diff --git a/README.md b/README.md index 8f57946..0e8f5ee 100644 --- a/README.md +++ b/README.md @@ -44,7 +44,7 @@ Inam ul Haq, Imran, Anees, [Zeeshan Hanif](https://github.com/zeeshanhanif), Fah [Python Tutorial For Beginners | Python Full Course From Scratch | Python Programming | Edureka](https://www.youtube.com/watch?v=vaysJAMDaZw) -### Learn Python +### Learn Rust [The Official Rust Book](https://doc.rust-lang.org/book/) @@ -60,7 +60,9 @@ Inam ul Haq, Imran, Anees, [Zeeshan Hanif](https://github.com/zeeshanhanif), Fah Note: For AWS Free Tier you will need a credit or debit card. The easiest way for Pakistani students is to open a bank account in Meezan Bank. Open a Meezan Aasan Account if you have no earning proof. Meezan Bank will charge Rs. 1100 for ATM Debit Card and there is a requirement of Rs. 100 minimum deposit. The card will be delivered in a few weeks. Our students have reported that this Debit card works with AWS. -## Part 1: Serverless using CDK +## Learning + +### Part 1: Serverless using CDK We will be writing Infrastructure as Code (IaC) CDK AWS Serverless constructs in Python and Lambda Functions etc. in both Python and Rust @@ -72,15 +74,15 @@ Learning Material: [Learning Serverless with CDK Repo](https://github.com/panacloud-modern-global-apps/full-stack-serverless-cdk) -## Part 2: Serverless Machine Learning with AWS CDK +### Part 2: Serverless Machine Learning with AWS CDK [AI as a Service: Serverless machine learning with AWS](https://www.manning.com/books/ai-as-a-service) -We will be using the AI as a Service Textbook and inhancing all the examples and code using CDK. +We will be using the AI as a Service Textbook and enhancing all the examples and code using CDK. -## Part 3: Building Multi-Tenant SaaS APIs using Panacloud Serverless SaaS Tech +### Part 3: Building Multi-Tenant SaaS APIs using Panacloud Serverless SaaS Tech -## Part 4: AIoT and Edge Computing +### Part 4: AIoT and Edge Computing [Getting started with AWS IoT Greengrass](https://docs.aws.amazon.com/greengrass/latest/developerguide/gg-gs.html) @@ -90,17 +92,17 @@ We will be using the AI as a Service Textbook and inhancing all the examples and We will be using the Greengrass Tutorial and inhancing all the examples and code using CDK. -It is highly recommended that you have a Raspberry Pi 4 Model B, or Raspberry Pi 3 Model B/B+, with a 8 GB microSD card, or will have to use an Amazon EC2 instance as a virtual edge device. +It is highly recommended that you have a Raspberry Pi 4 Model B, or Raspberry Pi 3 Model B/B+, with an 8 GB microSD card, or will have to use an Amazon EC2 instance as a virtual edge device. -## Part 5: Building, Training, and Deploying Machine Learning Models on Cloud and Edge with Amazon SageMaker +### Part 5: Building, Training, and Deploying Machine Learning Models on Cloud and Edge with Amazon SageMaker [Learn Amazon SageMaker: A guide to building, training, and deploying machine learning models for developers and data scientists](https://www.amazon.com/Learn-Amazon-SageMaker-developers-scientists/dp/180020891X) -We will be using the Learn Amazon SageMaker Textbook and inhancing all the examples and code using CDK. +We will be using the Learn Amazon SageMaker Textbook and enhancing all the examples and code using CDK. -## Part 6: Voice Computing +### Part 6: Voice Computing -{Add Voice To Your Serverless Apps with Alexa Through AWS CDK](https://dev.to/cdkpatterns/add-voice-to-your-serverless-apps-with-alexa-through-aws-cdk-45n0) +[Add Voice To Your Serverless Apps with Alexa Through AWS CDK](https://dev.to/cdkpatterns/add-voice-to-your-serverless-apps-with-alexa-through-aws-cdk-45n0) ## Part 7: Embedded Real-Time Computing