AWS Cloud Practitioner Certification Training in Gurgaon
Master AWS Cloud and get prepared for AWS official certifications with our role based courses tailored to your specific needs
- Enroll for Cloud Architecture, Developer, Operations, DevOps, AI / ML, Networking and Security Certifications
- Experience blended learning through interactive offline and online sessions.
- Job Assured Course
- Course Duration - 2 months
- Get Trained from Industry Experts
Train using realtime course materials using online portals & trainer experience to get a personalized teaching experience.
Active interaction in sessions guided by leading professionals from the industry
Gain professionals insights through leading industry experts across domains
Enhance your career with 42+ in-demand skills and 20+ services
AWS Cloud Practitioner Certification Overview
This AWS live-learning courses cover deep into designing, developing, deploying, and managing scalable solutions and infrastructure across AWS platforms, equipping you for success in today’s fast-evolving technology landscape
- Benefit from ongoing access to all self-paced videos and archived session recordings
- Success Aimers supports you in gaining visibility among leading employers
- Get prepared for 10+ AWS official certifications with our role based courses tailored to your specific needs
- Engage with real-world capstone projects
- Engage in live virtual classes led by industry experts, complemented by hands-on projects
- Learn 42+ In-Demand Skills & 20+ Services
- Job interview rehearsal sessions
Basic, high-level knowledge of AWS Cloud services and terminology. Ideal starting point for AWS Certification for those with no prior IT/cloud experience transitioning to cloud careers, or business professionals seeking foundational cloud literacy
Familiarity with artificial intelligence (AI), machine learning (ML), and generative AI fundamentals and real-world applications
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What is AWS Cloud Practitioner ?
AWS Certified Cloud Practitioner are essential for driving AI innovation in software development and testing. They manage the full deployment lifecycle—deploying apps, building and maintaining pipelines for web applications and K8s workflows, and automating development and testing processes. By streamlining workflows and resolving challenges in webapp deployment on cloud, and maintenance, they help organizations deliver reliable, high-performance applications faster and more efficiently.
The role of AWS Cloud Practitioner?
AWS Certified Cloud Engineers in software development and testing oversees the end-to-end lifecycle of web applications, from development to deployment and system performance optimization. Key responsibilities include:
Exploring Emerging Technologies: Leveraging Cloud technologies, Cloud networking, and security techniques to enhance efficiency and streamline deployment workflows.
Scalable AI Development: Designing and implementing web applications that address critical business needs.
Seamless Deployment: Coordinating web deployment with infrastructure management for smooth delivery.
Workflow Optimization: Creating, analyzing, and refining automation scripts and deployment workflows to maximize productivity.
For professionals aspiring to excel in this field, the Success Aimers AWS Certified Cloud Engineers Course provides hands-on training to master these skills. The program equips you to confidently manage deployment lifecycles, deployment pipelines, automation, and deployment processes, positioning you as a high-impact AWS Certified Cloud Engineers engineer in software development and testing.”**
Who should take this AWS Certified Cloud Engineers course?
The AWS Certified Cloud Engineer Course is tailored for professionals aiming to accelerate their careers in Cloud, data, and technology-driven sectors. It is particularly valuable for roles including:
Cloud Team Leaders
Software and DevOps Developers
Cloud Engineers and IT Managers
Cloud & Infrastructure Engineers
Cloud Researchers and Application Engineers
This program equips participants with the skills to lead DevOps & infrastructure initiatives, implement advanced deployment workflows, and drive innovation in software development and testing.
What are the prerequisites of AWS Certified Cloud Engineer Course?
Prerequisites for the AWS Certified Cloud Engineer Certification Course”
To ensure a seamless learning experience, candidates are expected to have:
Educational Background:Â An undergraduate degree or high school diploma in a relevant field.
Technical Foundation: Knowledge of IT, software development, or data science fundamentals.
Programming Skills:Â Basic proficiency in languages such as Python or JavaScript.
Cloud Familiarity:Â Experience with cloud platforms like AWS or Microsoft Azure.
Meeting these prerequisites enables learners to effectively grasp advanced Cloud concepts, including DevOps tool, pipeline workflows, Webapp deployment, and automation throughout the course.
What are the prerequisites of AWS Certified Cloud Engineer Course?
- AWS Certified Cloud Engineer
- SRE Reliability Engineer
- Cloud Solutions Release Manager
- Infrastructure/Cloud Automation Engineer
- Cloud Engineer / Cloud Architect
- Cloud Infrastructure Engineer
- Cloud Deployment Engineer
| Training Options | Weekdays (Mon-Fri) | Weekends (Sat-Sun) | Fast Track |
|---|---|---|---|
| Duration of Course | 2 months | 3 months | 15 days |
| Hours / day | 1-2 hours | 2-3 hours | 5 hours |
| Mode of Training | Offline / Online | Offline / Online | Offline / Online |
AWS Cloud Practitioner Certification Course Overview
This AWS Cloud Certification training enhances your career after chosing the relevant certification path based on the roles. You can practice with hands-on labs and capstone projects and gain proficiency with AWS tools. After completion of the course, you can leverage Job assistance services and enhance career prospects.
Below are the leading cloud career roles and the corresponding AWS certification path. You can choose the role(s) that progress your AWS certification journey toward your goals. These learning paths are recommendations, not requirements.
AWS Practitioner - Foundational
AWS Cloud Practitioner Certification Course (CLF-C02)
Getting started with AWS
- AWS Cloud Overview – Regions & AZ
- Tour to the AWS Console & Services in AWS
What is Cloud Computing?
- Traditional IT Overview
- What is Cloud Computing?
- Different Types of Cloud Computing
- AWS Cloud Overview
- Tour of the Console & Services in AWS
- Shared Responsibility Model & AWS Acceptable
IAM & AWS CLI
- IAM Introduction: Users, Groups, Policies
- IAM Policies
- IAM MFA (Multi Factor Authentication) Overview
- AWS Access Keys, CLI & SDK
- AWS Cloud Shell: Region Availability
- IAM Roles for AWS Services
- IAM Security Tools
- IAM Best Practices
EC2 Fundamentals - Elastic Compute Cloud
- AWS Budget Setup
- EC2 Basics
- Create an EC2 Instance with EC2 User Data to have a website hands on
- EC2 Instance Types Basics
- Security Groups & Classic Ports Overview
- SSH Overview
- EC2 Instance Connect
- EC2 Instance Roles
- Spot Instances & Spot Fleet
- EC2 Instance Purchasing Options
EC2 Instance Storage
- EBS Overview
- EBS Snapshots
- AMI Overview
- EC2 Image Builder Overview
- EC2 Instance Store
- EBS Volume Types
- EBS Multi Attach
- EBS Encryption
- Amazon EFS
- EFS Vs EBS
- Amazon FSx Overview
High Availability and Scalability: ELB & ASG
- High Availability and Scalability
- Elastic Load Balancing (ELB) Overview
- Classic Load Balancer (CLB)
- Application Load Balancer (ALB)
- Network Load Balancer (NLB)
- Gateway Load Balancer (GWLB)
- Elastic Load Balancer - Sticky Sessions
- Elastic Load Balancer - Cross Zone Load Balancing
- Elastic Load Balancer – SSL Certificates
- Elastic Load Balancer - Connection Draining
- Auto Scaling Groups – Overview
- Auto Scaling Groups - Scaling Policies
Amazon S3
- S3 Overview
- S3 Security: Bucket Policy
- S3 Website Overview
- S3 Versioning Overview
- S3 Replication Overview
- S3 Storage Classes Overview
- S3 Express One Zone
- S3 Encryption
- IAM Access Analyzer for S3
- Shared Responsibility Model for S3
- AWS Snow Family Overview
- AWS Snowball Edge - Pricing
- Storage Gateway Overview
Databases & Analytics
- Databases Introduction
- RDS & Aurora Overview
- RDS Deployments Options
- ElasticCache Overview
- DynamoDB Overview
- DynamoDB Global Tables
- Redshift Overview
- EMR Overview
- Athena Overview
- Quicksight Overview
- Document DB Overview
- Neptune Overview
- Timestream Overview
- Managed Blockchain Overview
- GLUE Overview
- DMS Overview
- Databases & Analytics Summary
Other Compute Services: ECS, Lambda, Batch, Lightsail
- What is Docker?
- ECS, Fargate & ECR Overview
- Amazon EKS
- Serverless Introduction
- Lambda Overview
- API Gateway Overview
- Batch Overview
- Lightsail Overview
- Other Compute Services
Deployments & Managing Infrastructure as Scale
- CloudFormation Overview
- CDK Overview
- Beanstalk Overview
- CodeDeploy Overview
- CodeCommit Overview
- CodeBuild Overview
- CodePipeline Overview
- CodeArtificat Overview
- Systems Manager (SSM) Overview
- SSM Session Manager
- SSM Parameter Store
- Deployment Summary
Leveraging the AWS Global Infrastructure
- Why Global Applications?
- Route 53 Overview
- CloudFront Overview
- S3 Transfer Acceleration
- AWS Global Accelerator
- AWS Outposts
- AWS Wavelength
- AWS Local Zones
- Global Applications Architecture
- Leveraging the AWS Global Infrastructure Summary
Cloud Integrations
- Cloud Integrations Overview
- SQS Overview
- Kinesis Overview
- SNS Overview
- Amazon MQ Overview
- Cloud Integrations Summary
Cloud Monitoring
- Cloudwatch Metrics & CloudWatch Alarms
- Cloudwatch Logs Overview
- EventBridge Overview (formerly Cloudwatch Events)
- CloudTrail Overview
- X-Ray Overview
- CodeGuru Overview
- AWS Health Dashboard
- Cloud Monitoring Summary
Networking - VPC
- VPC Overview
- IP Addresses in AWS
- VPC, Subnet, Internet Gateway & NAT Gateways
- Security Groups & Network Access Control List (NACL)
- VPC Flow Logs & VPC Peering
- VPC Endpoints – Interface & Gateway (S3 & DynamoDB)
- Private Link
- Direct Connect & Site-to-Site VPN
- Client VPN
- Transit Gateway Overview
- VPC & Networking Summary
Security & Compliance
- Shared Responsibility Model: Reminders & Examples
- DDoS Protection: WAF & Shield
- AWS Network Firewall
- AWS Firewall Manager
- Penetration Testing
- Encryption with KMS & CloudHSM
- AWS Certificate Manager (ACM) Overview
- Secrets Manager Overview
- Artifact Overview
- Guard Duty Overview
- Inspector Overview
- Config Overview
- Macie Overview
- Security Hub Overview
- Amazon Detective Overview
- AWS Abuse
- Root User Privileges
- IAM Access Analyzer
- Security & Compliance Summary
Machine Learning
- Rekognition Overview
- Transcribe Overview
- Polly Overview
- Translate Overview
- Lex + Connect Overview
- Comprehend Overview
- Comprehend Medical Overview
- SageMaker AI Overview
- Forecast Overview
- Kendra Overview
- Personalize Overview
- Textract Overview
- Machine Learning Summary
Account Management, Billing & Support
- Organizations Overview
- Organizations Consolidated Billing
- AWS Control Tower Overview
- AWS Resource Access Manager (AWS RAM)
- AWS Service Catalog - Overview
- Pricing Models of the Cloud
- Savings Plan Overview
- Compute Optimizer Overview
- Billing & Costing Tools Overview
- Estimating Costs in the Cloud - Pricing Calculator
- Tracking Costs in the Cloud - Billing Dashboard, Cost Allocation Tags, Reports
- Monitoring Costs in the Cloud - Billing Alarms & AWS Budgets
- AWS Cost Anomaly Detection
- AWS Service Quotas
- AWS Trusted Advisor
- Support Plans for AWS
- Account Best Practices Summary
- Billing Summary
Advanced Identity
- Security Token Service (STS) Overview
- Cognito Overview
- Directory Services Overview
- AWS IAM Identity Center
- Advanced Identity - Summary
Other Services
- Other Services - Section Intro
- WorkSpaces Overview
- AppStream 2.0 Overview
- IoT Core Overview
- AppSync
- Amplify
- AWS Infrastructure Composer
- Device Farm Overview
- AWS Backup Overview
- Disaster Recovery Strategies
- AWS Elastic Disaster Recovery (DRS)
- AWS DataSync
- Cloud Migration Strategies - The 7Rs
- Application Discovery Service & Application Migration Service
- AWS Migration Evaluator
- AWS Migration Hub
- AWS Fault Injection Simulator (FIS)
- Step Functions
- Ground Station
- AWS Pinpoint
AWS Architecting Ecosystem
- AWS Whitepapers Well-Architected Framework
- Pillar 1: Operational Excellence
- Pillar 2: Security
- Pillar 3: Reliability
- Pillar 4: Performance Efficiency
- Pillar 5: Cost Optimization
- Pillar 6: Sustainability
- AWS Well-Architected Tool
- AWS Customer Carbon Footprint Tool
- AWS Cloud Adoption Framework (CAF)
- Right Sizing
- AWS Ecosystem
- AWS IQ & re:Post
- AWS Knowledge Center
- AWS Managed Services
AWS AI Practitioner Certification Course (AIF-C01)
Artificial Intelligence & Introduction
- What is Artificial Intelligence (AI)?
Introduction to AWS & Cloud Computing
- Introduction
- Traditional IT – Overview
- What is Cloud Computing?
- The Different Types of Cloud Computing
- AWS Cloud Overview
- Creating an AWS Account
- AWS Account Activation Troubleshooting
- [Important] AWS Console UI Update
- Tour of the Console & Services in AWS
- Shared Responsibility Model & AWS Acceptable Policy
Amazon Bedrock and Generative AI (Gen AI)
- What is Generative AI (GenAI)?
- Amazon Bedrock – Overview
- Amazon Bedrock - Foundation Model (FM)
- Amazon Bedrock - Fine-Tuning a Model
- Amazon Bedrock - FM Evaluation
- Amazon Bedrock - RAG & Knowledge Base
- Amazon Bedrock - RAG & Knowledge Base - Complete Setup - Hands On
- More GenAI Concepts
- Amazon Bedrock – Guardrails
- Amazon Bedrock – Agents
- Amazon Bedrock - CloudWatch Integration
- Amazon Bedrock – Pricing
- Amazon Bedrock - AI Stylist - Hands On
Prompt Engineering
- What is Prompt Engineering?
- Prompt Engineering - Hands On
- Prompt Performance Optimization
- Prompt Engineering Techniques
- Prompt Templates
Amazon Q – Deep Dive
- Amazon Q Business
- Amazon Q Apps
- Amazon Q Developer
- Amazon Q for AWS Services
- PartyRock
Artificial Intelligence (AI) & Machine Learning
- AI, ML, Deep Learning, and GenAI
- ML Terms You May Encounter in the Exam
- Training Data
- Supervised Learning
- Unsupervised Learning
- Self-Supervised Learning
- Reinforcement Learning
- RLHF - Reinforcement Learning from Human Feedback
- Model Fit, Bias, and Variance
- Model Evaluation Metrics
- Machine Learning - Inferencing
- Phases of a Machine Learning Project
- Hyperparameters
- When is ML not appropriate?
AWS Managed AI Services
- Why AWS Managed Services?
- Amazon Comprehend
- Amazon Translate
- Amazon Transcribe
- Amazon Polly
- Amazon Rekognition
- Amazon Lex
- Amazon Personalize
- Amazon Textract
- Amazon Kendra
- Amazon Mechanical Turk
- Amazon Augmented AI
- Amazon Comprehend Medical & Transcribe Medical
- Amazon's Hardware for AI
Amazon SageMaker - Deep Dive
- Amazon SageMaker AI – Overview
- Amazon SageMaker - Data Tools
- Amazon SageMaker - Models and Humans
- Amazon SageMaker – Governance
- Amazon SageMaker – Consoles
- Amazon SageMaker – Summary
- Amazon SageMaker - Extra Features
AI Challenges and Responsibilities
- AI Challenges and Responsibilities - Overview
- Responsible AI
- GenAI Challenges
- Compliance for AI
- Governance for AI
- Security and Privacy for AI
- GenAI Security Scoping Matrix
- MLOps
AWS Security Services & More
- IAM Introduction: Users, Groups, Policies
- IAM Users & Groups - Hands On
- AWS Console Simultaneous Sign-in
- IAM Policies
- IAM Roles
- Amazon S3
- Amazon S3 - Storage Classes
- Amazon EC2
- Create an EC2 Instance with EC2 User Data to have a Website - Hands On
- AWS Lambda
- Amazon Macie
- AWS Config
- Amazon Inspector
- AWS CloudTrail
- AWS Artifact
- AWS Audit Manager
- AWS Trusted Advisor
- VPC & Network Security
- AWS Security Services - Summary
- Scenarios for Security
Deployment a microservices app through a CI/CD pipeline with Jenkins K8s & Terraform artifacts.
Project Description : Applications contain 20+ microservices that will be packaged into containers & pushed it to Container Registry (AWS ECR & Azure Container Registry) automatically through the CI/CD pipeline integrates with Terraform scripts that will snip the infrastructure at runtime & also helped the apps to be deployed into higher environments (UAT, Stage & above).
Also Terraform manages the end-to-end Infrastructure deployment life cycle using Terraform workflow and IaC templates.
Automated Ingestion Framework Pipeline (Data MESH on AWS)
The whole Data MESH pipeline will be automated through Jenkins & Terraform where in it deploys the AWS components like S3, Lambda, Step Functions, SQS & Iceberg tables into AWS before triggering the data flow through the pipeline. Data will be extracted from the source like contact centers & others & this whole pipeline is realtime pipeline that triggers whenever data arrives from the source into Kafka using Kafka source and sink connecters that triggers the deployment process.
Hours of content
Live Sessions
Software Tools
After completion of this training program you will be able to launch your carrer in the world of AI being certified as AWS Certified Cloud Practitioner CLF-C02 2025 & AWS Certified AI Practitioner (AIF-C01)) Certification Course.
With the AWS Certified Cloud Practitioner CLF-C02 2025 & AWS Certified AI Practitioner (AIF-C01)) Certification Course in-hand you can boost your profile on Linked, Meta, Twitter & other platform to boost your visibility
- Get your certificate upon successful completion of the course.
- Certificates for each course
- AWS
- AWS Polly
- AWS Comprehend
- AWS Comprehend Medical
- AWS Inspector
- AWS Lambda
- AWS S3
- AWS RDS
- AWS SageMaker
- AWS Bedrock
- AWS SQS
- AWS GLUE
- AWS Step Functions
- AWS EC2

45% - 100%

Designed to provide guidance on current interview practices, personality development, soft skills enhancement, and HR-related questions

Receive expert assistance from our placement team to craft your resume and optimize your Job Profile. Learn effective strategies to capture the attention of HR professionals and maximize your chances of getting shortlisted.

Engage in mock interview sessions led by our industry experts to receive continuous, detailed feedback along with a customized improvement plan. Our dedicated support will help refine your skills until your desired job in the industry.

Join interactive sessions with industry professionals to understand the key skills companies seek. Practice solving interview question worksheets designed to improve your readiness and boost your chances of success in interviews

Build meaningful relationships with key decision-makers and open doors to exciting job prospects in Product and Service based partner

Your path to job placement starts immediately after you finish the course with guaranteed interview calls
Why should you choose to pursue a AWS Certified Cloud Practitioner CLF-C02 2025 & AWS Certified AI Practitioner (AIF-C01)) Certification Course with Success Aimers?
Success Aimers teaching strategy follow a methodology where in we believe in realtime job scenarios that covers industry use-cases & this will help in building the carrer in the field of AWS & also delivers training with help of leading industry experts that helps students to confidently answers questions confidently & excel projects as well while working in a real-world
What is the time frame to become competent as a AWS Engineer?
To become a successful AWS Engineer required 1-2 years of consistent learning with dedicated 3-4 hours on daily basis.
But with Success Aimers with the help of leading industry experts & specialized trainers you able to achieve that degree of mastery in 6 months or one year or so and it’s because our curriculum & labs we had formed with hands-on projects.
Will skipping a session prevent me from completing the course?
Missing a live session doesn’t impact your training because we have the live recorded session that’s students can refer later.
What industries lead in AWS implementation?
Manufacturing
Financial Services
Healthcare
E-commerce
Telecommunications
BFSI (Banking, Finance & Insurance)
“Travel Industry
Does Success Aimers offer corporate training solutions?
At Success Aimers, we have tied up with 500 + Corporate Partners to support their talent development through online training. Our corporate training programme delivers training based on industry use-cases & focused on ever-evolving tech space.
How is the Success Aimers AWS Certified Solution Architect Associate & Professional (SAA -C03 & SAP -C02) Certification Course reviewed by learners?
Our AWS Cloud Engineer Course features a well-designed curriculum frameworks focused on delivering training based on industry needs & aligned on ever-changing evolving needs of today’s workforce due to Cloud Computing (AWS)
Also our training curriculum has been reviewed by alumi & praises the thorough content & real along practical use-cases that we covered during the training. Our program helps working professionals to upgrade their skills & help them grow further in their roles…
Can I attend a demo session before I enroll?
Yes, we offer one-to-one discussion before the training and also schedule one demo session to have a gist of trainer teaching style & also the students have questions around training programme placements & job growth after training completion.
What batch size do you consider for the course?
On an average we keep 5-10 students in a batch to have a interactive session & this way trainer can focus on each individual instead of having a large group
Do you offer learning content as part of the program?
Students are provided with training content wherein the trainer share the Code Snippets, PPT Materials along with recordings of all the batches
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