1.01

▶️

Part-1: Develop and Deploy: Sample Code Creation and Deployment Guide

Section 1 · Lesson 1

▶ Play

1.02

▶️

Part-2: Deploy and Test: Sample Project Implementation

Section 1 · Lesson 2

▶ Play

1.03

▶️

Part-3: Learn How to Move Code from PyCharm to GitHub: A Step-by-Step Guide

Section 1 · Lesson 3

▶ Play

1.04

🔒

Part-4: Master the Git Workflow: Understanding PULL, PUSH, and COMMIT Operations

Section 1 · Lesson 4

🔒 Enroll

1.05

🔒

Part-5: How to Provide Input Data to an AWS Lambda Project

Section 1 · Lesson 5

🔒 Enroll

1.06

🔒

Part-6: Please skip this. It is a part-5 video

Section 1 · Lesson 6

🔒 Enroll

1.07

🔒

Part-7: Learn to Create AWS Lambda Layers and Resolve Module Not Found Errors

Section 1 · Lesson 7

🔒 Enroll

1.08

🔒

Part-8: Develop Data Validation Logic to Test User Inputs

Section 1 · Lesson 8

🔒 Enroll

1.09

🔒

Part-9: Use Case 1: Develop AWS Lambda Generic Code to Process User Input and Store in an S3 Bucket

Section 1 · Lesson 9

🔒 Enroll

1.10

🔒

Part-10: Practical Understanding of the Extract, Transform, and Load (ETL) Process

Section 1 · Lesson 10

🔒 Enroll

1.11

🔒

Part-11: Use Case 1: Storing User Input Data in S3

Section 1 · Lesson 11

🔒 Enroll

1.12

🔒

Part-12: Use Case 2: Read Data from S3 and Save it Back to S3

Section 1 · Lesson 12

🔒 Enroll

1.13

🔒

Part-13: Use Case 2: Retrieve Data from S3 and Save it Back to S3 (Final)

Section 1 · Lesson 13

🔒 Enroll

1.14

🔒

Part-14: Learn How To Handle Multiple Services Dynamically Based on User Inputs

Section 1 · Lesson 14

🔒 Enroll

1.15

🔒

Part-15: Learn to Build an ETL Engine Using Abstract and Interface Design Concepts

Section 1 · Lesson 15

🔒 Enroll

1.16

🔒

Part-16: Learn to Set Up a MySQL Database on AWS Cloud Platform

Section 1 · Lesson 16

🔒 Enroll

1.17

🔒

Part-17: Use Case 3: Import Data from S3 to MySQL

Section 1 · Lesson 17

🔒 Enroll