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Cloud&ai dev
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‎.vscode/settings.json‎

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‎courses/README.md‎

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## [Frontend](/courses/frontend/README.md)
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## [Backend](/courses/backend/README.md)
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## [Cloud & AI](/courses/cloud&ai/README.md)

‎courses/cloud&ai/README.md‎

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# Cloud & AI
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This specialization course focuses on cloud computing and artificial intelligence using Amazon Web Services (AWS), preparing trainees for modern cloud-native development and AI-powered applications.
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## Learning Goals
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By the end of this course, trainees will be able to:
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- Deploy and manage applications in AWS cloud
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- Work with AI/ML services and APIs on AWS
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- Build cloud-native applications on AWS
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- Implement AI-powered features in existing applications
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## Modules
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| Name | Weeks |
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| ----------------------------------------------------------------------- | ----- |
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| [AWS Fundamentals](./aws-fundamentals/README.md) | 2 |
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| [Database & Storage Services](./database-storage-services/README.md) | 2 |
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| [Building 3 Tier Web Apps on AWS](./building-3-tier-web-apps/README.md) | 1 |
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| [Serverless on AWS](./serverless-aws/README.md) | 2 |
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| [AI/ML Services](./ai-ml-services/README.md) | 2 |
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| [Build AI/ML Applications](./build-ai-ml-applications/README.md) | 2 |
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| [Final project](./final-project/README.md) | 4 |
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Total: 15 weeks
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## Prerequisites
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Trainees should have completed the [Foundation course](../foundation/README.md) before starting this specialization.

‎courses/cloud&ai/ai-ml-services/README.md‎

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# AI/ML Services
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This module covers AWS artificial intelligence and machine learning services, teaching trainees to integrate AI capabilities into their applications.
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## Machine Learning
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| Week | Topic |
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| ---- | ------------------------------------------------------------ |
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| 1. | [Introduction to Machine Learning on AWS](./week1/README.md) |
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| 2. | [Machine Learning Workshop](./week2/README.md) |

‎courses/cloud&ai/ai-ml-services/week1/README.md‎

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# AI/ML Services (Week 1)
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This module covers AWS artificial intelligence and machine learning services, teaching trainees to utilize AI/ML services on AWS to build applications.
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## Machine Learning
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| Week | Topic | Content | Description |
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| ---- | -------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------------------- |
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| 1. | Introduction to Machine Learning | [Introduction to Machine Learning - Art of the Possible](https://skillbuilder.aws/learn/W5U4ZWMGAH/introduction-to-machine-learning-art-of-the-possible/YSW8SJ3N3Q?parentId=2PW43AVTYR) | Overview of ML possibilities and applications |
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| 1. | ML Terminologies and Concepts | [Machine Learning Terminology and Process](https://skillbuilder.aws/learn/8U8G8MKUEK/machine-learning-terminology-and-process/DMCV9X9A2V?parentId=2PW43AVTYR) | Essential ML vocabulary and processes |
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| 1. | AI/ML Fundamentals | [Fundamentals of Machine Learning and Artificial Intelligence](https://skillbuilder.aws/learn/16ASDUHF86/fundamentals-of-machine-learning-and-artificial-intelligence/M7JZCTA94N) | Core concepts of AI and ML |
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| 1. | Amazon SageMaker | [Introduction to Amazon SageMaker](https://skillbuilder.aws/learn/E1TZFJG8AG/introduction-to-amazon-sagemaker/GK2ESQYCR3?parentId=2PW43AVTYR) | AWS managed ML platform introduction |
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## Learning goals
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- [ ] Understand machine learning fundamentals and terminology
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- [ ] Learn AI/ML concepts and processes
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- [ ] Work with Amazon SageMaker for ML model development

‎courses/cloud&ai/ai-ml-services/week2/README.md‎

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# AI/ML Services (Week 2)
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This module allows trainees to have hands-on experience building generative ai applications on AWS
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## Machine Learning
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| Week | Topic | Content | Description |
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| ---- | -------- | -------------------------------------------------------------------------- | --------------------------------------------------------- |
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| 2. | Workshop | [Building Gen AI Apps](https://catalog.workshops.aws/building-gen-ai-apps) | Hands-on workshop for building generative AI applications |
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## Learning goals
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- [ ] Work with Amazon SageMaker for ML model development
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- [ ] Build generative AI applications using AWS services
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## Prerequisites
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Trainees should have completed the [AI/ML Services Week1](../week1/README.md) before starting this module.

‎courses/cloud&ai/aws-fundamentals/README.md‎

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# AWS Fundamentals (IAM, Compute & Networking)
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This module introduces trainees to Amazon Web Services fundamentals.
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| Week | Topic |
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| ---- | --------------------------------------------- |
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| 1. | [Getting started with AWS](./week1/README.md) |
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| 2. | [Deep Dive and Workshop](./week2/README.md) |

‎courses/cloud&ai/aws-fundamentals/week1/README.md‎

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# AWS Fundamentals (IAM, Compute & Networking) (Week 1)
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This module introduces trainees to Amazon Web Services fundamentals, focusing on Identity and Access Management, compute services, and networking concepts.
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| Week | Topic | Content | Description |
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| ---- | ----------------------------- | ------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------ |
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| 1. | Setting up an account and IAM | [AWS Account Setup Learning Plan](https://skillbuilder.aws/learning-plan/4YT74952PX/aws-account-setup-learning-plan/M75G5W23MV) | Learn to set up AWS account and IAM fundamentals |
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| 1. | Compute on AWS | [AWS Compute Services Overview](https://skillbuilder.aws/learn/QV37EUK5Y7/aws-compute-services-overview/EG41UCZ2T3) | Introduction to AWS compute services |
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| 1. | Networking Basics on AWS | [AWS Networking Basics](https://skillbuilder.aws/learn/S1VYRYHD8V/aws-networking-basics/SKP7248UVF) | Fundamentals of AWS networking |
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## Learning goals
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- [ ] Set up AWS account and understand IAM fundamentals
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- [ ] Understand AWS compute services and EC2 basics
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- [ ] Learn AWS networking fundamentals and VPC concepts

‎courses/cloud&ai/aws-fundamentals/week2/README.md‎

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# AWS Fundamentals (IAM, Compute & Networking) (Week 2)
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This module allows trainees to dive deep on compute and networking for Amazon Web Services in addition to hands-on walkthrough of fundamentals of AWS.
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| Week | Topic | Content | Description |
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| ---- | ------------------------ | ----------------------------------------------------------------------------------------------------------------------------------- | ---------------------------------------------------- |
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| 2. | VPC Deep Dive (Optional) | [Introduction to Amazon VPC](https://skillbuilder.aws/learn/PH6Z6EVH8Z/introduction-to-amazon-virtual-private-cloud-vpc/PA8H7FUE15) | Deep dive into Virtual Private Cloud concepts |
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| 2. | EC2 Deep Dive (Optional) | [Introduction to Amazon EC2](https://skillbuilder.aws/learn/9VNGAHHAUU/introduction-to-amazon-ec2/AJZEJRN2BQ) | Deep dive into Elastic Compute Cloud |
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| 2. | Workshop | [General Immersion Day](https://catalog.workshops.aws/general-immersionday/en-US) | Hands-on workshop covering IAM, Compute & Networking |
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## Learning goals
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- [ ] Learn AWS fundamentals and concepts
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- [ ] Apply knowledge through hands-on workshop exercises
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## Prerequisites
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Trainees should have completed the [AWS Fundamentals Week1](../week1/README.md) before starting this module.

‎courses/cloud&ai/build-ai-ml-applications/README.md‎

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# Build AI/ML Applications
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This module focuses on building complete AI/ML applications using AWS services, with emphasis on Generative AI and Agentic AI solutions.
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## Generative AI
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| Week | Topic |
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| ---- | --------------------------------------------------- |
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| 1. | [Generative AI on AWS](./week1/README.md) |
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| 2. | [Agentic AI on AWS and Workshop](./week2/README.md) |

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