Data Processing

Build a real sentiment analysis application with Python and Hugging Face Transformers. Learn how pretrained NLP models work, run inference locally, interpret confidence scores, process multiple reviews, expose the model through an API, and understand when sentiment models can fail.

Learn how to build a developer portfolio that showcases your projects, technical skills, GitHub work, experience, and problem-solving ability—and helps recruiters quickly understand what you can actually build.

Learn the most useful Linux commands for developers, from navigating files and managing processes to searching logs, checking resources, and working with permissions.

Follow a practical machine learning roadmap for 2026, covering Python, mathematics, data analysis, machine learning algorithms, deep learning, projects, deployment, and job-ready skills.

Learn the fundamentals of system design, including clients, servers, databases, APIs, caching, load balancing, scalability, reliability, and how to design applications step by step.

Learn what Kubernetes is, why teams use it, how pods, deployments, services, and clusters work, and how Kubernetes fits into modern DevOps.