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  • Data Parallelism

Results for "data parallelism"


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    IBM

    Generative AI Engineering with LLMs

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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    891 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    C

    Coursera

    Automate Your Reports with Ease

    Skills you'll gain: Marketing Automation, Email Automation, Scheduling, Management Reporting, Performance Reporting, Automation, Stakeholder Communications, Report Writing, Scalability, Continuous Improvement Process

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    ML Concepts, Models & Workflow Essentials

    Skills you'll gain: Java Programming, Java, Feature Engineering, Deep Learning, Data Pipelines

    Advanced · Course · 1 - 4 Weeks

  • Status: New
    New
    E

    EDUCBA

    Analyze and Automate Pivot Table Problem Solutions

    Skills you'll gain: Business Reporting, Project Documentation, Issue Tracking, Data Presentation, Data Validation, Data Visualization Software

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
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    Simplilearn

    Master the Basics of Digital Analytics Training

    Skills you'll gain: Data-Driven Decision-Making, Web Analytics, Performance Analysis, Operational Efficiency, Performance Measurement, Business Analytics, Business Intelligence, Analytics, Data Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Inferential Statistics

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, R (Software), Statistical Methods, Statistics, R Programming, Statistical Analysis, Probability & Statistics, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation

    4.8
    Rating, 4.8 out of 5 stars
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    2.8K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 1: Representation

    Skills you'll gain: Bayesian Network, Graph Theory, Probability Distribution, Network Model, Statistical Modeling, Markov Model, Decision Support Systems, Probability & Statistics, Network Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.4K reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
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    Coursera

    Agentic AI Protocols (MCP, A2A, ACP)

    Skills you'll gain: AI Orchestration, AI Workflows, Agentic Workflows, Agentic systems, Collaborative Software, System Design and Implementation, Interoperability, Coordination, Communication Systems, Network Protocols, Workflow Management, Case Studies, Scalability

    Mixed · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Fine-Tune & Optimize Generative AI Models

    Skills you'll gain: Hugging Face, Large Language Modeling, MLOps (Machine Learning Operations), Generative AI, Artificial Intelligence and Machine Learning (AI/ML), AI Product Strategy, Transfer Learning, Applied Machine Learning, AI Personalization, Model Deployment, Model Evaluation, Responsible AI, Performance Tuning, Model Based Systems Engineering, Program Evaluation, Analysis

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Coursera

    Agentic AI Content for Practitioners: Product

    Skills you'll gain: Agentic Workflows, Prompt Engineering, Agentic systems, AI Personalization, AI Enablement, Artificial Intelligence, Human Computer Interaction, Human Centered Design, Responsible AI, User Flows, User Experience Design, Context Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Managing Machine Learning Projects with Google Cloud

    Skills you'll gain: Data Ethics, Google Cloud Platform, Applied Machine Learning, Image Analysis, Responsible AI, Machine Learning, Model Evaluation, Data Strategy, Data Governance, AI Enablement, Innovation, Feasibility Studies, Business Analysis, Model Deployment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    3.7K reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI Prompting, Evaluation, and Governance

    Skills you'll gain: Responsible AI, AI Security, Prompt Engineering, Generative AI, Governance Risk Management and Compliance, Content Performance Analysis, Risk Management, Governance, Retrieval-Augmented Generation, Model Evaluation, Compliance Management, Data-Driven Decision-Making, Performance Analysis, Cross-Functional Team Leadership, System Monitoring, Gap Analysis, Large Language Modeling, Performance Metric, Quality Assessment, Cost Benefit Analysis

    Intermediate · Course · 1 - 4 Weeks

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

  • Generative AI Engineering with LLMs: IBM
  • Automate Your Reports with Ease: Coursera
  • ML Concepts, Models & Workflow Essentials: Coursera
  • Analyze and Automate Pivot Table Problem Solutions: EDUCBA
  • Master the Basics of Digital Analytics Training: Simplilearn
  • Inferential Statistics: Duke University
  • Probabilistic Graphical Models 1: Representation: Stanford University
  • Agentic AI Protocols (MCP, A2A, ACP): Coursera
  • Fine-Tune & Optimize Generative AI Models: Coursera
  • Agentic AI Content for Practitioners: Product: Coursera

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