Maschinelles Lernen Kurse

Kompetenzen, die Sie erwerben: Test Script Development, Performance Testing, Performance Stress Testing, Test Tools, Verification And Validation, Software Testing, Test Data, Data Validation, Scripting, Application Performance Management, Scenario Testing, Proxy Servers, Distributed Computing, Software Installation, System Monitoring

Kompetenzen, die Sie erwerben: Game Design, Android Development, Unity Engine, Video Game Development, Mobile Development, User Interface (UI) Design, User Interface (UI), UI Components, Debugging, C# (Programming Language), Development Testing, Scripting, Android (Operating System), Development Environment, Animations, Programming Principles, Event-Driven Programming, Software Installation

Kompetenzen, die Sie erwerben: Vulnerability Management, Penetration Testing, Vulnerability Scanning, Vulnerability Assessments, Intrusion Detection and Prevention, Security Testing, Network Security, Threat Management, Cyber Security Assessment, System Testing, Security Strategy, Firewall, Cybersecurity, Cloud Security, Exploitation techniques, Microsoft Azure, Virtual Private Networks (VPN), Command-Line Interface

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

Kompetenzen, die Sie erwerben: Fehlersuche, Agentische Systeme, Modellierung großer Sprachen, KI-Orchestrierung, Prompt-Muster, Qualitätssicherung, Generative AI-Agenten, Agentische Arbeitsabläufe, Verifizierung und Validierung, Künstliche Intelligenz und maschinelles Lernen (AI/ML), Schnelles Engineering, AI-Arbeitsabläufe, LLM-Bewerbung, Werkzeuganrufe

Kompetenzen, die Sie erwerben: JUnit, Unit Testing, IntelliJ IDEA, Apache Maven, Software Testing, Test Case, Java Programming, Integrated Development Environments, Test Automation, Java, Build Tools, Software Architecture

Kompetenzen, die Sie erwerben: 3D Modeling, 3D Assets, Visualization (Computer Graphics), Computer Graphics, Graphical Tools, Design Software, Computer Graphic Techniques, Graphics Software, Geometry, Digital Design, Design, digital literacy, Detail Oriented, Creative Thinking

Kompetenzen, die Sie erwerben: Object Oriented Programming (OOP), C++ (Programming Language), C and C++, Data Presentation, Scientific Visualization, Application Development, Object Oriented Design, Data Visualization Software, Statistical Visualization, Plot (Graphics), Application Design, Visualization (Computer Graphics), Programming Principles, Data Visualization, Graphical Tools, Computational Thinking, Computer Graphic Techniques, Program Development, Graphic and Visual Design, Software Visualization

Kompetenzen, die Sie erwerben: Azure DevOps, Kontinuierliche Integration, Modell-Einsatz, Modell Ausbildung, Git (Versionskontrollsystem), MLOps (Operationen für maschinelles Lernen), Generative KI, Daten-Ethik, Azure DevOps-Pipelines, Bewertung des Modells, Kontinuierliche Überwachung, Verantwortungsvolle AI, Versionskontrolle, CI/CD, AI-Arbeitsabläufe, Microsoft Azure

Kompetenzen, die Sie erwerben: Human Machine Interfaces, Network Protocols, Communication Systems, System Configuration, Remote Access Systems, Automation, Web Servers, Scripting, System Monitoring, Systems Integration, Authorization (Computing), Algorithms, Data Structures

Kompetenzen, die Sie erwerben: Amazon S3, Amazon Web Services, SQL, Extract, Transform, Load, Data Quality, Cloud Engineering, Data Pipelines, Version Control, Data Modeling, Data Storage, Cloud Storage, Git (Version Control System), Data Management, Query Languages, Data Storage Technologies, Data Processing, Cloud Security, AWS Identity and Access Management (IAM), Data Security, Big Data

Kompetenzen, die Sie erwerben: Daten in Echtzeit, Modellierung großer Sprachen, Modell Ausbildung, Skalierbarkeit, Generative KI, Autokodierer, Bewertung des Modells, Generative adversarische Netze (GANs), Generative Modellarchitekturen, Abruf-erweiterte Erzeugung, Verantwortungsvolle AI