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Free Course Download100% Free Direct MP4 LinksUdemyWeb & Full-Stack Development2024-12 Edition

Download 2025 Deploy ML Model in Production with FastAPI and Docker Course for Free

Download the complete 2025 Deploy ML Model in Production with FastAPI and Docker video course for free with high-definition MP4 video lectures, project exercise archives, and step-by-step masterclasses. Learn offline at your own pace with zero paywalls or recurring subscriptions.

146Lectures
49Total Hours
6469.9MB Total Size
MP4 / 1080p HD
Instructor: Udemy
English
all levels
Tags:#2024 Deploy ML Model in Production with FastAPI and Docker#2024 Deploy ML Model in Production with FastAPI and Docker download#2024 Deploy ML Model in Production with FastAPI and Docker free#2024 Deploy ML Model in Production with FastAPI and Docker free download#download 2024 Deploy ML Model in Production with FastAPI and Docker#free 2024 Deploy ML Model in Production with FastAPI and Docker#free download 2024 Deploy ML Model in Production with FastAPI and Docker#Laxmi Kant | KGP Talkie#free-download#video-course
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Install Requirements.txt

MP4 HD3m6.86 MB
Stream

Course Introduction

MP4 HD6m13.72 MB
Stream

Introduction

MP4 HD6m13.31 MB
Stream

Write Dockerfile for FastAPI

MP4 HD15m32.06 MB
Stream

Docker Introduction Part 3

MP4 HD11m23.15 MB
Stream

Inspect Docker Image

MP4 HD13m29.32 MB
Stream

Basic Docker Command

MP4 HD14m30.82 MB
Stream

Docker Introduction Part 2

MP4 HD12m25.98 MB
Stream

Docker Introduction Part 1

MP4 HD23m49.78 MB
Stream

Pushing Docker Image to Docker Hub

MP4 HD28m62.12 MB
Stream

Pulling Docker Image from Docker Hub

MP4 HD22m49.14 MB
Stream

Run FastAPI inside Docker

MP4 HD33m72.32 MB
Stream

Your First Dockerfile

MP4 HD33m73.09 MB
Stream

Streamlit Basics Part 5

MP4 HD7m15.69 MB
Stream

Streamlit Basics Part 3

MP4 HD6m12.51 MB
Stream

Streamlit Basics Part 6

MP4 HD10m22.83 MB
Stream

Streamlit Basics Part 2

MP4 HD21m46.04 MB
Stream

Streamlit Basics Part 1

MP4 HD9m20.32 MB
Stream

Streamlit App with ML Model Part 1

MP4 HD20m42.97 MB
Stream

Streamlit Basics Part 4

MP4 HD11m23.73 MB
Stream

Streamlit App with ML Model Part 2

MP4 HD20m43.79 MB
Stream

Deploying ML App at Streamlit Server

MP4 HD20m44.62 MB
Stream

Streamlit Application Walkthrough

MP4 HD29m64.34 MB
Stream

Upload Streamlit App on GitHub for Pipeline

MP4 HD27m60.01 MB
Stream

AWS Boto3 - Upload File to S3 with Python

MP4 HD6m13.61 MB
Stream

AWS Boto3 - Create S3 Bucket with Python

MP4 HD10m22.13 MB
Stream

AWS Boto3 - Upload All Files in Dir to S3 using Python

MP4 HD14m31.89 MB
Stream

AWS Boto3 - Delete All Files in an S3 Bucket

MP4 HD16m35.79 MB
Stream

AWS Boto3 - List S3 Objects or Files in the Bucket

MP4 HD9m20.12 MB
Stream

AWS Boto3 - Download S3 File to Local System

MP4 HD10m22.19 MB
Stream

AWS Boto3 - Download Full S3 Dir to Local

MP4 HD25m55.92 MB
Stream

Pydantic Data Class Introduction

MP4 HD11m24.94 MB
Stream

Building Sentiment, Disaster and Human Pose Classifier APIs

MP4 HD9m19.71 MB
Stream

Building Data Classes for ML Models

MP4 HD17m36.68 MB
Stream

API Load Testing

MP4 HD12m26.79 MB
Stream

Doing Data Validation and Modelling for Image Classifier

MP4 HD19m41.75 MB
Stream

Serving ML Models Through API in Streamlit Application Part 2

MP4 HD14m31.72 MB
Stream

Running and Testing Your Application with Data Validation

MP4 HD37m81.79 MB
Stream

Load All ML Models

MP4 HD32m71.42 MB
Stream

Serving ML Models Through API in Streamlit Application Part 3

MP4 HD17m37.68 MB
Stream

Integrating S3 with API for CI-CD

MP4 HD41m89.70 MB
Stream

Deploying ML Model in Production with FastAPI Part 2

MP4 HD18m38.67 MB
Stream

Deploying ML Model in Production with FastAPI Part 1

MP4 HD21m45.19 MB
Stream

Doing Data Validation and Modelling for Output

MP4 HD42m91.99 MB
Stream

Get Presigned Image URL from S3

MP4 HD32m71.30 MB
Stream

Serving ML Models Through API in Streamlit Application Part 1

MP4 HD37m80.97 MB
Stream

Serving All ML Models Over the API

MP4 HD50m109.10 MB
Stream

Deploying ML Model in Production with FastAPI Part 3

MP4 HD47m103.47 MB
Stream
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What You'll Master in this Free Download Course

Deploying Machine Learning Models with FastAPI: Learn how to build and deploy RESTful APIs to efficiently serve ML models.
Cloud-based ML deployment with AWS: Get hands-on experience deploying, managing, and scaling ML models on AWS EC2 and S3.
Automate ML operations with Boto3 and Python: Automate cloud tasks such as instance creation, data storage, and security configuration using Boto3.
Containerize ML applications using Docker: Build and manage Docker containers to ensure consistent and scalable ML deployments across environments.
Simple model inference with real-time APIs: Create high-performance APIs that deliver fast and accurate predictions for production-grade applications.
Optimizing machine learning pipelines for production: design and implement end-to-end ML pipelines, from data acquisition to model deployment, using best practices.
Implement a secure and scalable ML infrastructure: Learn to integrate security protocols and scalability features into your cloud-based ML deployment.
Build interactive web applications with Streamlit: Build and deploy ML-based interactive web applications that are accessible and user-friendly.

About this Free Download Course

2025 Deploy ML Model in Production with FastAPI and Docker, the ML model deployment training course in production with FastAPI and Docker has been published by Yudemy Academy. Discover the power of seamless ML model deployment with our comprehensive course, Deploying Production-Grade ML Models with FastAPI, AWS, Docker, and NGINX. This course is designed for data scientists, machine learning engineers, and cloud professionals who are ready to take their models from development to production. You’ll gain the skills needed to deploy, scale, and manage your machine learning models in real-world environments and ensure they’re robust, scalable, and secure. In today’s fast-paced technology landscape, the ability to deploy machine learning models in manufacturing is a highly sought-after skill. This course combines the latest technologies – FastAPI, AWS, Docker, NGINX and Streamlit – into a powerful learning journey. Whether you’re looking to advance your career or upgrade your skill set, this course provides everything you need to confidently deploy, scale, and manage production-grade ML models. By the end of this course, you will have the expertise to deploy machine learning models that are not only effective, but also scalable, secure, and production-ready in real-world environments. Join us and take the next step in your machine learning journey.

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Yes! If this course includes downloadable source code, exercise assets, or templates, they are available in the "Course Exercise Files & Project Archives" section as standard ZIP files for free download.

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Free Download Summary

Price:100% Free
Total Lectures:146 videos
Total Duration:49 hours
Video Format:MP4 (1080p HD)
Registration:None (Instant Access)
Offline Playback:Supported
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Instructor

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Udemy

Specialist in Web & Full-Stack Development. Real-world engineering curriculum and hands-on masterclasses.

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