AI5 PROFESSIONAL CERTIFICATE · BY TGC INDIA · UPDATED AUGUST 2026

No-Code AI App Builder

Create useful AI web apps and internal tools without a traditional coding background.

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Online + OfflineWeekdays + WeekendsRegular + Fast Track
The build stack99

Intent becomes structure, working code and a real product.

PLANCODESHIP
Duration8 weeks
Learning modeClassroom + Live Online
ScheduleWeekdays + Weekends
TrackRegular + Fast Track*
Entry levelBeginner
Projects6 substantial practical builds
22+years in training
20,000+learners across TGC
5classroom locations
Live onlinejoin from anywhere

NEXT START OPTIONS

Choose a live batch.

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COURSE OVERVIEW

What this course
is built to do.

Create useful AI web apps and internal tools through visual building, structured data, model features and connected automation.

Each module combines a live trainer demonstration, guided lab, assignment and review before the next stage.

WHO SHOULD JOINEntrepreneursOperations professionalsProduct and marketing teamsNon-technical app builders
PREREQUISITE

Basic computer and spreadsheet use. Coding is not required.

CONNECTED CAREER DIRECTIONS

No-Code AI BuilderAutomation Product AssociateInternal Tools BuilderAI Solutions Coordinator

IS THIS COURSE RIGHT FOR YOU?

Choose it for the right reason.

01

You have an app idea but no coding background

02

You need an internal tool or customer-facing prototype

03

You want data, AI and automation in one build

YOUR LEARNING ARC

From guided foundation to finished work.

01

Brief

Define users, problem, features and acceptance checks.

02

Build

Create screens, forms and a data model.

03

Connect

Add AI functions, webhooks and automation.

04

Publish

Test user flows and launch the application.

INDUSTRY TASKS

Practise the work, not only the tool.

  1. Build an AI document or content tool
  2. Create a lead or operations application
  3. Publish a tested customer-facing prototype
PRO
LED

YOUR TRAINING TEAM

Learn from experienced working professionals.

Live demonstrations, guided practice and direct project feedback are part of the course. Trainers update examples and tool coverage as professional practice changes.

Meet our trainers ↗

WHAT YOU WILL BE ABLE TO DO

Course outcomes

01

Turn an idea into a buildable product

A focused brief with users, features and acceptance checks.

02

Build an interface and data model

A responsive app connected to structured records.

03

Add controlled AI and automation

A model feature and connected workflow with validation.

04

Test and publish an AI app

A live capstone with user tests and operating notes.

TAKE THE NEXT STEP

Need fees, syllabus or the right batch?

An AI5 Academy advisor can help you compare mode, schedule and starting level.

DETAILED COURSE FLOW

5 learning modules

Create useful AI web apps and internal tools without a traditional coding background, from product brief through data, automation and launch.

MODULE 01

Problem selection and product brief

Choose a narrow problem and define what the app must do for a clear user.

CORE TOPICS
  • User, problem and current method
  • Core action and minimum feature set
  • Input, output and acceptance rules
  • Risk, data and cost boundaries
GUIDED PRACTICE

Turn a broad app idea into a testable one-page product brief.

MODULE DELIVERABLE

No-code AI product brief

MODULE 02

Interface and data foundation

Build screens and a clean data structure before adding model features.

CORE TOPICS
  • Pages, forms and navigation
  • Responsive layout and accessibility
  • Tables, fields and relationships
  • Validation, empty states and permissions
GUIDED PRACTICE

Create a working interface connected to structured records.

MODULE DELIVERABLE

Functional app and data model

MODULE 03

AI features and prompt logic

Add model functions that produce structured, useful and reviewable output.

CORE TOPICS
  • Model selection and API concepts
  • Prompt templates and user context
  • Structured output and validation
  • Knowledge sources and response limits
GUIDED PRACTICE

Add an AI feature such as classification, drafting, search or summarisation.

MODULE DELIVERABLE

Working AI application feature

MODULE 04

Automation and external connections

Connect the app with email, spreadsheets, forms and business tools.

CORE TOPICS
  • Triggers, actions and webhooks
  • Make, Zapier or built-in automation
  • Notifications and approval steps
  • Failure alerts and manual fallback
GUIDED PRACTICE

Create an end-to-end workflow that turns app input into a recorded business action.

MODULE DELIVERABLE

Connected no-code workflow

MODULE 05

Testing, launch and final app

Check user flows, data, output quality and operating cost before release.

CORE TOPICS
  • User testing and acceptance cases
  • Privacy, access and model safety
  • Usage, latency and cost checks
  • Publishing, documentation and iteration plan
GUIDED PRACTICE

Launch and present an AI app with tested flows and operating guidance.

MODULE DELIVERABLE

Published no-code AI capstone

HOW THE TRAINING WORKS

Learn it. Apply it. Get it reviewed. Improve it.

Every important skill moves through explanation, demonstration, guided use and independent application. Trainer feedback is used to revise the work before it becomes part of the final portfolio.

01

Concept briefing

The trainer explains the principle, use case, limitations and the quality standard expected.

02

Live demonstration

A complete task is demonstrated while the trainer explains decisions, checks and common mistakes.

03

Guided lab

Learners repeat the method with support, ask questions and correct problems during the session.

04

Applied assignment

The same method is used on a different brief so the learner must make independent decisions.

05

Review and revision

Work is checked against a rubric, revised after feedback and prepared for project presentation.

PROGRESS IS CHECKED THROUGHClass exercisesModule deliverablesProject reviewsFinal capstone presentation

PORTFOLIO WORK

Projects you can show

01

Guided practice brief

Plan, produce, test and present a finished piece with trainer feedback.

02

Individual application

Plan, produce, test and present a finished piece with trainer feedback.

03

Workflow build

Plan, produce, test and present a finished piece with trainer feedback.

04

Industry-style assignment

Plan, produce, test and present a finished piece with trainer feedback.

05

Quality review

Plan, produce, test and present a finished piece with trainer feedback.

06

Final capstone

Plan, produce, test and present a finished piece with trainer feedback.

TAKE THE NEXT STEP

Need fees, syllabus or the right batch?

An AI5 Academy advisor can help you compare mode, schedule and starting level.

TOOLS COVERED

ReplitBase44AirtableOpenAI
Tool coverage may be updated when the industry changes. Core methods remain part of the course.

COMMON QUESTIONS

Before you apply

Is coding required?

No. The main course uses visual app builders and guided connections.

Which platforms are used?

Current no-code app and database tools are selected according to the project and available plans.

Can I launch the app publicly?

Yes. Publishing, access, testing and operating cost are covered before launch.

Do I need coding experience?

No, unless the course level says otherwise. Your advisor will check the right starting level.

Are classes live or recorded?

Classes are trainer-led in the classroom or live online. Recordings may support revision but do not replace class.

Will I receive a certificate?

Yes. Course completion requires attendance, assignments and the final project.

Can working professionals join?

Yes. Weekday, weekend and selected fast-track schedules are available.

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NEXT BATCH

Choose your course.
Choose your schedule.

Online or offline. Weekdays or weekends. Regular or fast track. Speak with an AI5 Academy advisor about the right starting level.

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