AI5 PROFESSIONAL CERTIFICATE · BY TGC INDIA · UPDATED AUGUST 2026
Data Science with Generative AI
Learn statistics, Python, machine learning, dashboards and generative AI for data 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.
Study analytics, machine learning and generative AI as one connected data career program with graded projects.
Each module combines a live trainer demonstration, guided lab, assignment and review before the next stage.
CONNECTED CAREER DIRECTIONS
Data ScientistAI Data AnalystMachine Learning AssociateGenerative AI Data Specialist
IS THIS COURSE RIGHT FOR YOU?
Choose it for the right reason.
You want a long-form data career program
You need analytics, ML and generative AI together
You want graded projects from foundation to capstone
YOUR LEARNING ARC
From guided foundation to finished work.
Foundation
Python, statistics, SQL and data preparation.
Analytics
Visual analysis, dashboards and business reporting.
Models
Machine learning, deep learning and evaluation.
Applied AI
Generative AI, deployment and final capstone.
INDUSTRY TASKS
Practise the work, not only the tool.
- Build an executive data dashboard
- Train and explain a predictive model
- Create a generative AI data 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
Analyse data with Python and SQL
Checked notebooks, queries and data-quality documentation.
02
Build dashboards and predictive models
A decision dashboard and evaluated ML project.
03
Create generative AI data applications
A structured, source-aware assistant or analysis feature.
04
Present an end-to-end data solution
A deployed capstone with technical and business explanation.
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 a complete data career foundation across Python, SQL, analytics, machine learning and generative AI applications.
Python, statistics and data preparation
Develop the foundation for working with structured data and explaining what it contains.
CORE TOPICS
- Python programming for data work
- NumPy, Pandas and data cleaning
- Statistics, probability and sampling
- Exploration, visualisation and data quality
GUIDED PRACTICE
Prepare an imperfect dataset and present a checked exploratory analysis.
MODULE DELIVERABLE
Data preparation and EDA portfolio project
SQL, analytics and business intelligence
Answer business questions with queries, measures and clear dashboards.
CORE TOPICS
- SQL filtering, joins, grouping and windows
- Excel and Power Query workflows
- Power BI modelling and DAX
- Dashboard design and management reporting
GUIDED PRACTICE
Build a management dashboard from raw transactional data and explain the actions it supports.
MODULE DELIVERABLE
SQL analysis and executive dashboard
Machine learning and predictive modelling
Move from descriptive analysis to tested prediction and classification systems.
CORE TOPICS
- Feature engineering and model pipelines
- Regression, classification and clustering
- Model metrics, validation and error analysis
- Explainability, bias and responsible use
GUIDED PRACTICE
Train competing models, diagnose errors and present a justified selection.
MODULE DELIVERABLE
Predictive model and evaluation report
Deep learning and generative AI for data
Understand neural networks and build language-model features around data and documents.
CORE TOPICS
- Neural network foundations
- Text, image and sequence applications
- LLM APIs and structured output
- Retrieval, data assistants and natural-language analysis
GUIDED PRACTICE
Create a grounded data or document assistant that returns structured, source-aware results.
MODULE DELIVERABLE
Generative AI data application
Deployment, portfolio and career capstone
Package technical work into an application and a case study that employers can assess.
CORE TOPICS
- APIs, Streamlit and application delivery
- Version control and project documentation
- Monitoring, privacy and production limits
- Portfolio, interview and case presentation
GUIDED PRACTICE
Deliver an end-to-end capstone from problem and data to deployed solution and business presentation.
MODULE DELIVERABLE
Deployed data science capstone and portfolio
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
PythonSQLPower BITensorFlow
Tool coverage may be updated when the industry changes. Core methods remain part of the course.COMMON QUESTIONS
Before you apply
Can beginners join?
Yes. The program begins with Python, mathematics and data foundations.
＋How is this different from a short analytics course?
It adds machine learning, deep learning, generative AI and a larger graded project sequence.
＋Does the program include placement preparation?
Career support covers portfolio presentation, interviews and role preparation; outcomes depend on learner performance and market conditions.
＋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.