Mastering Deployment of AI Pipelines

👉 Welcome to Module 5: Mastering Deployment of AI Pipelines

Welcome to Module 5: Deployment! This module is designed to help you understand and implement the deployment process for a production-grade API. You will learn how to design APIs tailored for LLM-based interactions, use tools like Docker and AWS Lambda for deployment, and ensure scalability and reliability for real-world applications.

Module Overview

Module Overview Objective: Learn to build and deploy the entire pipeline as a production-grade API, ensuring scalability and reliability.

Lesson Structure

Each lesson within this module includes:

Introduction Video (Pre-recorded Lecture): Key concepts explained.
Hands-On Coding Session: Guided walkthrough with downloadable resources.
Activities & Assignments: Practice exercises to apply your knowledge.
Quiz: Short quiz to test your understanding.
Resources: Links to external documentation and courses for deeper learning.

What You´ll Learn in Module 5

Lesson 1: Designing APIs for LLM-Based Interactions

Principles of API design for AI-powered applications.
Structuring endpoints for flexibility and scalability.
Best practices for handling API requests and responses.

Lesson 2: Containerizing Applications with Docker

- Introduction to containerization and its benefits.
- Writing Dockerfiles for AI applications.
- Building and testing Docker containers locally.

Lesson 3: Deploying to Production Platforms

Overview of deployment tools (e.g., AWS Lambda, Kubernetes).
Steps to deploy using AWS Lambda.
Ensuring scalability and reliability in a cloud environment.

Course Navigation and Tools

Course Dashboard

Video lectures and downloadable materials are organized in the dashboard.
Hands-on labs and coding environments are integrated (e.g., Jupyter, Colab, VSCode).

Resources Provided

Sample API templates: Flask/FastAPI starter projects.
Docker guides: Instructions for creating and managing containers.
AWS Lambda setup guides: Step-by-step instructions for deployment.

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