Data Science
Build practical skills in data analysis, machine learning and evidence-driven problem solving.
Start in Data Science →Every domain is designed as a student-facing pathway with guided tasks, source code, and verified GreyRocks credentials.
Build practical skills in data analysis, machine learning and evidence-driven problem solving.
Start in Data Science →Work through applied AI tasks, model evaluation and practical implementation.
Start in Artificial Intelligence →Practice the full ML workflow from data preparation to evaluation and documentation.
Start in Machine Learning →Learn reporting, SQL, dashboards, business metrics and analytical storytelling.
Start in Data Analytics →Build Python applications with clean structure, APIs, testing and documentation.
Start in Python Development →Create responsive web projects with modern frontend and backend fundamentals.
Start in Web Development →Work across UI, APIs, databases and deployment in a guided project path.
Start in Full Stack Development →Build accessible, responsive interfaces with modern web technologies.
Start in Frontend Development →Practice APIs, databases, authentication, validation and backend architecture.
Start in Backend Development →Explore cloud fundamentals, deployment, storage, networking and operational workflows.
Start in Cloud Computing →Practice version control, CI/CD concepts, containers and reliable delivery workflows.
Start in DevOps →Learn defensive security concepts, secure development and practical security hygiene.
Start in Cyber Security →Turn user needs into flows, wireframes, interfaces and design documentation.
Start in UI/UX Design →Build practical workflows with LLMs, prompting, evaluation and responsible AI practices.
Start in Generative AI →Work with text data, preprocessing, language models and evaluation techniques.
Start in NLP →Explore image processing, computer vision pipelines and model evaluation.
Start in Computer Vision →Translate business questions into metrics, analysis and clear recommendations.
Start in Business Analytics →Practice test planning, API testing, bug reporting and quality workflows.
Start in Software Testing →Bridge customer problems, software, data and deployment in practical project scenarios.
Start in FDE / Forward Deployed Engineering →Practice requirements, prioritisation, user stories, metrics and product documentation.
Start in Product Management →Build cross-platform mobile apps using Flutter or React Native with clean architecture.
Start in Mobile App Development →Design and implement distributed data pipelines with Spark, Kafka and modern data warehouses.
Start in Big Data Engineering →Train and fine-tune neural networks for computer vision, audio and predictive tasks.
Start in Deep Learning →Develop smart contracts, decentralized apps (dApps) and Web3 protocol integrations.
Start in Blockchain Development →Master system observability, automated alerting, disaster recovery and uptime reliability.
Start in Site Reliability Engineering →Conduct vulnerability assessments, network penetration tests and security audits.
Start in Ethical Hacking & Pen Testing →Program microcontrollers, sensor integration, IoT protocols and hardware-software firmware.
Start in Embedded Systems & IoT →Write memory-safe, ultra-fast low-level applications and networking tools using Rust.
Start in Systems Programming in Rust →Design game loops, physics engines, shaders and interactive 2D/3D gameplay in Unity.
Start in Game Development →Execute data-driven SEO, conversion rate optimization, SEM and growth marketing experiments.
Start in Digital Marketing & Growth →Architect scalable REST and gRPC microservices with Docker, Redis and PostgreSQL.
Start in API & Microservices Architecture →Analyze genomic sequences, molecular datasets and biological pipelines using Python and R.
Start in Bioinformatics & Computational Biology →