Download the certification brochure (Spanish): Click here

Exam Details

• Exam Name: Machine Learning Certified Expert (MLCE)
• Exam Format: Multiple choice, online with remote supervision (proctoring)
• Exam Delivery: Safe Exam Browser
• Number of Questions: 50 questions: 70% scenarios / 30% conceptual
• Exam Duration: 100 minutes
• Passing Score: 70% (35 out of 50 correct answers)
• Available Languages: Spanish / English
• Attempts: Maximum 2 attempts (minimum 15 days between attempts)
• Validity: 3 years · 15 CPD credits per year

Main Subjects

• ML and data science fundamentals (15%): Classification, regression, clustering and anomalies; Bias-variance and overfitting; NumPy, Pandas and scikit-learn.
• Data preparation and transformation (15%): Imputation and outliers; Encoding and scaling; SMOTE and undersampling; Time series and text.
• Supervised and unsupervised models (25%): XGBoost, LightGBM and CatBoost; k-means and DBSCAN; Isolation forest; Hyperparameter tuning.
• Advanced models, deep learning and generative AI (20%): CNN, RNN and Transformers; Transfer learning and fine-tuning; LLMs and RAG; Quantization and ONNX.
• MLOps, deployment and AI ethics (25%): MLflow, W&B and DVC; Docker, Kubernetes and inference APIs; Data drift and retraining; SHAP, LIME and regulation.

Who is this certification for?

• Senior data scientists: Who want to validate comprehensive ML mastery.
• ML engineers and data engineers: Who master modeling and MLOps.
• AI and deep learning professionals: Who take advanced models into production.

Prerequisites

Mandatory: Machine Learning Certified Associate (MLCA) and Machine Learning Certified Professional (MLCP). MLCE is the highest level of the CertJoin Machine Learning path.