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Course Highlights

  • Builds strong foundations in Web Development - from HTML/CSS/JS to modern React, APIs, and scalable frontend architecture
  • Equips learners to design responsive, high-performing applications like teams at Airbnb, Notion, and Swiggy
  • Integrates Gen AI and LLM workflows into web applications for building intelligent interfaces and AI-first product experiences
  • Provides real engineering exposure in API integration, UI systems, authentication, deployment pipelines, and scalable frontend patterns
  • Includes hands-on projects, guided evaluations, and deployment-ready builds that help learners stand out in interview pipelines
  • Eligible for Government of India incentives

  • Skill Type

  • Course Duration

  • Domain

  • GOI Incentive applicable

  • Course Category

  • Nasscom Assessment

  • Placement Assistance

  • Certificate Earned

  • Badge Earned

  • Content Alignment Type

  • NOS Details

  • Mode of Delivery

Course Details

Learning Objectives

What will you learn in the Advanced Certification in Web Development & Gen AI Engineering Course?

  • Build responsive and dynamic web applications using HTML, CSS, JavaScript, and React
  • Implement real-world features like API requests, authentication, routing, conditional UIs, and live data handling
  • Design scalable frontend systems using state management, reusable UI patterns, and performance optimisation
  • Build full-stack, AI-powered applications integrating Gen AI features such as text generation, summaries, search agents, and conversational components
  • Deploy applications using Docker, backend APIs, cloud hosting, and CI/CD pipelines thereby achieving engineering-grade deployment confidence
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Reasons to enrol

Why should you take the Advanced Certification in Web Development & Gen AI Engineering Course?

  • Frontend engineers today are expected to integrate AI experiences directly into products and this course prepares you for that future
  • Companies now prefer developers who understand UI performance, scalability, and clean architectural design, not just basic React
  • Gen AI-powered interfaces are becoming standard in SaaS, IT, fintech, healthcare, and productivity tools
  • You will graduate with a portfolio of working applications, including AI-driven projects, increasing differentiability in interviews
  • Build skills that align with modern job expectations in frontend systems, integration, automation, and intelligent workflows
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Ideal Participants

Who should take the Advanced Certification in Web Development & Gen AI Engineering Course?

  • Undergraduate and postgraduate students pursuing Web Development, UI Engineering, or Software Engineering roles
  • Early-career developers who want to advance into frontend-focussed tech roles
  • Working professionals switching from non-technical or testing roles into development
  • Designers or product members who want hands-on knowledge of modern UI development and AI-based interfaces
  • Anyone wanting to build deployed web apps that integrate LLM features and intelligent automation
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Curriculum

Curriculum

The Advanced Certification in Web Development & Gen AI Engineering course delivers a structured three-track curriculum in Frontend Engineering, Scalable React Systems, and Applied Gen AI Engineering. It helps in building practical skills through guided assignments, interactive exercises, and hands-on industry projects.

Core Track: Frontend Foundations

  • HTML, CSS & UI Layouts
    Flexible layouts, styling systems, media responsiveness, mobile-first design practices
  • JavaScript Fundamentals
    DOM manipulation, event handling, logical structures, reusable UI behaviour patterns
  • React Foundations
     React components, props/state, conditional rendering, component lifecycle understanding
  • Client-side Routing & Interactions
    Navigation flows, route-level rendering, nested routes, dynamic UI states
  • API-Based UI Development
    Fetch-based integration, error states, loading flows, external data-driven UIs
  • Reusable UI Structures
    Modular components, layout patterns, accessibility-driven UI construction

Advanced Track: Scalable React Systems

  • State Architecture & Redux
    Redux toolkit flows, async dispatching, slice-based state modeling
  • Design Systems & UI Libraries
    Reusable component systems, design tokens, style inheritance, consistency models
  • Performance Profiling & Optimisation
    Re-renders, memorisation, batching, network handling, rendering efficiency
  • Debugging & Error Management
    Browser debugging tools, error boundaries, real-time error tracing
  • Engineering Patterns & API Orchestration
    Pagination control, optimistic updates, complex state workflows
  • Interview-oriented Engineering Skills
    DSA essentials, UI-based coding challenges, structured debugging problems

Specialisation Track: Applied Gen AI Engineering

  • Foundations of LLM Integration
    Embedding generation, prompt structures, inference pipelines, model evaluation concepts
  • Applied Prompt Engineering
    Template-driven prompting for summarization, rewriting, structuring, and questioning
  • AI-enabled UI Applications
    Search assistants, recommendation widgets, knowledge retrieval interfaces
  • Full-Stack Gen AI Implementations
    FastAPI services, vector search integration, AI-driven backend orchestration
  • Systems-level Architecture
    Authentication flows, DB design, caching and session management
  • Deployment & Monitoring
    Dockerization, CI/CD pipelines, logging systems, scalable deployment workflows
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skills and tools

Tools you will learn in the Advanced Certification in Web Development & Gen AI Engineering Course

  • Frontend Engineering Stack – HTML, CSS, JavaScript, React, Redux
  • UI Styling Systems – Tailwind, Material UI, Styled Components
  • Backend & Integration Tools – FastAPI, Node.js basics, REST APIs
  • Databases & Storage – PostgreSQL, MongoDB, Firebase
  • Gen AI & LLM Frameworks – OpenAI APIs, LangChain, Embeddings
  • Deployment & DevOps Tools – GitHub, Docker, Vercel/Render CI-CD pipelines

Skills You Will Develop

  • Building responsive, interactive UI applications with clean frontend architecture
  • Designing scalable React systems including state management, routing, and reusable components
  • Integrating APIs, authentication layers, and dynamic data rendering
  • Developing full-stack applications powered by AI features such as summarisation, assistance, recommendations, and conversational interfaces
  • Implementing LangChain workflows for AI features inside software systems
  • Deploying production-ready web applications using cloud platforms and containerized setups
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