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Your Pathway to Employment Through Hands-On Learning

Skip the 40-hour video courses. Learn job-ready skills through AI-powered, interactive lessons designed by industry experts.

50+Skills Taught
200+Interactive Lessons
500+Practice Exercises

AI Lesson Preview

REST API Design

Live

Great job! Now, when should you use a PUT vs a PATCH request?

PUT replaces the entire resource, while PATCH only updates the fields you send!

Correct! You have mastered this concept.

Lesson Progress68%
4 of 6 objectives
87% mastery

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Why Gradis?

Six reasons learners choose Gradis over traditional MOOCs and bootcamps.

AI Tutor

A personal AI tutor that adapts to your pace. Conversational, interactive lessons that ensure real understanding before moving on.

Learn by Practice

Every exercise maps to what employers actually look for. Practice real tasks, not toy examples.

Always Up-to-Date

Technologies move fast. Our AI agents keep curricula current so you learn the tools companies use today, not 3 years ago.

No Boring Videos

AI-powered concise, interactive lessons replace passive video watching. Learn what matters only.

Verified Certificates

Certificates backed by real project evidence and AI-evaluated mastery. Shareable on LinkedIn and your portfolio.

Build Your Portfolio

A living credential with verified projects, mastery scores, and skill badges that prove capability.

Programs

Explore our hands-on, industry-designed learning programs.

Build Applications Using Claude Code

Build Applications Using Claude Code

An intensive 4-week bootcamp designed to transform junior developers into AI-augmented full-stack developers capable of building, debugging, and deploying production-ready web applications using Claude Code. Participants will master terminal-based workflows, natural language prompting for code generation, Git version control, and full-stack development (React/Node.js) while leveraging Claude Code as their primary coding assistant. By program completion, learners will have deployed a portfolio-quality capstone application and demonstrated job-ready proficiency in the emerging agentic coding paradigm.

7 modules
Deploying Production-Ready LLM & Agent Systems

Deploying Production-Ready LLM & Agent Systems

An 8-week intensive program that prepares junior developers to architect, build, and deploy enterprise-grade LLM applications with confidence. Progress from foundational prompt engineering to building multi-agent systems with full observability, deployment pipelines, and cost optimization strategies. By program completion, graduates will deliver a portfolio demonstrating production-ready RAG systems, agentic workflows, and LLMOps practices that directly address the 73% hiring gap for deployment-capable junior developers.

8 modules
Machine Learning from Scratch: The Systems View (Advanced)

Machine Learning from Scratch: The Systems View (Advanced)

A 6-week intensive program designed to transform ML practitioners into ML Systems Engineers by building a complete mini-PyTorch framework from first principles. Learners will implement automatic differentiation, neural network layers, optimizers, and GPU acceleration basics while understanding the computational and numerical considerations that drive production ML systems. By coupling each implementation with performance optimization and framework comparisons, students develop the deep systems knowledge required for mid-level engineering roles where architectural decisions and production trade-offs are daily responsibilities.

6 modules
Machine Learning from Scratch: The Systems View (Junior Edition)

Machine Learning from Scratch: The Systems View (Junior Edition)

A 2-month intensive program designed to prepare aspiring ML Systems Engineers for junior-level roles by building strong mathematical intuition, core ML understanding, and systematic thinking about production systems. Students will master the mathematical foundations (linear algebra, calculus, probability), understand essential ML concepts (loss functions, optimization, regularization), and progressively implement systems using Python, scikit-learn, and PyTorch. The program emphasizes conceptual clarity before coding, preparing learners to design, implement, and reason about ML systems that work in production environments.

7 modules

Our Impact

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Practice Exercises

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For Companies & Institutions

Partner with Gradis to upskill your workforce or supplement your curriculum with AI-powered, practical training.

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  • Employer-designed curriculum mapped to real hiring needs
  • Verified skill certificates with evidence-backed assessments
  • Analytics dashboard tracking learner progress and mastery
  • Custom programs tailored to your tech stack and role requirements

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Your pathway to employment through hands-on, AI-powered learning. Build job-ready skills that employers actually value.

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