Cover Advanced AI Engineer Bootcamp — Non-Boost

Advanced AI Engineer Bootcamp — Non-Boost

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11 Video   
1 Kuis   
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Deskripsi

AI Engineer Advance Bootcamp — Paket Non-Boost

Bukan sekadar belajar menggunakan AI — ini adalah program untuk membangun AI dari nol. Peserta akan mengonstruksi neural network, melatih language model, dan men-deploy sistem AI production-grade dengan standar yang sama dengan perusahaan teknologi terkemuka seperti GOTO, Samsung, dan Kata.ai. 

Benefit:

  • 36 sesi × 2 jam (72 jam total) materi production-grade 
  • 5 sesi Fundamental Python & SQL gratis untuk memastikan fondasi yang solid 
  •  8 assignment dengan sistem evaluasi PASS/FAIL berbasis Pull Request — standar kerja nyata 
  • Bangun portofolio nyata: NumpyNet, GPT-mini, QLoRA Fine-tuned LLM, hingga Production RAG System 
  • 3× sesi mentoring 1-on-1 & 2× sesi job preparation 
  • Job placement berbasis headhunter — Recruitment Fee Rp 4 juta hanya dibayar setelah berhasil ditempatkan 
  • Sertifikat
  • Video materi dan modul (akses selamanya)
  • Zoom dan record zoom
  • Grup diskusi

Konten

Persiapan Kelas — AI Engineer Advance

Pre Test

Pra - Python Core for Data Handling

Materi sesi 1
FSB_Data_Quality_Work_Assignment.zip
FSB_Data_Quality_Instructor_Pack.zip
Rekaman kelas sesi 1 Part 1
Rekaman kelas sesi 1 Part 2

Pra - SQLite Schema, Loading & Query Dasar

Materi sesi 2
FSB_Sesi_2_SQLite_Real_Work_Assignment.zip
FSB_Sesi_2_SQLite_Engineering_Project.zip
Rekaman kelas sesi 2 part 1
Rekaman kelas sesi 2 part 2

Pra - CLI Ingest Pipeline + Logging + Eror Handling

Materi sesi 3
FSB_Sesi_3_Pipeline_Real_Work_Assignment.zip
FSB_Sesi_3_Pipeline_Engineering_Project.zip
Rekaman kelas sesi 3 part 1
Rekaman kelas sesi 3 part 2

Pra - SQL Analytics Suite + Metrics Export

Materi sesi 4
FSB_Sesi_4_Analytics_Engineering_Project.zip
FSB_Sesi_4_Analytics_Engineering_Assignment.zip
Rekaman kelas sesi 4 Part 1
Rekaman kelas sesi 4 Part 2

Pra - Capstone Kickoff + Readiness Gate

Materi sesi 5
FSB_Sesi_5_Decision_Ready_Report_Delivery_Lead_Pack.zip
FSB_Sesi_5_Decision_Ready_Report_Analyst_Assignment.zip
Rekaman kelas sesi 5 part 1
Rekaman kelas sesi 5 part 2

Pra - Git Hub Workflow + PR Submission + Review + Demo

Materi sesi 6
Rekaman kelas sesi 6 part 1

Advanced Linear Algebra & Optimization for AI

Probability, Statistics & Information Theory for AI

Advanced ML Algorithms: From Theory to Implementation

Neural Network from Scratch: Forward & Backpropagation

CNN Architecture Engineering: Build & Train Image Models

Sequence Modeling: RNN, LSTM, & Attention from Scratch

Transformer Architecture: Build GPT-mini from Scratch

Tokenization, Embeddings & Pre-training Foundations

Fine-Tuning LLMs: SFT, LoRA & QLoRA

Data Engineering for Fine-Tuning: Curation, Quality & Synthesis

RLHF & Alignment: DPO, PPO, and Reward Modeling

Model Evaluation & Benchmarking: Beyond Accuracy

ML System Design: Architecture Patterns for Production AI

Model Serving & Inference Optimization

Distributed Training & Scalability

RAG Engineering: Build Production Retrieval-Augmented Generation

MLOps for AI Engineers: CI/CD, Experiment Tracking & Versioning

Model Monitoring, Observability & Drift Detection

AI Testing: Unit Tests, Integration Tests & Red Teaming

Responsible AI: Bias, Fairness, Safety & Compliance

Capstone Sprint 1: Architecture & Data Pipeline

Capstone Sprint 2: Model Development & Integration

Capstone Sprint 3: Testing, Optimization & Documentation

Demo Day: Present, Review & Career Launch

Ujian Akhir

Career Preparation - Sesi 1

Career Preparation - Sesi 2

User Test

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