AWS Cloud Practitioner CLF-C02 Exam Training

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Explore the foundations of AWS Cloud and core infrastructure in this comprehensive course designed to set you on the path to AWS certification. You'll learn essential cloud concepts, AWS services like EC2, S3, and IAM, and how to manage security, networking, and compute resources effectively. The hands-on labs in this course allow you to gain real-world experience, from securing your AWS account with MFA to launching EC2 instances and deploying web apps with Lambda. The journey begins with an introduction to cloud computing and its advantages, before diving into AWS-specific services, tools, and security features. You’ll progress to key infrastructure services like storage, networking, and compute resources, understanding their role in building scalable and secure cloud architectures. By the end, you’ll have the practical skills to manage and configure AWS resources and ensure the security of your AWS environment. This course is ideal for beginners seeking to learn cloud computing fundamentals or professionals aiming to achieve the AWS Certified Cloud Practitioner credential. There are no formal prerequisites, though basic IT knowledge is helpful. The course is designed for those at the beginner level, with no prior AWS experience required. By the end of the course, you will be able to create and manage AWS accounts, implement IAM security practices, launch EC2 instances, configure S3 storage, set up VPCs, and optimize your AWS resources for efficiency and cost-effectiveness.

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. In this course, you'll dive into AWS's powerful data services and tools for modern workloads. Starting with Amazon RDS, you'll explore how to set up and manage relational databases on AWS. You'll also gain an understanding of advanced AWS database solutions, such as Aurora, DynamoDB, Redshift, and ElastiCache. Each of these services is tailored to different use cases, allowing you to choose the right database solution for your applications. Next, the course covers AWS Route 53 for DNS and domain management, enabling you to ensure high availability and failover capabilities for your websites and services. You will also explore Application Integration Services, including SNS, MQ, SQS, Step Functions, and SWF—all designed to integrate and coordinate your applications and workflows seamlessly. The course also dives into AWS's powerful Analytics tools like Athena, Kinesis, Elasticsearch, Glue, and QuickSight, which help you analyze large datasets, stream real-time data, and create insightful visualizations. You’ll also explore how Machine Learning services such as Rekognition, Polly, Translate, Transcribe, Comprehend, and SageMaker empower developers to build intelligent, scalable applications with advanced capabilities like image recognition, translation, text-to-speech, and NLP. This course is perfect for developers, data engineers, and professionals looking to expand their knowledge of AWS and modern data and machine learning workloads. While no formal prerequisites are required, familiarity with basic cloud computing concepts is beneficial. The course is designed for an intermediate skill level, ideal for those who want to level up their knowledge of AWS data services and machine learning tools. By the end of the course, you will be able to deploy, manage, and integrate databases on AWS, set up and use analytics and machine learning services, and design modern, scalable cloud workloads using AWS tools.