Referensi Belajar Lengkap — GenAI Learning Hub
Kumpulan resource terbaik untuk setiap fase, dikurasi berdasarkan kualitas dan relevansi.
Legenda:
- ⭐ Wajib (essential, jangan skip)
- 🎥 Video
- 📖 Teks/Artikel
- 📚 Buku
- 💻 Interaktif/Hands-on
- 🆓 Gratis
- 💰 Berbayar (harga dicantumkan)
- 🇮🇩 Bahasa Indonesia
Fase 1 — Dasar AI + Mindset + Setup
🎥 Video (Gratis)
| Resource | Durasi | Kenapa Bagus |
|---|---|---|
| ⭐ 3Blue1Brown — Neural Networks | 4 video, ~1 jam | Visualisasi terbaik di internet. Bikin neural network "klik" di otak |
| ⭐ Andrej Karpathy — Intro to LLMs | 1 jam | Overview LLM dari orang yang build GPT di OpenAI |
| StatQuest — Machine Learning Fundamentals | Playlist 50+ video | Penjelasan statistik/ML paling clear, humor khas |
| Fireship — AI Explained in 100 Seconds | 2 menit | Quick overview kalau mau refresh cepat |
| CrashCourse — AI Playlist | 20 video | Pengantar AI yang fun dan accessible |
📖 Teks (Gratis)
| Resource | Kenapa Bagus |
|---|---|
| ⭐ The Illustrated Transformer — Jay Alammar | Visualisasi transformer terbaik. Wajib baca sebelum Fase 6 |
| ⭐ Google ML Crash Course | Kursus gratis dari Google, interaktif, 15 jam |
| Distill.pub | Artikel riset AI dengan visualisasi interaktif |
| IBM — AI vs ML vs DL | Penjelasan resmi yang ringkas |
| Visual Intro to ML — R2D3 | Visualisasi decision tree yang indah |
📚 Buku
| Buku | Harga | Kenapa Bagus |
|---|---|---|
| ⭐ "Hands-On Machine Learning" — Aurélien Géron | 💰 ~$60 | Bible-nya ML praktis. Scikit-learn + TensorFlow + Keras |
| "Deep Learning" — Goodfellow, Bengio, Courville | 🆓 PDF gratis | Textbook akademik DL. Berat tapi komprehensif |
| "AI Superpowers" — Kai-Fu Lee | 💰 ~$15 | Non-teknis, perspektif industri AI global |
💰 Kursus Berbayar
| Kursus | Platform | Harga | Kenapa Worth It |
|---|---|---|---|
| ⭐ Andrew Ng — Machine Learning Specialization | Coursera | ~$49/bulan (bisa audit gratis) | Gold standard. Semua orang di AI pernah ambil ini |
| Andrew Ng — Deep Learning Specialization | Coursera | ~$49/bulan | 5 course, dari neural net sampai sequence model |
| Complete ML & Data Science Bootcamp | Udemy | ~$15 saat sale | Value bagus, project-based |
🇮🇩 Resource Indonesia
| Resource | Tipe | Harga |
|---|---|---|
| Dicoding — Belajar Dasar AI | Course | 🆓 |
| DQLab — Data Science Intro | Course | 💰 subscription |
| Indonesia AI Community (Discord) | Komunitas | 🆓 |
| Nodeflux AI Academy | Course | 💰 |
🎙️ Podcast
| Podcast | Kenapa Bagus |
|---|---|
| Lex Fridman Podcast | Wawancara mendalam dengan tokoh AI (Karpathy, LeCun, Hinton) |
| Practical AI | Fokus implementasi, bukan hype |
Fase 2 — Python untuk AI
🎥 Video (Gratis)
| Resource | Durasi | Kenapa Bagus |
|---|---|---|
| ⭐ Corey Schafer — Python Tutorials | 100+ video | Penjelasan paling jelas per topik. OOP, decorators, generators |
| freeCodeCamp — Python Full Course | 4.5 jam | Satu video lengkap dari nol |
| Sentdex — Python Basics | Playlist | Practical, langsung ke contoh nyata |
| Tech With Tim — Python OOP | 6 video | OOP explained well untuk pemula |
📖 Teks (Gratis)
| Resource | Kenapa Bagus |
|---|---|
| ⭐ Real Python | Tutorial terbaik per topik. Search apa aja ada |
| ⭐ Automate the Boring Stuff | Buku gratis online. Practical Python |
| Python Official Docs | Official tutorial, surprisingly readable |
| W3Schools Python | Quick reference, try-it-yourself |
| Python Cheatsheet | Referensi cepat semua syntax |
📚 Buku
| Buku | Harga | Kenapa Bagus |
|---|---|---|
| ⭐ "Python Crash Course" — Eric Matthes | 💰 ~$40 | Best first Python book. Project-based |
| "Fluent Python" — Luciano Ramalho | 💰 ~$55 | Untuk setelah paham dasar. Pythonic code |
| "Think Python" — Allen Downey | 🆓 online | Pendekatan CS, gratis |
💻 Interaktif
| Platform | Kenapa Bagus |
|---|---|
| ⭐ Exercism — Python Track | 140+ exercises, gratis, ada mentoring |
| HackerRank — Python | Challenges bertingkat, sertifikat |
| LeetCode | Untuk algoritma (nanti di fase lanjut) |
| Kaggle Learn — Python | Micro-course 4 jam, langsung di browser |
| Codecademy Python | Interaktif, sebagian gratis |
🇮🇩 Resource Indonesia
| Resource | Tipe | Harga |
|---|---|---|
| Dicoding — Memulai Pemrograman dengan Python | Course | 🆓 |
| Sekolah Koding — Python | Video | 🆓/💰 |
| Kelas Terbuka — Python (YouTube) | Video | 🆓 |
Fase 3 — Prompt Engineering & Math Intuition
🎥 Video (Gratis)
| Resource | Durasi | Kenapa Bagus |
|---|---|---|
| ⭐ 3Blue1Brown — Essence of Linear Algebra | 16 video | Visualisasi vektor/matriks terbaik. Wajib |
| ⭐ 3Blue1Brown — Essence of Calculus | 12 video | Intuisi kalkulus tanpa rumus berat |
| ⭐ DeepLearning.AI — ChatGPT Prompt Engineering for Developers | 1 jam | Andrew Ng + OpenAI. Gratis, hands-on |
| Khan Academy — Linear Algebra | Full course | Dari nol, step by step |
| Khan Academy — Statistics & Probability | Full course | Fondasi statistik |
📖 Teks (Gratis)
| Resource | Kenapa Bagus |
|---|---|
| ⭐ OpenAI Prompt Engineering Guide | Official, best practices langsung dari OpenAI |
| ⭐ Anthropic Prompt Engineering Guide | Teknik prompting untuk Claude |
| ⭐ Learn Prompting | Course gratis, dari basic sampai advanced |
| Mathematics for Machine Learning | 🆓 Buku gratis. Vektor, matriks, kalkulus untuk ML |
| Seeing Theory — Statistics | Visualisasi interaktif probabilitas & statistik |
📚 Buku
| Buku | Harga | Kenapa Bagus |
|---|---|---|
| "Mathematics for Machine Learning" — Deisenroth | Semua math yang kamu butuhkan untuk ML | |
| "The Art of Prompt Engineering" — various | 💰 ~$30 | Kompilasi teknik prompting |
| "Linear Algebra Done Right" — Sheldon Axler | 💰 ~$40 | Kalau mau deep dive linear algebra |
💰 Kursus Berbayar
| Kursus | Platform | Harga |
|---|---|---|
| Mathematics for ML & Data Science | Coursera (DeepLearning.AI) | ~$49/bulan |
| Prompt Engineering for ChatGPT | Coursera (Vanderbilt) | ~$49/bulan |
Fase 4 — NumPy, Pandas, Visualisasi
🎥 Video (Gratis)
| Resource | Durasi | Kenapa Bagus |
|---|---|---|
| ⭐ Keith Galli — Pandas Complete Tutorial | 1 jam | Satu video, langsung paham Pandas |
| ⭐ Corey Schafer — Pandas Series | 11 video | Per-topik, detail |
| freeCodeCamp — Data Analysis with Python | 10 jam | Full course gratis |
| Sentdex — Matplotlib Tutorial | Playlist | Visualisasi dari dasar |
📖 Teks (Gratis)
| Resource | Kenapa Bagus |
|---|---|
| ⭐ Kaggle Learn — Pandas | Micro-course 4 jam, hands-on di browser |
| ⭐ Kaggle Learn — Data Visualization | Seaborn + Matplotlib |
| Pandas Official — 10 Minutes to Pandas | Quick start official |
| NumPy Official — Absolute Beginners | Tutorial resmi untuk pemula |
| Python Data Science Handbook | 🆓 Buku online. NumPy + Pandas + Matplotlib + Scikit-learn |
📚 Buku
| Buku | Harga | Kenapa Bagus |
|---|---|---|
| ⭐ "Python Data Science Handbook" — Jake VanderPlas | 🆓 online | Gratis, komprehensif |
| "Python for Data Analysis" — Wes McKinney | 💰 ~$50 | Dari creator Pandas sendiri |
💻 Interaktif
| Platform | Kenapa Bagus |
|---|---|
| ⭐ Kaggle Notebooks | Ribuan contoh EDA, gratis GPU |
| Google Colab | Jupyter di cloud, gratis |
Fase 5 — Machine Learning
🎥 Video (Gratis)
| Resource | Durasi | Kenapa Bagus |
|---|---|---|
| ⭐ StatQuest — Machine Learning | 50+ video | Penjelasan algoritma ML paling intuitif |
| ⭐ Andrew Ng — ML Specialization | 3 courses | Bisa audit gratis. Gold standard |
| Sentdex — ML with Python | Playlist | Practical, langsung code |
| Josh Starmer (StatQuest) — Cross Validation | 6 menit | Konsep penting, explained perfectly |
📖 Teks (Gratis)
| Resource | Kenapa Bagus |
|---|---|
| ⭐ Scikit-learn User Guide | Dokumentasi + tutorial per algoritma |
| ⭐ Kaggle Learn — Intro to ML | Hands-on, 3 jam |
| Kaggle Learn — Intermediate ML | XGBoost, pipelines, data leakage |
| Machine Learning Mastery | Blog tutorial per topik, sangat praktis |
| Google ML Crash Course | Interaktif, 15 jam |
📚 Buku
| Buku | Harga | Kenapa Bagus |
|---|---|---|
| ⭐ "Hands-On Machine Learning" — Géron | 💰 ~$60 | Best ML book. Scikit-learn + TF |
| "Introduction to Statistical Learning" (ISLR) | Teori ML dengan R, tapi konsep universal | |
| "The Hundred-Page Machine Learning Book" — Burkov | 💰 ~$30 | Ringkas, padat, bagus untuk review |
💻 Interaktif
| Platform | Kenapa Bagus |
|---|---|
| ⭐ Kaggle Competitions — Getting Started | Titanic, House Prices. Wajib coba |
| MLflow | Experiment tracking (nanti di production) |
Fase 6 — Deep Learning + GenAI
🎥 Video (Gratis)
| Resource | Durasi | Kenapa Bagus |
|---|---|---|
| ⭐ Andrej Karpathy — Neural Networks: Zero to Hero | 10+ jam | Build neural net dari nol. Legendary |
| ⭐ Fast.ai — Practical Deep Learning | Full course | Top-down approach, langsung praktik |
| PyTorch Official Tutorials | Banyak | Official, well-maintained |
| Hugging Face — NLP Course | Full course | Transformers, fine-tuning, gratis |
| DeepLearning.AI — Short Courses | 1-2 jam each | Banyak topik: LangChain, Finetuning, RAG |
📖 Teks (Gratis)
| Resource | Kenapa Bagus |
|---|---|
| ⭐ The Illustrated Transformer | Visualisasi attention/transformer terbaik |
| ⭐ Hugging Face Documentation | Docs + tutorials untuk transformers library |
| PyTorch Documentation | Official reference |
| Papers With Code | Paper + implementasi. Bagus untuk riset |
| Lil'Log — Lilian Weng | Blog post mendalam tentang DL/LLM topics |
| The Annotated Transformer | Transformer paper di-annotate dengan PyTorch code |
📚 Buku
| Buku | Harga | Kenapa Bagus |
|---|---|---|
| "Deep Learning" — Goodfellow et al. | 🆓 deeplearningbook.org | Textbook klasik, gratis |
| "Dive into Deep Learning" — d2l.ai | 🆓 d2l.ai | Interaktif, code di setiap chapter |
| "Natural Language Processing with Transformers" — Tunstall | 💰 ~$55 | Hugging Face team. Practical NLP |
💰 Kursus Berbayar
| Kursus | Platform | Harga |
|---|---|---|
| ⭐ Deep Learning Specialization | Coursera | ~$49/bulan |
| Full Stack Deep Learning | FSDL | 🆓 (video) / 💰 (live) |
| Fast.ai Part 2 — Foundations | fast.ai | 🆓 |
Fase 7 — RAG, LLM Apps, Capstone
🎥 Video (Gratis)
| Resource | Durasi | Kenapa Bagus |
|---|---|---|
| ⭐ DeepLearning.AI — LangChain for LLM Application Development | 1 jam | Andrew Ng + Harrison Chase. Gratis |
| ⭐ DeepLearning.AI — Building Systems with ChatGPT API | 1 jam | Patterns untuk production LLM apps |
| DeepLearning.AI — LangChain: Chat with Your Data | 1 jam | RAG step-by-step |
| DeepLearning.AI — Vector Databases | 1 jam | Embedding + vector DB |
| James Briggs — RAG Tutorials | Playlist | Pinecone developer advocate, practical |
📖 Teks (Gratis)
| Resource | Kenapa Bagus |
|---|---|
| ⭐ LangChain Documentation | Official docs, banyak contoh |
| ⭐ LlamaIndex Documentation | Alternative framework, bagus untuk RAG |
| Anthropic Claude Documentation | API reference + best practices |
| OpenAI Cookbook | Recipes untuk berbagai use case |
| Pinecone Learning Center | Vector DB concepts + tutorials |
| Streamlit Documentation | Untuk build UI demo cepat |
📚 Buku
| Buku | Harga | Kenapa Bagus |
|---|---|---|
| "Building LLM Apps" — Valentina Alto | 💰 ~$40 | End-to-end LLM application development |
| "Developing Apps with GPT-4 and ChatGPT" — Caelen & Bressler | 💰 ~$35 | Practical, project-based |
💻 Interaktif
| Platform | Kenapa Bagus |
|---|---|
| ⭐ Google Colab | Gratis GPU, langsung code |
| Hugging Face Spaces | Deploy demo gratis |
| Streamlit Community Cloud | Deploy Streamlit app gratis |
| Replit | Quick prototyping di browser |
Resource Lintas Fase (General)
Komunitas
| Komunitas | Platform | Kenapa Berguna |
|---|---|---|
| ⭐ r/MachineLearning | Paper discussions, industry news | |
| ⭐ r/LocalLLaMA | Open source LLM community | |
| Hugging Face Discord | Discord | Tanya jawab, model releases |
| MLOps Community | Slack | Production ML |
| 🇮🇩 Indonesia AI | Discord | Komunitas AI Indonesia |
| 🇮🇩 Data Science Indonesia | Telegram | Diskusi data science |
Newsletter
| Newsletter | Kenapa Bagus |
|---|---|
| The Batch — Andrew Ng | Weekly AI news, curated |
| TLDR AI | Daily AI news, 5 menit baca |
| Ahead of AI — Sebastian Raschka | Deep dives, monthly |
Tools yang Wajib Dikuasai
| Tool | Fungsi | Kapan Dipelajari |
|---|---|---|
| Git + GitHub | Version control | Fase 1 |
| Jupyter Notebook | Eksperimen code | Fase 2 |
| Google Colab | Cloud notebook + GPU | Fase 4 |
| VS Code + Extensions | Editor utama | Fase 1 |
| Docker | Containerization | Fase 7 |
| Streamlit | Quick UI | Fase 7 |
Tips Memilih Resource
- Jangan belajar dari terlalu banyak sumber sekaligus. Pilih 1-2 per topik, selesaikan, baru cari tambahan.
- Video untuk intuisi, teks untuk detail. Tonton video dulu untuk "big picture", baca docs untuk implementasi.
- Paid courses worth it kalau: kamu butuh struktur, accountability, atau sertifikat. Kalau self-motivated, free resources sudah cukup.
- Bahasa Inggris = lebih banyak resource. Investasi waktu untuk nyaman baca/dengar Inggris teknis sangat worth it.
- Hands-on > passive watching. Setiap 30 menit nonton, habiskan 60 menit coding.