Edureka
8 weeks to complete at 5 hours a week
Build Software Faster with AI Coding Tools. Master GitHub Copilot, Cursor, Claude Code, and full-stack AI platforms to ship apps with AI.
Basic programming knowledge recommended. Understanding code structure helps review AI-generated output.
This specialization covers the following topics across 4 courses: Course 1: Vibe Coding with GitHub Copilot - Explain core principles of Vibe Coding and AI-assisted software development workflows - Apply structured prompt and context engineering techniques to generate reliable code - Evaluate AI-generated code for quality, security, and maintainability standards - Design an end-to-end AI-assisted development workflow for real-world applications Course 2: Vibe Coding with Cursor and Antigravity - Apply Cursor features such as chat, inline generation, and multi-file Composer workflows to build and manage code efficiently - Use structured prompts in Antigravity to generate, customize, and refine UI components for real-world applications - Develop context-aware workflows to coordinate code and UI development across multiple files and features - Build and optimize end-to-end applications by combining AI-assisted coding and UI generation with human validation and refinement Course 3: Building Full-Stack Applications with Vibe Coding - Define AI-powered development concepts, including prompt-driven workflows, full-stack architecture, and application lifecycle - Apply Bolt.new, Replit, and Lovable to build, debug, and deploy full-stack applications using AI-assisted workflows - Analyze and refine prompts, workflows, and AI-generated outputs to improve application quality, logic, and performance - Design and evaluate scalable full-stack applications with UI, backend, database, and authentication using AI tools Course 4: Claude Code for Vibe Coding - Explain the fundamentals of terminal-based AI agents and how they enable autonomous software development workflows - Apply structured instruction design to delegate coding tasks and build features using Claude Code - Demonstrate how to integrate external tools, APIs, and data sources using Model Context Protocol (MCP) - Implement testing, validation, and deployment practices to ensure reliable and production-ready AI-assisted systems
Edureka is an online education platform focused on delivering high-quality learning to working professionals. We have the highest course completion rate in the industry and we strive to create an online ecosystem for our global learners to equip themselves with industry-relevant skills in today's cutting edge technologies.
This specialization is designed for a diverse audience: Software Developers, Full-Stack Engineers, Product Builders and Entrepreneurs, DevOps Engineers integrating AI into deployment and testing pipelines through AI-first approaches. By the end of this specialization, you will be able to master prompt engineering and context engineering for reliable AI code generation, use GitHub Copilot, Cursor, and Antigravity for AI-assisted code editing and UI generation, build full-stack applications with Bolt.new, Replit Agent, and Lovable using natural language, and deploy production applications with Claude Code, MCP integration, and CI/CD pipelines.
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