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NLP & Large Language Model Engineering

Build, fine-tune, and deploy language AI systems

Build and fine-tune large language models. Master transformers, prompt engineering, and RAG systems.

Enroll Now — $2,100 See Curriculum
200
Total Hours
14
Weeks
7
Modules
~14
Hrs/Week
Course Overview
🎬 Course Overview NLP & Large Language Model Engineering — what you'll build, how labs work, and why AI Labs is a complete learning environment.
Course Components
📘
10
Topics
🔬
3
Hands-on Labs
📋
3
Quizzes
Legend
Topic
Exercise
Lab
Quiz
Mini Project
Capstone
Activity
Reading
Forum
Career
Complete Course Structure & Table of Contents
📡
Live instructor-led delivery · classes run 3 days a week. The topics below are covered in live sessions; recorded versions will be available after class delivery.
MOD 01
NLP Fundamentals
Text processing, embeddings, and classical NLP
3h 20m ▾
📘
Text Preprocessing Pipeline Topic
Tokenization, stemming, lemmatization, cleaning
22 min
📘
Word Embeddings Deep Dive Topic
Word2Vec, GloVe, FastText, and contextual embeddings
30 min
📘
Text Classification & Sentiment Topic
Building NLP classifiers with transformers
28 min
🔬
NLP Pipeline Lab Lab 🧪 Jupyter Notebook · Intermediate
Build a complete text classification pipeline
1h 30m
📋
NLP Fundamentals - Module Test Quiz
Test your knowledge of NLP Fundamentals
30 min
MOD 02
Large Language Models
Understanding and working with LLMs
6 hrs ▾
📘
LLM Architecture Deep Dive Topic
GPT, LLaMA, Mistral architectures explained
40 min
📘
Prompt Engineering Mastery Topic
Chain-of-thought, few-shot, system prompts
35 min
📘
Fine-Tuning LLMs Topic
LoRA, QLoRA, full fine-tuning strategies
45 min
📘
LLM Evaluation & Safety Topic
Benchmarks, red-teaming, alignment techniques
30 min
🔬
LLM Fine-Tuning Lab Lab 🧪 LLM Fine-Tuning · Advanced
Fine-tune a 7B parameter model with QLoRA
3 hrs
📋
Large Language Models - Module Test Quiz
Test your knowledge of Large Language Models
30 min
MOD 03
RAG Systems
Retrieval-Augmented Generation and vector databases
4h 45m ▾
📘
Vector Databases & Embeddings Topic
ChromaDB, Pinecone, embedding strategies
30 min
📘
Building RAG Pipelines Topic
Document loading, chunking, retrieval, generation
40 min
📘
Advanced RAG Techniques Topic
Hybrid search, re-ranking, query expansion
35 min
🔬
RAG System Lab Lab 🧪 RAG & Vector DB · Advanced
Build a production RAG chatbot with LangChain
2h 30m
📋
RAG Systems - Module Test Quiz
Test your knowledge of RAG Systems
30 min
Live Instructor-Led Batches

Learn with a cohort — live Zoom sessions, Q&A, and lifetime access to recordings.

🐦
Early Bird — 5% off when you enroll 10+ days before your batch starts. Discount auto-applies at checkout. No code needed.
upcoming 🐦 Early Bird 5% off

NLP & Large Language Model Engineering — June Cohort 2026

Instructor: AI Labs Instructor
  • 📅Jun 15, 2026 – Sep 20, 2026
  • 🕐Tuesdays & Thursdays, 7–9 PM CST
$2,100 $1,995 You save $105
upcoming 🐦 Early Bird 5% off

NLP & Large Language Model Engineering — July Cohort 2026

Instructor: AI Labs Instructor
  • 📅Jul 15, 2026 – Oct 20, 2026
  • 🕐Tuesdays & Thursdays, 7–9 PM CST
$2,100 $1,995 You save $105
Ready to start?

$2,100

Online lectures + LLM fine-tuning labs + Team projects

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Frequently asked questions about this program

What level is the NLP & Large Language Model Engineering program? +
Advanced. Total program length is 14 Weeks (200+ Hours of combined live instruction and lab time).
What prerequisites do I need? +
Deep Learning course or strong neural network background; Python proficiency; Familiarity with PyTorch
Does this course include hands-on lab work? +
Yes. This program includes hands-on lab time in 4 cloud lab environments provisioned by AI Labs. Every student gets a personal cloud workspace plus on-prem workstation access at our Houston Training Center.
Is this delivered online or in person? +
Both. The default delivery is Online lectures + LLM fine-tuning labs + Team projects. In-person sessions are available at our Houston Training Center for any student who prefers on-site delivery.
What roles does this program prepare me for? +
NLP Engineer, LLM Application Developer, AI Solutions Architect, Conversational AI Engineer.
Do I receive a certificate at the end? +
Yes. Every program ends with a capstone project and a verifiable AI Labs completion certificate. Certificates are issued via our LMS and include the capstone work as a portfolio link.
How much does the program cost and are payment plans available? +
Program tuition is $2,100. Most students use our 2-installment plan (50% at enrollment, 50% midway through). Enterprise + nonprofit pricing is available — contact us for a quote.

Labs used in this course

Hands-on environments you'll spin up during the program.

GPU Training Lab

Single-GPU environment for training deep learning models, running computer vision pipelines, and experimenting with neural network architect…

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LLM Fine-Tuning Lab

High-memory GPU environment purpose-built for fine-tuning large language models. Supports full fine-tuning of 7B+ parameter models and param…

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LLM Inference & Serving Lab

Environment for deploying, serving, and benchmarking LLM inference. Students learn to optimize serving throughput, configure quantized model…

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RAG & Vector Database Lab

Pre-configured environment for building retrieval-augmented generation systems. Includes vector databases, embedding model APIs, document pr…

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