AI5 PROFESSIONAL CERTIFICATE · BY TGC INDIA · UPDATED AUGUST 2026
AI App Development with APIs
Create applications that use language, image and audio model APIs.
Online + OfflineWeekdays + WeekendsRegular + Fast Track
22+years in training
20,000+learners across TGC
5classroom locations
Live onlinejoin from anywhere
NEXT START OPTIONS
Choose a live batch.
COURSE OVERVIEW
What this course
is built to do.
Build full-stack applications that use language, image and audio model APIs with structured output, secure credentials and testing.
Each module combines a live trainer demonstration, guided lab, assignment and review before the next stage.
CONNECTED CAREER DIRECTIONS
AI Application DeveloperAI API EngineerFull-Stack AI DeveloperApplied AI Engineer
IS THIS COURSE RIGHT FOR YOU?
Choose it for the right reason.
You can write basic Python or JavaScript
You want to build with model APIs
You need a deployed AI application for your portfolio
YOUR LEARNING ARC
From guided foundation to finished work.
Call
Use model endpoints, credentials and request controls.
Structure
Build validated language and media features.
Integrate
Connect frontend, backend and stored data.
Ship
Evaluate, secure and deploy the application.
INDUSTRY TASKS
Practise the work, not only the tool.
- Build a structured text-extraction tool
- Create an image or audio feature
- Deploy a full-stack AI application
PRO
LED
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.
WHAT YOU WILL BE ABLE TO DO
Course outcomes
01
Integrate model APIs safely
A working service with protected credentials and error handling.
02
Build structured AI features
A validated language or extraction application.
03
Create multimodal applications
A tested image, audio or mixed-media feature.
04
Deploy a full-stack AI product
A live capstone with evaluation, security and cost records.
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
Build applications that use language, image and audio model APIs with structured output, secure credentials, testing and deployment.
AI API and application foundations
Plan the user flow, model task and data boundaries before writing integration code.
CORE TOPICS
- REST requests, responses and model endpoints
- Application architecture and user stories
- Model choice, limits and operating cost
- Environment variables and credential safety
GUIDED PRACTICE
Call a model API from Python and record request, response, cost and failure cases.
MODULE DELIVERABLE
AI API foundation application
Language-model application patterns
Build reliable text features using schemas and multi-step processing.
CORE TOPICS
- Prompt templates and system rules
- Structured output and JSON validation
- Streaming, context and conversation state
- Extraction, classification and drafting patterns
GUIDED PRACTICE
Create an application feature that returns validated structured information.
MODULE DELIVERABLE
Structured language application
Image, audio and multimodal APIs
Work with media inputs and outputs while handling files, quality and user consent.
CORE TOPICS
- Image generation and editing requests
- Speech-to-text and text-to-speech
- Multimodal analysis and file handling
- Storage, formats and content checks
GUIDED PRACTICE
Build a media feature combining image, audio or multimodal model calls.
MODULE DELIVERABLE
Multimodal API project
Full-stack integration and data
Connect AI services to a usable web interface and persistent application records.
CORE TOPICS
- Python API service and React interface
- PostgreSQL records and job status
- Authentication and usage limits
- Background work, retries and error messages
GUIDED PRACTICE
Build a complete user flow from interface input to stored model output.
MODULE DELIVERABLE
Full-stack AI application
Evaluation, security and deployment
Test model quality and application behaviour before public release.
CORE TOPICS
- Task test sets and acceptance scores
- Prompt attacks, file and input validation
- Logging, rate limits and cost monitoring
- Deployment, documentation and incident fallback
GUIDED PRACTICE
Deploy and present an AI application with tests, security controls and operating notes.
MODULE DELIVERABLE
Deployed AI API 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.
Concept briefing
The trainer explains the principle, use case, limitations and the quality standard expected.
Live demonstration
A complete task is demonstrated while the trainer explains decisions, checks and common mistakes.
Guided lab
Learners repeat the method with support, ask questions and correct problems during the session.
Applied assignment
The same method is used on a different brief so the learner must make independent decisions.
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
Guided practice brief
Plan, produce, test and present a finished piece with trainer feedback.
Individual application
Plan, produce, test and present a finished piece with trainer feedback.
Workflow build
Plan, produce, test and present a finished piece with trainer feedback.
Industry-style assignment
Plan, produce, test and present a finished piece with trainer feedback.
Quality review
Plan, produce, test and present a finished piece with trainer feedback.
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
OpenAI APIPythonReactPostgreSQL
Tool coverage may be updated when the industry changes. Core methods remain part of the course.COMMON QUESTIONS
Before you apply
Which APIs are taught?
Labs use current language, image and audio model APIs according to account access and project fit.
＋Is frontend development included?
A guided interface is included, but learners should already know basic web development.
＋How are API costs controlled?
Model selection, limits, logging, caching and usage monitoring are covered.
＋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.
＋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.