Writing
My 2026 learning path: from Python fundamentals to data science and cloud AI
By Muhamad Fauzan Al Farikhi3 min read
The 2026 courses behind my AI engineering work, with dates: Python and data science at Gunadarma, plus Dicoding courses on AWS Cloud, Gen AI and Kiro.
Skills are easier to trust when they come with dates and certificates. This is the learning path behind my AI engineering and software work in 2026, in order.
February 2026: Python fundamentals
Dasar Pemrograman Python (Fundamental of Python) at Universitas Gunadarma, February 23–28, 2026. The course covered building web applications with Flask and MySQL, including CRUD.
May–June 2026: data science
Pengantar Ilmu Data (Fundamental of Data Science) at Universitas Gunadarma, May 25 – June 6, 2026. The material covered matrices, working with data in Python, NumPy and Pandas, and the data science methodology.
October 2026: Dicoding courses
- Belajar Dasar Cloud dan Gen AI di AWS, October 14, 2026
- Spec-Driven Development dengan Kiro, October 14, 2026
- Memulai Pemrograman dengan Python, October 23, 2026
The Dicoding certificates are verifiable online; see the certificate list on the achievements page.
Putting it to work
- The Forecasting project explores analysis of historical data and prediction.
- NEXA Assistant, a learning assistant on NEXA Campus built with NLP and RAG, offers flashcards, quizzes, practice questions, and summaries.
- NEXA-Sphere applies demand forecasting to F&B purchasing and reached the Top 4 at ICBC 2026.
I also have one year of experience as a Python developer. The path above is the structured part; the projects are where it gets tested.