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Results for "knowledge engineering"


  • Status: New
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    Pragmatic AI Labs

    Enterprise AI and Data Engineering with Databricks

    Skills you'll gain: Prompt Engineering, MLOps (Machine Learning Operations), Data Pipelines, Databricks, Generative AI, Data Lakes, Generative AI Agents, Data Governance, Data Architecture, AI Enablement, Data Modeling, Data Management, Data Processing, Data Strategy, Data Quality, Scala Programming, SQL, Python Programming, Data Visualization, Data Literacy

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    Coursera

    Git, Docker & CI/CD: DevOps Foundations for Data Engineers

    Skills you'll gain: Ansible, Infrastructure as Code (IaC), Configuration Management, Correlation Analysis, Cloud Security, CI/CD, Docker (Software), GitHub, Dashboard, Collaborative Software, Git (Version Control System), Containerization, Cloud Infrastructure, Data Security, Data Pipelines, Version Control, Continuous Deployment, Continuous Integration, Devops Tools, Kubernetes

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Coursera

    Open source Data Engineering with Spark, dbt & Airflow

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

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: New
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    Coursera

    LLM Engineering That Works: Prompting, Tuning, and Retrieval

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Model Deployment, Feature Engineering, Product Requirements, Prompt Engineering, Prompt Patterns, LLM Application, Kubernetes, AI Security, Systems Architecture, Large Language Modeling, Data Ethics, Software Architecture, Test Automation, Model Evaluation, PyTorch (Machine Learning Library), Apache Airflow, Data Pipelines, SQL

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    Edureka

    Agentic AI Engineering

    Skills you'll gain: LangChain, LangGraph, AI Workflows, LLM Application, AI Orchestration, Agentic Workflows, Generative AI Agents, Tool Calling, Data Transformation, Retrieval-Augmented Generation, Generative AI, Gemini, Artificial Intelligence, Prompt Engineering, Google Gemini, Large Language Modeling, Agentic systems, Data Preprocessing, Model Context Protocol, Responsible AI

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    LearnKartS

    Agentic AI Engineering: RAG, MCP & MERN

    Beginner · Specialization · 1 - 3 Months

What brings you to Coursera today?

  • Status: New
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    Coursera

    DevOps and CI/CD for Data Engineering Performance

    Skills you'll gain: Ansible, Containerization, CI/CD, Docker (Software), Version Control, DevOps, Application Deployment, Data Pipelines, Development Environment, Continuous Integration, Continuous Deployment, Infrastructure as Code (IaC), Git (Version Control System), Data Infrastructure, Configuration Management, Performance Tuning, Root Cause Analysis

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
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    Scrimba

    AI Engineering

    Skills you'll gain: Model Context Protocol, Prompt Engineering, Retrieval-Augmented Generation, LangChain, OpenAI API, Embeddings, Image Analysis, Responsible AI, AI Workflows, LLM Application, Cloud Deployment, Cloud Applications, Multimodal Prompts, Hugging Face, Generative AI, Application Deployment, OpenAI, API Gateway, Vector Databases, Software Engineering

    4.5
    Rating, 4.5 out of 5 stars
    ·
    336 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Data Engineering

    Skills you'll gain: Extract, Transform, Load, NoSQL, Apache Spark, Data Warehousing, Web Scraping, Database Administration, Apache Hadoop, Database Design, Relational Databases, Linux Commands, Data Pipelines, SQL, IBM Cognos Analytics, Database Management, Generative AI, Professional Networking, Data Import/Export, Python Programming, Data Analysis, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    62K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Database Engineer

    Skills you'll gain: MySQL, Database Management, Database Administration, Data Warehousing, Linux Commands, Data Integrity, Unit Testing, Algorithms, Software Versioning, Command-Line Interface, Software Visualization, Linux, Pseudocode, Query Languages, Collaborative Software, Django (Web Framework), Database Architecture and Administration, Programming Principles, Computational Thinking, Test Driven Development (TDD)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7.7K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Preparing for Google Cloud Certification: Machine Learning Engineer

    Skills you'll gain: Feature Engineering, MLOps (Machine Learning Operations), Generative AI, Google Cloud Platform, Model Deployment, Tensorflow, Big Data, Keras (Neural Network Library), Machine Learning, Data Preprocessing, CI/CD, Model Evaluation, Applied Machine Learning, Apache Airflow, Data Migration, Data Cleansing, Data Quality, AI Enablement, Apache Hadoop, Cloud Computing

    4.4
    Rating, 4.4 out of 5 stars
    ·
    4.9K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Generative AI Agents, Vector Databases, LLM Application, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Hugging Face, Transfer Learning, Data Pipelines, Recurrent Neural Networks (RNNs), Data Ethics, Data Preprocessing, Artificial Intelligence, Text Mining

    4.5
    Rating, 4.5 out of 5 stars
    ·
    958 reviews

    Intermediate · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular knowledge engineering courses

  • Enterprise AI and Data Engineering with Databricks: Pragmatic AI Labs
  • Git, Docker & CI/CD: DevOps Foundations for Data Engineers: Coursera
  • Open source Data Engineering with Spark, dbt & Airflow: Coursera
  • LLM Engineering That Works: Prompting, Tuning, and Retrieval: Coursera
  • Agentic AI Engineering: Edureka
  • Agentic AI Engineering: RAG, MCP & MERN: LearnKartS
  • DevOps and CI/CD for Data Engineering Performance: Coursera
  • AI Engineering: Scrimba
  • IBM Data Engineering: IBM
  • Meta Database Engineer: Meta

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70 courses
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