WEB DEVELOPMENT & AI APPLICATIONS

EDUCORA CAREER PROGRAM

AI-Powered Full Stack Development

Build responsive web applications, secure APIs and database-backed features, then integrate and evaluate AI capabilities.

3 months training + 3 months internship

Practical technical trainingActual company internshipProjects & portfolioAI-assisted workflows
TOOLS & TECHNOLOGIESReactNode.jsExpressPostgreSQLTypeScriptAI APIs

BUILD PRACTICAL SKILLS

Build modern web applications with AI features.

This career program introduces learners to the complete web application lifecycle: understanding requirements, designing responsive interfaces, developing secure APIs, managing databases, integrating AI capabilities, testing and deploying software. The emphasis is on maintainable code and demonstrable application-building ability.

The curriculum prioritizes JavaScript, TypeScript foundations, React, Node.js, Express, PostgreSQL, authentication, Git, testing, deployment and responsible use of generative AI services. It provides introductory exposure to Next.js and retrieval-augmented generation (RAG), not advanced mastery of every framework.

A CLEAR LEARNING PATH

More than a list of topics

Develop practical skills, demonstrate your work and apply your learning during a company internship.

01

Learn the foundations

Follow a structured technical curriculum with progressive practical tasks.

02

Build and demonstrate

Develop projects, document your work and present your learning.

03

Work with AI responsibly

Use AI assistance while checking accuracy, privacy and limitations.

04

Apply your skills

Complete an actual three-month company internship after training.

FIND YOUR STARTING POINT

Who can join this program?

Review the audience and prerequisites to see how the program fits your background.

01

Final-year students and recent graduates: BCA, B.Sc. IT/CS, BE/B.Tech, MCA and related disciplines.

02

Freshers aspiring to frontend, backend, full stack or junior AI application development roles.

03

Motivated graduates from other backgrounds prepared to learn programming fundamentals intensively.

04

Early-career learners who want a structured portfolio of deployed applications.

Prerequisites and equipment
  • Basic computer operation, file management and web browsing.
  • Logical thinking and comfort with basic mathematics; no prior professional coding experience is required.
  • Commitment to regular coding practice, debugging and weekly submissions.
  • A laptop with at least 8 GB RAM (16 GB preferable), stable internet and permission to install developer tools.
  • Ability to read English-language documentation and collaborate on assignments.

FROM LEARNING TO APPLICATION

Your learning journey

STEP 01

Web & React

Build the foundations.

STEP 02

Node.js & PostgreSQL

Practise with real tasks.

STEP 03

AI integration

Demonstrate your work.

STEP 04

Company internship

Apply your learning in a company.

THE COMPLETE SYLLABUS

A structured curriculum

Three months of technical training with a progressive learning sequence, practical exercises and project reviews.

Expand each section to see the topics and practical outcome. Introductory tool coverage is identified within the syllabus.

Ask About This Program
Week 1 — Web Foundations & Developer Workflow

How the web works; HTML5 semantics; forms; accessibility; CSS layout, Flexbox and Grid; responsive design; VS Code; terminal; Git and GitHub; introductory AI coding assistance and verification.

Practice outcome: Build and version-control a responsive multi-page site.

Week 2 — Modern JavaScript Foundations

Variables, functions, arrays, objects, modules, DOM, events, fetch, promises, async/await, browser storage, error handling and debugging.

Practice outcome: Deliver an interactive browser application using a public API.

Week 3 — React & TypeScript Basics

Components, JSX, props, state, hooks, forms, client-side routing, reusable UI; TypeScript types, interfaces and typed props.

Practice outcome: Build a responsive React dashboard with forms and API data.

Week 4 — React Application Engineering

State management basics, data-fetching patterns, loading/error states, form validation, accessibility, testing fundamentals, component design and Next.js overview.

Practice outcome: Deliver a tested frontend application and code review.

Week 5 — Node.js, Express & REST APIs

Node.js runtime, Express routes, middleware, request validation, REST design, status codes, API error handling, logging and API testing with Postman.

Practice outcome: Build documented CRUD APIs.

Week 6 — SQL, PostgreSQL & Backend Integration

Relational data modeling, PostgreSQL queries, joins, constraints, migrations, ORM introduction, database access, environment configuration and secret management.

Practice outcome: Connect a backend API to a relational database.

Week 7 — Authentication & Full Stack Integration

Password hashing, sessions vs tokens, auth flows, authorization, basic OWASP awareness, protected routes, frontend/backend integration and secure error messages.

Practice outcome: Complete a role-aware application with login and dashboard.

Week 8 — Testing, Deployment & Dev Workflow

Unit and integration testing introduction, browser testing basics, Git branching, code review, CI concepts, Docker basics, cloud deployment, monitoring and production configuration.

Practice outcome: Deploy a full stack application with a working test checklist.

Week 9 — Python for AI Features & API Integration

Python fundamentals, virtual environments, requests, FastAPI introduction, calling external APIs, structured outputs, exception handling and integrating a Python microservice where appropriate.

Practice outcome: Connect an AI-compatible service to the application.

Week 10 — Generative AI Application Engineering

LLM APIs, prompting, structured output, model limitations, cost control, privacy, rate limits, streaming responses, prompt injection awareness and user-facing AI interactions.

Practice outcome: Implement a guarded AI assistant feature with test cases.

Week 11 — Retrieval, Evaluation & Automation

Embeddings and vector search concepts; document ingestion and chunking; introductory RAG; citations, retrieval evaluation, feedback collection, AI-assisted testing and workflow automation.

Practice outcome: Build a small document Q&A proof of concept with source references.

Week 12 — Integrated Capstone & Internship Readiness

End-to-end app planning, UI, API, PostgreSQL, authentication, optional AI feature, functional/security checks, cloud deployment, documentation, demo presentation and technical interview preparation.

Practice outcome: Demonstrate one working deployed capstone with README and GitHub repository.

MAKE YOUR LEARNING VISIBLE

Projects and portfolio

Turn the syllabus into practical work you can explain, demonstrate and discuss in interviews.

PRACTICAL 1

Responsive React dashboard

Build accessible components, forms and API-driven views.

PRACTICAL 2

Documented REST API

Create validated CRUD endpoints with Node.js and Express.

PRACTICAL 3

Authenticated full stack app

Connect React, PostgreSQL, authentication and role rules.

CAPSTONE

AI-integrated capstone

Deploy an application with tests, documentation and an AI feature.

Skills you will practise
  • Turn product requirements into responsive, accessible web interfaces.
  • Write modern JavaScript/TypeScript and build reusable React components.
  • Develop, document and test Node.js/Express APIs.
  • Model and query PostgreSQL data; implement authentication and authorization basics.
  • Connect frontends, APIs and databases into deployed applications.
  • Integrate AI APIs safely, validate outputs and explain introductory RAG workflows.
  • Use Git/GitHub, debugging, testing and code-review practices; document and present a working portfolio.

AFTER COMPLETING TRAINING

An actual 3-month company internship

Apply your technical learning through supervised company work. The internship follows the three-month training phase.

01

Month 4: Frontend & Backend Delivery

Refine requirements; build UI components; implement and document APIs; participate in Git/code reviews.

Work evidence: User stories, pull requests, tested components and API documentation

02

Month 5: Full Stack Features

Integrate database, authentication and role rules; debug issues; add a carefully scoped AI feature.

Work evidence: Integrated feature, tests, change log and mentor review

03

Month 6: Release & Handover

Complete bug fixes, usability checks, deployment, monitoring basics and end-user demonstration.

Work evidence: Deployed application, README, test evidence and final mentor evaluation

Internship documentation reflects the actual period and activities completed. Enquire about company arrangements, work mode, timings and any applicable stipend.

PREPARE FOR YOUR NEXT STEP

Career opportunities

Build skills to apply for entry-level opportunities aligned with this program.

Junior Full Stack Developer / Full Stack Developer TraineeJunior Frontend Developer / React Developer TraineeJunior Backend Developer / Node.js TraineeWeb Application Developer TraineeJunior JavaScript DeveloperSoftware Engineer TraineeAI Application Developer Intern / Trainee (entry-level integrations)

Career opportunities depend on skills, available openings and employer selection. Employment is not guaranteed.

PRESENT YOUR WORK WITH CONFIDENCE

Career preparation

01

Project presentation

Explain your approach, demonstrate your work and discuss technical choices.

02

Portfolio documentation

Organise project files, reports or repositories to show what you have built.

03

Interview readiness

Practise technical discussions and interview exercises included in the program.

Assessment includes practical assignments, project demonstrations and feedback. Training completion and internship participation are documented separately.

YOUR QUESTIONS, ANSWERED

Frequently asked questions

What is the program duration?

Six months: three months of training followed by three months of internship.

Is this an actual company internship?

Yes. Educora offers an actual three-month company internship after completion of training.

Do I need prior experience?

Basic computer operation, file management and web browsing. Logical thinking and comfort with basic mathematics; no prior professional coding experience is required.

What are the fees and batch timings?

Please contact Educora for current fees, upcoming batches, delivery mode and class timings.

Is the internship paid?

Please enquire about any applicable stipend and the specific internship arrangements.

Is a job guaranteed?

No. The program includes career preparation; employment depends on vacancies, skills and employer selection.

LET’S DISCUSS YOUR GOALS

Choose your next step with Educora.

Ask about eligibility, the syllabus, fees, upcoming batches and the company internship.

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