More to explore:

All Results

  • 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: Prompt Patterns, Google Gemini, Generative AI, AI literacy, Model Training, AI Integrations, Google Sheets, Critical Thinking, Innovation

  • Skills you'll gain: Model Deployment, AWS SageMaker, MLOps (Machine Learning Operations), Serverless Computing, Google Cloud Platform, Cloud Deployment, AI Integrations, Docker (Software), Cloud Platforms, Cloud Computing, Containerization, Application Deployment, Amazon Web Services, Restful API, DevOps, CI/CD, Microsoft Azure, Devops Tools, Continuous Integration, API Design

  • Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Google Cloud Platform, Model Evaluation, Model Training, DevOps, Continuous Deployment, CI/CD, AI Workflows, Automation

  • Skills you'll gain: Business Transformation, Innovation, Digital Transformation, Serverless Computing, Cloud Services, Data Ethics, Cloud Infrastructure, Google Cloud Platform, Culture Transformation, Application Programming Interface (API), Technology Strategies, Cloud Security, Data Mapping, Applied Machine Learning, Hybrid Cloud Computing, Data Strategy, Model Training, Cloud Platforms, Image Analysis, Infrastructure As A Service (IaaS)

  • Skills you'll gain: Fine-tuning, MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Hugging Face, GitHub Copilot, Unit Testing, Responsible AI, DevOps, Cloud Computing, Python Programming, Machine Learning, GitHub, Big Data, Data Management, Data Analysis

What brings you to Coursera today?

  • Skills you'll gain: Model Deployment, Google Cloud Platform, Cloud Deployment, Cloud Infrastructure, Hardware Architecture, Model Optimization, Infrastructure Architecture, AI Workflows, Cloud Computing Architecture, Computer Hardware, Computer Architecture, MLOps (Machine Learning Operations), Model Training, Cloud Platforms, Computing Platforms, Performance Tuning, Interoperability, Artificial Intelligence, Product Demonstration, Systems Architecture

  • Skills you'll gain: Generative AI, Generative AI Agents, Google Gemini, Google Cloud Platform, Generative Model Architectures, MLOps (Machine Learning Operations), Prompt Engineering, Tensorflow, AI Workflows, Cloud Infrastructure, Applied Machine Learning, Artificial Intelligence, Data Infrastructure, Multimodal Prompts, Model Deployment, Model Training, Machine Learning, Model Evaluation, Supervised Learning

  • Skills you'll gain: Amazon Bedrock, MLOps (Machine Learning Operations), Amazon Web Services, AWS SageMaker, AI Workflows, Retrieval-Augmented Generation, Shell Script, IT Automation, Unix Shell, Command-Line Interface, AI Integrations, AI Security, Prototyping, Large Language Modeling, Generative AI, Data Management, Anomaly Detection

  • Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Data Modeling, Google Cloud Platform, Feature Engineering, Model Training, Data Store, Data Preprocessing, Data Processing, Data Management, Data Storage Technologies

  • Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, LLM Application, Application Deployment, Model Training, Cloud Deployment, Continuous Deployment, AI Workflows, AI Security, Data Ethics, Responsible AI, Prompt Engineering, Retrieval-Augmented Generation, Scalability, CI/CD, Site Reliability Engineering, Model Evaluation, Release Management, System Monitoring, Containerization

  • Skills you'll gain: Feature Engineering, Model Optimization, Generative AI, Model Deployment, Tensorflow, Generative AI Agents, Google Gemini, Model Training, Keras (Neural Network Library), Machine Learning, Generative Model Architectures, Data Preprocessing, Machine Learning Software, Machine Learning Methods, MLOps (Machine Learning Operations), Google Cloud Platform, Model Evaluation, Data Cleansing, Data Quality, Cloud Computing