APX Academy · Kathmandu
Hands-on training in programming languages, machine learning, and industry ML frameworks—taught by working engineers at APX Creation.
APX Academy is the training arm of APX Creation. Our courses cover foundational programming in C, C++, and Python, a structured machine learning path from preparatory math through deep learning, and hands-on work with the frameworks teams actually use in production.
Core language courses for students, career-changers, and engineers who need strong fundamentals.
Memory management, pointers, structs, file I/O, and systems thinking—the foundation for embedded, OS, and performance-critical software.
Object-oriented design, STL, modern C++ (C++11/14/17), and patterns used in game engines, finance, and high-performance applications.
From scripts to structured applications: Python fundamentals through APIs, automation, and the skills needed before data science or ML work.
Preparatory courses plus core ML—designed as a progressive track from prerequisites to deployable models.
Linear algebra, probability, and statistics explained for ML practitioners—not abstract math for its own sake.
NumPy, Pandas, Matplotlib, and Jupyter workflows—the toolkit you need before any ML or deep learning course.
Supervised and unsupervised learning, model evaluation, feature engineering, and end-to-end ML pipelines on real datasets.
Neural networks, CNNs, RNNs, transfer learning, and practical training workflows for vision and sequence problems.
Framework-specific courses for engineers ready to build and ship models with industry-standard libraries.
Focused deep-dive on numerical computing and tabular data manipulation for ML pipelines.
ApplyClassical ML algorithms, pipelines, hyperparameter tuning, and model persistence with scikit-learn.
ApplyBuild, train, and export neural networks with Keras on TensorFlow—including saved models and serving basics.
ApplyDynamic computation graphs, custom training loops, and research-to-production workflows with PyTorch.
ApplyC, C++, or Python
Math + Python for Data Science
ML Fundamentals & Deep Learning
scikit-learn, TensorFlow, PyTorch
University students and career-changers looking for high-impact, industry-relevant skills.
Engineering departments seeking to upskill in emerging technologies like AI, Cloud, and Security.
CTOs and Lead Developers who need to understand the strategic implementation of new tech stacks.
Colleges and universities looking to modernize their curricula with industry-standard labs.
Click Apply on any course—you’ll land on our contact page with the course pre-selected. Tell us your background and preferred batch.
A brief technical discussion to ensure the program matches your skill level and goals.
Receive your access to our learning management system and project repositories.
Engage in live sessions, hands-on labs, and real-world project development.