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learning-experience

A centralized repository documenting my learning journey, projects, and coursework at Dicoding Academy and DBS Foundation Coding Camp.

(INDONESIA)

My Learning Journey: DBS Coding Camp 2026 πŸš€

Repositori ini adalah dokumentasi perjalanan saya mengikuti DBS Foundation Coding Camp 2026 di alur belajar AI Engineer. Di sini saya menyimpan catatan, dan progres belajar mingguan.

πŸ“… Timeline & Progress

🏁 Matrikulasi (Minggu 0)

10 Februari 2026

  • Selesai: Kelas "Pengenalan ke Logika Pemrograman".
  • Belajar: Konsep Computational Thinking, Algoritma, dan Gerbang Logika (AND, OR, XOR). Akhirnya paham bedanya logika pemrograman sama ngoding biasa.

12 Februari 2026

  • On Progress: Kelas "Belajar Dasar Git dengan GitHub".
  • Belajar: Mengerti bedanya Git (lokal) dan GitHub (remote), cara pakai perintah dasar (add, commit, push), dan manajemen branch.

πŸ€– Basic AI & Python (Minggu 1 - 2)

16 Februari 2026 (Target)

  • Kelas: "Belajar Dasar AI" & "Memulai Pemrograman dengan Python".
  • Aktivitas: Mulai kenalan sama konsep dasar AI dan sintaks Python.
  • Soft Skill: Ikut sesi ILT tentang Personal Productivity biar manajemen waktu makin oke.

23 Februari 2026 (Target)

  • Kelas: Lanjut Python (Error Handling & OOP).
  • Tech ILT 1: Memperdalam Basics of Python Programming.

🧠 Machine Learning: Start (Minggu 3 - 4)

2 Maret 2026 (Target)

  • Kelas: "Belajar Machine Learning untuk Pemula".
  • Aktivitas: Masuk ke tahap Modelling.
  • Soft Skill: Belajar tentang Growth Mindset & Personal Development.

9 Maret 2026 (Target)

  • Kelas: Machine Learning (Clustering).
  • Tech ILT 2: Belajar Supervised Learning.
  • Event: Ikut sesi Financial Literacy #1.

πŸ•Œ Libur Lebaran (Minggu 5)

16 Maret 2026

  • Break sejenak untuk Lebaran dan Hari Raya Nyepi.

πŸ“ˆ Machine Learning: Advanced (Minggu 6 - 7)

23 Maret 2026 (Target)

  • Kelas: Machine Learning (Evaluasi Model).
  • Aktivitas: Belajar cara analisa error biar model makin akurat.

30 Maret 2026 (Target)

  • Kelas: Machine Learning (Ujian Akhir).
  • Soft Skill: Belajar Stress Management (penting banget pas tugas numpuk).
  • Deadline: Kejar target lulus kelas Machine Learning sebelum 8 April.

πŸ•ΈοΈ Deep Learning (Minggu 8 - 10)

6 April 2026 (Target)

  • Kelas: "Belajar Fundamental Deep Learning".
  • Tech ILT 3: Eksplorasi Unsupervised Learning.
  • Aktivitas: Mulai bikin Neural Network pakai TensorFlow/Keras.

13 April 2026 (Target)

  • Kelas: Deep Learning (Analisis Sentimen).
  • Soft Skill: Belajar Communication & Networking.

20 April 2026 (Target)

  • Kelas: Deep Learning (Computer Vision & Time Series).
  • Tech ILT 4: Deep Dive ke Computer Vision.

πŸš€ Menuju Capstone Project (Minggu 11 - 17)

27 April 2026 (Target)

  • Aktivitas: Mulai Project Management untuk persiapan tugas akhir.
  • Deadline: Menyelesaikan kelas Fundamental Deep Learning sebelum 11 Mei.

4 Mei 2026 (Target)

  • Tech ILT 5: Topik seru nih, NLP dan Generative AI.

18 Mei - Juni 2026 (Target)

  • Fokus Utama: Pengerjaan Capstone Project.
  • Aktivitas: Membangun proyek Deep Learning tingkat mahir, Object Detection, dan deploy model pakai TensorFlow.
  • Goal: Lulus semua kelas teknikal dan soft skills tepat waktu!

(ENGLISH)

My Learning Journey: DBS Coding Camp 2026 πŸš€

This repository documents my journey through the DBS Foundation Coding Camp 2026 (AI Engineer track). I'll be using this space to keep my notes, and track my weekly progress.

πŸ“… Timeline & Progress

🏁 Matriculation (Week 0)

February 10, 2026

  • Done: "Introduction to Programming Logic" course.
  • Learned: Computational Thinking, Algorithms, and Logic Gates (AND, OR, XOR). Finally understood the real difference between just "coding" and actual programming logic.

February 12, 2026

  • On Progress: "Basic Git with GitHub" course.
  • Learned: The difference between Git (local) and GitHub (remote), basic commands (add, commit, push), and handling branches.

πŸ€– Basic AI & Python (Week 1 - 2)

February 16, 2026 (Target)

  • Courses: "Basic AI" & "Starting Programming with Python".
  • Activity: Getting started with AI concepts and Python syntax.
  • Soft Skill: Joining the ILT session on Personal Productivity to boost my time management.

February 23, 2026 (Target)

  • Courses: Continuing Python (Error Handling & OOP).
  • Tech ILT 1: Deep dive into the Basics of Python Programming.

🧠 Machine Learning: Start (Week 3 - 4)

March 2, 2026 (Target)

  • Courses: "Machine Learning for Beginners".
  • Activity: Entering the Modelling phase.
  • Soft Skill: Learning about Growth Mindset & Personal Development.

March 9, 2026 (Target)

  • Courses: Machine Learning (Clustering).
  • Tech ILT 2: Learning Supervised Learning concepts.
  • Event: Joining Financial Literacy Session #1.

πŸ•Œ Eid Holiday (Week 5)

March 16, 2026

  • Taking a short break for Eid and Nyepi Day.

πŸ“ˆ Machine Learning: Advanced (Week 6 - 7)

March 23, 2026 (Target)

  • Courses: Machine Learning (Model Evaluation).
  • Activity: Learning how to analyze errors to make models more accurate.

March 30, 2026 (Target)

  • Courses: Machine Learning (Final Exam).
  • Soft Skill: Stress Management (definitely need this for the workload!).
  • Deadline: Aiming to pass the Machine Learning class before April 8th.

πŸ•ΈοΈ Deep Learning (Week 8 - 10)

April 6, 2026 (Target)

  • Courses: "Fundamental Deep Learning".
  • Tech ILT 3: Exploring Unsupervised Learning.
  • Activity: Starting to build Neural Networks using TensorFlow/Keras.

April 13, 2026 (Target)

  • Courses: Deep Learning (Sentiment Analysis).
  • Soft Skill: Communication & Networking.

April 20, 2026 (Target)

  • Courses: Deep Learning (Computer Vision & Time Series).
  • Tech ILT 4: Deep dive into Computer Vision.

πŸš€ Road to Capstone (Week 11 - 17)

April 27, 2026 (Target)

  • Activity: Starting Project Management to prep for the final project.
  • Deadline: Finishing the Fundamental Deep Learning class before May 11th.

May 4, 2026 (Target)

  • Tech ILT 5: Exciting topic: NLP and Generative AI.

May 18 - June 2026 (Target)

  • Main Focus: Capstone Project.
  • Activity: Building an advanced Deep Learning project, Object Detection, and deploying models with TensorFlow.
  • Goal: Pass all technical classes and soft skills on time!

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A centralized repository documenting my learning journey, projects, and coursework at Dicoding Academy and DBS Foundation Coding Camp.

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