AI & Technology Course Catalog

Deep Learning & Natural Language Processing Deep Learning for Defect and Fault Detection RuneLab Academy · 18 hours

Deep defect and fault detection across inspection images, acoustic/vibration signals and system logs using PatchCore/PaDiM, Anomalib, YOLO/segmentation, 1D-CNNs/autoencoders and normal-only training.

18 hours

Live Course

5 modules

Deep Learning & Natural Language Processing Deep Learning for Time Series Forecasting RuneLab Academy · 18 hours

Multivariate, long-horizon and probabilistic time-series forecasting with N-BEATS, N-HiTS, Temporal Fusion Transformer (TFT), PatchTST, DeepAR and TCN using NeuralForecast and PyTorch Forecasting.

18 hours

Live Course

5 modules

Deep Learning & Natural Language Processing Deep Learning for Recommendation Systems RuneLab Academy · 18 hours

Large-scale deep recommendation architectures: Two-Tower retrieval with ANN (FAISS/Qdrant), sequential session recommenders (SASRec/BERT4Rec), DeepFM/DCN-v2/DLRM ranking and multi-task MMoE learning.

18 hours

Live Course

5 modules

Deep Learning & Natural Language Processing Natural Language Processing (NLP) Fundamentals RuneLab Academy · 12 hours

Text preprocessing, Turkish morphology, regex, tokenisation, TF-IDF, word/sentence embeddings and building first text classification, NER and sentiment pipelines with spaCy, scikit-learn and Hugging Face.

12 hours

Live Course

5 modules

Deep Learning & Natural Language Processing Advanced Natural Language Processing (NLP) RuneLab Academy · 12 hours

Advanced NLP under scarce labels: domain-adaptive pretraining (MLM), DeBERTa/RoBERTa fine-tuning, LoRA/PEFT, few-shot learning with SetFit, weak supervision and label cleaning (Cleanlab), long documents and cross-lingual transfer.

12 hours

Live Course

5 modules

Deep Learning & Natural Language Processing Deep Learning for Natural Language Processing RuneLab Academy · 18 hours

End-to-end neural NLP covering subword tokenisation, BiLSTM-CRF and Transformer (BERT, DeBERTa, T5) architectures, with hands-on sequence tagging, seq2seq summarisation and question answering in PyTorch and Hugging Face.

18 hours

Live Course

5 modules

Deep Learning & Natural Language Processing Production NLP Engineering RuneLab Academy · 18 hours

Running NLP models in production at low latency and cost: ONNX/Optimum quantisation, Triton/FastAPI serving, dynamic batching, PII redaction (Presidio), behavioural testing (CheckList) and text drift monitoring.

18 hours

Live Course

5 modules

Deep Learning & Natural Language Processing Text Classification and Information Extraction RuneLab Academy · 12 hours

Turning unstructured documents into structured tables and JSON: hierarchical and multi-label classification, GLiNER and Transformer NER, relation and event extraction, layout-aware PDF parsing and schema-validated extraction.

12 hours

Live Course

5 modules

Deep Learning & Natural Language Processing Semantic Search and Neural Information Retrieval RuneLab Academy · 12 hours

Enterprise search beyond keyword matching: Sentence-Transformers (bi-encoders), multilingual embeddings, BM25/SPLADE + dense hybrid retrieval, Reciprocal Rank Fusion, Cross-Encoder reranking, Qdrant/pgvector and NDCG@k evaluation.

12 hours

Live Course

5 modules

Comprehensive Computer Vision training ranging from classical image processing techniques to PyTorch-based CNN, Vision Transformer (ViT), Swin Transformer, and ConvNeXt architectures. Hands-on coverage includes object detection with YOLO and DETR, segmentation with SAM and U-Net, video analysis, 3D vision (NeRF, Gaussian Splatting), Diffusion models, and model deployment with ONNX/TensorRT.

36 hours

Live Course

13 modules

Computer Vision Computer Vision Fundamentals RuneLab Academy · 12 hours

Digital image basics, filtering and feature extraction with OpenCV, the classification/detection/segmentation task types and a first prototype with pretrained models, for technical teams scoping computer vision use cases.

12 hours

Live Course

5 modules

Computer Vision Deep Learning for Computer Vision RuneLab Academy · 18 hours

CNN architectures (ResNet, EfficientNet, ConvNeXt) in PyTorch, transfer learning, data augmentation and training loops, for developers and data scientists who need to train and evaluate image models on company data.

18 hours

Live Course

5 modules

Computer Vision Advanced Computer Vision RuneLab Academy · 12 hours

Self-supervised learning (DINOv2), vision foundation models (SAM 2, Grounding DINO), synthetic data, active learning and large-scale training, for experienced computer vision engineers tackling hard production problems.

12 hours

Live Course

5 modules

Computer Vision Object Detection and Segmentation RuneLab Academy · 12 hours

Object detection and instance segmentation with YOLO, RT-DETR and Mask R-CNN: labelling, training, mAP-based evaluation and tracking integration, for teams building an end-to-end detection/segmentation prototype.

12 hours

Live Course

5 modules

Comprehensive Computer Vision Bootcamp ranging from classical image processing techniques to PyTorch-based CNN, Vision Transformer (ViT), Swin Transformer, and ConvNeXt architectures. Hands-on projects cover object detection with YOLO and DETR, segmentation with SAM and U-Net, video analysis, 3D vision (NeRF, Gaussian Splatting), Diffusion models, and model deployment with ONNX/TensorRT.

120 hours

Live Course

13 modules

Computer Vision Image Segmentation Models RuneLab Academy · 12 hours

Semantic, instance and panoptic segmentation: pixel-level training with U-Net, DeepLabV3+, SegFormer, Mask2Former and SAM 2, Dice/mIoU evaluation and mask-based measurement, for industrial, medical and satellite imagery teams.

12 hours

Live Course

6 modules

Computer Vision Vision Transformers (ViT) in Practice RuneLab Academy · 12 hours

ViT, DeiT, Swin and DINOv2 architectures: patch embedding, self-attention, comparison with CNNs and fine-tuning with Hugging Face, for engineers selecting and adapting transformer-based models for vision tasks.

12 hours

Live Course

5 modules

Computer Vision Document AI and OCR Systems RuneLab Academy · 12 hours

Document preprocessing, text recognition, layout analysis and table/form extraction with PaddleOCR, Surya, LayoutLMv3 and Donut, for technical teams turning invoices, contracts and operational documents into structured data.

12 hours

Live Course

5 modules

Computer Vision Video Analytics and Multi-Camera Tracking RuneLab Academy · 12 hours

RTSP video streams, GStreamer/FFmpeg, real-time detection, multi-object tracking with ByteTrack/BoT-SORT, speed/crowd analytics and NVIDIA DeepStream, for teams extracting live operational insights from camera networks.

12 hours

Live Course

5 modules

Computer Vision Human Action Recognition and Spatio-Temporal Models RuneLab Academy · 12 hours

Human action, ergonomics and anomaly detection with 3D CNNs (SlowFast, X3D), VideoMAE/TimeSformer and skeleton-based models (MMPose, ST-GCN), for teams building workplace safety, assembly-line and behaviour analysis systems.

12 hours

Live Course

5 modules

Computer Vision Multimodal Learning and Vision-Language Models (VLMs) RuneLab Academy · 12 hours

Shared embedding spaces with CLIP/SigLIP, Qwen2.5-VL, LLaVA and InternVL architectures, visual QA, multimodal RAG and QLoRA fine-tuning, for engineers building systems that reason across images and text.

12 hours

Live Course

5 modules

Computer Vision Automated Visual Inspection and Quality Control Systems RuneLab Academy · 12 hours

Surface defect detection on production lines, unsupervised anomaly detection with anomalib (PatchCore, PaDiM, EfficientAd), industrial camera/lighting design and PLC integration, for quality and manufacturing engineering teams.

12 hours

Live Course

5 modules

Computer Vision Computer Vision for Hospitals: Clinical Operations and Patient Safety RuneLab Academy · 12 hours

Inpatient fall prevention, ICU monitoring, hand-hygiene and PPE compliance, operating-room instrument counting and privacy-preserving edge anonymisation, for hospital digital transformation and healthtech teams.

12 hours

Live Course

5 modules

Computer Vision Medical Image Analysis and Computer Vision in Healthcare RuneLab Academy · 12 hours

DICOM/NIfTI processing, 2D/3D lesion and organ segmentation on CT/MRI/X-ray with MONAI and nnU-Net, whole-slide pathology (WSI) analysis and clinical validation, for medical imaging and biomedical AI teams.

12 hours

Live Course

5 modules