Career Roadmaps

10 paths available

A

AI Engineer

Artificial Intelligence

Master Machine Learning, Deep Learning, NLP, and MLOps with Python, TensorFlow, and PyTorch to build and deploy AI systems in production.

10-14 monthsAdvanced
D

Backend Developer

Development

Develop robust and scalable backend applications with Java, Spring Boot, or Node.js. Focus on server-side logic, APIs, and database integration.

7-10 monthsMid Level
D

Data Analyst

Data & Analytics

Master data analysis, visualization, and statistics with Python, SQL, Tableau, and Power BI to transform data into business insights.

6-8 monthsMid Level
I

DevOps Engineer

Infrastructure & Operations

Master cloud infrastructure, automation, and DevOps practices with AWS, Docker, Kubernetes, and Terraform.

8-12 monthsMid Level
D

Frontend Developer

Development

Master modern frontend development with React, TypeScript, and contemporary web technologies.

6-8 monthsEntry Level
H

Full-Stack + DevOps + QA Hybrid Engineer

Hybrid Engineering

Master the complete software delivery lifecycle: build backend/frontend applications, implement automated testing, and deploy to production with CI/CD and cloud infrastructure.

12-18 monthsAdvanced
I

IT Auditor

Information Technology & Cybersecurity

Master IT auditing, cybersecurity compliance, risk assessment, and governance frameworks to evaluate and strengthen organizational IT controls and security posture.

12-18 monthsIntermediate to Advanced
M

Machine Learning Engineer

Machine Learning

Master Machine Learning algorithms, feature engineering, and model deployment with Python, scikit-learn, and modern ML frameworks.

8-12 monthsAdvanced
P

Product Manager

Product & Strategy

Master product strategy, data analysis, team management, and Agile methodologies to build successful products.

6-9 monthsMid Level
Q

QA Engineer

Quality Assurance

Master manual and automated testing, modern testing frameworks, and QA practices using Selenium, Cypress, API Testing, and CI/CD.

6-9 monthsMid Level