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  • Knowledge Engineering

Results for "knowledge engineering"


  • T

    The Hong Kong University of Science and Technology

    Mathematics for Engineers

    Skills you'll gain: Differential Equations, Linear Algebra, Matlab, Engineering Calculations, Engineering Analysis, Numerical Analysis, Finite Element Methods, Integral Calculus, Mathematical Software, Mechanical Engineering, Calculus, electromagnetics, Algebra, Applied Mathematics, Mathematical Modeling, Engineering, Simulation and Simulation Software, Advanced Mathematics, Geometry, Computational Thinking

    4.8
    Rating, 4.8 out of 5 stars
    ·
    7.8K reviews

    Beginner · Specialization · 3 - 6 Months

  • C

    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

  • S

    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
    ·
    324 reviews

    Intermediate · Specialization · 3 - 6 Months

  • 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
    ·
    947 reviews

    Intermediate · Specialization · 3 - 6 Months

  • I

    IBM

    Introduction to Data Engineering

    Skills you'll gain: Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Storage Technologies, Data Storage, Relational Databases, Data Integration, Apache Hadoop, Data Warehousing, Databases, Data Lakes, SQL, Data Governance, Apache Spark, Data Security, NoSQL, Data Transformation, Data Science

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.6K reviews

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Google Cloud Database Engineer

    Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Application Deployment, Prompt Engineering, Kubernetes, Containerization, Database Architecture and Administration, MySQL, Cloud Computing Architecture, Dataflow, PostgreSQL, Identity and Access Management, Cloud Deployment, Data Migration, Cloud Management, Cloud Security, Cloud Applications, Operational Databases, Database Design, Database Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    49K reviews

    Intermediate · Specialization · 3 - 6 Months

  • E

    Edureka

    LLM Engineering: Prompting, Fine-Tuning, Optimization & RAG

    Skills you'll gain: Retrieval-Augmented Generation, Prompt Engineering, Multimodal Prompts, Prompt Patterns, Prompt Engineering Tools, LLM Application, Model Evaluation, LangChain, Large Language Modeling, Hugging Face, Transfer Learning, Model Deployment, Responsible AI, Performance Tuning, AI Workflows, Generative AI, LangGraph, Embeddings, Context Management, Vector Databases

    Intermediate · Specialization · 3 - 6 Months

  • I

    IBM

    Data Engineering Foundations

    Skills you'll gain: Extract, Transform, Load, Web Scraping, Database Design, SQL, IBM DB2, Database Management, Relational Databases, Data Architecture, Data Pipelines, Databases, Big Data, Data Storage Technologies, Unit Testing, Data Storage, Stored Procedure, Data Import/Export, SQL Server Integration Services (SSIS), Programming Principles, PostgreSQL, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    60K reviews

    Beginner · Specialization · 3 - 6 Months

  • 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, Data Lakes, AI Enablement, Cloud Computing

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

    Intermediate · Professional Certificate · 3 - 6 Months

  • I

    IBM

    Generative AI for Data Engineers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, Snowflake Schema, Star Schema, Responsible AI, Data Warehousing, Data Ethics, Real Time Data, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, AI Personalization, Machine Learning, Context Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    11K reviews

    Intermediate · Specialization · 1 - 3 Months

  • G

    Google Cloud

    Preparing for Google Cloud Certification: Cloud Data Engr

    Skills you'll gain: Real Time Data, Data Lakes, Model Deployment, Google Cloud Platform, Feature Engineering, PySpark, Data Pipelines, Cloud Storage, Data Import/Export, Dataflow, Big Data, Apache Spark, Apache Hadoop, Dashboard, Data Architecture, Data Governance, Apache Kafka, Data Infrastructure, Tensorflow, Data Warehousing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.9K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • P

    Packt

    Mastering Azure Databricks for Data Engineers

    Skills you'll gain: Databricks, CI/CD, Apache Spark, Microsoft Azure, Data Governance, Data Lakes, Data Architecture, Integration Testing, Real Time Data, Data Integration, PySpark, Data Pipelines, Data Management, Automation, Data Storage, Jupyter, File Systems, Development Testing, Data Processing, Data Quality

    4.4
    Rating, 4.4 out of 5 stars
    ·
    47 reviews

    Intermediate · Specialization · 1 - 3 Months

1234…834

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

  • Mathematics for Engineers: The Hong Kong University of Science and Technology
  • Open source Data Engineering with Spark, dbt & Airflow: Coursera
  • AI Engineering: Scrimba
  • Generative AI Engineering with LLMs: IBM
  • Introduction to Data Engineering: IBM
  • Google Cloud Database Engineer: Google Cloud
  • LLM Engineering: Prompting, Fine-Tuning, Optimization & RAG: Edureka
  • Data Engineering Foundations: IBM
  • Preparing for Google Cloud Certification: Machine Learning Engineer: Google Cloud
  • Generative AI for Data Engineers: IBM

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