Python-Kurse können Ihnen helfen zu lernen, wie Programme erstellt, Daten verarbeitet und Automatisierungen umgesetzt werden. Sie können Fähigkeiten in Syntax, Funktionen, Datenstrukturen und Bibliotheken aufbauen. Viele Kurse nutzen Beispiele, úbungen und Projekte, um Python anwendbar zu machen.

Kompetenzen, die Sie erwerben: Vector Databases, Retrieval-Augmented Generation, Embeddings, Performance Tuning, Applied Machine Learning, LangChain, Document Management, Docker (Software), Agentic systems, Generative AI, Generative Model Architectures, Model Deployment, LLM Application, Technical Communication, Multimodal Prompts, Search Engine Optimization, Metadata Management, Data Pipelines, Machine Learning, Data Migration
Mittel · Spezialisierung · 3–6 Monate

Cisco Learning and Certifications
Kompetenzen, die Sie erwerben: Software-Defined Data Center (SDDC), Cloud Computing, Data Centers, Cloud Services, Cloud Computing Architecture, Cloud Deployment, Software-Defined Networking, Infrastructure as Code (IaC), Ansible, Cloud Infrastructure, Network Infrastructure, IT Automation, Virtual Networking, Network Architecture, Terraform, Automation, Virtualization, Application Programming Interface (API), Network Model
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Evaluation, Image Analysis, Computer Vision, Vision Transformer (ViT), Tensorflow, Keras (Neural Network Library), AI Workflows, Model Training, Embeddings, Deep Learning, Large Language Modeling, Natural Language Processing, Model Deployment, Model Optimization, Data Pipelines, Risk Modeling, Data Preprocessing
Mittel · Kurs · 1–3 Monate

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Amazon Bedrock, AI Security, Retrieval-Augmented Generation, Docker (Software), Prompt Engineering, GitHub Copilot, Token Optimization, Agentic Workflows, AI Orchestration, LLM Application, Debugging, Serverless Computing, Software As A Service, Model Context Protocol, Amazon Web Services, Large Language Modeling, Rust (Programming Language), Code Review, Natural Language Processing, GitHub
Anfänger · Spezialisierung · 3–6 Monate

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Serverless Computing, Amazon Web Services, Amazon S3, Rust (Programming Language), Other Programming Languages, Cloud-Native Computing, Cloud Deployment, Performance Tuning, Data Engineering, Computing Platforms, Event-Driven Programming, Performance Testing, Ruby (Programming Language), Cloud Computing, Development Environment, Application Deployment, Build Tools, Memory Management
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Sprint Retrospectives, Collaborative Software, Collaboration, Team Building, Team Collaboration, AI Integrations, Teamwork, Sprint Planning, Key Performance Indicators (KPIs), Delegation Skills, Agile Methodology, Milestones (Project Management), Cross-Functional Collaboration, Prompt Engineering, Stakeholder Communications, AI Enablement, Software Documentation, Issue Tracking, Restful API, Bash (Scripting Language)
Mittel · Spezialisierung · 3–6 Monate

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Docker (Software), CI/CD, Containerization, LLM Application, Continuous Integration, Software As A Service, Product Development, Continuous Deployment, Commercialization, Large Language Modeling, Strategic Marketing, Software Development, Marketing Strategies, Application Deployment, Product Planning, Go To Market Strategy, API Design, Generative AI, Software Testing, GitHub
Anfänger · Kurs · 1–4 Wochen

Pragmatic AI Labs
Kompetenzen, die Sie erwerben: Retrieval-Augmented Generation, Amazon Bedrock, LLM Application, AWS SageMaker, Token Optimization, Large Language Modeling, Amazon Web Services, No-Code Development, Prompt Engineering, Generative AI, AI Orchestration, Model Deployment, Generative AI Agents, Package and Software Management, Model Training, Rust (Programming Language), Model Optimization, Performance Tuning
Anfänger · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: OAuth, Authentications, API Design, Enterprise Security, Software Documentation, Application Programming Interface (API), Middleware, API Testing, Restful API, Model Deployment, Security Controls, Data Processing, Software Versioning
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Model Deployment, AI Integrations, Enterprise Application Management, Generative AI Agents, Prompt Engineering, Prompt Patterns, LLM Application, Application Deployment, Role-Based Access Control (RBAC), Prompt Engineering Tools, Health Insurance Portability And Accountability Act (HIPAA) Compliance, User Interface (UI), Package and Software Management, Agentic systems, API Design, UI Components, Restful API, Authentications, Data Persistence, Release Management
Mittel · Kurs · 1–4 Wochen

Kompetenzen, die Sie erwerben: Kundenbetreuung, Python-Programmierung, OpenAI-API, ChatGPT, Benutzerströme, Anwendungsprogrammierschnittstelle (API), Entwicklungsumgebung, LLM-Bewerbung, Generative KI, Schnelles Engineering, Kundenanfragen
Mittel · angeleitetes Projekt · Weniger als 2 Stunden

Kompetenzen, die Sie erwerben: MongoDB, Data Transformation, Customer Analysis, Customer Insights, Back-End Web Development, Customer Data Management, Data Processing, NoSQL, Database Development, Data Maintenance, Document Management, Pandas (Python Package), Database Design, Data Validation, Extract, Transform, Load, Database Management, Databases, Data Pipelines, Data Access, Query Languages
Anfänger · Spezialisierung · 1–3 Monate