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Artificial Intelligence · Intermediate

Artificial Intelligence Mahasiswa — Intermediate

Deep Learning, NLP, dan Computer Vision praktis untuk mahasiswa teknik dan sains.

12 Weeks 5 Weeks Intermediate

About This Learning Path

Program Intermediate mahasiswa mengajarkan deep learning dengan TensorFlow/PyTorch, NLP modern, dan Computer Vision. Cocok untuk mahasiswa teknik, informatika, dan sains yang ingin membangun proyek AI serius untuk skripsi atau portofolio industri. Output: 3 proyek deep learning (CV, NLP, tabular), GitHub portfolio aktif, dan laporan teknis.

Curriculum Roadmap — 12 Weeks

Week 1 Minggu 1–3: Deep Learning Framework 5 lessons

TensorFlow vs PyTorch, neural network architecture, dan training best practices.

TensorFlow vs PyTorch: Kapan Pakai yang Mana? Video · 45 min
Neural Network Architecture Deep Dive Article · 50 min
Training Loop: Loss, Optimizer, Scheduler Video · 55 min
GPU Training: Colab & Cloud Setup Article · 40 min
Experiment Tracking dengan MLflow & W&B Video · 45 min
Week 2 Minggu 4–5: Computer Vision Projects 4 lessons

CNN lanjutan, object detection, dan segmentasi untuk aplikasi nyata.

CNN Architecture: ResNet, EfficientNet, ViT Video · 55 min
Object Detection: YOLO v8 Implementation Article · 60 min
Semantic Segmentation: U-Net Video · 55 min
Project CV: Deteksi & Klasifikasi Custom Dataset File · 120 min
Week 3 Minggu 6–7: Natural Language Processing 4 lessons

Transformers, BERT fine-tuning, dan membangun NLP pipeline dari scratch.

Transformers Architecture: Encoder-Decoder Video · 60 min
Hugging Face: Fine-tuning BERT & RoBERTa Article · 60 min
Text Generation dengan GPT-2 Video · 50 min
Project NLP: Analisis Sentimen & Klasifikasi Berita File · 120 min
Week 4 Minggu 8–9: Tabular Data & Ensemble Methods 4 lessons

XGBoost, LightGBM, CatBoost, dan strategi feature engineering lanjutan.

Gradient Boosting: XGBoost & LightGBM Video · 55 min
Feature Engineering Lanjutan: Encoding & Scaling Article · 50 min
Hyperparameter Tuning: Optuna & GridSearch Video · 50 min
Project Tabular: Prediksi Credit Scoring File · 120 min
Week 5 Minggu 10–12: Deployment & Portfolio 5 lessons

Deploy model ke cloud, FastAPI, dan membangun GitHub portfolio profesional.

Model Deployment dengan FastAPI Video · 55 min
Docker untuk AI Applications Article · 50 min
Deploy ke Cloud: AWS/GCP/Hugging Face Video · 55 min
GitHub Portfolio: Profile README & Project Showcase Article · 40 min
Mock Interview: AI Engineering Questions Live · 90 min

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Path Details

Duration 12 Weeks
Level Intermediate
Category Artificial Intelligence
Weeks 5
Total Lessons 54445 lessons

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