Cours en Python
Les cours en Python peuvent vous aider à apprendre la syntaxe, les structures de données et les bases du développement. Vous pouvez développer des compétences en automatisation, analyse de données, scripts et projets pratiques. De nombreux cours utilisent des exemples progressifs pour faciliter l'apprentissage.
Cours et certificats populaires en Python
Northeastern University
Compétences que vous acquerrez: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Autoencoders, Model Optimization
Northwestern University
Compétences que vous acquerrez: Robotics, Mechanics, Torque (Physics), Mathematical Modeling, Mathematical Software, Engineering Analysis, Numerical Analysis, Applied Mathematics, Control Systems, Linear Algebra, Spatial Analysis
Compétences que vous acquerrez: LLM Application, Model Deployment, CI/CD, Amazon CloudWatch, Infrastructure as Code (IaC), Application Deployment, Cloud Deployment, DevSecOps, Enterprise Security, DevOps, Docker (Software), AI Security, Cloud Management, System Monitoring
Compétences que vous acquerrez: Recurrent Neural Networks (RNNs), Fine-tuning, Transfer Learning, Large Language Modeling, Natural Language Processing, Generative AI, Deep Learning, Artificial Neural Networks, Generative Model Architectures, Model Training, Computer Vision
Compétences que vous acquerrez: Retrieval-Augmented Generation, AI Orchestration, Agentic Workflows, AI Workflows, Model Deployment, Cloud Deployment, Tool Calling, Vector Databases
Compétences que vous acquerrez: Model Deployment, MLOps (Machine Learning Operations), AI Security, Cloud Deployment, DevOps, CI/CD, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Metadata Management, System Monitoring, Software Versioning, Incident Response
Compétences que vous acquerrez: MLOps (Machine Learning Operations), Responsible AI, CI/CD, Data Ethics, Model Deployment, Model Training, Continuous Integration, Continuous Delivery, Continuous Deployment, Cloud Platforms, Model Evaluation, Automation, Data Governance, Data Pipelines, Performance Tuning, Continuous Monitoring, Performance Analysis, Analysis
Compétences que vous acquerrez: Apache Spark, Performance Tuning, PySpark, Service Level, Resource Allocation, Process Optimization, Performance Analysis, Memory Management, Job Analysis, System Configuration
Coursera
Compétences que vous acquerrez: Unit Testing, Test Driven Development (TDD), Continuous Integration, CI/CD, Software Testing, Continuous Deployment, Testability, Test Script Development, Model Training, MLOps (Machine Learning Operations), Tensorflow, Maintainability, Applied Machine Learning, Software Engineering, Code Reusability, Machine Learning Methods, Python Programming
Northwestern University
Compétences que vous acquerrez: Control Systems, Robotics, Simulation and Simulation Software, Graph Theory, Mathematical Software, Mathematical Modeling, Algorithms, Virtual Environment, Applied Mathematics, Torque (Physics)
Compétences que vous acquerrez: Cloud-Native Computing, Cloud Applications, Cloud Development, Serverless Computing, Cloud API, API Gateway, Application Development, Google Cloud Platform, Authentications, Cloud-Based Integration, Application Programming Interface (API), Identity and Access Management, Event-Driven Programming, Node.JS, Authorization (Computing)
Compétences que vous acquerrez: Cloud Development, Software Architecture, Systems Architecture, Microservices, Scalability, Cloud Deployment, Microsoft SQL Servers, Distributed Computing, Microsoft Visual Studio, Application Deployment, Integrated Development Environments
En résumé, voici 10 de nos cours les plus populaires sur python .
- Statistical Learning for Engineering Part 2: Northeastern University
- 현대 로봇공학, 강좌 2: 로봇 기구학: Northwestern University
- Automate & Secure LLM Deployments: Coursera
- Sequence Modeling, Transformers, and Transfer Learning: Packt
- Build Real world End-to-End AI Agents using AWS Bedrock: Packt
- Secure AI Model Deployments & Lifecycles: Coursera
- Automate, Validate, and Promote ML Models Safely: Coursera
- Optimize Spark Performance & Throughput: Coursera
- Apply Test-Driven ML Code: Coursera
- 현대 로봇공학, 강좌 4: 로봇 동작 계획 및 제어: Northwestern University
