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blockchain-dev-digital-assets

blockchain-dev-ethereum-deploy-truffle

blockchain-dev-ethereum-deploy-truffle-drizzle-box

blockchain-dev-ethereum-deploy-truffle-petshop-box

blockchain-dev-ethereum-deploy-truffle-react-box

blockchain-dev-ethereum-fundamentals

blockchain-dev-fundamentals

blockchain-dev-hashing

blockchain-dev-practice-block

blockchain-dev-project-1-create-private-blockchain

cloud-architect-aws-project-1-recoverability

In this project you will create highly available solutions to common use cases. You will build a Multi-AvailabilityZone, Multi-Region database and show how to use it in multiple geographically separate AWS regions. You will also build a website hosting solution that is versioned so that any data destruction and accidents can be quickly and easily undone.

cloud-architect-aws-project-2-scale

In this project, you will plan, design, provision, and monitor infrastructure in AWS using industry-standard and open source tools. You will practice the skills you have learned throughout the course to optimize infrastructure for cost and performance. You will also use Terraform to provision and configure AWS services in a global configuration.

cloud-architect-aws-project-3-security

In this project, you will: (1) Deploy and assess a simple web application environment’s security posture (2) Test the security of the environment by simulating attack scenarios and exploiting cloud configuration vulnerabilities (3) Implement monitoring to identify insecure configurations and malicious activity (4) Apply methods learned in the course to harden and secure the environment (5) Design a DevSecOps pipeline

cloud-dev-capstone-motorcycle-log

Motorcycle Log

cloud-dev-project-2-udagram-image-filter

cloud-dev-project-3-serverless-todo-aws

Final course learning project - a simple TODO application using AWS Lambda and Serverless framework

cloud-developer

content for Udacity's cloud developer nanodegree

cloud_developer_project_1_static_website_on_aws

dependency-cruiser

Validate and visualize dependencies. Your rules. JavaScript, TypeScript, CoffeeScript. ES6, CommonJS, AMD.

intro-to-python-for-ai-programmers

Udacity project to complete course

mycppandtdd

Simple project for learning C++, Test-Driven Development, Clion, Google Test, Github, Travis CI, and Coveralls

paddlescoot

Propulsion for small water craft

sdc-engineer-diary-13

Embeds into Medium.com post

sdc-project-1-find-lane-lines

Computer Vision with region masking, canny edge detection and hough transformations.

sdc-project-2-traffic-sign-classifier

Project 2 in Self-Driving Car Engineer Nanodegree program.

sdc-project-3-behavioural-cloning

Trained an AI agent to correctly predict the steering angle for a given image which then enabled the car simulator generalise and drive autonomously around a different track.

sdc-project-4-advanced-lane-detection

A software pipeline to identify the lane boundaries in a video.

sdc-project-5-vehicle-detection-cv

Traditional computer vision implementation for detecting vehicles.

sdc-term2-p1-extended-kalman-filters

Implements a Kalman filter in C++ that uses lidar and radar measurements to track a bicycle's position and velocity.

sdc-term2-p2-unscented-kalman-filters

A standard Kalman filter (KF) can only handle linear equations. Both the extended KF and the unscented KF allow you to use non-linear equations; the difference between EKF and UKF is how they handle non-linear equations. But the basics are the same: initialize, predict, update.