AWS Certified Cloud Practitioner

AWS Certified Cloud Practitioner

  • Understand AI Fundamentals
  • Identify Business Opportunities
  • Plan & Execute Projects
  • Evaluate Impact & Ethics

60 Hours

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Beginner level

No Prior Knowledge Required

Flexible Learning

Available in Online, Offline, and
Hybrid Modes

60 Hours

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Program Overview

The AWS Certified Cloud Practitioner certification is designed for individuals seeking foundational knowledge of AWS Cloud services and cloud computing concepts. Ideal for those with no prior IT or cloud experience, this certification serves as an entry point into the cloud domain, enhancing cloud literacy for professionals in various business roles.

Key Features

Duration: Flexible (self-paced learning)

Format: Online (self-paced courses, practice exams)

Credential: AWS Certified Cloud Practitioner (valid for 3 years)

Cost: $100 USD (approximately ₹8,000)

Exam Mode: Available at Pearson VUE testing centers or online proctored exams

Validity: Certification is valid for 3 years; recertification options available

Skills Covered

  • AI Fundamentals: Understanding the basics of generative AI and its applications
  • Content Generation: Creating text, images, and videos using AI tools
  • Automation: Streamlining content creation processes with AI
  • Personalization: Tailoring content to specific audiences using AI insights
  • Ethical Considerations: Understanding the ethical implications of using AI in content creation
Next Cohort Countdown

Course Curriculum

Introduction to AWS & Cloud Computing
Module 1 • 10 hour to complete
• Course Orientation & Resources
• Creating and Securing an AWS Account
• Troubleshooting Common Setup Issues
• What is Cloud Computing?
• Types of Cloud Models: IaaS, PaaS, SaaS
• AWS Global Infrastructure (Regions, AZs, Edge Locations)
• Shared Responsibility Model & AWS Acceptable Use Policy
• Quiz: Cloud Fundamentals
Identity, Security & Access Management
Module 2 • 10 hour to complete
• IAM Overview: Users, Groups, Policies, and Roles
• Setting Up IAM Users & Groups (Hands-on)
• IAM Policies & Best Practices
• Multi-Factor Authentication (MFA) and Security Tools
• AWS CLI & CloudShell Basics
• IAM Access Analyzer & Monitoring Tools
• AWS Organizations & Identity Federation Basics
• Quiz: IAM & Security Fundamentals
Compute on AWS
Module 3 • 10 hour to complete
• Introduction to Compute Services
• EC2 Basics and Launching Instances (Hands-on)
• Instance Types, Pricing Options & Shared Responsibility Model
• Security Groups and Key Pairs (Hands-on)
• Elastic Load Balancing (ELB) & Auto Scaling Basics
• AWS Lambda: Serverless Compute Overview & Demo
• Amazon Lightsail for Simple Deployments
• Quiz: AWS Compute Services
Storage & Content Delivery
Module 4 • 10 hour to complete
• Amazon S3: Buckets, Objects & Core Concepts
• Securing S3: Policies, Versioning, Encryption
• Lifecycle Rules & Cross-Region Replication
• AWS Snow Family & Storage Gateway Use Cases
• Elastic Block Store (EBS) & Snapshots
• Elastic File System (EFS) & FSx Overview
• Content Delivery with Amazon CloudFront
• Quiz: Storage & Content Delivery
Databases & Analytics Essentials
Module 5 • 10 hour to complete
• Relational Databases: RDS & Aurora
• Key-Value & NoSQL: DynamoDB & Global Tables
• In-Memory Caching: ElastiCache
• Analytics & Querying: Athena, Redshift, QuickSight
• Data Processing Tools: EMR, Glue, and DMS
• Use Cases for DocumentDB, Neptune, and Timestream
• Quiz: Databases & Analytics
Networking & Global Infrastructure
Module 6 • 10 hour to complete
• Virtual Private Cloud (VPC) Fundamentals
• Subnets, Route Tables, and Gateways
• Network Security: NACLs and Security Groups
• Hybrid Connectivity: Direct Connect & VPN
• Edge Networking with CloudFront & Route 53
• Quiz: AWS Networking Basics
Monitoring, Governance & Cost Management
Module 7 • 10 hour to complete
• Amazon CloudWatch: Metrics, Logs, Alarms
• Distributed Tracing with AWS X-Ray
• AWS Config & CloudTrail for Governance and Compliance
• Cost Management: AWS Budgets, Cost Explorer & Trusted Advisor
• AWS Support Plans Overview
• Quiz: Monitoring, Governance & Costing
Application Integration & Messaging
Module 8 • 10 hour to complete
• Simple Queue Service (SQS) Basics
• Simple Notification Service (SNS) Overview
• Event-Driven Architectures with EventBridge
• API Gateway: Concepts & Use Cases
• AWS Step Functions Basics
• Quiz: Application Integration
Exam Readiness & Practice
Module 9 • 10 hour to complete
• AWS Well-Architected Framework Overview
• Review of Core AWS Services & Terminology
• Common Exam Traps and Tips
• Practice Exam Walkthrough (Sample Questions)
• Exam Registration Guidance & Certification Pathways

Tools & Technologies

Completion Certificate

Master in NextGen AI & Data Science Certificate

Job Role

Training Option

Ready to shape your future?

Enroll Now or Talk to Our Experts: 07948221005

Why Join this Program

Earn a job

Receive complete job assistance tailored to your career goals. Get expert placement guidance to confidently step into the industry.

Leverage knowledge from industry experts

Learn directly from seasoned Trainers and Gain real-world insights that go beyond textbooks.

Industry-relevant Tools & Practical Learning

Get hands-on experience with the latest tools used by top companies. Hands-on learning through 200+ exercises and 10+ projects with seamless access to integrated labs.

Structured, industry-vetted curriculum

A curriculum shaped by experts to meet evolving industry demands. Structured learning ensures you're career-ready from day one.

Integrated with Gen AI Modules

The curriculum includes cutting-edge Generative AI modules designed to align with emerging tech trends.

Interview preparation & Placement assistance

Sharpen your interview skills with practical training and expert guidance. Receive complete placement support to connect with top recruiters.

FAQ

Basic Python is enough; we cover everything from scratch.
No — this course teaches ML fundamentals too.
Absolutely — this is designed for career transition.
You’ll need to put in extra effort, but many succeed.
Yes — the curriculum includes real-world LLM integration.
Yes — including techniques used by AI professionals.
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