Results for "end-to-end+ml+workflow+management"
Skills you'll gain: Model Training, Fine-tuning, Model Evaluation, Model Optimization, Machine Learning Methods, Predictive Modeling, Tensorflow, Statistical Machine Learning, Machine Learning Software, MLOps (Machine Learning Operations), Computer Vision, Performance Testing, Transfer Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Verification And Validation, Network Architecture, Deep Learning, Benchmarking, PyTorch (Machine Learning Library)
Skills you'll gain: 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)
Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Regression Testing, Kubernetes, Docker (Software), Feature Engineering, Containerization, Software Documentation, Data Pipelines, Git (Version Control System), Apache Airflow, Technical Documentation, Microservices, CI/CD, Unit Testing, API Design, Performance Metric, Python Programming, Version Control, Verification And Validation
Skills you'll gain: OAuth, Unit Testing, Apache Airflow, Fine-tuning, Model Evaluation, Data Validation, API Design, Test Driven Development (TDD), Data Integrity, Extract, Transform, Load, Multimodal Prompts, Natural Language Processing, MLOps (Machine Learning Operations), OpenAI API, Data Presentation, Hugging Face, Token Optimization, LLM Application, CI/CD, Tensorflow
Skills you'll gain: MLOps (Machine Learning Operations), Model Evaluation, Model Deployment, AI Orchestration, AI Workflows, Generative AI, Google Cloud Platform, Data Modeling, Continuous Monitoring, Data Pipelines, Model Training, Feature Engineering, Model Optimization, DevOps, Agentic Workflows, Generative AI Agents, Data Store, Continuous Deployment, Data Preprocessing, Forecasting
Skills you'll gain: Process Mapping, Time Management, Dashboard, Collaborative Software, Project Portfolio Management, LinkedIn, Sprint Planning, Workflow Management, Project Management, Compliance Reporting, Backlogs, AI Enablement, Stakeholder Management, Resource Management, Portfolio Management, Stakeholder Engagement, Risk Management, Process Improvement, Agile Methodology, Key Performance Indicators (KPIs)
What brings you to Coursera today?
Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Model Training, Amazon Web Services, Apache Airflow, Data Pipelines, Apache Kafka, DevOps, CI/CD, Apache Spark, Pandas (Python Package), Deep Learning, Machine Learning, Data Governance, Supervised Learning, Flask (Web Framework), Grafana, Python Programming, Automation, Unsupervised Learning
Skills 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
Microsoft
Skills you'll gain: Unsupervised Learning, Fine-tuning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Generative Model Architectures, 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, Data Infrastructure, Data Preprocessing, Model Optimization
Skills you'll gain: Workflow Management, Business Workflow Analysis, Process Mapping, Process Management, Process Analysis, Process Optimization, Process Flow Diagrams, Business Process Management, Process Improvement, Team Performance Management, Operational Efficiency, Team Management, Team Leadership, Analysis
Skills you'll gain: MLOps (Machine Learning Operations), Continuous Integration, Artificial Intelligence and Machine Learning (AI/ML), Service Level Agreement, Performance Stress Testing, Performance Measurement, Performance Analysis
Coursera
Skills you'll gain: Model Deployment, Unit Testing, MLOps (Machine Learning Operations), Kubernetes, Docker (Software), Containerization, Test Driven Development (TDD), Application Deployment, Continuous Integration, Software Testing, Model Training, CI/CD, Scalability, Scikit Learn (Machine Learning Library), Tensorflow, PyTorch (Machine Learning Library), Performance Tuning, Python Programming, Software Engineering, Git (Version Control System)
In summary, here are 10 of our most popular end-to-end+ml+workflow+management courses
- Train, Tune, & Ship: End-to-End Machine Learning Engineering:Â Coursera
- Confluence Automation, AI & Advanced Workflows:Â Coursera
- Gradient to Production: MLOps & Model Serving:Â Coursera
- Tokens to Deployment: NLP, Language Models, & Production API:Â Coursera
- Machine Learning Operations (MLOps) on Google Cloud:Â Google Cloud
- Asana Mastery with AI Integration Essentials:Â Coursera
- Hands-On MLOps Fundamentals for ML Engineers:Â KodeKloud
- Build Next-Gen LLM Apps with LangChain & LangGraph:Â Coursera
- Microsoft AI & ML Engineering:Â Microsoft
- Introduction to Workflow Management:Â Coursera
