Is the LLM Training & Fine-Tuning certificate verifiable?

Yes. Every issued Hootix Academy certificate carries a unique credential code that anyone can verify online.

How is the LLM Training & Fine-Tuning exam structured?

It is a 110-minute proctored multiple-choice exam of 77 questions; you need 75% to pass.

Do I need to buy the course to take the exam?

You can purchase the certification exam on its own, or bundle it with the full study course at a reduced price.

How long does the LLM Training & Fine-Tuning course take?

About 40 hours of self-paced study.

LLM Training & Fine-Tuning Certification

Pretrain, align, and adapt large language models like a practitioner

Key facts

Level: Professional
Field: Artificial Intelligence & LLMs
Estimated study time: about 40 hours
Credential price: $149
Exam: 77 questions · 110 minutes · pass mark 75%

About the LLM Training & Fine-Tuning certification

Master the full lifecycle of building and adapting large language models. This professional certification covers pretraining objectives (causal and masked language modeling), training-data curation and deduplication, tokenizer training, and the compute/data/parameter scaling laws (Chinchilla). You will learn distributed training at scale — data, tensor, and pipeline parallelism, ZeRO/FSDP sharding, gradient accumulation and checkpointing — plus mixed-precision training with fp16/bf16 and loss scaling, and learning-rate warmup and decay schedules. The second half is alignment and adaptation: supervised fine-tuning (SFT) and instruction tuning, reinforcement learning from human feedback (RLHF) with reward models and PPO, and Direct Preference Optimization (DPO). You will go deep on parameter-efficient fine-tuning — LoRA, QLoRA, adapters, and prefix/prompt tuning — and learn to avoid catastrophic forgetting, format chat data correctly, evaluate fine-tuned models, and detect overfitting and data contamination, all while reasoning about cost/compute tradeoffs. By the end you can plan, run, and debug a real training or fine-tuning job and defend your design choices against the alternatives.

What you will learn

The official LLM Training & Fine-Tuning study course covers:

Pretraining Objectives & Data — How base models learn: causal vs masked LM, next-token prediction, and the data curation that makes or breaks a corpus.
Tokenizers & Scaling Laws — Building the vocabulary the model thinks in, and the Chinchilla math that tells you how big and how long to train.
Distributed Training at Scale — Splitting a model across many GPUs: data, tensor, and pipeline parallelism, plus ZeRO/FSDP, accumulation, and checkpointing.
Mixed Precision & Optimization — fp16 vs bf16, loss scaling, fp32 master weights, and the warmup/decay schedules that keep training stable.
Fine-Tuning & Alignment — From base model to helpful assistant: SFT and chat templates, RLHF with reward models and PPO, and the simpler DPO.
PEFT, Forgetting & Evaluation — Adapt cheaply with LoRA/QLoRA, avoid catastrophic forgetting and contamination, and evaluate fine-tuned models honestly.
Hands-on Lab — Fine-Tune a Small LLM with LoRA — A fine-tuning capstone in Google Colab: see the causal-LM training objective and mixed precision, then LoRA-fine-tune a small pretrained model on you…

Prerequisites

Deep Learning Professional

Frequently asked questions

Is the LLM Training & Fine-Tuning certificate verifiable?: Yes. Every issued Hootix Academy certificate carries a unique credential code that anyone can verify online.
How is the LLM Training & Fine-Tuning exam structured?: It is a 110-minute proctored multiple-choice exam of 77 questions; you need 75% to pass.
Do I need to buy the course to take the exam?: You can purchase the certification exam on its own, or bundle it with the full study course at a reduced price.
How long does the LLM Training & Fine-Tuning course take?: About 40 hours of self-paced study.