Master AWS Speed Coding with ChatGPT

Overview

Dive into a transformative learning experience with our current course, Master AWS Speed Coding with ChatGPT. This course is meticulously crafted to help you harness the power of AWS alongside the speed and efficiency of ChatGPT, preparing you for the fast-evolving tech landscape. Whether you're looking to boost your career or master new skills, our comprehensive curriculum is tailored to meet your learning needs.

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Target Audience

This course is tailored for experienced AWS developers, cloud engineers, and technical professionals who want to level up their AWS skills while maximizing productivity. If you’re someone who regularly interacts with AWS services and feels the pressure to deliver faster, high-quality solutions, this course is for you.

It’s also ideal for tech-savvy beginners who may be new to AWS but are eager to leverage AI to accelerate their learning curve. Even if you're still building your foundational knowledge, ChatGPT will help you navigate challenges, offering real-time guidance and insights.

Outline

(Length of current course content: ~4 hours 57 minutes)


Module 1: Introduction to Speed Coding with ChatGPT
(~30 minutes)

Explore the transformative potential of AI in coding with this foundational module. Learn the principles of speed coding and how ChatGPT acts as a powerful tool for coding assistance, generating solutions, and solving problems efficiently within AWS environments. By the end of this module, you'll understand how to leverage AI to streamline and enhance your AWS development workflows.

  • Course Introduction (6.27 minutes )
  • Introduction to ChatGPT and GenAI basics (6.02 minutes )
  • Speed Coding Strategies Techniques and Workflows (5.97 minutes )
  • Prompt Engineering (3.99 minutes )
  • Demo: Prompt Engineering (8.72 minutes )

Module 2: Preparing Your AWS Development Environment and Tools
(~3 hours 5 minutes)

Set up for success by configuring the essential tools needed throughout this course. This module introduces AWS Identity and Access Management (IAM) concepts and core AWS development tools, including the AWS Command Line Interface (CLI), AWS CloudFormation, and the AWS Serverless Application Model (SAM). Gain practical insights into their purpose and usage, laying the groundwork for efficient development in AWS.

  • Module Overview (1.93 minutes )
  • Demo: Creating an AWS Account (8.86 minutes ) optional for experienced users
  • AWS IAM Resources Overview (16.43 minutes ) optional for experienced users
  • Demo: Creating IAM Users Groups and Policies (14.12 minutes ) optional for experienced users
  • Demo: Creating IAM Managed Policies and User Groups Part 1 (10.62 minutes ) optional for experienced users
  • Demo: Creating IAM Managed Policies and User Groups Part 2 (12.7 minutes ) optional for experienced users
  • Demo: Creating IAM Roles (12.12 minutes ) optional for experienced users
  • Demo: Creating Course Resources (12.01 minutes )
  • Demo: Installing the AWS CLI (4.66 minutes )
  • Demo: AWS CLI Configuration (14.35 minutes )
  • Demo: AWS CLI Basics (18.96 minutes ) optional for experienced users
  • Introduction to AWS CloudFormation (6.21 minutes ) optional for experienced users
  • Demo: AWS CloudFormation Basics (18.66 minutes ) optional for experienced users
  • Introduction to Docker (3.19 minutes ) optional for experienced users
  • Demo: Install Docker (2.63 minutes ) optional for experienced users
  • Demo: Docker Basics (10.92 minutes ) optional for experienced users
  • Introduction to AWS SAM (3.83 minutes ) optional for experienced users
  • Demo: Installing AWS SAM (2.82 minutes )
  • Demo: Getting Started with AWS SAM (10.73 minutes ) optional for experienced users

Module 3: Using ChatGPT with Core AWS Services
(~1 hour 20 minutes)

Discover how ChatGPT can assist with key AWS services to simplify and accelerate your workflows. This module covers using ChatGPT to interact with services such as Amazon API Gateway, AWS Lambda, Amazon DynamoDB, Amazon Simple Storage Service (S3), Amazon Elastic Compute Cloud (EC2), and Amazon Relational Database Service (RDS). Learn to integrate and optimize these services with AI-powered support.

  • Creating AWS IAM Resources (2.78 minutes )
  • Demo: Automating AWS IAM Role and Policy Creation for AWS Services (5.97 minutes )
  • Demo: Creating Temporary IAM Credentials using AWS STS (3.0 minutes )
  • Demo: Managing IAM Users and Groups (8.96 minutes )
  • Challenge: Create an IAM Role for EKS with Admin access (1.2 minutes )
  • Introduction to Working with API Gateway Lambda and S3 (7.43 minutes )
  • Demo: Automating a serverless api with API gateway Lambda and S3 (11.67 minutes )
  • Demo: Generate Secure PreSigned URLs for S3 Downlaods (12.66 minutes )
  • Modifying Prompts to deal with Evolving Technologies (3.99 minutes )
  • Demo: Set Up S3 Static Website Hosting and Amazon CloudFront Part 1 (12.2 minutes )
  • Demo: Set Up S3 Static Website Hosting and Amazon CloudFront Part 2 (10.47 minutes )
  • Additional lessons coming soon.

Module 4: Creating an AWS Serverless Solution with ChatGPT

Take your skills further by building an end-to-end serverless solution in AWS using ChatGPT. This module demonstrates how to combine multiple services, automate workflows, and implement serverless architecture, showcasing the power of ChatGPT in crafting comprehensive, scalable solutions.

  • Coming Soon

Module 5: Creating an AWS Web Application with ChatGPT

Shift your focus to creating a complete web application with ChatGPT, leveraging managed AWS infrastructure services like Amazon EC2 and Amazon RDS. This module emphasizes developing robust, scalable web solutions with ChatGPT as your coding partner.

  • Coming Soon

Module 6: Real-World Project: Applying ChatGPT in AWS

Capstone your learning with a hands-on project that brings everything together. In this final module, you'll apply ChatGPT to solve a real-world AWS problem, utilizing the services, tools, and techniques explored throughout the course. By completing this project, you'll solidify your knowledge and gain practical experience in using ChatGPT for AWS development.

  • Coming Soon