Get Started with Complete Prompt Engineering & AI Vibe Coding Course (AI-Assisted Development Master Program)

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Complete Prompt Engineering & AI Vibe Coding Course (AI-Assisted Development Master Program)

AI-Assisted Development Master Program covering Foundations of AI Coding, Prompt Strategies for Coding, AI-Powered Development Workflow, Advanced AI Coding Techniques, Real Project Building with AI, Safe & Responsible AI Coding, and Professional AI Coding Mastery.

  • 3 Months Duration
  • 20 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

Introduction to AI-Assisted Coding

What is prompt engineering and vibe coding, how LLMs generate code, strengths and limitations, human+AI collaboration, when not to trust AI.

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Learning objectives
  • Define prompt engineering and vibe coding
  • Understand how LLMs generate code
  • Know strengths, limitations, and when not to trust AI
  • Apply human+AI collaboration model
Module 2 Locked

Understanding Large Language Models

Tokens and context windows, temperature and sampling, system prompts, instruction following, hallucination, model limitations.

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Learning objectives
  • Understand tokens and context windows
  • Use temperature and sampling effectively
  • Apply system prompts and instruction following
  • Recognize hallucination and model limitations
Module 3 Locked

Prompt Engineering Fundamentals

Clear instruction writing, role-based and constraint-based prompting, output formatting, step-by-step prompting, iterative refinement.

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Learning objectives
  • Write clear instructions
  • Use role-based and constraint-based prompting
  • Control output formatting
  • Apply step-by-step and iterative refinement
Module 4 Locked

Structured Prompt Patterns

Zero-shot, few-shot, chain of thought, self-consistency, tree of thought, reflection prompting.

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Learning objectives
  • Apply zero-shot and few-shot prompting
  • Use chain of thought, self-consistency, tree of thought
  • Apply reflection prompting
Module 5 Locked

Code Generation Prompts

Generating functions and full applications, clean code, documentation, tests, comments.

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Learning objectives
  • Generate functions and full applications
  • Prompt for clean code, documentation, tests, comments
Module 6 Locked

Debugging with AI

Explaining errors, step-by-step debug prompts, root cause analysis, refactoring, performance optimization, code review prompts.

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Learning objectives
  • Use AI to explain errors and debug step-by-step
  • Apply root cause analysis and refactoring prompts
  • Optimize performance and use code review prompts
Module 7 Locked

Building Applications with AI

Breaking requirements into prompts, backend/frontend/database generation, API design, authentication setup.

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Learning objectives
  • Break requirements into prompts
  • Generate backend, frontend, database schema
  • Design APIs and set up authentication with AI
Module 8 Locked

AI for System Design

Architecture diagrams, scalable systems, microservices design, system planning, deployment strategy prompts.

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Learning objectives
  • Generate architecture diagrams and design scalable systems
  • Use AI for microservices and system planning
  • Apply deployment strategy prompts
Module 9 Locked

AI in Software Lifecycle

PRDs, test cases, CI/CD scripts, Docker files, documentation.

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Learning objectives
  • Write PRDs and generate test cases with AI
  • Generate CI/CD scripts and Docker files
  • Use AI for documentation
Module 10 Locked

AI Pair Programming

Live code refinement, incremental building, versioning prompts, prompt templates, coding speed optimization.

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Learning objectives
  • Refine code live and build incrementally with AI
  • Version prompts and use templates
  • Optimize coding speed
Module 11 Locked

Prompt Chaining

Multi-step prompt workflows, breaking large tasks, memory-based prompts, reusable prompt libraries.

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Learning objectives
  • Build multi-step prompt workflows
  • Break large tasks and use memory-based prompts
  • Maintain reusable prompt libraries
Module 12 Locked

AI Agents for Development

Tool calling, function calling, automated code fixers, multi-agent development, auto testing agents.

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Learning objectives
  • Use tool and function calling
  • Apply automated code fixers and multi-agent development
  • Use auto testing agents
Module 13 Locked

Full Stack Web App with AI

Project planning, backend API, frontend UI, database integration, deployment.

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Learning objectives
  • Plan and build full stack web app with AI
  • Generate backend API, frontend UI, integrate database
  • Deploy with AI assistance
Module 14 Locked

AI SaaS App Development

Idea validation, feature planning, subscription system, logging and monitoring.

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Learning objectives
  • Validate ideas and plan features with AI
  • Build subscription system
  • Apply logging and monitoring
Module 15 Locked

Automation Projects

Web scrapers, data analysis scripts, workflow automation, AI bots.

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Learning objectives
  • Build web scrapers and data analysis scripts with AI
  • Implement workflow automation and AI bots
Module 16 Locked

Security in AI Coding

Detecting vulnerabilities, secure code prompts, preventing injection attacks, code review for security.

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Learning objectives
  • Detect vulnerabilities with AI
  • Use secure code prompts and prevent injection attacks
  • Apply code review for security
Module 17 Locked

Responsible AI Use

Avoiding over-reliance, verifying AI code, licensing and legal awareness, ethical AI development.

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Learning objectives
  • Avoid over-reliance and verify AI code
  • Understand licensing and legal aspects
  • Practice ethical AI development
Module 18 Locked

AI Productivity Framework

Personal prompt library, prompt templates, reusable AI workflows, rapid prototyping strategy.

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Learning objectives
  • Build personal prompt library and templates
  • Create reusable AI workflows
  • Apply rapid prototyping strategy
Module 19 Locked

AI for Interview Preparation

Solving DSA with AI, mock interview simulation, system design practice, code review practice.

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Learning objectives
  • Use AI for DSA and mock interviews
  • Practice system design and code review with AI
Module 20 Locked

Becoming a 10x AI Developer

Thinking in prompts, AI as thought partner, architecture-level prompting, scaling development speed.

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Learning objectives
  • Think in prompts and use AI as thought partner
  • Apply architecture-level prompting
  • Scale development speed
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