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Results for "ml+deployment+challenges"
Whizlabs
Skills you'll gain: Data Model, Machine Learning
- Status: Free
DeepLearning.AI
Skills you'll gain: Performance Testing, Android Development, PyTorch (Machine Learning Library), Embedded Software, Deep Learning, Tensorflow, Hardware Architecture, Artificial Neural Networks, Real Time Data, Computer Vision, Artificial Intelligence, Machine Learning
Duke University
Skills you'll gain: Cloud Computing
LearnKartS
Skills you'll gain: Data Management, Salesforce
Skills you'll gain: Application Deployment, Kubernetes, Network Troubleshooting, Performance Tuning, Continuous Deployment, Network Routing, Network Security, CI/CD, Containerization, Network Administration, Network Infrastructure, Scalability
- Status: Free
Amazon Web Services
Google Cloud
Skills you'll gain: Leadership and Management
Google Cloud
Google Cloud
Skills you'll gain: Application Development, Cloud Computing, Google Cloud Platform
Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Artificial Intelligence, Machine Learning Methods, Scalability, Machine Learning, Distributed Computing, Tensorflow, Deep Learning, MLOps (Machine Learning Operations), Ethical Standards And Conduct, Capacity Management, Microsoft Azure, Information Privacy
LearnKartS
Skills you'll gain: DevOps
In summary, here are 10 of our most popular ml+deployment+challenges courses
- ML Algorithms:Â Whizlabs
- Introduction to On-Device AI:Â DeepLearning.AI
- GenAI and LLMs on AWS:Â Duke University
- Reports, Dashboards, and Deployment:Â LearnKartS
- Advanced Kubernetes Deployment Strategies and Networking:Â LearnQuest
- Building a Machine Learning Ready Organization:Â Amazon Web Services
- ML Pipelines on Google Cloud - í•œêµì–´: Google Cloud
- Deploy Your Website on Cloud Run:Â Google Cloud
- Machine Learning Operations (MLOps): Getting Started - Português Brasileiro: Google Cloud
- Continuous Delivery with Google Cloud Deploy:Â Google Cloud