Machine Learner Certification™ — MLC Program

Abstract

Las empresas que no entiendan esto, ya fueron

En 1943, McCulloch y Pitts publicaron el primer modelo de neurona artificial. 80 años después, McKinsey estima que la IA generativa agregará entre $2.6 y $4.4 trillones anuales a la economía global. Goldman Sachs proyecta 300 millones de empleos transformados.

JPMorgan tiene 2,000+ ingenieros ML. La FDA ha aprobado 900+ dispositivos con IA. El crédito se origina con scoring ML. Los contratos se revisan con NLP. Los portafolios se optimizan con reinforcement learning.

La MLC™ no es un curso. No es un diplomado. Es la transformación completa de un profesional — de consumidor pasivo de tecnología a constructor activo de soluciones de ML/AI. De regresión lineal a Quantum Computing.

Veo empresas muertas… que caminan como si estuvieran vivas, que hablan como si tuvieran futuro, pero ya fueron. Las organizaciones que no implementen ML/AI en sus operaciones quedarán obsoletas en 3–5 años.

— Machine Learner Certification™ Manifesto

$4.4T

Impacto anual AI

McKinsey

300M

Empleos transformados

Goldman Sachs

2,000+

Ingenieros ML

Solo JPMorgan

900+

Dispositivos FDA AI

Aprobados

Programa completo

20 módulos · 25 capstones

Nivel 1 · Learn

Foundations — 140h

Mathematical Foundations for ML

10 semanas · Álgebra lineal, Cálculo, Probabilidad, Optimización, Teoría de Información

Temario

Álgebra lineal: vectores, matrices, eigenvalores, SVD, PCA
Cálculo multivariable: gradientes, Jacobianos, Hessianos, backpropagation
Probabilidad: distribuciones, Bayes, MLE, MAP, bootstrap
Optimización: Gradient Descent (batch/SGD/mini-batch), Adam, convexidad, KKT
Teoría de información: entropía de Shannon, KL-Divergence, cross-entropy

Capstone 1

50 problemas aplicados a ML + 10 derivaciones manuales de gradientes para redes neuronales.

Python for Data Science & Engineering

8 semanas · OOP, NumPy, Pandas, SQL, Git, Plotly

Temario

Python Core: OOP avanzado, decoradores, generators, type hints, pydantic
NumPy & Pandas: vectorización, window functions, memory optimization
Visualización: Matplotlib, Seaborn, Plotly dashboards interactivos
SQL, Git/GitHub, testing con pytest, CI/CD, cookiecutter data science

Capstone 2

Pipeline end-to-end: Yahoo Finance + FRED API → limpieza → SQLite → dashboard interactivo Plotly con tests unitarios.

Supervised Machine Learning

10 semanas · Regresión, Clasificación, Ensembles, XGBoost, Feature Engineering

Temario

Regresión: Linear, Ridge, Lasso, Elastic Net from scratch + scikit-learn
Clasificación: Logistic, SVM, Decision Trees, Random Forest, XGBoost/LightGBM
Ensembles: bagging vs boosting, stacking, Bayesian Optimization con Optuna
Model Evaluation: K-Fold, AUC-ROC, F1, bias-variance, calibration
Feature Engineering: selection, SMOTE/ADASYN, pipelines end-to-end

Capstone 3

Credit scoring completo con Lending Club: 5+ algoritmos, Optuna tuning, reporte con Gini/KS/PSI. Presentable ante regulador.

Unsupervised ML & Anomaly Detection

8 semanas · Clustering, PCA, t-SNE, UMAP, Isolation Forest, LDA

Temario

Clustering: K-Means, DBSCAN, Hierarchical, GMM
Dimensionalidad: PCA, t-SNE, UMAP, autoencoders
Anomalías: Isolation Forest, One-Class SVM, LOF, autoencoders
Association Rules: Apriori, FP-Growth; Topic Modeling: LDA, NMF

Capstone 4

Segmentación bancaria (3+ técnicas) + detección de transacciones anómalas (Isolation Forest + Autoencoder). Presentar al CRO.

Nivel 2 · Apply

Applied ML — 160h

Deep Learning: Neural Networks, CNNs & RNNs

9 semanas · PyTorch, backpropagation, ResNet, LSTM, GRU

Temario

Neural Networks from scratch: backpropagation, activaciones, weight initialization
PyTorch deep dive: tensors, autograd, custom layers, training loops
CNNs: LeNet → AlexNet → VGG → ResNet → EfficientNet; transfer learning
RNNs: LSTM, GRU, bidirectional, seq2seq, attention pre-transformer

Capstone 5

Clasificador de documentos financieros (CNN, accuracy >95%) + predictor LSTM vs ARIMA. Ambos con FastAPI.

NLP & Financial Text Analytics

9 semanas · FinBERT, NER, Sentiment, Text Generation

Temario

Foundations: TF-IDF, Word2Vec, GloVe, FastText
FinBERT: sentiment de earnings calls, 10-K parsing, riesgo extraction
NER financiero: empresas, montos, regulaciones; knowledge graphs
Text generation: summarization, reportes automatizados

Capstone 6

Pipeline: scraping → FinBERT sentiment → NER → alertas automáticas. Dashboard Streamlit, 1,000+ noticias.

ML for Derivatives, Risk & Portfolio Optimization

8 semanas · Deep Hedging, VaR con ML, Black-Litterman, TFT

Temario

Options pricing con Neural Networks vs Black-Scholes; deep hedging
VaR/ES con ensemble methods; stress testing con GANs/VAEs
Portfolio: Black-Litterman + ML views, RL para asset allocation, risk parity
Time Series: GARCH+ML, Temporal Fusion Transformers, regime detection

Capstone 7

Risk engine: superficie de vol con NN (error <5%), VaR/ES con 3+ modelos ML, stress testing con GAN.

Algorithmic Trading con ML

8 semanas · Feature engineering, backtesting, meta-labeling, execution

Temario

Features: technical indicators, alternative data, microstructure
Walk-forward validation, purged K-Fold, triple barrier (López de Prado)
Backtesting: Backtrader/Zipline, overfitting detection, deflated Sharpe
Execution: Almgren-Chriss, market making con ML, order flow prediction

Capstone 8

Sistema completo: señales ML → backtesting walk-forward 5 años → Sharpe, Sortino, max drawdown, Calmar.

Banking ML Suite: Credit, AML & Customer Analytics

6 semanas · IFRS 9, scorecards, graph AML, recommender systems

Temario

Credit Risk ML: IFRS 9/CECL con ML, scorecards regulatorios, SR 11-7
AML: network analysis, entity resolution, SAR automation
Customer: churn, CLV, next-best-action, recommender systems

Capstone 9

Suite integrada: scorecard IFRS 9 compliant + sistema AML con graph analytics (50K+ tx) + motor next-best-offer (10K+ clientes).

Nivel 3 · Create

Advanced AI & Creation — 188h

M10

Transformers & LLMs

9 semanas · Self-attention from scratch, GPT, Claude, LLaMA, Mistral, prompt engineering

Temario

Transformer: self-attention from scratch, multi-head, positional encoding (RoPE)
LLMs: BERT, GPT, LLaMA, Mistral, Claude (Constitutional AI)
Prompt engineering: CoT, tree-of-thought, system prompts, few-shot
APIs: OpenAI, Anthropic, function calling, structured outputs, streaming
Evaluación: MMLU, HumanEval, red teaming, hallucination measurement

Capstone 10

LLM-Powered Financial Analyst: analizar 10-Ks, generar resúmenes, RAG Q&A. Precisión factual en 50 preguntas benchmark.

M11

Fine-Tuning LLMs: LoRA, QLoRA, RLHF & DPO

8 semanas · PEFT, data curation, reward modeling, vLLM deployment

Temario

LoRA/QLoRA: 4-bit fine-tuning, prefix tuning, adapter layers
Data prep: curación, quality filtering, synthetic data generation
RLHF: reward modeling, PPO, DPO, Constitutional AI training
Deployment: GPTQ, AWQ, vLLM, TGI, cost optimization, A/B testing

Capstone 11

Fine-tunear LLaMA/Mistral 7B con QLoRA en 10K+ ejemplos financieros. Comparar pre/post en 5 tareas. Deploy con vLLM.

M12

IA Agéntica, RAG Enterprise & MCP

9 semanas · 36h · Vector DBs, LangChain, CrewAI, MCP servers, observability

Temario

RAG: Pinecone/Chroma/Weaviate, chunking, hybrid search, RAGAS eval
RAG Enterprise: multi-modal, parent-child, query routing, access control
Agentes: LangChain/LangGraph, CrewAI, AutoGen, multi-agent orchestration
MCP: building servers from scratch, enterprise integrations, security
Production: LangSmith tracing, guardrails, human-in-the-loop

Capstone 12

Enterprise AI Agent: MCP connections a 3+ sistemas, RAG sobre 500+ docs, 10+ herramientas, razonamiento multi-paso.

M13

Legal & Contract Analytics con AI

7 semanas · NLP legal, due diligence, compliance, litigation prediction

Temario

Legal NER, clause classification, contract parsing, due diligence con RAG
Compliance: regulatory change detection, KYC/AML processing, GDPR
Litigation: case outcome prediction, settlement estimation

Capstone 13

Procesar 100+ contratos: extracción de cláusulas de riesgo, risk score por contrato. Precisión >90%. Presentar al General Counsel.

M14

Investment Banking & M&A con ML

7 semanas · Deal sourcing, valuación, due diligence, ESG scoring, pitch books

Temario

Deal sourcing con ML: targets, company matching, market signals
Valuación: DCF augmented, comps automatizados, precedent transactions
DD: anomaly detection financiero, ESG scoring, red flag (Beneish + ML)
Pitch books con LLMs, graph analytics, competitive landscape automation

Capstone 14

Deal sourcing (20 targets ML-ranked) + valuación automatizada (5 empresas vs analistas) + DD con red flags. Pitch completo.

M15

Audit, Fraud Detection & Forensic Accounting con AI

7 semanas · Benford's Law, continuous auditing, journal entry testing

Temario

Fraud: gradient boosting, Benford's Law, network analysis, real-time scoring
Continuous auditing: full-population testing, risk-based planning con ML
Forensic: Beneish M-Score + ML, digital forensics, whistleblower NLP
Automation: reconciliation, revenue recognition (IFRS 15), lease (IFRS 16)

Capstone 15

100K+ journal entries: 3 técnicas de anomaly detection + Beneish M-Score + ML para manipulación. Accuracy >85%.

Nivel 4 · Profit

Frontier & Quantum — 132h

M16

MLOps & Production Deployment

7 semanas · MLflow, Docker, Kubernetes, AWS/GCP/Azure, SR 11-7, EU AI Act

Temario

Pipelines: MLflow, Kubeflow, Airflow, feature stores (Feast)
Cloud: Docker, Kubernetes, SageMaker, Vertex AI, Azure ML
Monitoring: Evidently AI, A/B testing, shadow deployment, model cards
Regulatory: SR 11-7, CNBV, EU AI Act, FDA AI/ML framework

Capstone 16

Credit scoring end-to-end en cloud: MLflow → FastAPI → Docker → Kubernetes → Evidently → SR 11-7 compliant. Corriendo live.

M17

Multi-Industry ML: Marketing, Retail, Logística, Energía & Physics-Informed

7 semanas · CLV, demand forecasting, PINNs, federated learning

Temario

Marketing: CLV, marketing mix, attribution, dynamic pricing con RL
Retail: recommender systems, demand forecasting (Prophet/TFT/N-BEATS)
Logística: route optimization, predictive maintenance, inventory
Energía: production forecasting, energy trading, carbon footprint
Physics-Informed Neural Networks (PINNs), Neural ODEs, federated learning

Capstone 17

Solución end-to-end para UNA industria elegida. Problema REAL, datos reales, panel de practitioners evalúa.

M18

Reinforcement Learning & Deep RL

5 semanas · MDP, Q-Learning, DQN, PPO, SAC, RL para finanzas

Temario

Foundations: MDP, Bellman, Q-Learning, SARSA, REINFORCE, Actor-Critic
Deep RL: DQN, PPO, SAC, A3C, multi-agent, model-based RL
RL Finanzas: portfolio optimization, optimal execution, market making, dynamic hedging

Capstone 18

Agente RL para portfolio: 10 activos, PPO, walk-forward 3 años, transaction costs reales. Comparar vs benchmarks.

M19

Quantum Computing & Quantum ML

8 semanas · 24h · Qiskit, Grover, Shor, VQE, QAOA, quantum finance

Temario

Foundations: qubits, entrelazamiento, gates cuánticos, Qiskit
Algorithms: Grover, Shor, VQE, QAOA, quantum annealing
Quantum ML: quantum kernels, variational classifiers, quantum GANs
Quantum Finance: option pricing con amplitude estimation, portfolio QAOA, Monte Carlo cuántico

Capstone 19

En Qiskit: option pricing cuántico vs Monte Carlo + portfolio optimization QAOA (8 activos) + credit risk cuántico.

M20

Healthcare, Biomedical & Nanotecnología AI

8 semanas · 32h · Medical imaging, drug discovery, genómica, FDA SaMD

Temario

Medical Imaging: CNNs para radiología, U-Net, CheXNet, AI vs radiólogo
Drug Discovery: GNNs moleculares, diseño de novo, ADMET, virtual screening
Genómica: AlphaFold, CRISPR prediction, farmacogenómica
Nanotecnología: nanomateriales con ML, drug delivery, quantum dots
Clinical AI: wearables, EHR mining, survival analysis, federated learning
Regulación: FDA SaMD, COFEPRIS, EU MDR, HIPAA, bias en AI médica

Capstone 20

Plataforma integral: (1) diagnóstico por imagen accuracy >90% + Grad-CAM, (2) drug discovery pipeline con 1,000+ compuestos, (3) clinical prediction con wearables.

Módulos

620+

Horas

Capstones

12+

Industrias

Machine LearnerCertification™

Ficha del programa

Las empresas que no entiendan esto, ya fueron

Por qué la MLC™ es la mejor del planeta

620+ horas en 20 módulos — escala sin precedentes

12+ industrias en una sola certificación

25 capstones evaluados por practitioners

Stack completo: Regresión → Quantum Computing

IA Agéntica, RAG Enterprise & MCP

Healthcare, Biomedical & Nanotecnología

Legal & Contract Analytics + IB & M&A

Quantum Computing & Quantum ML — 24h con Qiskit

MLOps: de notebook a Kubernetes

4 niveles: Learn → Apply → Create → Profit

4 niveles · 20 módulos · 620+ horas

Foundations

Applied ML

Advanced AI

Frontier & Quantum

20 módulos · 25 capstones

Foundations — 140h

Mathematical Foundations for ML

Temario

Capstone 1

Python for Data Science & Engineering

Temario

Capstone 2

Supervised Machine Learning

Temario

Capstone 3

Unsupervised ML & Anomaly Detection

Temario

Capstone 4

Applied ML — 160h

Deep Learning: Neural Networks, CNNs & RNNs

Temario

Capstone 5

NLP & Financial Text Analytics

Temario

Capstone 6

ML for Derivatives, Risk & Portfolio Optimization

Temario

Capstone 7

Algorithmic Trading con ML

Temario

Capstone 8

Banking ML Suite: Credit, AML & Customer Analytics

Temario

Capstone 9

Advanced AI & Creation — 188h

Transformers & LLMs

Temario

Capstone 10

Fine-Tuning LLMs: LoRA, QLoRA, RLHF & DPO

Temario

Capstone 11

IA Agéntica, RAG Enterprise & MCP

Temario

Capstone 12

Legal & Contract Analytics con AI

Temario

Capstone 13

Investment Banking & M&A con ML

Temario

Capstone 14

Audit, Fraud Detection & Forensic Accounting con AI

Temario

Capstone 15

Frontier & Quantum — 132h

MLOps & Production Deployment

Temario

Capstone 16

Multi-Industry ML: Marketing, Retail, Logística, Energía & Physics-Informed

Temario

Capstone 17

Reinforcement Learning & Deep RL

Temario

Capstone 18

Quantum Computing & Quantum ML

Temario

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