Training
AI & Engineering Training
Hands-on courses in AI, Data Science, robotics, UAV design, and programming — structured for delivery, not theory only.
Available courses
Managed from Admin → Training Courses.
AI Foundations (Practical Track)
Featured
AI • Beginner • 4 weeks
Core AI concepts with hands-on exercises and clear outcomes.
This track builds a strong AI foundation with practical tasks: problem framing, evaluation metrics, and implementing baseline models. Suitable for beginners who want real projects rather than theory-only.
Applied Machine Learning for Production
Featured
AI • Intermediate • 6 weeks
Train, evaluate, and deploy ML models with monitoring mindset.
Focuses on building ML features that ship: dataset design, feature engineering, evaluation, model packaging, and reliability practices such as validation and drift awareness.
Data Science Bootcamp (End-to-End)
Featured
Data Science • Beginner • 6 weeks
From raw data to dashboards: cleaning, analysis, and reporting.
Covers real workflows: data cleaning, exploration, visualization, simple models, and producing reports that support decisions. Outcome-driven and portfolio-ready.
Robotics Design & Programming
Robotics • Intermediate • 5 weeks
Control, sensors, and practical robotics programming.
Hands-on robotics: sensors, control basics, and building structured code for repeatable behavior. Ideal for engineering students and prototype teams.
Drone/UAV Design & Autonomy Basics
UAV • Intermediate • 5 weeks
UAV fundamentals, components, and autonomy principles.
Covers UAV components, control basics, safety practices, and how autonomy pipelines are structured. Good for teams building early UAV prototypes.
Programming Track: Java / Matlab / Android
Programming • Beginner • 4–8 weeks (custom)
Solid fundamentals with practical assignments and projects.
Practical programming for engineering outcomes: core syntax, problem-solving, and building small applications. Track is adapted to the selected language and student level.