ACADEMY / COURSES / COURSES / NLP-ADVANCED11 LESSONS · 11H 45M
COURSE 07 / 08
★ PREMIUMNatural Language ProcessingAdvancedAdvanced NLP: Training & Production Systems
Master the engineering and production aspects of Natural Language Processing with interactive visualizations. Learn to train, fine-tune, optimize, and deploy language models at scale using modern techniques like LoRA, DPO, Flash Attention, and RAG. Features hands-on tools for exploring distributed training, model parallelism, and inference optimization.
COURSE DATASHEETv2.1
Lessons11
Total runtime11h 45m
DifficultyAdvanced
CategoryNatural Language Processing
TierPremium
Last updated2025-11-25
LocaleEN · RU · ZH
§A · OBJECTIVES
What you’ll be able to do.
01.Master training fundamentals with interactive parallelism visualizations
02.Implement advanced fine-tuning methods including PEFT, LoRA, and QLoRA
03.Design preference alignment systems with RLHF and DPO
04.Optimize inference with quantization, Flash Attention, and KV caching
05.Build production RAG systems with embeddings and vector databases
06.Deploy and monitor language models in production environments
§B · INSTRUMENTS IN THIS COURSE
Working tools, used throughout.
FIG. 01VISUALIZATION
Optimization Techniques Explorer
FIG. 02VISUALIZATION
Decoding Studio
FIG. 03VISUALIZATION
RAG Pipeline Window
FIG. 04VISUALIZATION
Activation Patching
FIG. 05VISUALIZATION
Transformer Architecture Explorer
FIG. 06VISUALIZATION
Tokenization Workbench
FIG. 07VISUALIZATION
Model Training & Parallelism Explorer
FIG. 08VISUALIZATION
Attention Microscope
§C · SYLLABUS
All lessons. Read in order, or jump.
№LESSONKINDTIME
01Training Fundamentals and OptimizationCONCEPT· 90 min90 min→02Training Monitoring and Dataset EngineeringCONCEPT· 60 min60 min→03Distributed Training InfrastructureCONCEPT· 60 min60 min🔒
04Fine-tuning Techniques and Parameter-Efficient MethodsCONCEPT· 75 min75 min🔒
05Preference Alignment and RLHFCONCEPT· 60 min60 min🔒
06Comprehensive Model EvaluationCONCEPT· 45 min45 min🔒
07Model Quantization and CompressionCONCEPT· 60 min60 min🔒
08Inference Optimization StrategiesCONCEPT· 45 min45 min🔒
09Production RAG SystemsCONCEPT· 75 min75 min🔒
10Advanced Model ImplementationsCONCEPT· 75 min75 min🔒
11Production Deployment and OperationsCONCEPT· 60 min60 min🔒