s
    • Match-Case Conditions 0h 02m 59s

    Looping Constructs

    • Loops in Python 0h 00m 44s
    • For Loop 0h 05m 50s
    • While Loop 0h 04m 23s
    • Jump Statements 0h 00m 53s
    • Break Statement 0h 02m 00s
    • Continue Statement 0h 03m 22s
    • Return Statement 0h 02m 28s
  3. Module 3Functions, Modules in Python 9 videos 29m

    Working with Functions

    • Python Functions - Session Agenda 0h 00m 36s
    • Functions Introduction 0h 01m 20s
    • Defining and Calling Functions 0h 02m 57s
    • Function Arguments 0h 04m 50s
    • Lambda Functions 0h 04m 28s
    • Recursion Function 0h 04m 34s
    • Built-In Functions 0h 04m 10s
    • Anonymous-Functions 0h 02m 41s
    • Global, Local and NonLocal 0h 03m 55s
  4. Module 4Object-Oriented Programming (OOP) with Python 9 videos 36m

    Object Oriented Programming

    • Object-Oriented-Programming-Module-Introduction 0h 01m 00s
    • OOPS Introduction 0h 01m 45s
    • Classes and Objects 0h 03m 56s
    • Inheritance 0h 05m 52s
    • Polymorphism 0h 04m 22s
    • Encapsulation 0h 04m 42s
    • Abstraction 0h 04m 41s
    • Access Modifiers 0h 05m 21s
    • Constructor 0h 05m 11s
  5. Module 5File Handling And Exception Handling in Python 10 videos 35m

    File Handling

    • File Handling Session Agenda 0h 00m 38s
    • Python File Handling Introduction 0h 01m 59s
    • How-python-talk-to-files 0h 05m 01s
    • Text vs. Binary Files 0h 04m 45s
    • Python-Directory 0h 05m 49s
    • Exception Handling Agenda 0h 01m 00s
    • Python Exceptions 0h 02m 56s
    • Python Exception Handling 0h 03m 29s
    • Exception Handling Hands-On 0h 04m 11s
    • User Defined Exception 0h 05m 30s
  1. 01 Introduction to AWS AI 0:03:00
  2. 02 Introduction to Python 0:06:30
  3. 03 Variables & Data Types in Python 0:05:00
  4. 04 AWS AI Services 0:03:30
  5. 05 Responsible AI Principles on AWS 0:04:00
  6. 06 Operators in Python 0:04:00
  7. 07 Conditional Statements in Python 0:03:00
  8. 08 Working with ChatGPT 0:03:00
  9. 09 Code Generation & Documentation 0:04:00
  10. 10 Loops in Python 0:02:30
  11. 11 Jump Statements in Python 0:03:30
  12. 12 Debugging and Optimization via AI Tools 0:04:00
  13. 13 Copilot for Automated Test Generation 0:03:30
  14. 14 Functions in Python 0:06:00
  15. 15 Lambda Functions in Python 0:04:00
  16. 16 Introduction to Amazon Rekognition 0:05:00
  17. 17 Image & Video Intelligence with Amazon Rekognition 0:06:00
  18. 18 Recursion in Python 0:05:30
  19. 19 Modules and Packages in Python 0:04:00
  20. 20 Introduction to Amazon Comprehend 0:04:00
  21. 21 Advanced Text Analysis, NLP & Multilingual CLU with AWS AI Services 0:10:00
  22. 22 Object-Oriented Programming (OOP) with Python 0:07:00
  23. 23 File Handling in Python 0:04:00
  24. 24 Introduction to Amazon Textract 0:06:30
  25. 25 Advanced Document Intelligence with Amazon Textract 0:06:00
  26. 26 Errors & Exception Handling in Python 0:09:30
  27. 27 Introduction to Amazon Bedrock 0:07:00
  28. 28 RAG and Titan Image Generation on AWS Bedrock 0:10:00
  29. 29 Introduction to Amazon Kendra 0:08:00
  1. 01 Your First Text Generation: Amazon Bedrock 00:30:00
  2. 02 Prime Number Generator 00:30:00
  3. 03 Sentiment Analysis with Amazon Comprehend 00:30:00
  4. 04 Image Recognition with Amazon Rekognition 00:30:00
  5. 05 Temperature Converter Module 00:30:00
  6. 06 CSV Reader and Filter 00:30:00
  7. 07 Speech-to-Text with Amazon Transcribe 00:30:00
  8. 08 Building a Chatbot with Amazon Lex V2 00:30:00
  9. 09 Document Intelligence with Amazon Textract 00:30:00
  10. 10 Library Book Management System 00:30:00
  11. 11 Custom Calculator with Error Handling 00:30:00
  12. 12 Advanced Prompt Engineering with Bedrock 00:30:00
  13. 13 Email Validator 00:30:00
  14. 14 AI Image Generation with Amazon Nova Canvas 00:30:00
  15. 15 Build Your Own RAG Chatbot with Bedrock 00:30:00
  16. 16 Data Cleaner with map, filter, and lambda 00:30:00
  17. 17 Parallel File Download Simulation 00:30:00
  18. 18 Multimodal Vision with Claude 3 Haiku 00:30:00
  19. 19 Simple Weather API Fetcher 00:30:00
  20. 20 Logging Decorator 00:30:00
  1. 01 Productivity with ChatGPT & Copilot 15 questions
  2. 02 AWS Computer Vision with Recognition 15 questions
  3. 03 NLP & Text Intelligence using Amazon Comprehend 15 questions
  4. 04 Document Intelligence using Amazon Textract 15 questions
  5. 05 Gen AI Platform with Amazon Bedrock 15 questions
  6. 06 AI Search with Amazon Kendra 15 questions
  1. Q&A guideIntroduction to Python: getting Started 11 questions
    • Python Basics 0:30:00
    • Introduction to Python 0:20:00
    • Variables and Data Types in Python 0:30:00
    • Variables & Data Types 0:15:00
    • Strings in Python 0:30:00
    • Operators in Python 0:18:00
    • Operators in Python 0:30:00
    • Dictionaries & Sets in Python 0:19:00
    • List in Python 0:30:00
    • Tuples in Python 0:30:00
    • Dictionary & Sets in Python 0:30:00
  2. Q&A guidePython Conditional Statement and Loops 3 questions
    • Conditional Statements & Loops in Python 0:20:00
    • Conditional Statements in Python 0:30:00
    • Looping Statements in Python 0:30:00
  3. Q&A guideFunctions, Modules in Python 4 questions
    • Function in Python 0:30:00
    • Python Modules & Files 0:16:00
    • Recursion in Python 0:30:00
    • File Handling in Python 0:30:00
  4. Q&A guideObject-Oriented Programming (OOP) with Python 1 questions
    • Python Functions & Classes 0:17:00
  5. Q&A guideAWS AI: AI Foundations on AWS 10 questions
    • Core Python Libraries for Data Science 0:20:00
    • Data Validation and API Tools 0:15:00
    • FastAPI & Cloud API Development 0:18:00
    • Introduction to AI 0:20:00
    • Core AWS AI Tools and Services 0:19:00
    • AWS AI Service Integration and Optimization 0:17:00
    • Amazon SageMaker 0:20:00
    • Amazon Polly 0:15:00
    • Amazon Transcribe 0:18:00
    • Amazon Personalize 0:20:00
  6. Q&A guideAWS AI: Productivity with ChatGPT & Copilot 3 questions
    • ChatGPT in Testing and Automation 0:15:00
    • AI for Code & Testing 0:18:00
    • Amazon Lex 0:20:00
  7. Q&A guideAWS AI: AWS Computer Vision with Rekognition 3 questions
    • Introduction to Amazon Rekognition 0:20:00
    • Image & Video Analytics Using Rekognition 0:16:00
    • Amazon Rekognition 0:16:00
  8. Q&A guideAWS AI: NLP & Text Intelligence using Amazon Comprehend 4 questions
    • Enterprise NLP Fundamentals 0:19:00
    • Core Concepts of Amazon Comprehend 0:17:00
    • Text & Language Insights with Amazon Comprehend 0:16:00
    • Amazon Comprehend 0:19:00
  9. Q&A guideAWS AI: Document Intelligence using Amazon Textract 3 questions
    • Amazon Textract Fundamentals 0:20:00
    • Textract Document Analysis & Extraction 0:18:00
    • Amazon Textract 0:17:00
  10. Q&A guideAWS AI: Gen AI Platform with Amazon Bedrock 2 questions
    • Amazon Bedrock 0:18:00
    • Amazon Bedrock Essentials 0:15:00
  11. Q&A guideAWS AI: AI Search with Amazon Kendra 2 questions
    • Kendra Search Service 0:17:00
    • Amazon Kendra 0:16:00

Prerequisite

Who Can Join This Program?

Whether you're a developer looking to build AI applications on AWS or an experienced cloud professional aiming to master Generative AI, Amazon Bedrock, and SageMaker, this program is designed to accelerate your AI career.

Software Developers

Ideal for .NET, Java, Python, Node.js, JavaScript, and Full Stack developers who want to build AI-powered cloud applications.

Cloud Engineers & DevOps Professionals

Perfect for AWS Cloud Engineers, DevOps Engineers, and Solution Architects looking to integrate AI and Generative AI into cloud solutions.

AI & Machine Learning Professionals

Learn Amazon Bedrock, SageMaker, LLMs, RAG, Vector Search, and modern Generative AI techniques for production-ready AI applications.

Students & AI Career Switchers

Suitable for students and professionals who want to transition into AI, Machine Learning, Cloud AI, and Generative AI using AWS technologies.

OUR ALUMNI WORK AT

Trusted by learners whose careers now thrive at leading companies

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Live, expert-led classes mapped to your certification.

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Live Sessions 12
Skill Tests 6
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Live classes plus the complete self-paced library.

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Live Sessions 12
Videos 54+
Labs 20+
Q&A 46+
Notes 29+
Skill Tests 6
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Trusted by 2,00,000+ Thought Developers, Tech Leads and Architects

AWS AI Engineer Certification

The AWS Certified Generative AI Engineer – Professional certification validates your ability to design, build, and deploy Generative AI solutions using AWS services such as Amazon Bedrock, SageMaker, Amazon Kendra, and Comprehend. It demonstrates your expertise in working with Large Language Models (LLMs), embeddings, and AI-driven applications on the AWS platform.

This certification is ideal for professionals who work with AI and Gen AI on AWS, including:

  • AI Engineers
  • Machine Learning Engineers
  • Data Scientists
  • Developers and Solution Architects building GenAI applications using AWS services

Before taking this exam, it’s recommended that you have:

  • Hands-on experience with AWS AI/ML services (Amazon Bedrock, SageMaker, Comprehend, Kendra, Lex).
  • Knowledge of Python programming and RESTful API integration.
  • Understanding of AI, machine learning, and large language model (LLM) concepts.
  • Familiarity with prompt engineering, vector search, and RAG-based solutions.

The AWS Certified Generative AI Engineer – Professional exam costs USD 300. Exam pricing may vary based on your location. You can visit the official AWS Certification Page for the latest details.

This certification enhances your AI career with:

  • High-paying roles: $120,000 - $180,000 (US) and ₹18,00,000 - ₹35,00,000 (India).
  • Job opportunities with top organizations such as Amazon, NVIDIA, Microsoft, and Deloitte.
  • Recognition as an expert in Generative AI, LLMs, and applied AI solutions using AWS tools.
  • Advancement in AI solution design, cloud architecture, and innovation-driven roles across industries like finance, healthcare, and retail.
Verifiable Credential AWS AI Engineer Certification certificate

Course Mentors

Shailendra Chauhan
11X 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
Bhawna Gunwani

Bhawna Gunwani

Corporate Trainer

15+ Years Technical & Corporate Training
Expert in Microsoft Tech, React, Angular & Node
Global Training: TCS, Infosys, Accenture & More
Vishwanathan Narayanan (VNN)

Vishwanathan Narayanan (VNN)

Mentor & Solution Architect

20 Years Solution Architecture Excellence
Expert in Java, Spring Boot & AWS Cloud
Cloud-Native Microservices Architect
Shailendra Chauhan
11X 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
Bhawna Gunwani

Bhawna Gunwani

Corporate Trainer

15+ Years Technical & Corporate Training
Expert in Microsoft Tech, React, Angular & Node
Global Training: TCS, Infosys, Accenture & More
View Profile
Vishwanathan Narayanan (VNN)

Vishwanathan Narayanan (VNN)

Mentor & Solution Architect

20 Years Solution Architecture Excellence
Expert in Java, Spring Boot & AWS Cloud
Cloud-Native Microservices Architect
View Profile

Frequently Asked Questions

Q1. What is the Azure AI Cloud Sandbox?
The Azure AI Cloud Sandbox is a secure, isolated environment that lets you practice and experiment with Azure AI services without affecting production resources. It provides hands-on access to real Azure AI capabilities in a risk-free setup.
Q2. 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.
Q3. 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
Q4. 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.
Q5. 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.
Q6. 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.
Q7. 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.
Q8. 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.
Q9. 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.
Q10. 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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