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Keep shoppingAI Augmented Software Engineering: Build Apps Faster with AI
2,562 students
AI Augmented Software Engineering: Build Apps Faster with AI
Master AI coding, ChatGPT, prompt engineering, automation, and build real-world apps using AI-powered development workfl
Created byAkhil Vydyula
Last updated 3/2026
English
English [Auto],
What you'll learn
- Master the AI Engineer’s Stack: Build production-ready RAG pipelines, agents, and LLM-powered features using LangChain, LlamaIndex, and Vector Databases.
- Automate the DevSecOps Lifecycle: Leverage AI for Infrastructure as Code (Terraform), CI/CD pipeline generation (GitHub Actions), and automated security scannin
- Implement Advanced Prompt Engineering: Design Chain-of-Thought, Tree-of-Thoughts, and Retrieval-Augmented Generation (RAG) prompts to eliminate hallucinations.
- Optimize Code Quality & Observability: Use GitHub Copilot for advanced refactoring, AI-driven code reviews, and setting up intelligent monitoring for production
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Course content
6 sections • 6 lectures • 51m total length
Requirements
- Basic Programming Experience: Familiarity with at least one language (Python, JavaScript, or Java) is required. You will be writing code in the AI engineering modules.
- Understanding of Git: You should know basic Git commands (commit, push, pull) as we integrate AI into GitHub workflows.
- A Computer & Internet: A modern machine (8GB+ RAM) and a stable internet connection to access LLM APIs (OpenAI/Anthropic) and cloud IDEs.
- No AI Experience Needed: This course is designed to take you from a traditional software engineer to an AI-augmented engineer. No prior Machine Learning or Data Science background is required.
Description
Are you ready to transform the way you build software using Artificial Intelligence?
In this course, AI Augmented Software Engineering, you will learn how to leverage powerful AI tools like ChatGPT and modern AI-assisted development techniques to design, build, and deploy applications faster than ever before.
Software engineering is evolving rapidly, and developers who use AI are gaining a massive advantage in productivity, efficiency, and innovation. This course is designed to help you stay ahead by teaching you how to integrate AI into your daily development workflow.
You will learn how to use AI for code generation, debugging, testing, documentation, and even system design. We will also cover prompt engineering techniques that allow you to communicate effectively with AI tools to get accurate and optimized results.
By the end of this course, you will be able to build real-world applications using AI-assisted workflows, understand modern AI design patterns, and apply automation to reduce manual effort in development.
Whether you are a beginner, a working professional, or an entrepreneur, this course will give you the skills needed to thrive in the future of software engineering.
If you want to code smarter, build faster, and future-proof your career, this course is for you.
Who this course is for:
- This course is designed for Software Engineers, DevOps Architects, and Technical Team Leads who want to stop using AI for basic coding and start engineering with AI.
- This course is ideal for software engineers, data engineers, students, and tech enthusiasts who want to leverage AI to code faster, smarter, and build real-world applications efficiently.
- Perfect for beginners, students, and career switchers looking to enter software engineering using AI-powered development techniques.
- Great for professionals who want to stay ahead by learning AI-augmented coding, automation, and modern development workflows.
- Entrepreneurs and startup founders who want to build MVPs quickly using AI-driven development without large teams.
- Tech enthusiasts who want to explore the future of software engineering with AI agents, prompt engineering, and automation.
- Suitable for full-stack developers, backend engineers, and cloud engineers aiming to integrate AI into real-world projects.