Admission Open | Merit - Based Scholarship Available

Move Up. Into Cloud.

Launch your career with AWS Cloud Institute

Built by AWS. Powered by TalentSprint.

  • 4 Role-based learning tracks
  • No prior IT / Coding experience required
  • Part time
    Full time
    Weekend options
  • Career readiness and placement assistance

Know More

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Demand for cloud professionals is surging

AWS is powering the next generation of cloud professionals for businesses around the world.

  • "$12.7 billion investment in cloud infrastructure in India"
  • "357% increase in AWS customer base since 2020"
  • "131,700 full-time AWS jobs annually by 2030"

Structured tracks delivered by
AWS Certified instructors

  • 300 hours (avg.) of blended learning for each track

  • 10% Merit based scholarship for learners with 70%+ academic scores

  • Full-time pacing: 3 months
    Part-time pacing: 6 months
    Weekend pacing: 6 months

M1: Intro to Cloud Foundations

  • Introduction to Cloud Computing and AWS
  • Introduction to AWS AI and ML Services
  • Compute and Storage
  • Networking Fundamentals
  • AWS Identity and Access Management
  • AWS Storage and Database Services
  • Content Delivery
  • Serverless and Container Services
  • Security and Compliance in AWS
  • AWS Cost Management
  • AWS Support and Architecture Best Practices

M2: AWS Cloud Fundamentals 1

  • Compute 2
  • Networking 2
  • Storage 2
  • Databases 2
  • Security 2

M3: AWS Cloud Fundamentals 2

  • Security
  • Networking
  • Databases and Caching: Developing Modern Applications Using DynamoDB
  • Databases and Caching: Exploring DynamoDB Advanced Concepts
  • Databases and Caching: Caching on AWS
  • Compute: Using Amazon EC2 and AWS Lambda for applications
  • Compute: Practice with Container Computing
  • Architecting 2: Building Modern, Event-Driven Applications
  • Architecting 2: Batch and Real-Time Processing Architectures

M1: Intro to Cloud Foundations

  • Introduction to Cloud Computing and AWS
  • Introduction to AWS AI and ML Services
  • Compute and Storage
  • Networking Fundamentals
  • AWS Identity and Access Management
  • AWS Storage and Database Services
  • Content Delivery
  • Serverless and Container Services
  • Security and Compliance in AWS
  • AWS Cost Management
  • AWS Support and Architecture Best Practices

M2: Developer Fundamentals

  • Kickstart Your Python Journey with AI-Powered Coding
  • Python Programming: Control Flow and Repetitive Tasks
  • Working with Python Lists and Getting Started with APIs
  • Python Fundamentals: Dictionaries and Function
  • File Processing, Error Handling, and Image Analysis
  • Object-Oriented Programming
  • Version Control with Git and Remote Collaboration
  • Persistent Storage with Databases
  • Document Processing and Cloud Storage with Amazon S3 and Amazon Textract
  • Event Driven Applications

M3: AI for Developers

  • Fundamentals of AI & ML
  • Generative AI, FMs, and LLMs
  • Basic Prompt Engineering
  • Implementing AI-Powered Assistant for Business
  • Developing an AI Application with Amazon Bedrock API
  • Developing Generative AI Applications on AWS
  • Using Amazon Bedrock for Data Visualization and Analysis
  • Getting Started with Langchain
  • Applying Responsible AI
  • Governance, Compliance, and Security for Responsible AI

M1: Intro to Cloud Foundations

  • Introduction to Cloud Computing and AWS
  • Introduction to AWS AI and ML Services
  • Compute and Storage
  • Networking Fundamentals
  • AWS Identity and Access Management
  • AWS Storage and Database Services
  • Content Delivery
  • Serverless and Container Services
  • Security and Compliance in AWS
  • AWS Cost Management
  • AWS Support and Architecture Best Practices

M2: AWS Cloud Operations 1

  • Logging and Scaling
  • Security, Monitoring, and Compliance
  • Systems Management
  • Scripting
  • DevOps

M3: AWS Cloud Operations 2

  • Introduction to Linux
  • DevOps 2
  • Infrastructure as Code
  • Monitoring and Troubleshooting

M1: Developer Fundamentals

  • Kickstart Your Python Journey with AI-Powered Coding
  • Python Programming: Control Flow and Repetitive Tasks
  • Working with Python Lists and Getting Started with APIs
  • Python Fundamentals: Dictionaries and Function
  • File Processing, Error Handling, and Image Analysis
  • Object-Oriented Programming
  • Version Control with Git and Remote Collaboration
  • Persistent Storage with Databases
  • Document Processing and Cloud Storage with Amazon S3 and Amazon Textract
  • Event Driven Applications

M2: Developer Intermediate 1

  • Web Technologies and HTML Overview
  • Organizing and Styling HTML Pages
  • Building an Interactive HTML Page
  • Django Overview and Models
  • Django Views and Templates
  • Django Administration
  • AWS Elastic Beanstalk Python Support
  • Deploying a Django Web Application to AWS Elastic Beanstalk
  • Modern Application Architecture Overview
  • Microservice Data Storage Patterns
  • Microservice Deployment Patterns
  • Microservice Integration Patterns
  • Microservice Integration Patterns: AWS Step Functions
  • Serverless Application Deployment Frameworks

M3: Developer Intermediate 2

  • Capstone Project: Building and Deploying an Appointments Scheduler Application
  • Developing on AWS
  • Building the Pets Microservice
  • Building the Adoptions Microservice
  • Securing the Application
  • Adding a Reporting Microservice
  • Observability and Tracing
  • Using AWS Amplify Gen 2
  • AWS Amplify Hosting
  • Serverless in Practice - Building Real-World Solutions
  • Expanding Serverless Solution: Multi-Service Integrations

  • Introduction to Cloud Computing and AWS
  • Introduction to AWS AI and ML Services
  • Compute and Storage
  • Networking Fundamentals
  • AWS Identity and Access Management
  • AWS Storage and Database Services
  • Content Delivery
  • Serverless and Container Services
  • Security and Compliance in AWS
  • AWS Cost Management
  • AWS Support and Architecture Best Practices

  • Compute 2
  • Networking 2
  • Storage 2
  • Databases 2
  • Security 2

  • Security
  • Networking
  • Databases and Caching: Developing Modern Applications Using DynamoDB
  • Databases and Caching: Exploring DynamoDB Advanced Concepts
  • Databases and Caching: Caching on AWS
  • Compute: Using Amazon EC2 and AWS Lambda for applications
  • Compute: Practice with Container Computing
  • Architecting 2: Building Modern, Event-Driven Applications
  • Architecting 2: Batch and Real-Time Processing Architectures

  • Introduction to Cloud Computing and AWS
  • Introduction to AWS AI and ML Services
  • Compute and Storage
  • Networking Fundamentals
  • AWS Identity and Access Management
  • AWS Storage and Database Services
  • Content Delivery
  • Serverless and Container Services
  • Security and Compliance in AWS
  • AWS Cost Management
  • AWS Support and Architecture Best Practices

  • Kickstart Your Python Journey with AI-Powered Coding
  • Python Programming: Control Flow and Repetitive Tasks
  • Working with Python Lists and Getting Started with APIs
  • Python Fundamentals: Dictionaries and Function
  • File Processing, Error Handling, and Image Analysis
  • Object-Oriented Programming
  • Version Control with Git and Remote Collaboration
  • Persistent Storage with Databases
  • Document Processing and Cloud Storage with Amazon S3 and Amazon Textract
  • Event Driven Applications

  • Fundamentals of AI & ML
  • Generative AI, FMs, and LLMs
  • Basic Prompt Engineering
  • Implementing AI-Powered Assistant for Business
  • Developing an AI Application with Amazon Bedrock API
  • Developing Generative AI Applications on AWS
  • Using Amazon Bedrock for Data Visualization and Analysis
  • Getting Started with Langchain
  • Applying Responsible AI
  • Governance, Compliance, and Security for Responsible AI

  • Introduction to Cloud Computing and AWS
  • Introduction to AWS AI and ML Services
  • Compute and Storage
  • Networking Fundamentals
  • AWS Identity and Access Management
  • AWS Storage and Database Services
  • Content Delivery
  • Serverless and Container Services
  • Security and Compliance in AWS
  • AWS Cost Management
  • AWS Support and Architecture Best Practices

  • Logging and Scaling
  • Security, Monitoring, and Compliance
  • Systems Management
  • Scripting
  • DevOps

  • Introduction to Linux
  • DevOps 2
  • Infrastructure as Code
  • Monitoring and Troubleshooting

  • Kickstart Your Python Journey with AI-Powered Coding
  • Python Programming: Control Flow and Repetitive Tasks
  • Working with Python Lists and Getting Started with APIs
  • Python Fundamentals: Dictionaries and Function
  • File Processing, Error Handling, and Image Analysis
  • Object-Oriented Programming
  • Version Control with Git and Remote Collaboration
  • Persistent Storage with Databases
  • Document Processing and Cloud Storage with Amazon S3 and Amazon Textract
  • Event Driven Applications

  • Web Technologies and HTML Overview
  • Organizing and Styling HTML Pages
  • Building an Interactive HTML Page
  • Django Overview and Models
  • Django Views and Templates
  • Django Administration
  • AWS Elastic Beanstalk Python Support
  • Deploying a Django Web Application to AWS Elastic Beanstalk
  • Modern Application Architecture Overview
  • Microservice Data Storage Patterns
  • Microservice Deployment Patterns
  • Microservice Integration Patterns
  • Microservice Integration Patterns: AWS Step Functions
  • Serverless Application Deployment Frameworks

  • Capstone Project: Building and Deploying an Appointments Scheduler Application
  • Developing on AWS
  • Building the Pets Microservice
  • Building the Adoptions Microservice
  • Securing the Application
  • Adding a Reporting Microservice
  • Observability and Tracing
  • Using AWS Amplify Gen 2
  • AWS Amplify Hosting
  • Serverless in Practice - Building Real-World Solutions
  • Expanding Serverless Solution: Multi-Service Integrations

Start Your Cloud Journey

Fee is inclusive of AWS certification vouchers, lab infrastructure, self-paced content and
instructor-led training. GST Extra.

Top Companies Hiring Certified AWS Cloud Professionals

Get a Certificate of Completion from
AWS Cloud Institute

Why AWS Cloud Institute?

Built by AWS. Powered by TalentSprint.

  • Role-based,
    job-ready training

    Choose your track, complete training with
    hands-on labs, and earn industry-recognized AWS certifications.

  • Structured path to a cloud career

    A guided journey with
    on-demand content, live sessions, and expert mentoring to launch a cloud career.

  • Build real-world skills

    Practical learning through hands-on experience and guided learning that mirrors industry needs.

  • Career readiness coaching

    Get expert guidance on interview preparation and personalized coaching to fast-track job readiness.

Comprehensive training format for
high impact outcomes

Job-ready training designed to create impact from day one

  • Instructor led Direct engagement to build
    deep expertise
  • Experiential learning Real-world curriculum with
    hands-on training
  • Peer learning Cohort-based and
    group projects
  • Corporate readiness Transition into an in-demand
    cloud professional
  • Mentoring Build confidence and
    tech career readiness
  • Career services Interview prep, placement support,
    job fairs

TalentSprint is the exclusive delivery partner for Amazon Cloud Institute in India

Ideal for

  • Final-year college students who want job-ready skills
  • Freshers looking for their first tech job
  • Early IT professionals who want to grow in their career
  • Non-tech professionals wanting to switch to tech

no-coding-sticker

Fast-track your career in cloud

In 3 simple steps

Step 1

Begin your AWS cloud journey


81211 31919

Step 2

300 hours of blended training

  • Full time: 3 months
  • Part time: 6 months
  • Weekend: 6 months
  • Earn completion certificate

Step 3

Job readiness

  • Get free certification exam voucher
  • Earn badges
  • Access job opportunities

Earn industry-recognized AWS Certifications
with each track

  • Recommended for Cloud Core Track
  • Recommended for AI for Developers Track
  • Recommended for Cloud Operations Track
  • Recommended for Cloud Developer Track

Frequently Asked Questions

The program is best suited for college students, freshers, non-tech and early IT professionals, there are structured tracks designed to get you ready for a cloud career.

Learners may pursue role specific paths including:

  • Cloud Developer
  • AI for Developers
  • Cloud Operations
  • Cloud Core

No prior tech experience is necessary. Participants must be 18+ with a high school diploma or equivalent.

A laptop or desktop with a stable internet connection and a supported modern browser is required.

Yes. Many organizations offer learning support or reimbursements through HR or L&D teams.

The program has three learning paces:

  • Full-time pacing: 3 months
  • Part-time pacing: 6 months
  • Weekend pacing: 6 months

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