ML-Kurse können Ihnen helfen zu lernen, wie Modelle entwickelt, trainiert und bewertet werden. Sie können Fähigkeiten in Algorithmen, Datenaufbereitung, Modelloptimierung und Analyse aufbauen. Viele Kurse stellen Python-Bibliotheken, Tools und Beispielprojekte vor.

Kompetenzen, die Sie erwerben: Microservices, Scalability, Software Architecture, CI/CD, Continuous Deployment, API Gateway, Containerization, Serverless Computing, Application Design, Continuous Integration, Docker (Software), Software Design Patterns, Systems Architecture, Systems Design, Kubernetes, Service Oriented Architecture, Event-Driven Programming, Transaction Processing, Data Management, Distributed Computing
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Time Series Analysis and Forecasting, Financial Forecasting, Statistical Analysis, Machine Learning, Trend Analysis, Financial Data, Financial Modeling, Jupyter, Predictive Modeling, Regression Analysis, Finance, GitHub, Statistical Modeling
Mittel · Kurs · 1–3 Monate

Johns Hopkins University
Kompetenzen, die Sie erwerben: Network Analysis, Statistical Modeling, Bayesian Network, R (Software), R Programming, Social Network Analysis, Simulations, Graph Theory, Statistical Analysis, Probability & Statistics, Markov Model, Probability Distribution, Data Visualization, Machine Learning, Statistical Hypothesis Testing
Mittel · Kurs · 1–4 Wochen

Duke University
Kompetenzen, die Sie erwerben: Microsoft Azure, Large Language Modeling, OpenAI, Application Deployment, Prompt Engineering, Application Development, Application Programming Interface (API), GitHub, Automation, Scalability
Mittel · Kurs · 1–4 Wochen

Starweaver
Kompetenzen, die Sie erwerben: Prompt Engineering, Generative AI Agents, Prompt Patterns, Generative AI, Agentic systems, AI Personalization, Kubernetes, Enterprise Application Management, ChatGPT, Containerization, Docker (Software), OpenAI, LangChain, Cloud Infrastructure, Scalability, System Monitoring, Artificial Intelligence and Machine Learning (AI/ML), MLOps (Machine Learning Operations), Python Programming, Engineering
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Microsoft Azure, Network Architecture, Network Performance Management, Network Monitoring, Performance Tuning, System Monitoring, Virtual Machines, Virtual Private Networks (VPN), Virtual Environment, Infrastructure as Code (IaC), System Configuration, Windows PowerShell, Automation, Command-Line Interface
Mittel · Kurs · 1–4 Wochen

L&T EduTech
Kompetenzen, die Sie erwerben: Construction, Construction Inspection, Construction Management, Equipment Design, Construction Engineering, Construction Estimating, Maintenance, Repair, and Facility Services, Product Lifecycle Management, Cost Estimation, Architecture and Construction, Building Codes, Engineering Practices, Commercial Construction, Machine Controls, Plant Operations and Management, Structural Engineering, Environmental Engineering, Facility Management and Maintenance, Automation Engineering, Civil Engineering
Fortgeschritten · Spezialisierung · 3–6 Monate
Kompetenzen, die Sie erwerben: Process Improvement, Continuous Improvement Process, Risk Management, Health Care Procedure and Regulation, Project Management Software, Workflow Management, Project Management, Collaborative Software, Collaboration, Team Oriented, Regulatory Affairs, Health Technology, Healthcare Industry Knowledge, Compliance Management, Key Performance Indicators (KPIs)
Mittel · Kurs · 1–4 Wochen

Microsoft
Kompetenzen, die Sie erwerben: Rmarkdown, Version Control, Web Scraping, Regression Analysis, Knitr, Exploratory Data Analysis, Statistical Analysis, Data Manipulation, Dimensionality Reduction, Ggplot2, Geospatial Information and Technology, Time Series Analysis and Forecasting, Plotly, Microsoft Azure, Data Cleansing, Data Visualization, Data Wrangling, Software Documentation, R Programming, Microsoft Copilot
Anfänger · Berufsbezogenes Zertifikat · 3–6 Monate

Kompetenzen, die Sie erwerben: Power BI, Data Analysis Expressions (DAX), Data Pipelines, Data Transformation, Data Analysis, Microsoft Azure, Analytics, Data Warehousing, Data Integration, Data Cleansing, Data Modeling, Dashboard, Data Governance, SQL
Anfänger · Kurs · 1–3 Monate
University of Michigan
Kompetenzen, die Sie erwerben: Data Structures, Data Processing, Data Manipulation, Python Programming, File Management, Development Environment, Software Installation
Gemischt · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: No-Code Development, Business Transformation, Digital Transformation, AI Product Strategy, Change Management, Business Solutions, Business Process Automation, Business Process, Business Analysis, Business Communication, Data-Driven Decision-Making, Technical Communication, Stakeholder Engagement
Anfänger · Kurs · 1–4 Wochen