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Results for "model training"


  • N

    Neal Davis

    AWS Machine Learning Engineer Associate Exam Prep

    Skills you'll gain: Model Deployment, AWS SageMaker, Amazon Bedrock, MLOps (Machine Learning Operations), Amazon Web Services, Cloud Deployment, Data Preprocessing, Model Evaluation, Amazon S3, Generative AI, Data Storage, Generative Model Architectures, Data Storage Technologies, Model Training, Feature Engineering, Exploratory Data Analysis, Applied Machine Learning, Machine Learning, Amazon Redshift, Cloud Engineering

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    AI Capstone Project with Deep Learning

    Skills you'll gain: Keras (Neural Network Library), Deep Learning, PyTorch (Machine Learning Library), Computer Vision, Machine Learning, Python Programming

    ★ 4.5 (697) · Advanced · Course · 1 - 4 Weeks

  • M

    Microsoft

    Prepare for DP-100: Data Science on Microsoft Azure Exam

    Skills you'll gain: Databricks, Model Deployment, Responsible AI, Model Training, Microsoft Azure, Data Science, Applied Machine Learning, Data Integration, MLOps (Machine Learning Operations), Predictive Modeling, Model Evaluation, Machine Learning Methods, Machine Learning, Data Preprocessing

    ★ 4.4 (80) · Intermediate · Course · 1 - 3 Months

  • M

    Microsoft

    Build and Operate Machine Learning Solutions with Azure

    Skills you'll gain: Microsoft Azure, MLOps (Machine Learning Operations), Data Store, Databricks, Cloud Management, Cloud Computing, Applied Machine Learning, Model Deployment, Data Pipelines, Model Training, Data Preprocessing, Model Optimization, Responsible AI, Machine Learning, Model Evaluation, Information Privacy, Data Security

    ★ 3.7 (71) · Intermediate · Course · 1 - 3 Months

  • M

    Microsoft

    Microsoft Azure Machine Learning for Data Scientists

    Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Model Training, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Machine Learning Algorithms, Data Pipelines, Data Transformation

    ★ 4.3 (178) · Intermediate · Course · 1 - 4 Weeks

  • W

    Whizlabs

    NVIDIA: Fundamentals of Machine Learning

    Skills you'll gain: Data Preprocessing, Unsupervised Learning, Model Evaluation, Time Series Analysis and Forecasting, Supervised Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Model Training, Feature Engineering, Artificial Intelligence, Deep Learning, Classification Algorithms, Generative AI, Model Optimization, Regression Analysis

    ★ 4.5 (28) · Intermediate · Course · 1 - 4 Weeks

  • M

    Microsoft

    Perform data science with Azure Databricks

    Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Data Lakes, Model Training, Machine Learning Methods, Data Processing, Deep Learning, Data Transformation, Model Deployment, Data Pipelines, Data Manipulation, Model Evaluation, Machine Learning, Distributed Computing, Exploratory Data Analysis

    ★ 3.1 (79) · Intermediate · Course · 1 - 3 Months

  • C

    CertNexus

    Finalize a Data Science Project

    Skills you'll gain: Applied Machine Learning, Machine Learning, Machine Learning Methods, Data Storytelling, Stakeholder Engagement, Machine Learning Algorithms, Presentations, Data Presentation, Stakeholder Communications, MLOps (Machine Learning Operations), Model Training, Model Optimization, Web Applications, Continuous Deployment, Project Closure, Data-Driven Decision-Making, Solution Delivery, Data Visualization, Data Science, Communication

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Machine Learning with PySpark: Customer Churn Analysis

    Skills you'll gain: Model Evaluation, Data Preprocessing, Exploratory Data Analysis, Feature Engineering, Model Deployment, Data Analysis, PySpark, Model Training, Data Cleansing, Data Import/Export, Data Transformation, Apache Spark, Data-Driven Decision-Making, AI Enablement, Decision Tree Learning, Predictive Modeling, Predictive Analytics, Machine Learning

    ★ 4.7 (26) · Intermediate · Guided Project · Less Than 2 Hours

  • W

    Whizlabs

    NVIDIA: Large Language Models and Generative AI Deployment

    Skills you'll gain: Large Language Modeling, Generative AI, LLM Application, Generative Model Architectures, Model Deployment, Fine-tuning, Model Optimization, Model Training, Natural Language Processing, Prompt Engineering, Deep Learning, MLOps (Machine Learning Operations), Model Evaluation, Data Cleansing, Machine Learning, Data Quality

    ★ 4.1 (8) · Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Open Source LLMOps Solutions

    Skills you'll gain: LLM Application, Hugging Face, Large Language Modeling, Fine-tuning, Natural Language Processing, Model Deployment, Open Source Technology, Containerization, C (Programming Language), Machine Learning, Cross Platform Development

    ★ 4.8 (26) · Beginner · Course · 1 - 4 Weeks

  • L

    LearnKartS

    AWS AI Practitioner Certification Prep

    Skills you'll gain: Prompt Engineering, Responsible AI, Prompt Engineering Tools, Computer Vision, Model Optimization, Generative Model Architectures, Machine Learning Methods, AI Workflows, Machine Learning Algorithms, Applied Machine Learning, Artificial Intelligence, Model Training, Cloud Security, Amazon Elastic Compute Cloud, Risking, AI literacy, Embeddings, MLOps (Machine Learning Operations), Deep Learning, Data Wrangling

    ★ 4.5 (13) · Beginner · Specialization · 1 - 3 Months

1…101112…734

In summary, here are 10 of our most popular model training courses

  • AWS Machine Learning Engineer Associate Exam Prep: Neal Davis
  • AI Capstone Project with Deep Learning : IBM
  • Prepare for DP-100: Data Science on Microsoft Azure Exam: Microsoft
  • Build and Operate Machine Learning Solutions with Azure: Microsoft
  • Microsoft Azure Machine Learning for Data Scientists: Microsoft
  • NVIDIA: Fundamentals of Machine Learning: Whizlabs
  • Perform data science with Azure Databricks: Microsoft
  • Finalize a Data Science Project: CertNexus
  • Machine Learning with PySpark: Customer Churn Analysis: Coursera
  • NVIDIA: Large Language Models and Generative AI Deployment: Whizlabs

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