[Update Course] Machine Learning Deep Learning model deployment

Machine Learning Deep Learning model deployment | Udemy [03/2023]
English | Size: 2.71 GB
Genre: eLearning

Serving TensorFlow Keras PyTorch Python model Flask Serverless REST API MLOps MLflow NLP tensorflow.js deplo OpenAI GPT

What you’ll learn
Machine Learning Deep Learning Model Deployment techniques
Simple Model building with Scikit-Learn , TensorFlow and PyTorch
Deploying Machine Learning Models on cloud instances
TensorFlow Serving and extracting weights from PyTorch Models
Creating Serverless REST API for Machine Learning models
Deploying tf-idf and text classifier models for Twitter sentiment analysis
Deploying models using TensorFlow js and JavaScript
Machine Learning experiment and deployment using MLflow

In this course you will learn how to deploy Machine Learning Deep Learning Models using various techniques. This course takes you beyond model development and explains how the model can be consumed by different applications with hands-on examples

Course Structure:

Creating a Classification Model using Scikit-learn

Saving the Model and the standard Scaler

Exporting the Model to another environment – Local and Google Colab

Creating a REST API using Python Flask and using it locally

Creating a Machine Learning REST API on a Cloud virtual server

Creating a Serverless Machine Learning REST API using Cloud Functions

Building and Deploying TensorFlow and Keras models using TensorFlow Serving

Building and Deploying PyTorch Models

Converting a PyTorch model to TensorFlow format using ONNX

Creating REST API for Pytorch and TensorFlow Models

Deploying tf-idf and text classifier models for Twitter sentiment analysis

Deploying models using TensorFlow.js and JavaScript

Tracking Model training experiments and deployment with MLFLow

Running MLFlow on Colab and Databricks

Appendix – Generative AI – Miscellaneous Topics.

OpenAI and the history of GPT models

Creating an OpenAI account and invoking a text-to-speech model from Python code

Invoking OpenAI Chat Completion, Text Generation, Image Generation models from Python code

Creating a Chatbot with OpenAI API and ChatGPT Model using Python on Google Colab

ChatGPT, Large Language Models (LLM) and prompt engineering

Python basics and Machine Learning model building with Scikit-learn will be covered in this course. This course is designed for beginners with no prior experience in Machine Learning and Deep Learning

You will also learn how to build and deploy a Neural Network using TensorFlow Keras and PyTorch. Google Cloud (GCP) free trial account is required to try out some of the labs designed for cloud environment.

Who this course is for:
Machine Learning beginners

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[Update Course] Machine Learning Deep Learning model deployment | Udemy

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