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  • Building Slp And Mlp Models

Results for "building+slp+and+mlp+models"


  • Status: New
    New
    Status: Free
    Free
    A

    Amazon Web Services

    Optimizing Foundation Models

    Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Vector Databases, Amazon Web Services, Agentic systems, Performance Tuning, Transfer Learning, Data Preprocessing

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Large Language Model Operations (LLMOps)

    Skills you'll gain: Prompt Engineering, Databricks, Large Language Modeling, Model Deployment, LLM Application, Generative AI, Performance Analysis, Retrieval-Augmented Generation, Apache Airflow, Workflow Management, Hugging Face, Amazon Bedrock, Vector Databases, Data Lakes, ChatGPT, Extract, Transform, Load, OpenAI, MLOps (Machine Learning Operations), OpenAI API, Scalability

    4.4
    Rating, 4.4 out of 5 stars
    ·
    264 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
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    P

    Packt

    Building and Fine-Tuning LLM Applications

    Skills you'll gain: Retrieval-Augmented Generation, AI Workflows, Model Deployment, Transfer Learning, Application Deployment, Embeddings, Vector Databases, Model Evaluation

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    DevOps, DataOps, MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Rust (Programming Language), Microsoft Copilot, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Big Data

    4.2
    Rating, 4.2 out of 5 stars
    ·
    207 reviews

    Advanced · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    E

    Edureka

    Developing LLM Applications with LangChain

    Skills you'll gain: LangChain, LLM Application, Retrieval-Augmented Generation, OpenAI API, LangGraph, AI Workflows, Large Language Modeling, AI Orchestration, Responsible AI, Generative AI, Agentic systems, Prompt Engineering, Generative AI Agents, Natural Language Processing, Cloud Development, Application Programming Interface (API), Python Programming, Application Deployment, Data Processing, Pandas (Python Package)

    Intermediate · Course · 1 - 4 Weeks

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

    Pearson

    Introduction to Transformer Models for NLP

    Skills you'll gain: Vision Transformer (ViT), Prompt Engineering, PyTorch (Machine Learning Library), Model Deployment, Transfer Learning, Hugging Face, Natural Language Processing, MLOps (Machine Learning Operations), Large Language Modeling, Cloud Deployment, Computer Vision, Generative AI, Image Analysis, Application Deployment, Generative Model Architectures, Embeddings, Data Preprocessing, Model Evaluation

    Intermediate · Specialization · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI Language Modeling with Transformers

    Skills you'll gain: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Transfer Learning, Embeddings, Natural Language Processing, Text Mining, Applied Machine Learning, Performance Tuning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    130 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
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    S

    SAS

    Managing Machine Learning Models

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Machine Learning Software, Workflow Management, Predictive Modeling, Business Process, Governance Risk Management and Compliance, Continuous Monitoring, SAS (Software), Text Mining, R Programming, Scheduling

    Intermediate · Course · 1 - 4 Weeks

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

    Coursera

    Generative AI and Large Language Models

    Skills you'll gain: Generative AI, Generative Model Architectures, Large Language Modeling, LLM Application, Generative Adversarial Networks (GANs), Retrieval-Augmented Generation, OpenAI, Hugging Face, Multimodal Prompts, Responsible AI, Embeddings, Prompt Engineering, AI Security, Autoencoders, Vision Transformer (ViT), Model Deployment, Image Analysis

    Intermediate · Course · 1 - 3 Months

  • M

    Microsoft

    Working with large language models using Azure

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, LLM Application, Microsoft Azure, ChatGPT, Model Deployment, Embeddings, Application Design, Cloud Applications, Application Deployment, Application Performance Management, Model Evaluation, Semantic Web

    Intermediate · Course · 1 - 4 Weeks

  • M

    Microsoft

    MLOps and responsible AI practices

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Data Ethics, Azure DevOps Pipelines, Azure DevOps, Model Deployment, Generative AI, AI Workflows, Microsoft Azure, Application Lifecycle Management, CI/CD, Version Control, System Monitoring, Continuous Monitoring

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    MLOps Tools: MLflow and Hugging Face

    Skills you'll gain: MLOps (Machine Learning Operations), Model Deployment, Cloud Deployment, Hugging Face, Containerization, CI/CD, DevOps, Docker (Software), Microsoft Azure, Cloud Computing, Machine Learning Software, Transfer Learning, Model Evaluation, GitHub

    3.7
    Rating, 3.7 out of 5 stars
    ·
    59 reviews

    Advanced · Course · 1 - 4 Weeks

1234…9

In summary, here are 10 of our most popular building+slp+and+mlp+models courses

  • Optimizing Foundation Models: Amazon Web Services
  • Large Language Model Operations (LLMOps): Duke University
  • Building and Fine-Tuning LLM Applications: Packt
  • DevOps, DataOps, MLOps: Duke University
  • Developing LLM Applications with LangChain: Edureka
  • Introduction to Transformer Models for NLP: Pearson
  • Generative AI Language Modeling with Transformers: IBM
  • Managing Machine Learning Models: SAS
  • Generative AI and Large Language Models: Coursera
  • Working with large language models using Azure: Microsoft

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