Netzwerk-Kurse können Ihnen helfen zu verstehen, wie Computer miteinander kommunizieren, Daten übertragen und Systeme gesichert werden. Sie können Fähigkeiten in Protokollen, Routing, Architektur und Netzwerkverwaltung aufbauen. Viele Kurse stellen Tools und Beispiele aus IT-Umgebungen vor.
University of Maryland, College Park
Kompetenzen, die Sie erwerben: AI Personalization, AI Enablement, Responsible AI, Personalized Campaigns, Deep Learning, Risk Modeling, Demand Planning, Forecasting, Artificial Intelligence and Machine Learning (AI/ML), Business Leadership, Risk Management, Business Analytics, Customer Demand Planning, Data-Driven Marketing, Machine Learning, Target Market, Artificial Intelligence, Business Risk Management, Supply Chain Planning, Marketing Analytics
Mittel · Kurs · 1–3 Monate

Coursera
Kompetenzen, die Sie erwerben: Model Deployment, Fine-tuning, PyTorch (Machine Learning Library), Model Evaluation, Model Training, Vision Transformer (ViT), Model Optimization, Transfer Learning, MLOps (Machine Learning Operations), Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), Distributed Computing, Performance Tuning, Tensorflow, Deep Learning, Cloud Computing, Data Pipelines
Fortgeschritten · Spezialisierung · 1–3 Monate

Kompetenzen, die Sie erwerben: Network Protocols, Network Performance Management, Network Monitoring, Network Troubleshooting, Threat Detection, Network Analysis, Network Security
★ 4.7 (6) · Mittel · angeleitetes Projekt · Weniger als 2 Stunden

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

IBM
Kompetenzen, die Sie erwerben: Data Storytelling, Data Mining, Data Science, Data-Driven Decision-Making, Big Data, Digital Transformation, Analytics, Storytelling, Regression Analysis, Apache Hadoop, Machine Learning, Deep Learning, Cloud Computing
★ 4.5 (21) · Anfänger · Kurs · 1–4 Wochen

University of California, Davis
Kompetenzen, die Sie erwerben: Digital Transformation, AI Personalization, Blockchain, digital literacy, Data Ethics, Emerging Technologies, FinTech, Artificial Intelligence, Digital Assets, Responsible AI, Artificial Neural Networks, Social Media, Driving engagement, Deep Learning, Simulation and Simulation Software, Persuasive Communication, Intellectual Property, Machine Learning, Algorithms, Decision Making
★ 4.7 (19) · Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Exploit development, Penetration Testing, Exploitation techniques, Scripting, Brute-force attacks, Scripting Languages, Shell Script, Python Programming, Program Development, Network Protocols, Data Persistence, Software Installation
★ 4.8 (13) · Fortgeschritten · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: AWS Identity and Access Management (IAM), Amazon CloudWatch, Threat Detection, Threat Management, Amazon Web Services, Incident Response, Continuous Monitoring, Cloud Security, Identity and Access Management, Amazon Elastic Compute Cloud, Network Security, Incident Management, Event Monitoring
★ 4.7 (15) · Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Tensorflow, Artificial Neural Networks, Deep Learning, Machine Learning Methods, Python Programming
★ 4.7 (7) · Mittel · angeleitetes Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: Virtual Private Networks (VPN), Linux Servers, Ubuntu, Network Troubleshooting, Authentications, Linux Administration, Remote Access Systems, Cryptographic Protocols, Virtual Networking, Encryption, Network Security, Linux, Network Monitoring, Network Performance Management, Linux Commands, Interoperability, Key Management
Mittel · angeleitetes Projekt · Weniger als 2 Stunden
Kompetenzen, die Sie erwerben: Generative AI, Retrieval-Augmented Generation, Large Language Modeling, Responsible AI, Data Ethics, Generative Adversarial Networks (GANs), Generative Model Architectures, LLM Application, Agentic systems, AI Security, Law, Regulation, and Compliance, Agentic Workflows, Discussion Facilitation, Regulatory Requirements, Regulatory Compliance, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, SAS (Software), Analytics, Machine Learning
Anfänger · Spezialisierung · 3–6 Monate

Kompetenzen, die Sie erwerben: MITRE ATT&CK Framework, Threat Modeling, Cyber Threat Intelligence, Penetration Testing, Threat Management, Threat Detection, Cyber Security Assessment, Cybersecurity, Cyber Security Strategy, Cyber Operations, Vulnerability Scanning, Cyber Attacks, Computer Security, Vulnerability Assessments, Security Strategy, Cyber Security Policies, Network Security, Network Analysis, Network Protocols
★ 4.8 (14) · Mittel · Kurs · 1–4 Wochen