Data Modeling and ER Diagrams for SaaS API Tables

The main goal for the project is to convert the list of data tables of various SaaS based API's into proper data models using cube.dev or a similar approach. Additionally, the project aims to build ER models of the same to ensure efficient data organization and management. This will involve several different steps for the learners, including: - Analyzing the existing data tables and understanding the structure and relationships of the data. - Utilizing cube.dev or similar tools to create data models that accurately represent the SaaS API data. - Building ER models to visually represent the relationships between different entities in the data. - Testing the data models and ER diagrams to ensure they accurately capture the original data and its relationships.

Cyber Security Data Products - Design and Development

The main goal of this project is to research and analyze security related queries from some of open source solutions designed to perform a range of security tests and compile them all as well build additional to enable roll-out comprehensive data products. This will involve several different steps for the students, including: - Researching and analyzing existing open source security solutions. - Developing a comprehensive data product that can be rolled out. - Optimizing the security data product for performance. - Testing the developed product and making improvements based on additional data.

Knorket.AI Terraform Automation Project

The main goal of this project is to build terraform based automation for setting up infrastructure in the cloud to help set up big data infrastructure. This will involve several different steps for the students, including: - Learning about terraform and its capabilities. - Setting up terraform scripts for the cloud infrastructure. - Configuring helm charts for the big data infrastructure. - Setting up load balancers and ingress. - Testing the automation scripts and making improvements based on additional data.

Artificial Intelligence & Machine Learning Application

Our company is a platform for creating data products enabled by AI, and we want to leverage the latest technology to gain market advantage. Applications of this technology to build data products include recommendation algorithms, predictive analytics like lifetime values, fraud detections, cyber security analytics and classifications. We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset. Students will develop an AI / ML model related to any of the aforementioned applications. This will involve several different steps for the students, including: Conducting background research for specific problem domains (Will provide at the beginning of project) Analyzing the dataset (identify data requirements) Researching the latest AI / ML techniques and how they could be applied to our data. Developing an AI / ML model that provides unique outcomes or insights into our data. Providing multiple solutions that can be applied to solve the same problem. (Key is to build a "deployable" solution

Social Media Marketing Campaign

Our company has a SaaS Product. We hope to revamp our social media marketing to attract more customers. We would like to work with students to design a new social media marketing campaign for our company. This will involve several different steps for the students, including: Familiarizing themselves with our company’s products, social media campaign goals and target market. Identifying social media channels and strategies suitable for our company. Planning types of campaign content to create for each channel. Identifying metrics to monitor throughout the campaign. Creating a social media content calendar that outlines important steps in the campaign. Bonus steps in the process would also include: Recommending social media management tools to schedule our content.

Terraform based DevOps for Infrastructure as a code deployment

The main goal for the project is to utilize cloud technologies to build a Terraform based DevOps system for Infrastructure as a code deployment across multiple clouds. This will involve several different steps for the learners, including: - Understanding the current infrastructure and cloud technologies being used by the company. - Researching and learning about Terraform and its capabilities for Infrastructure as a code deployment. - Developing a DevOps system that integrates Terraform and cloud technologies for seamless deployment. - Testing the developed system and making improvements based on feedback and additional research.

SaaS Integrations Testing Project

The main goal for the project is to perform testing of various connectors to various SaaS applications and ensure that they are functioning properly. This will involve several different steps for the learners, including: - Understanding the different types of connectors and SaaS applications. - Developing test cases for each connector and SaaS application combination. - Executing the test cases and documenting the results. - Identifying and reporting any issues or bugs found during testing. - Collaborating with the development team to ensure that any issues are resolved. - Providing a final report on the testing process and outcomes.

Artificial Intelligence & Machine Learning Application

Our company is building a platform with focus on Software AI Agents as a a Service and we want to leverage the latest technology to gain market advantage. Applications of this technology include building range of AI agents using latest frameworks like llangchain and llamaindex. We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset. Students will develop AI / ML models and AI agents related to any of the aforementioned applications. This will involve several different steps for the students, including: Conducting background research on our existing products and the dataset. Analyzing our current dataset. Researching the latest AI / ML techniques and how they could be applied to our data. Developing an AI / ML model and agents that provides unique outcomes or insights into our data. Providing multiple solutions that can be applied to solve the same problem.

Manual SaaS Connector Testing Project

The main goal for the project is to perform testing of various connectors to various SaaS applications and ensure that they are functioning properly. This will involve several different steps for the learners, including: - Understanding the different types of connectors and SaaS applications. - Developing test cases for each connector and SaaS application combination. - Executing the test cases and documenting the results. - Identifying and reporting any issues or bugs found during testing. - Collaborating with the development team to ensure that any issues are resolved. - Providing a final report on the testing process and outcomes.

Java Plugin Build for Big Data Engine

The main goal for the project is to build a Java plugin for a big data engine that will be integrated into our SaaS platform. The plugin should be able to handle and process large volumes of data efficiently and effectively. It should also be able to provide real-time data analysis and insights for our platform users.