MLOps (Machine Learning Operations)

Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Cloud Infrastructure, Cloud Platforms, Artificial Intelligence, Applied Machine Learning, Machine Learning, Natural Language Processing, Automation

Skills you'll gain: CI/CD, MLOps (Machine Learning Operations), Apache Airflow, Data Pipelines, Google Cloud Platform, Tensorflow, Kubernetes, Metadata Management, Applied Machine Learning, Machine Learning Methods, Scikit Learn (Machine Learning Library), Containerization, Data Processing

Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Responsible AI, Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Dataflow, Keras (Neural Network Library), Data Quality, Exploratory Data Analysis, Machine Learning Methods, Machine Learning, Applied Machine Learning, Data Pipelines, Apache Airflow, Scikit Learn (Machine Learning Library), Data Cleansing, Real Time Data, Cloud Computing

Skills you'll gain: MLOps (Machine Learning Operations), Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Data Pipelines, Network Troubleshooting, Cloud Computing, Cloud Security, Software Versioning, CI/CD, Continuous Monitoring, Data Storage, Data Quality, Data Validation

Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Business Operations, Machine Learning, Ethical Standards And Conduct, Applied Machine Learning, Business Strategy, Data Maintenance, Risk Mitigation, Performance Metric, Systems Integration, Stakeholder Communications

Skills you'll gain: Generative AI, Supervised Learning, Generative Model Architectures, Unsupervised Learning, Large Language Modeling, Time Series Analysis and Forecasting, Exploratory Data Analysis, LLM Application, Applied Machine Learning, Data Collection, Machine Learning Algorithms, OpenAI, Feature Engineering, Data Ethics, Dimensionality Reduction, MLOps (Machine Learning Operations), Machine Learning, Multimodal Prompts, Data Processing, Network Architecture

Skills you'll gain: Data Ethics, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning, Responsible AI, Performance Measurement, Predictive Modeling, Leadership and Management, Predictive Analytics, Data Processing, Fraud detection, Business Leadership, Business Transformation, Data-Driven Decision-Making, Business Priorities, Data Science

Skills you'll gain: MLOps (Machine Learning Operations), Continuous Deployment, Application Deployment, R Programming, Dashboard, Health Informatics, Continuous Monitoring, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Feature Engineering, Docker (Software), Data Manipulation, Application Programming Interface (API)

Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Quality, Technical Management, Applied Machine Learning, Project Management, Data Processing, Artificial Intelligence and Machine Learning (AI/ML), Software Development Life Cycle, Machine Learning, Data Cleansing, Data Pipelines, Technical Design, Technology Solutions, Systems Design, Data Collection, Data Science, Systems Architecture, Feature Engineering, System Monitoring

Skills you'll gain: Responsible AI, LLM Application, Large Language Modeling, Google Cloud Platform, MLOps (Machine Learning Operations), Software Versioning, Supervised Learning

Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Machine Learning, Applied Machine Learning, Data Strategy, Data Quality, MLOps (Machine Learning Operations), Unsupervised Learning, Data Cleansing, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Scikit Learn (Machine Learning Library), Dataflow, Data Processing, Data Pipelines, Artificial Neural Networks

Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Machine Learning Methods, Systems Architecture, Performance Tuning, Applied Machine Learning, Distributed Computing, Scalability, Data Pipelines, Data Processing