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.

L&T EduTech
Kompetenzen, die Sie erwerben: Structural Engineering, Structural Analysis, Engineering Analysis, Civil Engineering, Construction, Construction Engineering, Finite Element Methods, Engineering Calculations, Simulation and Simulation Software, Design Specifications, Analytical Testing
★ 4.8 (9) · Fortgeschritten · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: NumPy, Plot (Graphics), Pandas (Python Package), Scientific Visualization, Data Manipulation, Scatter Plots, Machine Learning Methods, Applied Machine Learning, Machine Learning, Data Science, Machine Learning Algorithms, Data Analysis Software, Statistical Methods, Histogram, Data Processing, Numerical Analysis, Data Import/Export, Probability Distribution, Linear Algebra, Classification Algorithms
★ 4.1 (11) · Anfänger · Kurs · 1–3 Monate

Cisco Learning and Certifications
Kompetenzen, die Sie erwerben: Virtual Networking, Network Troubleshooting, Data Centers, Software-Defined Data Center (SDDC), vSphere Networking and Storage, Network Switches, Cloud Services, iSCSI Configuration, Virtualization, Cloud Computing, Network Architecture, Virtual Machines, Computer Networking, OSI Models, Computing Platforms, TCP/IP, Network Protocols, Server Administration, Networking Hardware, Microsoft Windows
Anfänger · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Financial Statement Analysis, Financial Statements, Financial Accounting, Financial Analysis, Balance Sheet, Financial Reporting, Financial Modeling, Income Statement, Bank Regulations, Business Valuation, Financial Forecasting, Forecasting, Financial Regulation, Cash Flows, Regulatory Compliance, Banking, Financial Regulations, Cash Flow Forecasting, Ethical Standards And Conduct
★ 5 (26) · Gemischt · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Fraud detection, Marketing Analytics, Data-Driven Marketing, Predictive Modeling, People Analytics, Customer Analysis, Feature Engineering, Marketing Effectiveness, Exploratory Data Analysis, Anomaly Detection, Customer Retention, Advanced Analytics, Marketing Strategies, Job Analysis, Predictive Analytics, Analytics, R Programming, Credit Risk, R (Software), Applied Machine Learning
★ 4.6 (16) · Anfänger · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Generative KI, Schnelles Engineering, Python-Programmierung, Cloud-API, Modellierung großer Sprachen, Verarbeitung natürlicher Sprache, Text Mining, Anwendungsprogrammierschnittstelle (API), Klassifizierungsalgorithmen, Jupyter, LLM-Bewerbung, Google Cloud-Plattform
★ 4.1 (7) · Mittel · angeleitetes Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: Hardware Design, Electronics Engineering, Engineering Design Process, Electronic Hardware, Electronics, Design, Computer-Aided Design, Functional Design, Verification And Validation, Simulation and Simulation Software, Design Software, Open Source Technology
★ 4.2 (9) · Anfänger · Kurs · 1–4 Wochen

Whizlabs
Kompetenzen, die Sie erwerben: Data Governance, Extract, Transform, Load, Data Access, Metadata Management, Role-Based Access Control (RBAC), Data Cleansing, Databricks, Data Management, Data Pipelines, Data Lakes, Amazon Web Services, Amazon Redshift, Data Security, Data Warehousing, Data Quality, Data Capture, Fraud detection
★ 3.5 (12) · Mittel · Kurs · 1–4 Wochen

Universidad Nacional Autónoma de México
Kompetenzen, die Sie erwerben: Program Development, Artificial Intelligence, Software Development, Applied Machine Learning, AI literacy, General Science and Research, Technical Writing
★ 4.8 (8) · Mittel · Kurs · 1–4 Wochen

LearnQuest
Kompetenzen, die Sie erwerben: Predictive Modeling, Model Training, Predictive Analytics, Machine Learning Algorithms, Machine Learning, Algorithms, Machine Learning Methods, Responsible AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Machine Learning, Model Evaluation, AI literacy, Model Optimization, Ethical Standards And Conduct
★ 4.3 (14) · Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Auszug, Datenbank-Design, Datenumwandlung, Laden Sie, Datenanalyse, Datenmarkt, Datenverwaltung, Qualität der Daten, Data Warehousing, Analytik, Validierung von Daten, Datenmodellierung, SQL, Transformieren, Daten-Pipelines, Stern-Schema
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: AWS Identity and Access Management (IAM), Amazon CloudWatch, AWS SageMaker, Amazon DynamoDB, Amazon Web Services, Amazon Redshift, Serverless Computing, Identity and Access Management, Amazon S3, AWS CloudFormation, Cloud Management, AWS Kinesis, Infrastructure as Code (IaC), Virtual Networking, Cloud Security, Network Security, Threat Detection, Network Architecture, Kubernetes, Containerization
★ 4.2 (6) · Fortgeschritten · Spezialisierung · 3–6 Monate