Student Hub

Empowering the Next Generation of Cloud Engineers

Access free resources, join our community, and build your skills with real-world projects in cloud-native technologies and platform engineering.

Student Benefits

Ingenimax is committed to supporting students with the resources they need to succeed in cloud-native technologies.

Free Educational Access

Students get free access to our platform, including tutorials, labs, and certification preparation materials.

Hands-on Projects

Build your portfolio with real-world projects that demonstrate your skills to future employers.

Mentorship & Community

Connect with industry professionals and fellow students in our active community forums and events.

Developer working on open source project

Build With Our Open-Source Projects

StarOps Conversational Agent

Contribute to our flagship AI assistant designed for cloud-native workflows. Perfect for students wanting hands-on experience with production-grade conversational AI.

Repository Access

All our projects are fully open-source with detailed documentation. Clone, fork, and submit pull requests to build your portfolio while making real-world impact.

Collaborative Environment

Join a thriving community of student developers, researchers, and industry mentors committed to advancing AI infrastructure.

Essential Learning Resources

Access free learning materials designed specifically for students looking to build skills in cloud-native technologies and AI infrastructure.

Model Benchmarks Visualization

Model Benchmarks

Model benchmarking is crucial for evaluating AI performance across different tasks, datasets, and hardware setups. It helps engineers and researchers understand trade-offs between accuracy, speed, and efficiency, ensuring that models are optimized for real-world applications. By comparing benchmarks, teams can make informed decisions about which models to deploy, how to fine-tune them, and where improvements are needed.

Take a look at this LLM Leaderboard from Vellum or this open source project from LiveBench to learn more. Galileo has a specific leaderboard for agentic LLM use.

Pick a model or an API, pair it with the conversational agent, and build something locally! Next step: deploying to the cloud.

AWS Services for AI/ML

AWS Basics for AI/ML

Cloud platforms like AWS are foundational for deploying, scaling, and maintaining AI applications. Understanding AWS services such as EC2, S3, and IAM enables engineers to build robust, cost-effective infrastructures. Whether you're training models, managing data pipelines, or optimizing deployments, AWS knowledge is a critical skill for modern AI professionals.

Learn by viewing:

Learn by doing:

AI Infrastructure Scaling

Scaling AI Infrastructure

  • Kubernetes is the industry-standard platform for managing and scaling containerized applications. It enables automation, resilience, and flexibility for AI and ML workloads. However, Kubernetes has a steep learning curve and can be complex to configure and maintain. Here's a short video explaining the main concepts.
  • StarOps abstracts away the complexity of Kubernetes, allowing students and engineers to focus on building and deploying models without worrying about intricate infrastructure details. With StarOps, you get the power of Kubernetes without the pain, streamlining deployment and operational workflows for AI applications.

Join Our Student Community

Connect with fellow students, mentors, and industry professionals in our active community.

Weekly study groups and workshops
Mentorship from industry professionals
Collaborative projects and hackathons
Job and internship opportunities
Student community

Apply for the Student Program

Our student program is open to enrolled students at accredited educational institutions. Apply today to gain access to all our resources and benefits.

Please use your academic email address (.edu, .ac.uk, etc.)

Frequently Asked Questions

Find answers to common questions about our student program.

Who is eligible for the student program?

The program is open to all students currently enrolled in an accredited educational institution, including universities, colleges, and coding bootcamps. You'll need to verify your student status with an academic email address or enrollment documentation.

What benefits do students receive?

Students receive free access to our platform, including tutorials, labs, and certification preparation materials. You'll also get access to our community, mentorship opportunities, and the chance to work on real-world projects.

How long does the student program last?

Your access to the student program lasts for the duration of your academic enrollment. We'll verify your student status annually to ensure continued eligibility.

Are there any costs associated with the program?

The basic student program is completely free. Some advanced features or specialized workshops may have associated costs, but these are always clearly marked and optional.

How can I contribute to open-source projects?

After joining the program, you'll get access to our GitHub repositories and contribution guidelines. We'll help match you with projects that align with your skills and interests, and provide mentorship throughout the contribution process.

Have more questions? Contact our student support team for assistance.