FAST-E: Full Stack AI & Smart Technologies for Energy Systems

Energy Data Analytics & AI

FAST-E

Full Stack AI & Smart Technologies for Energy Systems

A one-year certificate program in Energy Data Analytics & AI. Live online sessions, self-paced practice and hands-on immersion at IIT Hyderabad.

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Program Partner

IIT Hyderabad Professional Certificate Energy Data & AI Smart Grid Lab Live Online + Immersion Net Zero Campus Honours / Distinction Pushing Frontiers in Energy IIT Hyderabad Professional Certificate Energy Data & AI Smart Grid Lab Live Online + Immersion Net Zero Campus Honours / Distinction Pushing Frontiers in Energy

Why FAST-E

Energy + AI, built for the real grid

A practice-first program that turns engineering students and early professionals into data analysts for energy systems, working with real feeder, campus and asset data from day one.

Analyst from Day One

Work hands-on with real feeder, campus and asset datasets in Python notebooks, interpreting power and energy directly from data.

AI for Energy

Build forecasting and analytics pipelines for load and solar, evaluate them with operational metrics, and turn outputs into decisions.

IITH Campus Immersion

A hands-on workshop on the IIT Hyderabad campus in every module, with faculty, labs and peers.

Industry Guest Lectures

Each module features online guest sessions from energy-sector experts, connecting the curriculum to industry practice.

Portfolio-First

Every module ends in a documented mini-project: notebooks, data models and briefs that become a real, shareable portfolio.

IIT Hyderabad Certificate

Earn a professional certificate from IIT Hyderabad, with Honours / Distinction for top performers.

The One-Year Program

Two modules, 120 hours, one portfolio

Module 1 · Open Now

Energy Data Foundations & Digital Workflows

22 Aug 2026 9 Jan 2027

Become productive as an energy data analyst from day one. Work with real feeder, campus and asset datasets in notebooks, design simple CSV/JSON data models, and engineer features like peaks and load factors, culminating in an asset-aware feeder mini-project.

60 HRS · energy allocation4 modes

Live online 20 Self-paced 20 IITH immersion 10 Project 10

Capstone: asset-aware feeder mini-project + portfolio entry

Module 2 · Open Now

Applied Energy Analytics & Reporting

6 Feb 2027 26 Jun 2027

Move from data to decisions. Build baseline and regression forecasting pipelines for load and solar, evaluate them with intuitive error metrics, factor in weather and calendar context, and turn analyses into clear briefs, culminating in a “Forecasts for Decisions” project.

60 HRS · energy allocation4 modes

Live online 20 Self-paced 20 IITH immersion 10 Project 10

Capstone: “Forecasts for Decisions” mini-project + briefing pack

Campus Immersion at IIT Hyderabad

Learn online & build on the IIT Hyderabad campus

10 hours of every 60-hour module are a full-day immersion at IIT Hyderabad, building alongside faculty, labs and peers, shaping your module mini-project.

Team-based sessions on real datasets, each day extendable to Sunday.
Scheduled between semesters, so you get full access to the IITH campus and labs.
Accommodation & on-ground logistics coordinated by the IIT Hyderabad project team.
* Additional campus immersion fee will be applicable.

IIT Hyderabad campus — academic block and monument

Syllabus at a Glance

What you'll learn

Two modules across the year (out of eight modules across 4 years), taught on Saturdays online, with one on-campus immersion each. Here’s the shape of the journey; the full session-by-session plan is shared with admitted students.

Module 1 · Aug 2026 – Jan 2027

Energy Data Foundations & Digital Workflows

Get productive as an energy data analyst, working with real feeder, campus and asset data in Python notebooks.

Reading energy data: feeder & campus load curves, kW, kWh and power factor.
Assets & nameplates: transformers, motors and appliances as data.
Data modeling: CSV vs JSON schemas and measurement logs.
Feature engineering: peak demand, energy, load factor and profiles.
Communicating insight: decision-ready plots, tables and one-page briefs.

Capstone: an asset-aware feeder mini-project + portfolio entry.

Module 2 · Feb 2027 – Jun 2027

Applied Energy Analytics & Reporting

Move from data to decisions, building forecasting pipelines and turning them into clear, actionable briefs.

Forecasting foundations: trends, seasonality and baseline analytics.
Baselines & evaluation: naive forecasts, MAE and MAPE.
Context-aware models: weather & calendar effects and simple regression.
Scenarios & decisions: tariff and scheduling what-ifs.
Reporting: decision-ready charts and one-page forecast briefs.

Capstone: a “Forecasts for Decisions” mini-project + briefing pack.

Your Toolkit

Tools you'll master

An accessible, industry-standard data stack, learned in an energy-specific context, with fundamentals refreshed just in time.

Python

Jupyter Notebooks

pandas

NumPy

Matplotlib / Plotting

scikit-learn (Regression)

GitHub

$LaTeX logo$ LaTeX

Overleaf

Google Apps Script

JSON

APIs

Real-World Signals

Energy data you'll handle

From smart meters to substations, weather to markets — you'll work hands-on with the data that actually runs the grid.

Smart meter data Load profiles Electricity consumption Demand data Voltage & current measurements Power quality data Transformer monitoring Feeder & substation data Outage & fault records Weather data Solar irradiance Wind data Renewable generation Battery storage data EV charging data Electricity market prices Billing data Industrial energy data IoT sensor data Asset health data Energy efficiency data Grid reliability data Demand forecasting data DER & microgrid data

The Bigger Picture

A full-stack energy-engineering roadmap

FAST-E is designed as a multi-year journey of eight modules. Admissions today are for the one-year certificate (Modules 1 & 2); further modules roll out year on year.

M1Open Now

Energy Data Foundations & Digital Workflows

Real feeder/campus datasets, notebooks, data models and feature engineering.

M2Open Now

Applied Energy Analytics & Reporting

Forecasting pipelines, error metrics, weather/calendar context and decision-ready briefs.

M3Roadmap

Sensing, Instrumentation & Edge Data Acquisition

Microcontrollers (Arduino/ESP32), sampling and acquisition, building a documented energy monitoring node.

M4Roadmap

Smart Grid Control, Power Interfaces & Data

Inverters, converters, EV chargers and controllable loads, reasoning about control from operational data.

M5Roadmap

AI & Machine Learning for Energy Time-Series

Regression, classification and anomaly detection on energy data with clear, explainable models.

M6Roadmap

Digital Twins, Optimization & Smart Grid Applications

Lightweight digital twins and simple optimization for storage dispatch, EV charging and demand response.

M7Roadmap

Cloud, APIs & Operational Smart Grid Platforms

Public energy APIs and cloud datasets, building read-only services and dashboards around real data.

M8Roadmap

Capstone: End-to-End Intelligent Energy System

Integrate sensing, data, AI and control into one documented system, with industry mentorship.

Faculty & Mentors

Taught by IIT Hyderabad faculty

Led by faculty from IIT Hyderabad, with online guest lectures from energy-industry experts.

Dr. Pradeep Kumar Yemula

Program Lead

Professor, IIT Hyderabad. Faculty-in-Charge of the Technology Transfer Office & Net Zero Campus, and the Smart Grid Lab. Has worked on energy data analytics since his PhD.

Smart Grid LabNet-Zero Campus

Dr. Rupesh Wandhare

Co-Lead

Professor, IIT Hyderabad. Joins as Co-PI to co-deliver the program and support continuity across modules.

Co-PI

Industry Guest Lectures

Every Module

Online guest sessions from experts across the energy sector, connecting the curriculum to live industry practice — added as the program progresses.

Energy sectorOnline

Your Credential

An IIT Hyderabad Professional Certificate

Finish both modules and earn a professional certificate from IIT Hyderabad — with an Honours / Distinction notation for top performers.

Sample

Indian Institute of Technology Hyderabad · Continuing Education

Certificate of Completion

This is to certify that

Smrithi Das

has successfully completed

Module 2 · Applied Energy Analytics

FAST-E — Full Stack AI & Smart Technologies for Energy Systems

CoordinatorProgramme Coordinator

Head, CCEHead · Continuing Education

Certificate No. IITH / CCE / FAST-E / M2 · 2026

Built for the next generation of AI talent in the energy space

FAST-E is designed for B.Tech students who want to become data analysts for energy systems. You'll work hands-on with real energy data from day one and build a portfolio module by module.

All fundamentals refreshed just-in-time.

Good to Know

Frequently asked questions

01What exactly am I enrolling in?

A one-year professional certificate program in Energy Data Analytics & AI, offered by IIT Hyderabad. It comprises two modules: Energy Data Foundations (Module 1) and Applied Energy Analytics (Module 2).

02How is the program delivered?

Mostly online: live online sessions on Saturdays (11:00–13:00 IST) plus self-paced work, with one full-day, on-campus immersion per module at IIT Hyderabad. Each module is 60 hours: 20 live online, 20 self-paced, 10 immersion and 10 project work.

03What certificate do I receive?

A professional certificate from IIT Hyderabad on successful completion. High-scoring learners may receive an Honours / Distinction notation on the certificate.

04What are the fees?

₹40,000per module

₹80,000full one-year program (M1 & M2)

₹8,000campus immersion · per visit × 2

All fees attract 18% GST. All-inclusive total for the full program: ₹1,19,180 — ₹80,000 (program) + ₹16,000 (campus immersion × 2) + ₹5,000 (registration), incl. 18% GST.

IIT Hyderabad Professional Certificate · Honours / Distinction for top performers

05Do I need programming or energy engineering background?

No. Basic programming comfort helps, and essential fundamentals are refreshed just in time within the curriculum, so motivated learners from adjacent backgrounds can keep up.

06Will there be more modules after the first year?

The program is envisioned as an eight-module, multi-year roadmap. Admissions today are for the one-year certificate only; further modules are planned to be offered year on year.

Pushing Frontiers · Starting 22 Aug 2026

Be among the first to harness energy data with IIT Hyderabad

Earn an IIT Hyderabad Professional Certificate in Energy Data Analytics & AI. Seats for the first batch are limited.

Apply Now Explore the Syllabus