Credentials

06 ML & AI Certifications

Rigorous specializations validating expertise across machine learning, neural architectures, and production AI engineering.

Featured Specializations

Coursera – Stanford University2024

Machine Learning Specialization

Comprehensive program covering supervised learning, unsupervised learning, and best practices in machine learning.

PythonTensorFlowScikit-learnNeural NetworksDeep Learning
Click to view credential details→
DataCamp2024

AI Engineer for Data Scientists Associate

Comprehensive certification covering AI engineering fundamentals, machine learning deployment, MLOps practices, and building production-ready AI systems.

MLOpsModel DeploymentAI EngineeringTensorFlowscikit-learnModel MonitoringProduction AI
Click to view credential details→

Core Learning & Foundations

Coursera – DeepLearning.AI

2024

Advanced Learning Algorithms

Advanced concepts in machine learning including neural networks, decision trees, and ensemble methods.

Neural NetworksDecision TreesRandom ForestXGBoost
View Details →

Coursera – Stanford University

2024

Supervised Machine Learning

Foundations of supervised learning including regression, classification, and regularization techniques.

Linear RegressionLogistic RegressionRegularizationClassification
View Details →

Coursera

2023

Machine Learning Foundations

Introduction to machine learning concepts, algorithms, and practical applications.

PythonData AnalysisStatistical LearningModel Evaluation
View Details →

DataCamp

2024

Data Science Associate

Professional certification validating expertise in data manipulation, exploratory analysis, statistical experimentation, and model development using Python and SQL.

PythonSQLData ManipulationStatistical Analysis
View Details →