AI5 PROFESSIONAL CERTIFICATE · BY TGC INDIA · UPDATED AUGUST 2026
Business Forecasting with AI
Create demand, sales and operations forecasts and explain results clearly.
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.
Create sales, demand and operations forecasts using Excel, Python and Power BI with checked assumptions and error measures.
Each module combines a live trainer demonstration, guided lab, assignment and review before the next stage.
CONNECTED CAREER DIRECTIONS
Forecasting AnalystDemand Planning AssociateBusiness Planning AnalystOperations Analytics Executive
IS THIS COURSE RIGHT FOR YOU?
Choose it for the right reason.
You plan sales, stock or operations
You need forecasts with explainable assumptions
You want Excel, Python and dashboard practice
YOUR LEARNING ARC
From guided foundation to finished work.
Prepare
Define the target, horizon and usable history.
Baseline
Model trend and seasonality with simple methods.
Compare
Test statistical and machine-learning forecasts.
Decide
Create scenarios, dashboards and accuracy reviews.
INDUSTRY TASKS
Practise the work, not only the tool.
- Build a sales forecast baseline
- Compare Python forecasting models
- Create a scenario-led management dashboard
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
Prepare time-series data
A checked dataset with horizon, target and test period.
02
Build and compare forecasts
Baseline, statistical and machine-learning model results.
03
Connect forecasts to decisions
A scenario dashboard with action thresholds.
04
Monitor forecast accuracy
A capstone with error review and reforecast procedure.
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 and explain sales, demand and operations forecasts using Excel, Python and Power BI with clear assumptions and error checks.
Forecast question and data readiness
Define what must be predicted, for whom and at what time level.
CORE TOPICS
- Forecast target, horizon and business action
- Historical data and external drivers
- Missing values, outliers and structural breaks
- Train and test periods
GUIDED PRACTICE
Audit a time-series dataset and prepare a forecast requirement brief.
MODULE DELIVERABLE
Forecast data and requirement report
Baseline and time-series patterns
Build simple forecasts that provide a fair comparison for later models.
CORE TOPICS
- Trend, seasonality and cycles
- Moving averages and naive baselines
- Exponential smoothing
- Time-series visualisation and decomposition
GUIDED PRACTICE
Create and compare baseline forecasts for a sales or demand dataset.
MODULE DELIVERABLE
Baseline forecasting workbook
Python forecasting models
Train and compare statistical and machine-learning approaches.
CORE TOPICS
- ARIMA-family concepts
- Feature-based forecasting
- Cross-validation for time series
- MAE, RMSE and business error costs
GUIDED PRACTICE
Build several models and select one based on both metrics and operating needs.
MODULE DELIVERABLE
Python forecasting model report
Scenarios and decision dashboards
Connect predictions with management choices and uncertainty.
CORE TOPICS
- Prediction intervals and uncertainty
- Best, base and downside scenarios
- Capacity, stock and budget decisions
- Power BI forecast reporting
GUIDED PRACTICE
Create an interactive forecast dashboard with scenarios and action thresholds.
MODULE DELIVERABLE
Forecast decision dashboard
Monitoring and forecasting capstone
Track forecast accuracy and update the model when conditions change.
CORE TOPICS
- Forecast-versus-actual review
- Bias and exception analysis
- Refresh and reforecast cycle
- Presentation and model limitations
GUIDED PRACTICE
Present a complete forecast, decision plan and ongoing accuracy process.
MODULE DELIVERABLE
Business forecasting 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
PythonExcelPower BIForecasting models
Tool coverage may be updated when the industry changes. Core methods remain part of the course.COMMON QUESTIONS
Before you apply
Is advanced mathematics required?
No. The required statistics are taught through practical forecasting examples.
＋Can I work only in Excel?
Core baseline work uses Excel; Python is introduced for wider model comparison.
＋How is forecast accuracy measured?
Learners use error measures, forecast-versus-actual review and business cost of errors.
＋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.