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  • Hands On Ml Model Development


Results for "hands-on+ml+model+development"


  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Azure ML: Explore & Configure the Machine Learning Workspace

    Skills you'll gain: Statistical Modeling, Microsoft Azure, Statistical Methods, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, MLOps (Machine Learning Operations), Azure Synapse Analytics, Cloud Computing, Data Preprocessing, Data Management, Model Deployment, Model Evaluation, Development Environment

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    W

    Whizlabs

    AWS: ML Workflows with SageMaker, Storage & Security

    Skills you'll gain: AWS SageMaker, AWS Kinesis, Amazon Redshift, Cloud Security, MLOps (Machine Learning Operations), Amazon S3, Amazon CloudWatch, AWS Identity and Access Management (IAM), Model Deployment, Real Time Data, Feature Engineering, Data Storage, Data Security, Encryption, Key Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    NVIDIA: Large Language Models and Generative AI Deployment

    Skills you'll gain: Large Language Modeling, Generative AI, Model Deployment, Natural Language Processing, Prompt Engineering, Deep Learning, MLOps (Machine Learning Operations), Cloud Deployment, Model Evaluation, Continuous Monitoring, Data Cleansing, Machine Learning

    4
    Rating, 4 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    W

    Whizlabs

    AWS: Model Training , Optimization & Deployment

    Skills you'll gain: Model Deployment, Cloud Deployment, Amazon Elastic Compute Cloud, Model Evaluation, Continuous Deployment, Continuous Integration, Debugging

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Building Production-Ready Apps with Large Language Models

    Skills you'll gain: Prompt Engineering, LLM Application, Model Deployment, Responsible AI, Application Deployment, Application Development, Hugging Face, Data Ethics, Generative AI, AI Security, Application Security, Continuous Monitoring

    4
    Rating, 4 out of 5 stars
    ·
    28 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Hands-on with Cisco Modeling Labs 2 (CML2)

    Skills you'll gain: Virtual Networking, VMware ESX Servers, Virtual Local Area Network (VLAN), Network Model, Software Installation, Command-Line Interface, Virtualization, Network Troubleshooting, Computing Platforms, General Networking, System Configuration, User Interface (UI), Simulations, Remote Access Systems, Application Programming Interface (API), System Requirements

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    DevOps to MLOps Bootcamp– Build & Deploy ML Systems

    Skills you'll gain: Model Deployment, Data Preprocessing, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Hands-on with SCCM

    Skills you'll gain: Application Deployment, Windows PowerShell, Operating System Administration, Patch Management, System Monitoring, Active Directory, Software Installation, System Configuration, Microsoft Intune (Mobile Device Management Software), Configuration Management, Operating Systems, System Support, Package and Software Management, Microsoft Windows, Continuous Deployment, Azure Active Directory, SQL Server Reporting Services, Systems Administration, Hyper-V, Enterprise Architecture

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Quick Start Guide to Large Language Models (LLMs): Unit 1

    Skills you'll gain: Prompt Engineering, Large Language Modeling, LLM Application, Retrieval-Augmented Generation, ChatGPT, Natural Language Processing, Generative AI Agents, Embeddings, Generative AI, Deep Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Serverless Computing, Machine Learning, Python Programming

    3.7
    Rating, 3.7 out of 5 stars
    ·
    53 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership

    Skills you'll gain: Data Ethics, Data Preprocessing, Technical Management, Model Evaluation, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning, Performance Reporting, Predictive Analytics, Fraud detection, Business Leadership, Strategic Leadership, Data Science

    4.8
    Rating, 4.8 out of 5 stars
    ·
    77 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Creative Coding: Hands-On Python

    Skills you'll gain: Debugging, Unit Testing, Relational Databases, Object Oriented Programming (OOP), Databases, Data Visualization Software, Object Oriented Design, Web Scraping, Creative Design, Data Science, Data Structures, Scatter Plots, Programming Principles, File I/O, Integrated Development Environments, Software Visualization, Python Programming, Computer Programming, Program Development, Diversity and Inclusion

    3.7
    Rating, 3.7 out of 5 stars
    ·
    13 reviews

    Intermediate · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular hands-on+ml+model+development courses

  • Azure ML: Explore & Configure the Machine Learning Workspace: Whizlabs
  • AWS: ML Workflows with SageMaker, Storage & Security : Whizlabs
  • NVIDIA: Large Language Models and Generative AI Deployment: Whizlabs
  • AWS: Model Training , Optimization & Deployment: Whizlabs
  • Building Production-Ready Apps with Large Language Models: Coursera
  • Hands-on with Cisco Modeling Labs 2 (CML2): Packt
  • DevOps to MLOps Bootcamp– Build & Deploy ML Systems: Packt
  • Hands-on with SCCM: Packt
  • Quick Start Guide to Large Language Models (LLMs): Unit 1: Pearson
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University

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