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Results for "data+augmenting"


  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI for Everyone

    Skills you'll gain: Generative AI, Responsible AI, Data Ethics, AI Enablement, AI powered creativity, Artificial Intelligence, Creative Problem-Solving, Critical Thinking

    4.7
    Rating, 4.7 out of 5 stars
    ·
    175 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    Status: AI skills
    AI skills
    D

    DeepLearning.AI

    Retrieval Augmented Generation (RAG)

    Skills you'll gain: Retrieval-Augmented Generation, LLM Application, Large Language Modeling, Prompt Engineering, Vector Databases, Embeddings, System Monitoring, Application Security, Fine-tuning, Artificial Intelligence, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    192 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Fast-Track Data Analysis and Presentations

    Skills you'll gain: Prompt Patterns, Prompt Engineering, Responsible AI, Data Presentation, Sampling (Statistics), Excel Formulas, Spreadsheet Software, Generative AI, Data Analysis, Analytical Skills

    4.9
    Rating, 4.9 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Advanced Data Science Techniques (with AWS Integration)

    Skills you'll gain: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Model Deployment, Model Optimization, Cloud Deployment, Amazon Web Services, Applied Machine Learning, Model Training, Advanced Analytics, Machine Learning Methods, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Model Evaluation, Forecasting, Data Preprocessing, Dimensionality Reduction

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Advanced Data Analysis with Generative AI

    Skills you'll gain: Generative AI, Anomaly Detection, Predictive Modeling, Text Mining, Predictive Analytics, Advanced Analytics, Data Cleansing, Natural Language Processing, Unstructured Data, Data Analysis, Forecasting, Statistical Analysis, Data Quality, Time Series Analysis and Forecasting, Model Evaluation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    56 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Smart Analytics, Machine Learning, and AI on Google Cloud

    Skills you'll gain: Model Deployment, Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Unstructured Data, Machine Learning Methods, Model Training, Applied Machine Learning, Cloud API, Big Data, Machine Learning, Jupyter

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.2K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Politecnico di Milano

    Platform Thinking: exploiting data through platforms

    Skills you'll gain: Data Strategy, Data Ethics, Data Sharing, Customer Data Management, Market Opportunities, Data Governance, Data Management, Data-Driven Decision-Making, Data-Driven Marketing, Big Data, Customer Insights, Personally Identifiable Information, Data Literacy, Advertising, Strategic Thinking, Data Collection, Personalized Service, Business Transformation, Innovation, Business Modeling

    4.9
    Rating, 4.9 out of 5 stars
    ·
    18 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Michigan

    AI-Powered Data Analysis: A Practical Introduction

    Skills you'll gain: Data Wrangling, Analytical Skills, Data Analysis, Data Cleansing, Data Literacy, AI literacy, Generative AI, ChatGPT, Prompt Engineering Tools, Version Control, Data Visualization Software, Statistical Analysis, Data Collection, Data Management, GitHub, Technical Support

    4.5
    Rating, 4.5 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    Scrimba

    Retrieval-Augmented Generation (RAG) with Embeddings & Vector Databases

    Skills you'll gain: Retrieval-Augmented Generation, Vector Databases, Embeddings, Development Environment, OpenAI API, AI Integrations, Large Language Modeling, Database Management Systems, Databases, OpenAI, Artificial Intelligence, System Configuration

    4.7
    Rating, 4.7 out of 5 stars
    ·
    63 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    F

    Fractal Analytics

    Data Frameworks for Generative AI

    Skills you'll gain: Generative AI, Generative AI Agents, Retrieval-Augmented Generation, Enterprise Architecture, Metadata Management, Data Science, Machine Learning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Hands-on Foundations for Data Science and Machine Learning with Google Cloud Labs

    Skills you'll gain: Data Warehousing, Google Cloud Platform, Big Data, Model Evaluation, Apache Spark, Data Integration, Dataflow, SQL, Data Pipelines, Metadata Management, Data Management, Real Time Data, Tensorflow, Data Science, Command-Line Interface, Applied Machine Learning, Cloud-Based Integration, Apache Hadoop, Query Languages, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    125 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Create Embeddings, Vector Search, and RAG with BigQuery

    Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Google Gemini, Vector Databases, Generative AI, Google Cloud Platform

    Advanced · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular data+augmenting courses

  • GenAI for Everyone: Coursera
  • Retrieval Augmented Generation (RAG): DeepLearning.AI
  • Fast-Track Data Analysis and Presentations: Google
  • Advanced Data Science Techniques (with AWS Integration): Coursera
  • Advanced Data Analysis with Generative AI: Microsoft
  • Smart Analytics, Machine Learning, and AI on Google Cloud: Google Cloud
  • Platform Thinking: exploiting data through platforms: Politecnico di Milano
  • AI-Powered Data Analysis: A Practical Introduction: University of Michigan
  • Retrieval-Augmented Generation (RAG) with Embeddings & Vector Databases: Scrimba
  • Data Frameworks for Generative AI: Fractal Analytics

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