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Results for "AppML"


  • Status: Free
    Free
    D

    DeepLearning.AI

    Functions, Tools and Agents with LangChain

    Skills you'll gain: LangChain, LLM Application, Tool Calling, ChatGPT, Generative AI Agents, Prompt Engineering, Application Development, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    112 reviews

    Intermediate · Project · Less Than 2 Hours

  • Status: Free
    Free
    D

    DeepLearning.AI

    LLMOps

    Skills you'll gain: Responsible AI, LLM Application, Large Language Modeling, Google Cloud Platform, MLOps (Machine Learning Operations), Software Versioning, Supervised Learning

    3.9
    Rating, 3.9 out of 5 stars
    ·
    30 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Leveraging Llama2 for Advanced AI Solutions

    Skills you'll gain: LLM Application, Large Language Modeling, LangChain, Technical Management, Prompt Engineering, Generative AI, Generative Model Architectures, Solution Architecture, Analysis, Virtual Environment, System Design and Implementation, User Interface (UI), Design

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Introduction to Retrieval Augmented Generation (RAG)

    Skills you'll gain: LangChain, Prompt Engineering, LLM Application, Large Language Modeling, Tool Calling, ChatGPT, Google Gemini, OpenAI, Generative AI Agents

    4.4
    Rating, 4.4 out of 5 stars
    ·
    22 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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, ChatGPT, Natural Language Processing, Generative AI Agents, Generative AI, Generative Model Architectures, Deep Learning

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Foundations of AI and Machine Learning

    Skills you'll gain: Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, MLOps (Machine Learning Operations), Application Deployment, Data Processing, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, PyTorch (Machine Learning Library), Machine Learning, Tensorflow, Applied Machine Learning, Data Pipelines, Scalability

    4.5
    Rating, 4.5 out of 5 stars
    ·
    216 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes

    Skills you'll gain: Google Cloud Platform, Tensorflow, Kubernetes, Scalability, Application Deployment, Image Analysis, Cloud Computing, MLOps (Machine Learning Operations), System Monitoring, Cloud Management, Cloud Storage, Data Management

    Intermediate · Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Board Infinity

    Power Platform Integration with Azure & Custom APIs

    Skills you'll gain: Application Lifecycle Management, Microsoft Power Platform, Microsoft Power Automate/Flow, Azure DevOps, Microsoft Copilot, Email Automation, Application Deployment, Continuous Deployment, User Interface and User Experience (UI/UX) Design, UI Components, Postman API Platform, Microsoft Azure, Microsoft Development Tools, DevOps, Mobile Development, CI/CD, UI/UX Strategy, Cloud-Based Integration, Application Programming Interface (API), TypeScript

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Build a Machine Learning Web App with Streamlit and Python

    Skills you'll gain: Machine Learning Algorithms, Data Visualization, Dashboard, Interactive Data Visualization, Data Visualization Software, Data Presentation, Machine Learning, Scikit Learn (Machine Learning Library), Web Applications, Predictive Modeling, Data Science, Python Programming, Pandas (Python Package)

    4.7
    Rating, 4.7 out of 5 stars
    ·
    413 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    NVIDIA: Large Language Models and Generative AI Deployment

    Skills you'll gain: Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), Natural Language Processing, Prompt Engineering, Deep Learning, MLOps (Machine Learning Operations), Application Deployment, Tensorflow, Machine Learning Methods, Continuous Monitoring, Data Cleansing, Machine Learning

    4
    Rating, 4 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Gen AI - RAG Application Development using LlamaIndex

    Skills you'll gain: Large Language Modeling, LLM Application, Tool Calling, Generative AI Agents, Generative AI, Application Development, Data Storage Technologies, Natural Language Processing, Data Pipelines, Data Integration

    Intermediate · Course · 1 - 4 Weeks

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

    Pearson

    Quick Start Guide to Large Language Models (LLMs): Unit 3

    Skills you'll gain: Large Language Modeling, Generative Model Architectures, Multimodal Prompts, Prompt Engineering, Deep Learning, Application Deployment, Reinforcement Learning, Image Analysis, Performance Tuning, Computer Vision

    Intermediate · Course · 1 - 4 Weeks

1…567…9

In summary, here are 10 of our most popular AppML courses

  • Functions, Tools and Agents with LangChain: DeepLearning.AI
  • LLMOps: DeepLearning.AI
  • Leveraging Llama2 for Advanced AI Solutions: Coursera
  • Introduction to Retrieval Augmented Generation (RAG): Coursera
  • Quick Start Guide to Large Language Models (LLMs): Unit 1: Pearson
  • Foundations of AI and Machine Learning: Microsoft
  • Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes: Google Cloud
  • Power Platform Integration with Azure & Custom APIs: Board Infinity
  • Build a Machine Learning Web App with Streamlit and Python: Coursera
  • NVIDIA: Large Language Models and Generative AI Deployment: Whizlabs

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