More to explore:

Results for "robotics engineering"

  • Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Retrieval-Augmented Generation, PyTorch (Machine Learning Library), Computer Vision, Unsupervised Learning, Generative Model Architectures, Generative AI, Model Optimization, Keras (Neural Network Library), Supervised Learning, LLM Application, Generative AI Agents, Model Evaluation, Vector Databases, Fine-tuning, Machine Learning, Python Programming, Data Science

  • Skills you'll gain: Apache Airflow, Data Modeling, Data Pipelines, Data Storage, Data Storage Technologies, Data Architecture, Requirements Analysis, Data Processing, Data Warehousing, Query Languages, Data Preprocessing, Apache Hadoop, Requirements Elicitation, Vector Databases, Data Lakes, Amazon Web Services, Apache Spark, Infrastructure as Code (IaC), Terraform, Data Management

  • Skills you'll gain: CI/CD, Azure DevOps, Site Reliability Engineering, Terraform, DevOps, Infrastructure as Code (IaC), Cloud-Native Computing, Incident Management, Kubernetes, Continuous Delivery, Azure DevOps Pipelines, Hardening, Incident Response, IT Automation, Cloud Management, Cloud Platforms, Technical Communication, Automation, YAML, Cloud Infrastructure

  • Skills you'll gain: Prompt Engineering, Prompt Patterns, Unit Testing, Large Language Modeling, LangChain, Generative AI, Retrieval-Augmented Generation, Data Wrangling, Responsible AI, Exploratory Data Analysis, Unsupervised Learning, Model Evaluation, Generative Model Architectures, PyTorch (Machine Learning Library), LLM Application, Keras (Neural Network Library), Supervised Learning, Vector Databases, Fine-tuning, Data Import/Export

  • Skills you'll gain: Unsupervised Learning, Fine-tuning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Generative Model Architectures, Natural Language Processing, 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, Applied Machine Learning, Data Preprocessing, Model Optimization

  • Skills you'll gain: User Story, Cloud Deployment, CI/CD, Unit Testing, Software Development Life Cycle, Bash (Scripting Language), Open Web Application Security Project (OWASP), Package and Software Management, Continuous Integration, OpenShift, Istio, Kubernetes, Cloud Infrastructure, Test Driven Development (TDD), Git (Version Control System), DevOps, Grafana, Software Engineering, Data Import/Export, Application Development

  • What brings you to Coursera today?

  • Skills you'll gain: Data Engineering, Data Pipelines, Database Management, Data Manipulation, Databases, Data Transformation, Continuous Deployment, Devops Tools, Change Control, DevOps, SQL, CI/CD, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Role-Based Access Control (RBAC), Data Import/Export, Stored Procedure, Generative AI, Data Sharing, Data Analysis

  • Skills you'll gain: Prompt Engineering, AI Orchestration, AI Workflows, LangGraph, Agentic Workflows, LangChain, Retrieval-Augmented Generation, Prompt Patterns, Prompt Engineering Tools, LLM Application, Tool Calling, Agentic systems, Model Context Protocol, Generative AI Agents, Generative AI, AI Security, Vector Databases, Responsible AI, AI Integrations, Software Development

  • Skills you'll gain: NoSQL, Extract, Transform, Load, Database Administration, Apache Spark, Data Warehousing, Web Scraping, Bash (Scripting Language), Package and Software Management, Data Pipelines, Apache Hadoop, Database Design, SQL, IBM Cognos Analytics, Data Store, Generative AI, Professional Networking, Data Import/Export, Python Programming, Data Analysis, Data Science

  • Skills you'll gain: Data Warehousing, Data Flow Diagrams (DFDs), Data Modeling, Data Pipelines, Ansible, Cloud Security, Diagram Design, Data Validation, Database Design, Apache Airflow, Star Schema, Snowflake Schema, Interviewing Skills, Apache Spark, PySpark, CI/CD, Docker (Software), SQL, Workflow Management, Git (Version Control System)

  • Skills you'll gain: MLOps (Machine Learning Operations), Model Training, Data Pipelines, Feature Engineering, Data Governance, Extract, Transform, Load, Test Data, Model Evaluation, AI Workflows, Data Processing, Data Integrity, Data Quality, Text Mining, Data Capture, Data Store, Release Management, Database Systems, Requirements Analysis, Data Management, Dependency Analysis

  • Skills you'll gain: Business Analysis, Requirements Elicitation, Data Storytelling, Business Analysis Tools, Stakeholder Management, Stakeholder Analysis, Process Optimization, Requirements Management, Prompt Engineering, Business Requirements, Process Modeling, Process Improvement and Optimization, Data Presentation, Process Analysis, Data Modeling, Responsible AI, Business Process Modeling, Business Analytics, Excel Formulas, Data Cleansing