The 4-Week Full Stack Development with AI Course is an intensive hands-on training program designed to teach students how to build and deploy modern full-stack web applications using AI-powered development workflows. The course covers frontend development, backend integration, databases, authentication, admin panels, serverless functions, deployment, testing, monitoring, and AI integration using tools like Cursor AI, Supabase, Vercel, GitHub, Docker, OpenAI, and Next.js.
<Created by Mr: Nikhil Kandhare · Last updated May 2026
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By the end of this course, students will be able to:
Understand modern cloud deployment workflows
Basic Requirements
Students should have:
Interest in coding and web
The 4-Week Full Stack Development with AI Course is a modern industry-focused training program that teaches students how to build complete real-world web applications using the latest AI-assisted software development workflows. This course is designed for beginners, developers, engineering students, startup builders, freelancers, and technology enthusiasts who want to rapidly develop full-stack applications with modern tools and AI-powered coding assistants.
The course begins with frontend development fundamentals where students build responsive portfolio websites, interactive user interfaces, forms, and deploy live websites using Vercel and GitHub integration. Students learn how AI tools like Cursor AI, ChatGPT, and v0.dev can accelerate development by generating production-ready UI components, scripts, and application structures.
In the second phase, students learn backend development and database integration using Supabase, PostgreSQL, APIs, realtime subscriptions, authentication systems, comments, likes, and dynamic content management. The course focuses heavily on low-code and AI-assisted backend development to reduce complexity while maintaining scalability and professional architecture.
The third phase introduces advanced application development concepts including authentication systems, admin dashboards, CRUD operations, serverless APIs, cloud storage, email automation, environment management, deployment pipelines, and production-ready infrastructure. Students also learn how to integrate AI features into applications using OpenAI or Gemini APIs.
The final stage of the course focuses on building complete production-ready full-stack applications such as:
Students learn deployment workflows using Railway and Vercel, environment variable management, testing using Playwright, monitoring systems, logging tools, Docker environments, and production debugging techniques.
The course strongly emphasizes practical implementation, AI-assisted development workflows, rapid prototyping, deployment automation, real-world project architecture, and scalable application development. By the end of the course, students will have built complete deployable full-stack projects and learned how to use AI tools efficiently for professional software development.
This training prepares students for modern careers in:
The instructor is still setting up the course curriculum. Check back soon!
Expert Instructor · Computer and IT Courses
Mr: Nikhil Kandhare is an experienced instructor with deep expertise in Computer and IT Courses. With a focus on practical, real-world learning, the teaching approach ensures students gain skills they can apply immediately in their careers or projects. Committed to helping every student succeed regardless of their background or experience level.
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