Deep-Learning-Kurse können Ihnen helfen zu lernen, wie neuronale Netze aufgebaut, trainiert und bewertet werden. Sie können Fähigkeiten in Modellarchitekturen, Optimierung, Datenaufbereitung und Evaluationsmethoden aufbauen. Viele Kurse stellen Frameworks und Tools vor, die das Experimentieren mit tiefen Modellen unterstützen.

O.P. Jindal Global University
Kompetenzen, die Sie erwerben: Data Mining, Predictive Modeling, Predictive Analytics, Advanced Analytics, Business Analytics, Dimensionality Reduction, Forecasting, Data-Driven Decision-Making, Customer Analysis, Regression Analysis, Demand Planning, Classification Algorithms, Machine Learning Methods, Customer Insights, Logistic Regression, Market Analysis, Unsupervised Learning, Decision Tree Learning, Artificial Neural Networks, Correlation Analysis
Auf einen Abschluss hinarbeiten
Gemischt · Kurs · 3–6 Monate

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Fine-tuning, CI/CD, Hugging Face, Continuous Deployment, Model Evaluation, Applied Machine Learning, Continuous Integration, Model Training, Transfer Learning, MLOps (Machine Learning Operations), Data Preprocessing, Model Deployment, Model Optimization, Data Pipelines, Natural Language Processing
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Amazon Bedrock, Retrieval-Augmented Generation, Responsible AI, Generative Model Architectures, Generative AI, AI Security, Fine-tuning, Amazon Web Services, AI Integrations, Model Optimization, Large Language Modeling, Model Deployment, Risking, Data Ethics, Model Evaluation, Cloud Security, Data Security
Mittel · Kurs · 1–4 Wochen

Google Cloud
Kompetenzen, die Sie erwerben: Model Optimization, Machine Learning Methods, Natural Language Processing, Artificial Neural Networks
Mittel · Kurs · 1–4 Wochen

LearnKartS
Kompetenzen, die Sie erwerben: ChatGPT, Podcasting, AI Product Strategy, Content Creation, Coaching, Web Presence, Course Development, AI Enablement, Ideation, Entrepreneurship, Digital Assets, Artificial Intelligence, WordPress, Marketing Strategies, E-Commerce, Web Development, Digital Transformation, Digital Marketing, Writing, Business Acumen
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: MLOps (Machine Learning Operations), Feature Engineering, Model Evaluation, Model Training, Model Deployment, Model Optimization, Data Preprocessing, Performance Analysis, Machine Learning Methods, Data Pipelines, Analysis, Data Transformation, Technical Writing
Mittel · Kurs · 1–4 Wochen

University of Minnesota
Kompetenzen, die Sie erwerben: Simulations, Operations Research, Simulation and Simulation Software, Sprint Planning, Advanced Analytics, Process Mapping, Process Optimization, Project Scoping, Project Planning, Solution Design, Needs Assessment, Business Analysis, Analytics, Model Optimization, Investment Management, Business Priorities, Goal Setting, Ideation
Anfänger · Kurs · 1–3 Monate

Kompetenzen, die Sie erwerben: Prompt Engineering, Prompt Engineering Tools, API Testing, Test Automation, Test Script Development, Prompt Patterns, Test Tools, Claude Code, Software Testing, Test Case, AI Integrations, Functional Testing, Quality Assurance, GitHub Copilot, Application Programming Interface (API), Restful API, Test Data, Automation, AI Security, Debugging
Mittel · Kurs · 1–3 Monate

Logical Operations
Kompetenzen, die Sie erwerben: R Programming, R (Software), Plot (Graphics), Data Visualization, Statistical Visualization, Statistical Modeling, Data Analysis, Data Science, Statistical Analysis, Data Import/Export, Statistical Machine Learning, Machine Learning Methods, Machine Learning, Decision Tree Learning, Machine Learning Algorithms, Regression Analysis, Data Structures, Computer Programming, Computer Programming Tools, Software Development
Gemischt · Kurs · 1–3 Monate

Special Competitive Studies Project
Kompetenzen, die Sie erwerben: Risk Analysis
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Evaluation, Model Deployment, Model Training, Model Optimization, Data Preprocessing, MLOps (Machine Learning Operations), Data Cleansing, Microservices, Data Pipelines, Feature Engineering, Data Quality, Containerization, Application Deployment, Service Level, Extract, Transform, Load, Data Transformation, System Monitoring, Machine Learning Methods, Performance Tuning, Machine Learning Algorithms
Mittel · Spezialisierung · 3–6 Monate

University of Arizona
Kompetenzen, die Sie erwerben: Brand Strategy, Brand Marketing, Branding, Marketing Communications, Brand Management, Brand Awareness, Marketing Effectiveness, Advertising, Marketing, Marketing Strategies, Strategic Marketing, Brand Loyalty, Social Media Marketing, Online Advertising, Direct Marketing, Product Marketing, Marketing Strategy and Techniques, Digital Advertising, Advertising Campaigns, Digital Marketing
Anfänger · Kurs · 1–3 Monate