Industry Partner
Work Integrated Learning
Partnered Companies
What is Work Integrated Learning (WIL)
Work-Integrated Learning (WIL) is an educational approach that combines formal learning with practical, real-world work experiences. It allows students or professionals to apply their skills in actual work environments while continuing their education.
It's a live work project that you can use to bolster your portfolio!
WIL Projects
- AI Prototype for public sector
- AI & ML for sports data
- Converting threads into vector database
- Supply Chain Optimization
- Health sciences data analytics
Program Features
With our Data Science, ML & AI Program's experiential learning opportunities, you'll not only gain a solid theoretical foundation but also build the confidence and competence to thrive in real-world scenarios. Prepare yourself for a successful career by joining our program and unlocking the power of experiential learning.
Note: The availability of internships and specific details may vary based on partnerships with companies and industry demand.
Real-World Projects
Gain hands-on experience by working on live, employer-led projects that tackle real business problems in Data Science, Machine Learning, and AI. These aren't case studies - they're actual challenges from companies.
Structured Support & Guidance
Receive end-to-end support through dedicated Program Coordinators, Technical Check-ins, and feedback loops to ensure you stay on track and get the most out of your WIL experience.
Mentorship & Collaboration
Collaborate with Technical Mentors, Industry Experts, and cross-functional teams. Learn how professionals work in fast-paced environments and get feedback that sharpens your skills and thinking.
Career-Ready Experience
Complete Industry-vetted projects you can showcase in your portfolio. Demonstrate your applied skills to employers and stand out with practical experience that goes beyond certification.
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Learn moreWIL For Businesses
At M2M Tech, we partner with businesses to provide AI-ready talent through structured Work-Integrated Learning (WIL) programs. Our initiative helps companies leverage skilled professionals while supporting workforce development in Data Science, Machine Learning and AI.
Access to Skilled Talent
- Gain early access to emerging talent in Data Science, Machine Learning and AI.
- Work with students and professionals trained in cutting-edge technologies.
Cost-Effective Workforce Support
- WIL participants provide project-based assistance at a lower cost than hiring full-time employees.
- Some programs are government-funded, reducing financial risk.
Fresh Perspectives & Innovation
- New talent brings innovative ideas and solutions to real business challenges.
- Exposure to the latest academic research and industry best practices.
AI & Digital Transformation Readiness
- Apply AI-driven solutions in real-world business settings with expert guidance.
- Test new AI models, automation, and analytics without committing to full-time AI hires.
How it works
1
Define Your Project:
Identify a Data Science, Machine Learning and AI project.
2
We Match You with Talent:
Select from vetted participants ready to contribute.
3
Collaborate on Real-World Solutions:
Work on AI-driven projects with talent from M2M Tech.
*
Evaluate & Hire (Optional)
Seamlessly transition top performers into full-time roles.
WIL Showcase
AI Prototype for Public Sector
The goal of the project is to build a prototype of an AI-based tool that can be used by public sector organizations to predict service needs based on client characteristics and results.
Artificial intelligence for speech enhancement
This project aims to use data collection with field work to create a model to improve the performance of RMK mics, a device used to receive and deliver sound.
Convert Chat Threads into a Vector Database
The goal of this project is to apply the latest AI & ML techniques to an existing dataset to create an AI/ML model that supports development of more content and user access with the platform's evolution.
AI & ML for Sports Data Site
Development of an AI / ML model related to projecting player and team performance, or findings other insights in the data so that it can be added to the data directory in SportWise.
Data Analytics Skills Assignments
We are launching an exciting initiative aimed at developing the next generation of data analytics talent in higher education.
Health Sciences Data Analytics
Develop a pilot project to illustrate the role of multi-edge computing in Neuraura's long-term vision for LoOoP.
AI for Green Hydrogen Microgrid Optimization
This project explores how artificial intelligence can be applied to optimize the performance and decision-making processes within a green hydrogen microgrid system.
AI for Pet Nutrition Recommendation
This project explores how artificial intelligence can be applied to enhance pet health and wellness through personalized insights.
AI for Real-Time Speech Accessibility
This project investigates how artificial intelligence can support inclusive communication by improving speech recognition systems for individuals with atypical speech patterns.
Wildfire Risk Forecasting
This project investigates how artificial intelligence can support environmental sustainability and risk preparedness.
Generative RNA Design
This project explores how artificial intelligence can be applied to accelerate scientific discovery in the field of computational biology.
Seafood Properties Prediction
This project explores how computer vision and machine learning can be applied to automate quality assessment processes in food and natural resource industries.
Home Energy Data Intelligence
This project explores how artificial intelligence can be used to improve energy efficiency in residential buildings.
Crop Disease Detection
This project explores how artificial intelligence can be used to support early detection of plant health issues in agricultural settings.