AWS Certified Cloud Practitioner 2025 [CLF-C02][NEW] | Udemy

This isn’t just another AWS course. Even though it’s a foundational course, I strongly believe that “A strong technical foundation is the key to a successful AWS career and you must build it right ”

With this belief, I have built this course from the ground up, drawing from a decade of AWS expertise and 20 years in IT.    So get ready to immerse yourself fully into this course..

~Chetan

About this course:

• This is not just any other AWS Certification course, this course provides everything you need to know as a techie.
• We are going to cover even the most basics such as What is VM? What is container? How HTTPS work? How DNS works?  What is object storage? What is Generative AI? and many more such topics. Hence look this as a comprehensive course beyond the AWS.
• This course provides you everything to pass your AWS Certified Cloud Practitioner exam (CLF-C02)
• This course provides the hands-on experience to get started with AWS.
• No prior IT or Cloud experience required. This course can be taken by absolutely beginners.

Course topics:

• AWS Cloud – A big picture
• Cloud Concepts
• AWS Global Infrastructure – Regions, AZ, Edge locations, Local Zones, Wavelegth zones
• AWS Identity and Access Management (IAM)
• Amazon EC2
• Containers on AWS – ECS, EKS
• AWS Serverless – AWS Lambda & Fargate
• Load Balancing and Autoscaling – Application Load Balancer (ALB) and Autoscaling Group (ASG)
• DNS and Edge Networking – Route53, Amazon CloudFront, Global Accelerator
• Storage Services – Amazon S3, Elastic Block Storage (EBS), EFS/FSx
• Databases in AWS – RDS, DynamoDB, DocumentDB, Neptune etc.
• Big data and Analytics in AWS – Amazon Glue, EMR, Athena, Redshift
• Networking in AWS – Virtual Private Cloud (VPC), VPN, DirectConnect
• Application Integration services – API gateway, AppSync, SNS, SQS, MQ
• Infrastructure deployment – Amazon CloudFormation, CDK
• DevOps in AWS – CodeBuild, CodeDeploy, CodePipeline, ElasticBeanstalk
• Infrastructure Management – AWS Systems Manager, AWS Config
• Monitoring & Logging – Amazon CloudWatch, Amazon CloudTrail, X-Ray
• Machine learning in AWS – Amazon SageMaker, AI Services (Rekognition, Transcribe, Polly, Translate etc.)
• Generative AI in AWS – Amazon Bedrock and Amazon Q
• Security in AWS – AWS KMS, WAF, Shield, Secrets Manager, Inspector etc.
• AWS Account Management – AWS Organization, AWS Control Tower, RAM
• AWS Billing – AWS Calculator, AWS Cost Explorer
• AWS Support
• AWS Well-Architected Framework and AWS Cloud Adoption Framework
• AWS Shared responsibility model
• Additional AWS Services – AWS IoT, Migration services, License manager etc.
• Exam prepartion tips
• Full Practice Test (65 questions)

Pre-requistes:

• You will need an AWS account for performing all the labs. Instructions for creating an AWS account and configuring it are provided in the Course pre-requisite section.