Results for "ml+deployment+challenges"
Status: NewStatus: Free TrialSkills you'll gain: Model Deployment, MLOps (Machine Learning Operations), AWS SageMaker, Software Documentation, Data Pipelines, Tensorflow, Model Evaluation, Apache Airflow, Systems Design, Cloud Computing Architecture, Transfer Learning, Unit Testing, Cloud Deployment, PyTorch (Machine Learning Library), API Design, Cloud Computing, Network Architecture, Deep Learning, Python Programming, Data Validation
Status: NewStatus: Free TrialSkills you'll gain: OAuth, Unit Testing, Apache Airflow, Model Evaluation, Data Validation, API Design, Data Pipelines, Test Driven Development (TDD), Data Integrity, Extract, Transform, Load, Multimodal Prompts, Natural Language Processing, MLOps (Machine Learning Operations), OpenAI API, Hugging Face, Large Language Modeling, LLM Application, CI/CD, Tensorflow, PyTorch (Machine Learning Library)
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Containerization, AI Workflows, Model Deployment, Generative AI Agents, LangGraph, Artificial Intelligence and Machine Learning (AI/ML), CrewAI, BeeAI, Docker (Software), Agentic systems, Google Cloud Platform, AWS SageMaker, CI/CD, Cloud Platforms, DevOps, Azure DevOps Pipelines, Kubernetes, Applied Machine Learning, Scalability
Status: NewStatus: Free TrialKodeKloud
Skills you'll gain: AWS SageMaker, Model Deployment, MLOps (Machine Learning Operations), Data Governance, Data Security, Application Deployment, Personally Identifiable Information, Cloud Deployment, General Data Protection Regulation (GDPR), Continuous Deployment, Model Evaluation, Application Programming Interface (API), Continuous Monitoring
Status: Free TrialMicrosoft
Skills you'll gain: Unsupervised Learning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Generative AI Agents, Applied Machine Learning, Azure DevOps, Reinforcement Learning, Data Preprocessing
Status: NewStatus: Free TrialSkills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Microservices, Containerization, Application Deployment, Service Level, Debugging, Unit Testing, Software Testing, System Monitoring, Docker (Software), Software Architecture, Kubernetes, Restful API, CI/CD, Scalability, Systems Architecture, Cloud Computing Architecture, Application Performance Management, Continuous Monitoring
What brings you to Coursera today?
Status: NewStatus: Free TrialSkills you'll gain: Model Evaluation, Model Deployment, Data Preprocessing, MLOps (Machine Learning Operations), Data Cleansing, Microservices, Data Pipelines, Feature Engineering, Data Quality, Data Validation, Containerization, Application Deployment, Service Level, Extract, Transform, Load, Data Transformation, System Monitoring, Applied Machine Learning, Machine Learning Methods, Performance Tuning, Machine Learning Algorithms
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Applied Machine Learning, Machine Learning, Data Governance, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Automation, Unsupervised Learning, Continuous Monitoring
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Continuous Integration, Artificial Intelligence and Machine Learning (AI/ML), DevOps, Service Level Agreement, API Design, Performance Measurement, Performance Analysis
Status: NewStatus: Free TrialSkills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Generative AI, Dependency Analysis, Dashboard, Continuous Deployment, System Monitoring, Responsible AI, Performance Tuning, Cloud Deployment, Site Reliability Engineering, Release Management, Kubernetes, Application Performance Management, CI/CD, Performance Analysis, Continuous Monitoring, Automation, Cloud Platforms, Data-Driven Decision-Making
Status: NewStatus: Free TrialSkills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Software Documentation, Continuous Delivery, Test Automation, CI/CD, Continuous Integration, Technical Documentation, Unit Testing, API Design, Application Programming Interface (API), Maintainability, Version Control, Package and Software Management, Code Review, Verification And Validation
Status: NewStatus: Free TrialSkills you'll gain: LangChain, LLM Application, Prompt Engineering, API Design, MLOps (Machine Learning Operations), Large Language Modeling, Performance Tuning, Microservices, Application Deployment, Kubernetes, Scalability, Site Reliability Engineering, DevOps, CI/CD, Docker (Software), Python Programming, Containerization, System Monitoring, Cloud Platforms, Security Controls
In summary, here are 10 of our most popular ml+deployment+challenges courses
- AI Model Development & Deployment:Â Coursera
- Tokens to Deployment: NLP, Language Models, & Production API:Â Coursera
- AI Agents and MLOps for Production-Ready AI:Â Packt
- Deploy ML Models to Production:Â KodeKloud
- Microsoft AI & ML Engineering:Â Microsoft
- Deploying and Debugging ML Microservices:Â Coursera
- Machine Learning Made Easy for Software Engineers:Â Coursera
- Hands-On MLOps Fundamentals for ML Engineers:Â KodeKloud
- Deploy & Optimize ML Services Confidently:Â Coursera
- Deploying and Maintaining Production AI Systems:Â Coursera
