AI5 PROFESSIONAL CERTIFICATE · BY TGC INDIA · UPDATED AUGUST 2026
Python for AI
Learn the Python skills required for data, machine learning and AI application work.
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 the Python, NumPy, Pandas and Jupyter skills needed for later data, machine-learning and AI application work.
Each module combines a live trainer demonstration, guided lab, assignment and review before the next stage.
CONNECTED CAREER DIRECTIONS
Python Data AssociateJunior AI ProgrammerData Preparation AnalystFoundation route to AI roles
IS THIS COURSE RIGHT FOR YOU?
Choose it for the right reason.
You are beginning AI or data study
You need Python before machine learning
You want guided coding practice rather than theory alone
YOUR LEARNING ARC
From guided foundation to finished work.
Code
Learn Python logic, functions and debugging.
Handle
Work with files and structured data.
Prepare
Use NumPy and Pandas for clean datasets.
Apply
Collect, visualise and prepare data for modelling.
INDUSTRY TASKS
Practise the work, not only the tool.
- Build a file-processing program
- Clean a real dataset with Pandas
- Create an API-led data analysis 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
Write clear Python programs
A notebook set covering logic, functions and debugging.
02
Work with files and APIs
A validated program handling CSV, JSON and external data.
03
Prepare data with NumPy and Pandas
A clean dataset and documented transformation pipeline.
04
Enter AI courses with working foundations
A capstone combining data collection, analysis and model preparation.
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 the Python, NumPy, Pandas and Jupyter skills required for data, machine learning and AI application courses.
Python logic and programming foundation
Learn to read, write and explain small programs with correct control flow.
CORE TOPICS
- Variables, data types and operators
- Conditions, loops and functions
- Errors, debugging and code reading
- Modules, environments and Jupyter
GUIDED PRACTICE
Build and explain a set of small programs covering core Python logic.
MODULE DELIVERABLE
Python foundation notebook
Data structures and file handling
Work confidently with the formats used in analytics and AI projects.
CORE TOPICS
- Lists, tuples, sets and dictionaries
- Strings and text processing
- CSV, JSON and file operations
- Exceptions and input validation
GUIDED PRACTICE
Create a program that reads, cleans and summarises structured files.
MODULE DELIVERABLE
Python data-processing application
NumPy and numerical work
Use arrays and vector operations for efficient data computation.
CORE TOPICS
- Arrays, shapes and data types
- Indexing, slicing and broadcasting
- Vectorised calculations
- Statistics and random sampling
GUIDED PRACTICE
Complete a numerical analysis project without relying on slow manual loops.
MODULE DELIVERABLE
NumPy computation project
Pandas and data preparation
Clean and transform real datasets for analysis and model work.
CORE TOPICS
- Series, DataFrames and selection
- Missing values and duplicates
- Group, merge and reshape operations
- Dates, categories and feature preparation
GUIDED PRACTICE
Prepare a messy dataset and document every cleaning decision.
MODULE DELIVERABLE
Pandas data-cleaning portfolio
APIs, visualisation and AI readiness
Combine data, charts and external information into a final Python project.
CORE TOPICS
- HTTP requests and API data
- Matplotlib and visual analysis
- Functions and reusable pipelines
- Introduction to scikit-learn workflow
GUIDED PRACTICE
Build a data application that collects, cleans, visualises and prepares information for modelling.
MODULE DELIVERABLE
Python for 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.
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
PythonNumPyPandasJupyter
Tool coverage may be updated when the industry changes. Core methods remain part of the course.COMMON QUESTIONS
Before you apply
Can a complete beginner join?
Yes. The course starts with Python logic and assumes no previous programming.
＋Does it include machine learning?
It introduces the scikit-learn workflow near the end; full model training belongs in later courses.
＋Will I build projects?
Yes. Every module includes coding practice and a defined deliverable.
＋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.