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.

Amazon Web Services
Kompetenzen, die Sie erwerben: Natural Language Processing, Amazon Web Services, Usability, Human Computer Interaction, Human Machine Interfaces, AI Integrations, Security Requirements Analysis, Interaction Design, Service Level
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Continuous Delivery, Continuous Integration, Web Services, Application Programming Interface (API), Test Tools, Software Testing, Service Oriented Architecture, Test Execution Engine
Anfänger · Kurs · 1–4 Wochen

Board Infinity
Kompetenzen, die Sie erwerben: Cascading Style Sheets (CSS), HTML and CSS, Hypertext Markup Language (HTML), Responsive Web Design, Bootstrap (Front-End Framework), Web Design, Web Design and Development, Web Development, Front-End Web Development, UI Components, Application Frameworks, Design Elements And Principles, Typography
Anfänger · Kurs · 1–4 Wochen

Macquarie University
Kompetenzen, die Sie erwerben: Sales Presentations, Value Propositions, Selling Techniques, Entrepreneurship, Sales Strategy, Social Media Marketing, Digital Media Strategy, Sales, Storytelling, Prospecting and Qualification, Social Media Campaigns, Social Media Strategy, Marketing Strategies, Oral Expression, Data-Driven Decision-Making, Customer Insights, New Business Development, Presentations, Customer Analysis, User Research
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Shiny (R Package), FinTech, Wealth Management, Financial Market, Financial Trading, R (Software), Financial Planning, Technical Analysis, Financial Forecasting, Statistical Programming, Financial Management, Securities (Finance), Financial Services, Advanced Analytics, Asset Management, Financial Analysis, Financial Data, Market Trend, Artificial Intelligence, Market Data
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Machine Learning Methods, Machine Learning Algorithms, AI Security, AI literacy, Supervised Learning, Large Language Modeling, Generative AI, Model Training, Reinforcement Learning
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Amazon CloudWatch, Public Cloud, Data Storage Technologies, Virtual Networking, Infrastructure As A Service (IaaS), Computing Platforms, Data Storage, Database Administration, System Monitoring, Network Monitoring, Network Security, Continuous Monitoring
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Model Optimization, Responsible AI, Data Ethics, Model Training, Model Deployment, Technical Design, Prompt Engineering, AI Security, Artificial Intelligence and Machine Learning (AI/ML), Technical Communication, Communication, AI Workflows, MLOps (Machine Learning Operations), LLM Application, Apache Airflow, System Design and Implementation, Python Programming, CI/CD, SQL, AWS CloudFormation
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Cloud Applications, Serverless Computing, Cloud Management, Cloud Development, Cloud Deployment, Cloud Computing, Application Deployment, CI/CD, Continuous Deployment, Google Cloud Platform, Application Development, Python Programming
Anfänger · Projekt · Weniger als 2 Stunden
Coursera
Kompetenzen, die Sie erwerben: Classification And Regression Tree (CART), Decision Tree Learning, Classification Algorithms, Applied Machine Learning, Java Programming, Machine Learning Algorithms, Algorithms, Machine Learning, Data Structures, Analysis, Software Engineering
Fortgeschritten · Kurs · 1–4 Wochen

Coursera
Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Model Deployment, Anomaly Detection, Model Evaluation, Dashboard, CI/CD, Data Visualization, DevOps, Continuous Monitoring, Data-Driven Decision-Making, Performance Analysis, Key Performance Indicators (KPIs), Statistical Analysis, Performance Tuning, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Real Time Data, Automation, Agentic systems, Version Control
Mittel · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: Prompt Engineering, Data-Driven Marketing, Personalized Campaigns, Prompt Engineering Tools, Prompt Patterns, Marketing Automation, Marketing Operations, AI Personalization, Marketing Effectiveness, Content Marketing, Campaign Planning, Social Media Campaigns, Content Performance Analysis, Marketing Strategies, Agentic Workflows, Marketing Analytics, Customer Relationship Management (CRM) Software, Customer Relationship Management, Data-Driven Decision-Making, Driving engagement
Mittel · Kurs · 1–4 Wochen