AI & Technology Course Catalog

LLM Customisation & Model Adaptation Supervised Fine-Tuning (SFT): Engineering and Optimisation RuneLab Academy · 18 hours

Deep-dive engineering course on Supervised Fine-Tuning (SFT): completion-only loss masking, sequence packing, FlashAttention-2, NEFTune, learning rate schedules and production workflows with TRL SFTTrainer and Axolotl.

18 hours

Live Course

5 modules

LLM Customisation & Model Adaptation Parameter-Efficient Fine-Tuning (PEFT): Architectures and Multi-Adapter Serving RuneLab Academy · 18 hours

Course on PEFT architectures—LoRA, DoRA, rsLoRA, VeRA, LoftQ, IA3 and Prefix Tuning—VRAM memory budgeting and serving dozens of dynamic adapters on a single base model with vLLM and SGLang.

18 hours

Live Course

5 modules

LLM Customisation & Model Adaptation Practical LLM Fine-Tuning with LoRA and QLoRA RuneLab Academy · 12 hours

Hands-on training on Low-Rank Adaptation (LoRA) and 4-bit NormalFloat (NF4) QLoRA: rank/alpha tuning, target modules, double quantisation, paged optimizers and safe adapter merging.

12 hours

Live Course

5 modules

LLM Customisation & Model Adaptation Instruction Tuning: Following Complex Instructions, Schemas and Domain Constraints RuneLab Academy · 12 hours

Course on designing and running instruction tuning so models reliably follow complex system prompts, strict JSON/schema constraints, corporate tone and refusal boundaries.

12 hours

Live Course

5 modules

LLM Customisation & Model Adaptation Preference Optimization: DPO, ORPO, KTO and LLM Alignment RuneLab Academy · 12 hours

Advanced course on post-SFT alignment using DPO, IPO, KTO, ORPO and SimPO: building chosen/rejected preference datasets, tuning beta and KL constraints, and avoiding length bias and reward hacking.

12 hours

Live Course

5 modules

LLM Customisation & Model Adaptation Synthetic Data Generation: Data Synthesis and Distillation for LLM Training RuneLab Academy · 12 hours

Hands-on course on generating high-diversity SFT and preference datasets in low-resource enterprise domains using teacher LLMs, Evol-Instruct, persona matrices, Distilabel and verification filters.

12 hours

Live Course

5 modules

LLM Customisation & Model Adaptation Training Data Design: Dataset Architecture for LLM Fine-Tuning RuneLab Academy · 12 hours

Hands-on course on designing high-leverage SFT and multi-turn conversation datasets: the LIMA principle, task mixture ratios, expert annotation guidelines, schema design and dataset versioning.

12 hours

Live Course

5 modules

LLM Customisation & Model Adaptation Model Evaluation and Fine-Tuning Evals for Custom LLMs RuneLab Academy · 12 hours

Course on evaluating fine-tuned LLMs for task accuracy, catastrophic forgetting regressions, hallucination and safety drift using lm-evaluation-harness, custom task suites and pairwise arena comparisons.

12 hours

Live Course

5 modules

LLM Customisation & Model Adaptation Open-Weight Model Adaptation: Customising Llama, Qwen, Mistral and Gemma RuneLab Academy · 12 hours

Course on adapting open-weight models—Llama, Qwen, Mistral, Gemma and DeepSeek—for enterprise use: architectural differences, custom tokens, post-training quantisation (AWQ/GGUF/FP8) and self-hosted serving.

12 hours

Live Course

5 modules

LLM Customisation & Model Adaptation Turkish Language Models: Tokenization, Evaluation and Adaptation RuneLab Academy · 12 hours

Course on adapting LLMs for Turkish: morphological challenges in BPE tokenization, vocabulary extension, continual pre-training, Turkish evaluation benchmarks and cultural/regulatory alignment.

12 hours

Live Course

5 modules

LLM Customisation & Model Adaptation Distributed LLM Training with PyTorch FSDP and DeepSpeed RuneLab Academy · 24 hours

Advanced course on scaling LLM training across multi-GPU and multi-node clusters using Data, Tensor, Pipeline and Context Parallelism, DeepSpeed ZeRO-1/2/3, PyTorch FSDP2 and communication profiling.

24 hours

Live Course

5 modules

LLM Customisation & Model Adaptation Reinforcement Learning for Reasoning Models (GRPO and RLVR) RuneLab Academy · 24 hours

Advanced hands-on course on training DeepSeek-R1-style reasoning models using Reinforcement Learning with Verifiable Rewards (RLVR) and critic-free Group Relative Policy Optimization (GRPO).

24 hours

Live Course

5 modules

LLM Customisation & Model Adaptation Dataset Quality and Decontamination for LLM Training RuneLab Academy · 12 hours

Course on auditing and cleaning LLM training datasets: exact and MinHash/semantic deduplication, train-test and benchmark decontamination, perplexity/judge quality filtering and PII scrubbing.

12 hours

Live Course

5 modules

Local & On-Premise LLM Platforms LLM Model Serving and Deployment Fundamentals RuneLab Academy · 12 hours

Shows how an open-weight LLM is served as an OpenAI-compatible API on a GPU server: inference engines, VRAM math, core serving settings and a first benchmark. An entry-level programme for developer and platform teams.

12 hours

Live Course

5 modules

Local & On-Premise LLM Platforms LLM Serving with vLLM: Production Inference Deployment RuneLab Academy · 12 hours

High-throughput LLM serving with vLLM: PagedAttention, continuous batching, tensor parallelism, prefix caching, multi-LoRA serving and Prometheus metrics. Teams leave with a production-ready vLLM deployment and benchmark report.

12 hours

Live Course

5 modules

Local & On-Premise LLM Platforms Hugging Face Text Generation Inference (TGI) for LLM Serving RuneLab Academy · 12 hours

Serving LLMs with Hugging Face Text Generation Inference (TGI): Docker setup, sharding, quantization, Messages API, structured output with guidance and Inference Endpoints. A hands-on programme for teams in the Hugging Face ecosystem.

12 hours

Live Course

5 modules

Local & On-Premise LLM Platforms Running Local LLMs with Ollama RuneLab Academy · 12 hours

Running open-weight models on laptops, workstations or servers with Ollama: model library, Modelfile, REST/OpenAI-compatible API, Open WebUI, embeddings and a shared team setup. For fast prototyping and confidential-data scenarios.

12 hours

Live Course

5 modules

Local & On-Premise LLM Platforms LLM Serving Stack Mastery: FastAPI, vLLM, KServe and Triton RuneLab Academy · 18 hours

Combines a FastAPI model API layer, vLLM for LLM inference, KServe for model management on Kubernetes and Triton for multi-framework serving in one architecture. Participants build an end-to-end, scalable model serving stack.

18 hours

Live Course

6 modules

Local & On-Premise LLM Platforms LLM Quantization: INT8, INT4, FP8, FP16 and BF16 in Practice RuneLab Academy · 12 hours

FP16/BF16, FP8, INT8 and INT4 precision options for LLMs; post-training quantization with GPTQ, AWQ, GGUF and bitsandbytes, measuring quality loss with evals and verifying VRAM and throughput gains through benchmarks.

12 hours

Live Course

5 modules

Local & On-Premise LLM Platforms Dynamic Quantization for Neural Networks and LLMs RuneLab Academy · 12 hours

Accelerating models with dynamic quantization without calibration data: PyTorch and ONNX Runtime dynamic quantization, FP8 dynamic activation scaling, comparison with static methods and measurement on CPU and GPU.

12 hours

Live Course

5 modules

Local & On-Premise LLM Platforms Quantization-Aware Training, QLoRA Fine-Tuning and Quantized Serving RuneLab Academy · 12 hours

Covers quantization end to end from training to serving: 4-bit fine-tuning with QLoRA, quantization-aware training (QAT), merging adapters, re-quantizing and serving in vLLM. For teams adapting models to company data on a single GPU.

12 hours

Live Course

5 modules

Local & On-Premise LLM Platforms GPU Capacity Planning and Hardware Sizing for LLM Inference RuneLab Academy · 12 hours

GPU capacity planning for LLM workloads: deriving VRAM, GPU count and server needs from model size, context length, concurrent users and SLO targets, plus a cost comparison of H100/H200/B200, L40S and cloud options.

12 hours

Live Course

5 modules

Local & On-Premise LLM Platforms In-House LLM Platform Architecture: From Hardware Sizing to Air-Gapped Production RuneLab Academy · 12 hours

End-to-end in-house LLM platform design for data residency and regulated environments: GPU sizing, Kubernetes cluster, vLLM/Triton serving, model gateway, security and air-gapped production architecture. Built for platform and infrastructure teams.

12 hours

Live Course

5 modules

Local & On-Premise LLM Platforms Air-Gapped LLM Deployment, Offline Registry Mirroring and Update Operations RuneLab Academy · 12 hours

Deploying and updating LLM services in air-gapped networks: offline container, PyPI and Hugging Face mirroring, safetensors and SBOM verification, GPU driver bundling and zero-downtime patching. Built for security-focused platform teams.

12 hours

Live Course

5 modules