Welcome to 12 Weeks AWS Workshops! This challenge is designed to provide in-depth knowledge and hands-on experience in various aspects of Amazon Web Services (AWS). Over the course of 12 weeks, I will explore key AWS core services, dive into identity and access management, networking, storage, databases, infrastructure as code, containers, serverless computing, observability, AI coding companion, analytics, and event-driven architecture.
The best part is that whether you're a beginner or an experienced AWS user, this workshop series is tailored to enhance your skills and empower you with practical expertise.
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AWS Core Services: Gain a strong foundation in essential AWS services and understand their practical applications.
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Identity and Access Management (IAM): Learn how to manage user identities and access permissions effectively, ensuring security and compliance.
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Networking: Explore AWS networking capabilities, including Virtual Private Cloud (VPC), and master the art of creating scalable and secure network architectures.
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Storage: Deepen your understanding of AWS storage solutions, including Amazon S3, EBS, and Glacier, and learn best practices for data storage and retrieval.
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Databases: Delve into AWS database services, such as Amazon RDS, DynamoDB, and Redshift, and discover optimal database management techniques.
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Infrastructure as Code (IaC): Master the concept of IaC using AWS CloudFormation and Terraform, enabling seamless infrastructure deployment and management.
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Containers: Learn container orchestration using Amazon ECS and Kubernetes on AWS, ensuring efficient deployment and scaling of containerized applications.
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Serverless Computing: Explore serverless computing with AWS Lambda, API Gateway, and other serverless services, enabling you to build and deploy applications without managing servers.
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Observability: Implement robust monitoring and observability practices using AWS CloudWatch, X-Ray, and other tools, ensuring the reliability and performance of your AWS resources.
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AI Coding Companion: Discover the world of artificial intelligence on AWS, including services like Amazon SageMaker, comprehend AI concepts, and apply them to real-world scenarios.
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Analytics: Harness the power of AWS analytics services, such as Amazon EMR, Kinesis, and Athena, to process and derive insights from large datasets.
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Event-Driven Architecture: Understand the principles of event-driven architecture on AWS, using services like Amazon EventBridge and SNS, to build responsive and scalable applications.
- Basic understanding of cloud computing concepts.
- Familiarity with general IT concepts and technologies.
if you are interested, begin your journey with 12 Weeks AWS Workshops, please follow these steps:
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Register: Visit this website https://12weeksworkshops.com/ and join the discord community https://discord.gg/ESb68jZA3R to register for the challenge.
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Accessing Workshop Materials: Once registered, start takign the challenges provided on the website on weekly basis. The challenges are designed to help you learn and practice AWS services and concepts.
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Join the Community: Engage with fellow participants, ask questions, and collaborate within our community forums and chat groups. Learning is more fun when shared!
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Attend Live Sessions: Participate in live sessions on Saturdays. More details can be found on the discord server.
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Complete Hands-on Labs: Practice what you learn through hands-on workshops. Gain practical experience by working on real AWS scenarios.
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Stay Updated: Regularly check our website and announcements for updates on schedules, additional resources, and special events.
Connect with fellow participants, mentors, and AWS enthusiasts on our Discord server! Click here to join the conversation.
I'm thrilled to share that I have joined this exciting AWS learning journey. Together, let's explore the vast landscape of Amazon Web Services and empower ourselves with the skills to innovate, build, and deploy cutting-edge solutions in the cloud. Happy learning!
Stay tuned for updates as I share my progress using #12weekawsworkshopschallenge!
Thanks to @awsusergroupyaounde for the inspiration and @whizlabs for the support.
Thanks to @Prasd Rao, @paula ali Wakabi @Chi-che for setting up the challenge.