AI-FIRST FULL-STACK DEVELOPMENT

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About The Course

AI-First Full-Stack (MERN) Development blends traditional MERN fundamentals with cutting-edge AI practices. You’ll still master HTML/CSS/JavaScript, React, Express, Node.js and MongoDB, but with a twist: AI acts as your pair-programmer. You’ll learn to write clear prompts and specifications so tools like GitHub Copilot, Cursor or Claude can generate and refine your code. The course covers the full lifecycle of modern development: from writing adaptive frontends and robust backends to deploying AI-enhanced apps on cloud platforms (AWS/GCP, Docker, Kubernetes) with CI/CD pipelines and observability (Prometheus, Grafana). We also cover AI ethics and how to optimize your products for AI-driven search (AEO/GEO optimization).

What You’ll Achieve

  • Industry-Ready Skills: Build full-stack apps and AI features (chatbots, RAG systems, automations) – skills that top employers want.
  • Portfolio & Certification: Complete 3 capstone projects (see below) to showcase your abilities. Earn an Excendra certificate to highlight on LinkedIn/resume.
  • AI Workflow Mastery: Learn prompt engineering, LLMOps with LangChain/Hugging Face, GitHub Actions CI/CD, and AI-driven DevOps to boost your productivity and code quality.
  • Job & Internship Support: Gain real-world coding experience in a 1-month internship on live projects. We provide mentorship from AI/ML industry experts, resume guidance, and interview prep. With 1500+ alumni trained and many placed at top tech firms, our network opens doors.

Who Is This For?

  • Early to mid-career developers, graduates, or career-switchers who want to level up quickly.
  • Anyone who is familiar with JavaScript and wants to integrate AI into real projects.
  • Students eager to join emerging tech roles (AI integration specialist, prompt engineer, LLMOps, etc.).
  • Learners seeking hands-on mentorship and a strong portfolio to launch their career.

Lessons of the Course

MODULE 1: FOUNDATIONS & AI BASICS
 
Core Concepts
  • Deepen your JavaScript, HTML, CSS, and Git skills
  • Learn to use AI assistants like Copilot and Cursor to accelerate development
  • Understand AI fundamentals and ethical considerations in software development
MODULE 2: FRONTEND (REACT) + AI-UI
 
Modern Frontend Development with AI Integration
  • Build dynamic user interfaces with React using JSX, hooks, and routing
  • Integrate AI-powered frontend features such as chatbot widgets and smart form helpers
  • Learn AEO/GEO awareness by designing interfaces optimized for AI-powered search experiences
MODULE 3: BACKEND (NODE/EXPRESS/MONGO) + LLM INTEGRATION
 
Backend Development & LLM Integration
  • Develop RESTful APIs using Express and MongoDB
  • Use prompt engineering and LangChain to integrate LLMs (OpenAI/GPT, Hugging Face Transformers) for chatbots, summarization, and RAG
  • Practice LLMOps basics including fine-tuning, handling hallucinations, and model versioning
MODULE 4: DEVOPS, CLOUD & DEPLOYMENT

 

DevOps, Deployment & Production Readiness
  • Containerize applications using Docker
  • Set up CI/CD pipelines with GitHub Actions
  • Deploy and scale applications on cloud platforms (AWS/GCP)
  • Learn observability with Prometheus and Grafana
  • Understand secure, compliant releases with a production-quality mindset
Capstone Projects (3) – Real-World AI Applications
  • Plan and build three full-stack projects with integrated AI components
  • Examples:
    • Conversational Web App: AI-powered user query responses
    • E-commerce/Mobile AI App: Product recommendations or intelligent search
    • Data Dashboard: Analytics platform with AI assistant for insights
  • Each project progresses from idea to deployment as a job-ready portfolio piece
Mentorship & Support
  • Live sessions and Q&A with AI/ML specialists and full-stack engineers
  • Personalized code reviews and project design guidance
  • Resume and LinkedIn workshops with mock interviews
  • Access to an active student community and Slack channel
TOOLS & LIBRARIES SUMMARY
 
Tools & Libraries Summary
CategoryPrimary Tools & Libraries
IDE / WorkflowsCursor (IDE), v0.dev, GitHub Copilot
FrontendReact, Next.js, Tailwind CSS, Shadcn/UI
BackendNode.js, Express, FastAPI (for Python AI scripts)
IntelligenceLangChain, Vercel AI SDK, OpenAI/Claude APIs
DatabasesMongoDB (NoSQL), Pinecone (Vector), Redis (Cache)
Ops & MonitoringVercel, Docker, LangSmith, GitHub Actions

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Instructor

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Fred Adams

Senior Software & Enterprise Architect

This course includes:

₹2999

₹6000