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Erkunden Sie den Prompt Engineering-Kurskatalog
Status: NeuStatus: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Prompt Engineering, LLM Application, Large Language Modeling, OpenAI, Responsible AI, AI Personalization, Cost Management, Artificial Intelligence, Case Studies
Status: NeuStatus: Kostenloser TestzeitraumCoursera
Kompetenzen, die Sie erwerben: Network Architecture
Status: NeuStatus: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: LangChain, Prompt Engineering, LLM Application, LangGraph, Generative AI Agents, Agentic systems, Large Language Modeling, OpenAI, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Development Environment, Artificial Intelligence, AI Personalization, Responsible AI, Tool Calling, Text Mining, Query Languages, User Interface (UI), Application Development, Natural Language Processing
Status: NeuStatus: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Data Processing
Northeastern University
Kompetenzen, die Sie erwerben:
University of Colorado Boulder
Kompetenzen, die Sie erwerben: Object Oriented Design, User Story, Real-Time Operating Systems, SQL, Model Based Systems Engineering, Field-Programmable Gate Array (FPGA), New Product Development, Sustainable Business, Delegation Skills, Unsupervised Learning, Sampling (Statistics), Supplier Management, Failure Analysis, Accountability, Data Ethics, Data Mining, Sustainability Reporting, Statistical Modeling, Goal Setting, Proposal Writing
Status: NeuStatus: VorschauNortheastern University
Kompetenzen, die Sie erwerben: Probability & Statistics, Probability Distribution, Probability, Statistical Modeling, Exploratory Data Analysis, Statistical Analysis, Bayesian Statistics, Descriptive Statistics, Data Analysis, Statistical Visualization, Correlation Analysis, Reliability
Status: NeuStatus: VorschauNortheastern University
Kompetenzen, die Sie erwerben: Statistical Hypothesis Testing, Statistical Inference, Sampling (Statistics), Statistical Reporting, Statistical Methods, Probability & Statistics, Statistical Analysis, Experimentation, Data Analysis, Data Presentation, Estimation
Status: NeuStatus: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Prompt Engineering, Large Language Modeling, Natural Language Processing, Generative Model Architectures, Text Mining, Semantic Web
Status: Kostenloser TestzeitraumRice University
Kompetenzen, die Sie erwerben: Datenverarbeitung, Skripting, Datenmanipulation, Daten importieren/exportieren, Entwicklungsumgebung, Programm-Entwicklung, Plot (Grafiken), Paket- und Software-Management, Grundsätze der Programmierung, Computer Programmierung, Daten bereinigen, Dateiverwaltung, Datenvisualisierung, Python-Programmierung, Datenanalyse, Daten-Integration, Datenspeicherung, Datenstrukturen, Software-Installation, Datenvisualisierungssoftware
Status: VorschauUniversidad Nacional Autónoma de México
Kompetenzen, die Sie erwerben: Construction, Architecture and Construction, Plumbing, Construction Engineering, Building Design, Civil Engineering, Land Development, Materials science
Status: Kostenloser TestzeitraumKompetenzen, die Sie erwerben: Application Deployment, Cloud Infrastructure, CI/CD, Cloud Security, Service Level Agreement, Microservices, Service Level, Google Cloud Platform, Network Architecture, API Design, Site Reliability Engineering, Cloud Computing Architecture, Kubernetes, Restful API, Cloud Storage, Cloud Computing, Key Performance Indicators (KPIs), DevOps, System Design and Implementation, Disaster Recovery
Zusammenfassend finden Sie hier 10 unsere beliebtesten prompt engineering Kurse
- Quick Start Guide to Large Language Models (LLMs): Unit 2: Pearson
- Deep Learning with PyTorch: Coursera
- Langchain and Langgraph: Packt
- Advanced Machine Learning Techniques: Coursera
- Master of Science in Engineering Management: Northeastern University
- Master of Science in Electrical and Computer Engineering: University of Colorado Boulder
- Engineering Probability and Statistics Part 1: Northeastern University
- Engineering Probability and Statistics Part 2: Northeastern University
- Introduction to Transformer Models for NLP: Unit 2: Pearson
- Einführung in die Skripterstellung in Python: Rice University
