
Skills you'll gain: MLOps (Machine Learning Operations), Data Preprocessing, AWS SageMaker, Model Evaluation, Model Deployment, Artificial Intelligence and Machine Learning (AI/ML), Amazon Web Services, Model Training, Predictive Modeling, Machine Learning Methods, Applied Machine Learning, Data Processing, Machine Learning, Supervised Learning, Machine Learning Algorithms, Unsupervised Learning, Classification Algorithms
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Model Deployment, Model Training, Model Optimization, Data Preprocessing, MLOps (Machine Learning Operations), Data Cleansing, Microservices, Data Pipelines, Feature Engineering, Data Quality, Containerization, Application Deployment, Service Level, Extract, Transform, Load, Data Transformation, System Monitoring, Machine Learning Methods, Performance Tuning, Machine Learning Algorithms
Intermediate · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Supervised Learning, Applied Machine Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, Model Training, NumPy, Machine Learning Algorithms, Predictive Modeling, Classification Algorithms, Feature Engineering, Artificial Intelligence, Model Evaluation, Data Preprocessing, Python Programming, Logistic Regression, Model Optimization, Regression Analysis, Algorithms
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), Continuous Integration, Artificial Intelligence and Machine Learning (AI/ML), Service Level Agreement, Performance Stress Testing, Performance Measurement, Performance Analysis
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Model Optimization, Generative Model Architectures, Feature Engineering, Model Training, Machine Learning Methods, Microsoft Azure, Applied Machine Learning, Machine Learning, Azure DevOps Pipelines, Data Processing, Large Language Modeling, Cloud Deployment, Machine Learning Software, Data Cleansing, Supervised Learning, Machine Learning Algorithms, AI Workflows
Intermediate · Specialization · 1 - 3 Months

Duke University
Skills you'll gain: Fine-tuning, MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Hugging Face, Containerization, CI/CD, Docker (Software), Microsoft Azure, Continuous Deployment, Cloud Computing, Machine Learning Software, GitHub
Advanced · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Model Training, Continuous Deployment, Model Evaluation, Data Preprocessing, Model Optimization, Machine Learning, Applied Machine Learning, Data Validation, Data Integrity, Data Maintenance, Data Quality, Data Synthesis, Data Collection, System Monitoring, Continuous Monitoring, Unstructured Data
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: MLOps (Machine Learning Operations), AI Workflows, API Design, CI/CD, Software Quality Assurance, Code Review, Software Engineering, Software Versioning
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Exploratory Data Analysis, Data Pipelines, Model Training, Amazon Web Services, Feature Engineering, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Applied Machine Learning, Machine Learning Methods, Serverless Computing, Machine Learning, Python Programming
Advanced · Course · 1 - 3 Months

Duke University
Skills you'll gain: Pandas (Python Package), MLOps (Machine Learning Operations), NumPy, Unit Testing, Model Deployment, Data Manipulation, Test Script Development, Software Testing, Data Import/Export, Applied Machine Learning, Test Automation, Data Wrangling, Python Programming, Code Reusability, Data Processing, Debugging, Data Structures, Machine Learning, Object Oriented Programming (OOP), Scripting
Intermediate · Course · 1 - 3 Months

Skills you'll gain: MLOps (Machine Learning Operations), Containerization, AI Workflows, Model Deployment, Generative AI Agents, LangGraph, Agentic Workflows, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, Devops Tools, BeeAI, Docker (Software), Cloud Deployment, Agentic systems, Google Cloud Platform, Cloud Platforms, Kubernetes, Applied Machine Learning, Scalability
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Model Training, Data Quality, Model Deployment, Data Preprocessing, Application Lifecycle Management, Technical Management, Applied Machine Learning, Project Management, Machine Learning, Data Cleansing, Model Evaluation, Data Pipelines, Technical Design, Software Development Methodologies, Technology Solutions, Systems Design, Data Collection, Data Science
Beginner · Course · 1 - 3 Months