| 1 -GenAI Integration Options.mp4 | 35.9 MB | ||
| 1 -Introduction to Docker and Dockerfile.mp4 | 39.8 MB | ||
| 1 -Kubernetes Basics for AI Workloads.mp4 | 22.6 MB | ||
| 1 -Overview of APIs.mp4 | 27.8 MB | ||
| 1 -Overview of Generative AI and Its Applications.mp4 | 28.4 MB | ||
| 1 -Set Up AWS Account and Permissions.mp4 | 68.7 MB | ||
| 1 -Setting Up the Environment.mp4 | 30.6 MB | ||
| 2 -Building the application.mp4 | 66.6 MB | ||
| 2 -Create a Streamlit Application for Text Summarization.mp4 | 59 MB | ||
| 2 -Create the FastAPI App.mp4 | 54.6 MB | ||
| 2 -Creating Kubernetes Deployments for Generative AI Models.mp4 | 24.4 MB | ||
| 2 -Designing the Application.mp4 | 54.8 MB | ||
| 2 -GenAI Deployment Options.mp4 | 49.1 MB | ||
| 2 -Set Up AWS Account and Permissions.mp4 | 39.6 MB | ||
| 2 -Setting up the environment.mp4 | 30.2 MB | ||
| 2 -Types of Generative Models.mp4 | 38.1 MB | ||
| 3 -Applying the deployment configuration and pod scaling.mp4 | 32 MB | ||
| 3 -Build the Streamlit Front End.mp4 | 42.2 MB | ||
| 3 -Building the User Interface.mp4 | 37.6 MB | ||
| 3 -Challenges in Deploying Generative AI Systems.mp4 | 37 MB | ||
| 3 -Creating and Running a Container for the Generative AI Model.mp4 | 30.4 MB | ||
| 3 -Designing APIs for AI Model Interaction.mp4 | 36.6 MB | ||
| 3 -Handling User Questions.mp4 | 37.7 MB | ||
| 3 -Run the App Locally for Testing.mp4 | 59 MB | ||
| 3 -Selecting a Model Architecture.mp4 | 27.1 MB | ||
| 4 -Building the Streamlit Interface.mp4 | 40.1 MB | ||
| 4 -Frontend for Displaying Application.mp4 | 50.1 MB | ||
| 4 -Selecting a Deployment Option.mp4 | 32.4 MB | ||
| 4 -Test the application locally.mp4 | 42.8 MB | ||
| 4 -Testing the Application Locally.mp4 | 30.3 MB | ||
| 5 -Choosing the Deployment Option.mp4 | 51.3 MB | ||
| 5 -Deploy the Application.mp4 | 24.6 MB | ||
| 5 -Selecting the Deployment Option.mp4 | 34.9 MB | ||
| 5 -Testing the application locally.mp4 | 40.5 MB | ||
| 6 -Deploy the Chat Application.mp4 | 35 MB | ||
| 6 -Deploying the Application.mp4 | 43.8 MB | ||
| 6 -Deploying the application.mp4 | 40.8 MB | ||
| 7 -Recap of Key Concepts and Applications.mp4 | 26.3 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 42 total files | |||
Integration and Deployment of GenAI Models
https://WebToolTip.com
Published 3/2025
Created by Skool of AI,Meta Brains
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 40 Lectures ( 2h 56m ) | Size: 1.54 GB
Master API Integration, Docker Containerization, Kubernetes & Cloud Deployment for Production-Ready GenAI Applications
What you'll learn
Deploy generative AI models in real-world applications with ease and efficiency.
Integrate APIs to enhance AI capability within custom applications.
Develop interactive applications using frameworks like Streamlit.
Containerize AI solutions using Docker for seamless deployment.
Master Kubernetes to scale and manage AI-based applications effectively.
Optimize generative AI workflows for performance and accuracy.
Build production-ready AI systems with robust development tools.
Understand advanced AI deployment strategies and best practices.
Requirements
Basic understanding of Python programming concepts.
Familiarity with APIs and basic web development is helpful but not mandatory.
A computer with internet access and Python installed.
No prior AI or Machine Learning experience required—ideal for beginners!
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