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.

DeepLearning.AI
Kompetenzen, die Sie erwerben: Deep Learning, Artificial Neural Networks, Model Training, Artificial Intelligence, Computer Vision, Machine Learning Methods, Applied Machine Learning, Network Architecture
★ 4.3 (11) · Mittel · Kurs · 1–4 Wochen

Board Infinity
Kompetenzen, die Sie erwerben: AWS SageMaker, Serverless Computing, Google Cloud Platform, Cloud Deployment, Model Deployment, AI Integrations, Cloud Platforms, Cloud Computing, Amazon Web Services, Microsoft Azure, Public Cloud, MLOps (Machine Learning Operations), Applied Machine Learning, Enterprise Architecture, Data Pipelines, Amazon S3, Scalability
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: USB, Electronic Hardware, Hardware Design, Electronics, Electrical Systems, Electronic Systems, Electronics Engineering, Electrical Power, Electronic Components, Computer-Aided Design, Schematic Diagrams, Drafting and Engineering Design, Design, Design Specifications, Design Strategies, Verification And Validation, Data Import/Export
★ 4.3 (8) · Mittel · Kurs · 1–4 Wochen

Board Infinity
Kompetenzen, die Sie erwerben: AI Security, AI Orchestration, MLOps (Machine Learning Operations), Model Deployment, Vulnerability Assessments, AI Workflows, Governance Risk Management and Compliance, Retrieval-Augmented Generation, Responsible AI, Compliance Auditing, LLM Application, Personally Identifiable Information, Regulatory Compliance, Regulatory Requirements, Application Deployment, Model Training, Cloud Deployment, Solution Architecture, Generative AI, Artificial Intelligence
★ 2.6 (11) · Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Derivatives, Futures Exchange, Financial Trading, Financial Market, Risk Modeling, Market Analysis, Risk Management, Financial Systems, Securities Trading, Capital Markets, Market Dynamics, Portfolio Risk, Risk Analysis, Risk Control, Technical Analysis, Risk Mitigation, International Finance, Market Trend, Investments, Finance
★ 5 (11) · Anfänger · Spezialisierung · 3–6 Monate

Shanghai Jiao Tong University
Kompetenzen, die Sie erwerben: Sprachkompetenz, Vokabeln, Kultur, Sprachen lernen
★ 4.6 (24) · Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Tensorflow, Model Deployment, Keras (Neural Network Library), Data Pipelines, Google Cloud Platform, Model Training, Model Optimization, Cloud Deployment, Deep Learning, Data Preprocessing, Applied Machine Learning, Scalability, Artificial Neural Networks, Data Transformation
Mittel · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Datenumwandlung, Software zur Datenanalyse, Software zur Datenvisualisierung, Datenverarbeitung, Daten importieren/exportieren, Datenanalyse, Statistische Visualisierung, Datenmanipulation, Statistische Analyse, Deskriptive Statistik, SPSS, SPSS (Software), Statistische Software, Datenwrangling, Statistische Methoden
★ 4.6 (18) · Anfänger · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: Financial Modeling, Variance Analysis, Key Performance Indicators (KPIs), Bookkeeping, Financial Forecasting, Revenue Forecasting, Budget Management, Financial Statement Analysis, Business Reporting, Performance Reporting, Financial Auditing, Capital Budgeting, Financial Controls, Financial Reporting, Operating Budget, Financial Analysis, Report Writing, Process Improvement, Banking Services, Financial Data
★ 4.2 (6) · Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Kubernetes, Containerization, Cloud-Native Computing, Infrastructure Security, Role-Based Access Control (RBAC), Security Controls, Linux Administration, Data Maintenance, Data Storage Technologies, Systems Architecture, Command-Line Interface, Authorization (Computing), System Configuration, Authentications
★ 4.5 (11) · Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Retrieval-Augmented Generation, Model Deployment, LLM Application, LangChain, Large Language Modeling, Microservices, Test Driven Development (TDD), Software Architecture, Scalability, MLOps (Machine Learning Operations), Cloud Deployment, Cloud Computing Architecture, API Design, Site Reliability Engineering, Kubernetes, Prompt Engineering, Containerization, Infrastructure as Code (IaC), Python Programming, Performance Analysis
Mittel · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Explorative Datenanalyse, Datenumwandlung, Vorverarbeitung von Daten, Datenwissenschaft, Technische Merkmale, Datenanalyse, Statistische Analyse, Bewertung des Modells, Prädiktive Modellierung, Vorhersage, Python-Programmierung, Zeitreihenanalyse und Vorhersage, Regressionsanalyse
★ 4.5 (43) · Mittel · Kurs · 1–4 Wochen