MIDS-scaling-up · alsavelv · Dec 2, 2022 · Dec 2, 2022 · Dec 2, 2022 · Dec 2, 2022
diff --git a/week01/Lecture_1.pptx b/week01/Lecture_1.pptx
diff --git a/week01/README.md b/week01/README.md
@@ -1,21 +1,14 @@
-# Lecture 1: Introduction to the class and Nvidia Jetson Device (Nano, Nano 4G or NX)
+# Lecture 1: Introduction to the class and deep learning with transformers
 
 Cloud computing. Big Data. Artificial intelligence. Deep learning frameworks and hardware. Datasets. Edge computing. Course project overview and sample.
 
 It is very important that you have all the required equipment ready before the first sync session.
 
 ## Reading:
-* Nvidia Jetpack
-https://developer.nvidia.com/embedded/jetpack
-* Nvidia Jetson family overview
-https://www.nvidia.com/en-us/autonomous-machines/embedded-systems-dev-kits-modules/
-* Jetson NX intro
-https://developer.nvidia.com/embedded/jetson-xavier-nx-devkit
-* Jetson Nano 2G User Guide
-https://developer.nvidia.com/embedded/learn/jetson-nano-2gb-devkit-user-guide
-* [Jetson Nano 4G User Guide](https://developer.nvidia.com/jetson-xavier-nx-developer-kit-user-guide)
-* NGC Containers for Linux for Tegra (l4t)
-https://catalog.ngc.nvidia.com/containers?filters=&orderBy=dateModifiedDESC&query=l4t
+* Introduction: Hugging Face
+https://huggingface.co/course/chapter0/1?fw=pt
+* Transformer models
+https://huggingface.co/course/chapter1/1?fw=pt
 * Two days to a demo (skim through)
 https://developer.nvidia.com/embedded/twodaystoademo 
 * Cloud 001: Introduction to SSH

diff --git a/week01/hw/CreateUbuntuVMInVMware.mp4 b/week01/hw/CreateUbuntuVMInVMware.mp4
diff --git a/week01/hw/Readme.md b/week01/hw/Readme.md
diff --git a/week01/hw/Xavier_NX_Install_SSD.mp4 b/week01/hw/Xavier_NX_Install_SSD.mp4
diff --git a/week01/hw/configure_jetson.sh b/week01/hw/configure_jetson.sh
diff --git a/week01/hw/remmina2.png b/week01/hw/remmina2.png
diff --git a/week01/hw/vnc1.png b/week01/hw/vnc1.png
diff --git a/week01/hw/vnc2.png b/week01/hw/vnc2.png
diff --git a/week01/lab/Dockerfile.yolov5 b/week01/lab/Dockerfile.yolov5
diff --git a/week01/lab/Readme.md b/week01/lab/Readme.md
diff --git a/week02/Readme.md b/week02/Readme.md
@@ -9,7 +9,6 @@ Introduction to Cloud Computing and Cloud AI—Defining the cloud. How clouds ar
 * http://www.ibm.com/cloud-computing/us/en/what-is-cloud-computing.html
 * https://azure.microsoft.com/en-us/overview/what-is-cloud-computing/
 * https://cloud.google.com/learn/what-is-cloud-computing
-
 * Types of clouds: https://www.globaldots.com/cloud-computing-types-of-cloud/
 * Cloud service types: https://www.fingent.com/blog/cloud-service-models-saas-iaas-paas-choose-the-right-one-for-your-business
 
@@ -27,6 +26,28 @@ Introduction to Cloud Computing and Cloud AI—Defining the cloud. How clouds ar
 * AWS API: https://docs.aws.amazon.com/
 * AWS CLI: https://aws.amazon.com/cli/
 
+### Virtual Machines
+* https://www.ibm.com/cloud/learn/hypervisors
+* https://www.stratoscale.com/blog/hyperconvergence/cloud-101-what-is-a-hypervisor/
+* https://www.redhat.com/en/topics/virtualization/what-is-KVM
+
+
+### Containers
+* https://avatao.com/life-before-docker-and-beyond-a-brief-history-of-container-security/
+* https://docs.docker.com/get-started/overview/
+* https://mkdev.me/en/posts/the-tool-that-really-runs-your-containers-deep-dive-into-runc-and-oci-specifications
+* https://www.docker.com/blog/what-is-containerd-runtime/
+
+
+### Installing Docker
+* https://docs.docker.com/get-docker/ 
+
+
+### Kubernetes
+* https://kubernetes.io/docs/concepts/
+* https://kubernetes.io/docs/tutorials/kubernetes-basics/
+* https://rancher.com/docs/k3s/latest/en/architecture/
+* https://thenewstack.io/how-k3s-portworx-and-calico-can-serve-as-a-foundation-of-cloud-native-edge-infrastructure/
 
 ### Vision as a Service demo:
 * https://azure.microsoft.com/en-us/services/cognitive-services/computer-vision/

diff --git a/week02/hw/Readme.md b/week02/hw/Readme.md
@@ -1,4 +1,4 @@
-# HW02: Docker, Cloud ML Services(Sagemaker) and Pricing
+# HW02: Docker, Cloud ML Services (Sagemaker) and Pricing
 
 *Complete Lab02 before starting HW02*
 
@@ -213,27 +213,7 @@ You can take an AMI image snapshot before terminating the instance.
 
 
 
-# PART2 - NOTE: Sagemaker cannot be run on the free tier ~~Setup and run Sagemaker Example~~
-
-~~This HW further builds on using public cloud services with a primer on AWS Sagemaker. Sagemaker is a fully managed Machine Learning Service enabling 
-to easily build, train and deploy ML models with an integrated Jupyter Notebook instance.~~
-
--   ~~Readup details on Sagemaker. https://docs.aws.amazon.com/sagemaker/latest/dg/ex1-preprocess-data.html~~
-
--   ~~Create Sagemaker notebook instance.  https://docs.aws.amazon.com/sagemaker/latest/dg/gs-console.html~~
-
--   ~~Create a jupyter notebook and save it. https://docs.aws.amazon.com/sagemaker/latest/dg/ex1-prepare.html~~
-
--   ~~Run the end to end Example https://github.com/aws/amazon-sagemaker-examples/blob/master/sagemaker-python-sdk/1P_kmeans_highlevel/kmeans_mnist.ipynb
-(This incl. downloading MNIST dataset to your account's default S3 Object storage)~~
-
--   ~~Once complete, Login to your account and check the resources the example created~~
-
--   ~~Cleanup the environment by deleting the deployed endpoint, Notebook instance and S3 to not incur AWS charges~~
-
-
-
-# PART3 - Pricing
+# PART2 - Pricing
 
 #### Spot pricing
 
@@ -289,7 +269,7 @@ Please update the limit for VCPU on my account to be 32 VCPUs for the g4dn.2xlar
 
 
 
-# PART4 - Turn in 
+# Turn in 
 
 ### Submit text file on class portal homework submission page with answers to the following Questions 
 

diff --git a/week03/README.md b/week03/README.md
@@ -1,42 +1,29 @@
 # Lecture 3
-Virtual machines, containers, orchestration and Kubernetes, edge, and cloud native.
+Object detection, COCO dataset, DETR model, ML pipelines,  edge, and cloud native.
 
 ## Reading
 
-### Virtual Machines
+### Object detection 
 
-https://www.ibm.com/cloud/learn/hypervisors
+https://huggingface.co/docs/api-inference/detailed_parameters#object-detection-task
 
-https://www.stratoscale.com/blog/hyperconvergence/cloud-101-what-is-a-hypervisor/
+https://cocodataset.org/#download
 
-https://www.redhat.com/en/topics/virtualization/what-is-KVM
+https://paperswithcode.com/task/object-detection
 
+### DETR model
 
-### Containers
+https://huggingface.co/runwayml/stable-diffusion-v1-5
 
-https://avatao.com/life-before-docker-and-beyond-a-brief-history-of-container-security/
+https://huggingface.co/docs/transformers/model_doc/detr
 
-https://docs.docker.com/get-started/overview/
+https://arxiv.org/abs/2005.12872
 
-https://mkdev.me/en/posts/the-tool-that-really-runs-your-containers-deep-dive-into-runc-and-oci-specifications
+### Building ML pipelines
 
-https://www.docker.com/blog/what-is-containerd-runtime/
+https://aws.amazon.com/blogs/machine-learning/architect-and-build-the-full-machine-learning-lifecycle-with-amazon-sagemaker/
 
-
-### Installing Docker
-
-https://docs.docker.com/get-docker/ 
-
-
-### Kubernetes
-
-https://kubernetes.io/docs/concepts/
-
-https://kubernetes.io/docs/tutorials/kubernetes-basics/
-
-https://rancher.com/docs/k3s/latest/en/architecture/
-
-https://thenewstack.io/how-k3s-portworx-and-calico-can-serve-as-a-foundation-of-cloud-native-edge-infrastructure/
+https://azure.github.io/ACE_Azure_ML/slides/AML_service.pptx
 
 ### Miscellaneous