
Use ChatGPT to prepare for coding tests with dotnet prompts, practice questions, and review of answers, then develop test cases and unit tests with NUnit while exploring alternatives.
Use ChatGPT to simulate a tech lead interview on cloud computing, architecture, and Docker, covering private/public/hybrid clouds, deployment models, auto scaling, and Dockerfile and Docker Compose.
Explore how to use ChatGPT to prepare for AZ-104, create a customized four-week study plan aligned to your schedule, and access official Azure resources with included URLs.
Learn docker concepts with ChatGPT by exploring basics, core terms (images, containers, dockerfiles, registry, volumes, networks, compose), essential commands (pull, run, nginx, hello world), and guided prompts for practice.
Explore building a multi-stage docker image for a dotnet web api named Breezy Weather, using chatgpt to craft, compare with official dockerfiles, and troubleshoot builds end-to-end.
Learn to document an OpenAPI specification for a weather API using ChatGPT, generating introductions, scope, endpoints, requests, responses, examples, and models.
Use ChatGPT to generate test cases for a weather API, turning context into ready-to-use Excel tables with sample JSON requests, responses, and edge-case coverage.
Leverage ChatGPT to build a breezy weather dotnet core web api from scratch, exposing a get endpoint with an in-memory database, then extend with a post operation and curl-based testing.
Use ChatGPT to generate unit tests for the breezy weather web api, with a dotnet NUnit test project and in-memory context. Explore edge cases for get and post weather.
Learn how to use ChatGPT to explain code in a dotnet web api, including weather data endpoints and concepts like dependency injection, dbcontext, dbset, and sqlite with entity framework core.
Brainstorm the Breezy Weather API design with ChatGPT, outlining endpoints, data formats, security, and on-prem SQL Server schemas, along with architecture, modules, and documentation best practices.
Design a breezy weather app API using OpenAPI and ChatGPT, drafting a YAML-based OpenAPI spec with get and post endpoints, weather tags, and authentication options.
Welcome to the comprehensive course on ChatGPT, an AI tool for Software Development. This course is designed for beginners who want to master AI-powered software development using ChatGPT and advanced prompt engineering techniques. You will discover how to harness the full potential of artificial intelligence to revolutionize your development workflow, accelerate coding tasks, and enhance your overall productivity. No prior experience with ChatGPT or AI tools is required.
Topics covered:
Introduction to ChatGPT and AI fundamentals for developers
ChatGPT for Technical Certification Preparation
AI-Assisted Tech Interview Preparation and Practice
ChatGPT for Docker containerization and DevOps
AI-Powered System Design and Architecture Planning
Intelligent Programming with ChatGPT code generation
Automated Documentation with AI assistance
AI prompt engineering best practices for developers
Integrating ChatGPT with development workflows and IDEs
What You Will Achieve:
Master ChatGPT and advanced AI prompt engineering techniques specifically for software development.
Dramatically boost your development productivity using AI-powered tools and workflows.
Design robust systems, write efficient code, and create comprehensive documentation with the aid of AI.
Instructor Expertise:
Praveen brings 17+ years of enterprise experience from Honeywell and Bosch, specializing in .NET and cloud platforms. His credentials include a patent, published research papers, and a track record of successfully training thousands of professionals through over 20 courses and 70 hands-on labs in Cloud-Native technologies.
Enroll now and transform your software development career with the power of ChatGPT and AI.