Career Roadmaps
Step by step guides and paths to learn different tools or technologies
AI Engineer
Master Machine Learning, Deep Learning, NLP, and MLOps with Python, TensorFlow, and PyTorch to build and deploy AI systems in production.
Backend Developer
Develop robust and scalable backend applications with Java, Spring Boot, or Node.js. Focus on server-side logic, APIs, and database integration.
Data Analyst
Master data analysis, visualization, and statistics with Python, SQL, Tableau, and Power BI to transform data into business insights.
DevOps Engineer
Master cloud infrastructure, automation, and DevOps practices with AWS, Docker, Kubernetes, and Terraform.
Frontend Developer
Master modern frontend development with React, TypeScript, and contemporary web technologies.
Full-Stack + DevOps + QA Hybrid Engineer
Master the complete software delivery lifecycle: build backend/frontend applications, implement automated testing, and deploy to production with CI/CD and cloud infrastructure.
IT Auditor
Master IT auditing, cybersecurity compliance, risk assessment, and governance frameworks to evaluate and strengthen organizational IT controls and security posture.
Machine Learning Engineer
Master Machine Learning algorithms, feature engineering, and model deployment with Python, scikit-learn, and modern ML frameworks.
Product Manager
Master product strategy, data analysis, team management, and Agile methodologies to build successful products.
QA Engineer
Master manual and automated testing, modern testing frameworks, and QA practices using Selenium, Cypress, API Testing, and CI/CD.