Programming

Prompt Engineering for Full-Stack Developers

Master the art of prompt engineering to leverage LLMs as your coding superpower. Learn to turn ideas into code quickly, generate high-quality code consistently, and build entire features conversationally with AI. This course covers prompt patterns, vibe coding, backend/frontend development …

3 Months Duration
9 Modules
Paid Access

Course fee ₹5000.00

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Learning path

Course Modules

Work through each module and pass quizzes to unlock the next step in your journey.

Module 1 Locked

Prompt Engineering Fundamentals for Developers

Learn the fundamentals of prompt engineering for developers. Understand why LLMs are the new "super IDE", how they interpret code instructions, context windows, model selection, and the difference between deterministic and creative prompts.

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Learning objectives

Understand why LLMs are the new "super IDE" for developers
Learn how LLMs interpret code instructions
Master context windows for code (very important!)
Select appropriate models for coding tasks
Differentiate between deterministic vs creative code prompts
Write structured prompts vs vibe-based natural prompts

Module 2 Locked

Core Prompt Patterns for Coding

Master core prompt patterns for coding tasks. Learn code generation, refactoring, debugging, architecture design, API design, file system design, component generation, and multi-prompt chaining patterns.

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Learning objectives

Master code generation pattern
Learn refactor pattern for improving existing code
Understand debugging pattern for finding and fixing bugs
Apply architecture design pattern
Generate API designs using prompts
Create file system design prompts
Generate component prompts (React, Vue, Next.js)
Create backend service prompts (Django, Flask, Node.js, FastAPI)
Implement multi-prompt chaining for large features

Module 3 Locked

Vibe Coding – Natural Language to Production Code

Learn "Vibe Coding" - converting ideas to working code without writing boilerplate. Master conversational refactoring, natural-language scaffolding, and turning design mockups into code.

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Learning objectives

Understand what "Vibe Coding" is
Convert ideas → working code without writing boilerplate
Master conversational refactoring
Use natural-language scaffolding for Django views, serializers, models
Build React components using natural language
Generate SQL queries based on rules
Turn design mockups into code

Module 4 Locked

Prompting for Backend Development

Speed up backend development 4× using structured prompt templates. Learn REST API generation, CRUD automation, ORM model generation, database schema prompts, migrations, business logic, API documentation, and performance optimization.

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Learning objectives

Generate REST APIs using prompts
Automate CRUD boilerplate creation
Generate ORM models (Django / SQLAlchemy / Prisma)
Create database schema prompts
Write migrations with AI
Write business logic with domain constraints
Generate API documentation
Optimize backend performance using prompting

Module 5 Locked

Prompting for Frontend Development

Produce clean frontend components with proper props, states, and logic. Learn React/Next.js component generation, state management scaffolding, styling prompts, UI debugging, Figma to code conversion, reusable components, and accessibility.

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Learning objectives

Generate React / Next.js components using prompts
Scaffold state management
Use styling prompts (Tailwind, CSS Modules, Styled Components)
Debug UI rendering issues via prompts
Convert Figma designs to code
Implement reusable UI components via prompting
Create accessibility prompts

Module 6 Locked

AI-Assisted System Design for Full-Stack Developers

Use LLMs as a senior architect to plan systems rapidly. Learn to generate architecture diagrams, design microservices, create data flow diagrams, choose design patterns, generate scalable app boilerplate, and use multi-agent prompting.

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Learning objectives

Generate architecture diagrams using prompts
Design microservices through prompting
Create data flow + sequence diagrams
Choose correct design patterns
Generate boilerplate for scalable apps
Use multi-agent prompting for large systems (AI as architect + reviewer + tester)

Module 7 Locked

Prompting for Debugging & Optimization

Solve bugs 2–5× faster with step-by-step debugging prompts. Learn debugging patterns, error-log prompting, security audits, performance optimization, refactoring entire codebases, and advanced "fix-this-file" instructions.

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Learning objectives

Master debugging pattern: "Find the bug → explain → propose fix → rewrite file"
Use error-log prompting
Perform security audit prompting (OWASP)
Optimize performance using prompts
Refactor entire codebases using structured prompting
Apply "Fix-this-file" advanced instructions

Module 8 Locked

Full-Stack Workflow Automations Using Prompting

Automate 40–60% of "boring tasks" using prompts. Learn to generate test cases, auto-generate documentation, create API collections, write Git commit messages, generate CI/CD pipelines, and create deployment scripts.

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Learning objectives

Generate test cases (backend + frontend)
Auto-generate documentation
Auto-generate API collections (Postman / Thunderclient)
Write Git commit messages using prompts
Write CI/CD YAML pipelines using prompts
Generate deployment scripts (AWS / Docker / NGINX)

Module 9 Locked

Building LLM-Powered Full-Stack Apps

Integrate LLMs into real enterprise apps safely. Learn prompt engineering for RAG applications, API calling, tool invocation, LangChain/LlamaIndex integration, structured outputs, AI agents, and handling model hallucination in production.

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Learning objectives

Engineer prompts for RAG applications
Use API calling & tool invocation prompts
Integrate LangChain / LlamaIndex with Django, Node.js
Create structured outputs using JSON schema prompts
Build AI agents inside full-stack apps
Handle model hallucination in production

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