IIT Roorkee AI Engineering & AIOps

Program

How it started

About IIT

Directors

Where the Real Hiring Is Happening

India’s Only Certification Covering the Full AI Engineering Lifecycle

Master 15+ Real-World Tools, Frameworks & AI Workflows

Learn from IIT Faculty & CXOs Behind Scalable AI Systems

High-Growth Job Paths in AI Engineering

Scale Enterprise AI on Cloud

GenAI Lit the Spark: But It Couldn’t Sustain the Fire

By 2024, every team had their GenAI moment: chatbots, copy tools, HR prompts.
But 90% of pilots never reached production.(Gartner, 2025). Because isolated team AI can’t scale... only orchestrated systems can.

The Root Problem? Teams Were Building in Isolation

A marketing model can’t talk to HR. A chatbot can’t update fraud systems.

‍

Disconnected tools. No system integration. Without orchestration, even the best model breaks.

30% of GenAI projects were abandoned post-demo. (TechRepublic)

Enterprise AI Took Over: and It’s Winning

Companies are now building Enterprise Agentic AI Systems... cross-functional, autonomous, updated.

‍

Amazon’s supply chain restocks warehouses autonomously.Mastercard’s AI blocks 90% of fraud in milliseconds.Flipkart self-heals its infra during festive crashes. Infact,Agentic workflows deliver 30% higher ROI (McKinsey)

India’s Big Bet: Cloud + GPU + Agentic Infrastructure

The IndiaAI Mission now runs 34,333 GPUs nationwide. Indigenous GPU manufacturing begins by 2029. Datacenters like CtrlS and Yotta offer on-demand AI compute at ₹67/hour

Cloud-Native AI Is Now the Default

90% of new AI workloads run on AWS, GCP, or Azure.

‍

Why? Why?

₹200 Cr to buy.(1000 GPUs), ₹5L/hour to rent.

Elastic, scalable, cost-effective

(IMARC, 2025)

Legacy Enterprises Need Full-Cycle AI Engineering

India’s real AI race ≠ startups

‍

It’s in legacy enterprises + GCCs

60% of Indian banks still run on 1990s systems (RBI, 2025)

Why?

Fragmented data + hardcoded logic + outdated infra

It’s time to convert prototypes into pipelines

Today, AI ≠ Just Model Building
→ It’s Build + Deploy + Scale + Maintain

Apply Now

This Is Where the Real AI Hiring Begins

Legacy enterprises and GCCs are actively hiring engineers who can build elastic, cloud-native AI pipelines...
Not just models, but systems that scale, adapt, and perform in production.

From Coder to System Thinker... This Is the Program

About IIT Roorkee

IIT Roorkee is one of India’s most prestigious and oldest technical institutions, with a legacy spanning over 175 years. Ranked #8 overall and #6 in engineering in NIRF 2024, it also holds the #1 spot in architecture and is globally recognized, ranking around 900 in QS World University Rankings and 800 in US News Global Rankings. The institute has earned top honors such as the ENCORE Awards for student excellence, Prime Minister Research Fellowships, and the David Miller Young Scientist Scholarship. Accredited with an 'A++' grade by NAAC and recognized as an Institute of National Importance, IIT Roorkee is renowned for its pioneering research in AI, robotics, and sustainable engineering. With state-of-the-art labs, global collaborations, robust startup incubation, and a strong alumni network, it stands out as a premier hub for deep tech innovation and technological leadership in India.

About Director

Prof. Kamal Kishore Pant is the Director of IIT Roorkee, appointed in October 2022. A distinguished chemical engineer, he holds BTech, MTech, and PhD degrees from IIT Kanpur and HBTU Kanpur. Previously, he served as Dean and Head of Chemical Engineering at IIT Delhi. Prof. Pant is renowned for his research in hydrogen generation, CO₂ capture, e-waste management, and catalysis, with over 220 publications, 11,700+ citations, and several patents. He has led major projects worth over ₹100 crore and received honors such as the Gandhian Young Technological Innovation Award and CHEMCON Distinguished Speaker Award. Under his leadership, IIT Roorkee continues to excel as a center for deep tech research and innovation

Program Director

Prof. Neetesh Kumar is an Associate Professor at IIT Roorkee and one of India’s leading voices in applied AI, cloud systems, and intelligent infrastructure. With multiple patents, global research citations, and editorial leadership at IEEE’s top AI journal, his work bridges the gap between academic depth and industry impact.With 180+ citations on intelligent traffic systems, multiple patents, and a position on the editorial board of IEEE’s top-ranked journals, he knows exactly where AI is headed: cloud-native, production-grade, real-world systems.That’s why this program isn’t academic theory, it’s a hands-on blueprint for the AI engineer India needs next. From deep research in parallel computing to running projects funded by DST, SERB, and CSIR, Prof. Neetesh brings the best of research, industry, and teaching into one classroom.He’s here not to teach code, but to train system thinkers who can lead India’s AI future.

What This Program Packs In

Everything You Need to Run Enterprise AI Systems…Start to Scale.

Apply Now

Full AI Engineering Lifecycle

India's Only Certification Covering the Full AI Engineering Lifecycle

Industry-Led Design

Advanced AI Technologies

Master GenAI, LLMs, MLOps, and Agentic AI Systems

Cloud-Native Focus

Built for Cloud-Native AI Deployment at Scale

Project-Based Learning

End-to-End Project-Based Learning with Real Enterprise Use Cases

Expert Faculty

132 Hours of Live Learning - 50% by Top IIT Faculty, 50% by Leading Industry Experts

Flexible Learning

Live Online Classes | Flexible Schedule | Ideal for Working Professionals

Campus Experience

Optional 3-Day Campus Immersion at IIT Roorkee

Designed by CXOs & Leaders at Top AI-First Companies

Module 1: Foundations of AI ML and Generative AI
Understanding Supervised Machine Learning, Unsupervised Machine Learning and Reinforcement Learning
Data Manipulation for Machine Learning
Exploratory Data Analysis for Machine Learning
Essential Mathematics for Machine Learning and AIDefinition of Generative AI
Generative AI Applications
Definition of LLMs
Module 2: Deep dive into Machine Learning Algorithms
Regression Supervised Machine Learning
Linear Regression
Decision Tree Regressor
Random Forest Regressor
Overfitting, Underfitting and Regularization
‍
Classification Supervised Machine Learning
Logistic Regression
Decision Tree Classifier
Random Forest Classifier
‍
Unsupervised Machine Learning
KMeans Clustering
Hierarchical Clustering
Dimensionality Reduction
Anomaly detection
‍
MLOps for Machine Learning model deployment
Module 3: Understanding Deep Learning
Exploring Deep Learning
Understanding Neural Networks with TensorFlow
Deep dive into Neural Networks with TensorFlow
Artificial Neural Networks (ANN)
Convolutional Neural Networks (CNN)
Object detection using YOLO framework
Transfer Learning in CNN
Recurrent Neural Networks (RNN) and LSTMs
Module 4: Exploring NLP
Architechtures of RNN - One to One, Many to Many, Many to One etc
Understanding Text for NLP
Tokenization, Stemming and Lemmatization, Stopwords and Keywords in NLP
Text Vectorization using TF-IDF, Bag of Words and Word 2 Vec
Use cases across domains in NLP
Module 5: Engaging with Generative AI
How Generative AI works
Text generation
Image generation
Audio generation and video generation
Using Hugging face to access models for text generation, image generation
GANs
Types of GANs - ProGAN, SRGan, CycleGAN
Auto Encoders, Variational Auto Encoders (VAEs), Diffusion Models
Module 6: Understanding LLMs
Definition of LLMs
LLM Use Cases
Prompt TuningAttention Mechanism
Transformer Model and architecture
Encoder-Decoder arrangements
Train and Generate text using Encoder-decoder Architecture
BERT for Transfer learning
Leveraging multiple pretrained LLMs from Hugging Face
Fine tuning LLMs
Module 7: GenAI Application Development Prompting Techniques
Introduction to Prompt Engineering
Successful and Unsuccessful prompts
Types of Prompting
Introduction to Open AI, GPT , Open AI Playground
Cost & latency considerations when calling APIs (OpenAI, Azure, AWS).
Multimodal prompting for GPT 4
Image generation using Open AI DALLE 3
Prompt evaluation
Implementing Agents and Chains
Implementing zero-shot-react, conversational-react agents with LangChain
Open AI Function (Tool Integration)
Testing various LLMs with Prompt Engineering
Module 8: Synthetic Data and Datasets for LLMs
Introduction to Synthetic Data
Generating Synthetic Data
Synthetic Data for LLMs
Real-world Applications and Use Cases
Hands-on generating and using Synthetic Data
Module 9: AI Embeddings & Retrieval
Understanding AI Embeddings
Advanced Retrieval TechniquesHugging Face Embeddings
Vector Databases in AI
CRUD operations with Vector Databases
RAG - Retreival Augmented Generation
RAG solutions using Open AI models and Hugging face models
Ethical Considerations in AI Embeddings
Navigating AI Hallucinations, Drift, and BiasEmbeddings in Real-world Applications
Embeddings Optimization and Fine-tuning
Embeddings Security and Privacy
LLM Ops and model deployment best practices
Module 10: Understanding Agentic AI
Agents, Agentic AI and Multi-Agent Systems
Agent Definition & Autonomy
Simple vs. Knowledge-Based Agents
Reflex vs. Goal-Driven AgentsMicrosoft AutoGen
Agent Architecture (Perception, Decision, Action)
Integrating Knowledge Bases (RAG, Domain Data)
Measuring Performance (Success Rate, Resource Usage)
Hierarchical Agent Planning
Multi-Step Reasoning with LLM
Memory & Long-Term Context
Integrating Retrieval Augmentation in Agent Workflows
Domain-Specific Knowledge & Dynamic Prompting
Module 11: Exploring Cloud Ecosystems
Cloud Ecosystems
Introduction to Cloud Ecosystem
Definitions
Cloud characteristics
Deployment models
Leading Service providers (AWS, Google, Azure, etc.)
Comparing AWS, Azure, and GCP core services for compute, storage, and
AI/ML.
Data Centres and their components
Service (SaaS, IaaS, PaaS)
Issues & Challenges
Module 12: Advancement in Hypervisors
Understanding hypervisors
Reference model
Virtualisation characteristics
Principles of hypervisor design
Interfaces
Types of hypervisors (type-1 and type-2)
Differences between Type-1 and Type-2 hypervisors.
Design methods of hypervisors (full virtualization, para virtualization, and hardware-assisted virtualization)
Memory Virtualisation
I/O virtualisation
OS virtualization
Comparative Analysis of hypervisors
Understanding performance, requirements, and bottleneck
Module 13: Container Orchestration
Understanding LLM Deployment Architectures
Containerizing LLM Inference Services (e.g., using FastAPI + Docker)
Managing GPU Workloads in Kubernetes
Scaling LLM APIs with Kubernetes and Istio
Optimizing Latency and Throughput for LLM Containers
Secure Access and Rate Limiting for AI APIs
CI/CD for LLM-Powered Microservices
Monitoring and Logging for LLM Containers
Model Versioning and Rollbacks
Cost Optimization Strategies for LLM Inference in Production
Module 14: Cloud Security & Resilience
Infrastructure security: Network-level security
Host-level security Application-level security
Data security and storage: Data privacy and security issues
Jurisdictional issues raised by data location
Identity and access management
Access control
IAM, Key Management Services, and zero-trust architecture
Trust, reputation, risk
Authentication in cloud computing
Client access in the cloud
Cloud contracting model
Commercial and business considerations
Module 15: Understanding Cloud in context of Gen AI and LLMs
EC2 Deep Dive and AMIs
EBS vs S3 vs EFS – Storage Solutions
Load Balancing and Auto Scaling Basics
Intro to Serverless: AWS Lambda
Using AWS Bedrock for GenAI (including foundation models)
Deploying Open-Source LLMs on EC2/EKS
Fine-Tuning and Inference Pipelines on Cloud
Cost & Performance Considerations for LLM Workloads
SageMaker Pipelines for Model Training and Inference
Model Versioning, A/B Testing, and Rollbacks
Security and Compliance for GenAI in Production
Total
Total Duration - 132 Hours
Hours trained by IIT - 66 Hours
Hours trained by Futurense - 66 Hours

Before the Job Offer, the Job Experience

Al-Powered Meeting Notes Generator

Saves time, captures action items, boosts productivity

Speech-to-text

Text summarization

Web app

Cloud deployment

GenAI-Powered Marketing Content Generator

Quickly creates ad copy, product descriptions, blogs, etc.

LLMs (OpenAl, Cohere)

Prompt engineering

Web app

Smart FAQ Chatbot

Saves HR/IT Time, Improves obloarding & support

NLP

LLMs

Prompt Engineering

Vector DB

Web App

Cloud Deployment

Automated News Summarizer

Saves research time, keeps teams updated

Web scraping

Text summarization

NLP

Web UI

Cloud deployment

Personal Finance Tracker

Empowers use, supports financial wellness

Data processing

Web/mobile app,

Cloud hosting

Is this for you

AI Engineers, Developers and Data Engineers: Looking to move from prototypes to production with GenAI, MLOps, and Agentic AI.

Cloud Developers & DevOps Engineers: Aiming to add full-stack AI deployment, observability, and orchestration skills.

Software & System Architects: Building intelligent, cloud-native systems that scale across enterprise use cases.

Tech Entrepreneurs & Founders: Creating AI-powered products and looking to fast-track engineering capabilities.

Working Professionals in Tech: Upskilling for future-proof roles in AI, cloud, and automation.

Education: 3–4 year STEM degree (B.Tech, B.Sc, MCA, etc.)

Minimum Marks: 50% in graduation

Experience: Preferred 1+ years of industry experience; however, qualified freshers who have prior courses done in AI or ML may apply

Prerequisites: Programming experience required, via academics, work, or projects

Screening: Mandatory pre-screening test to assess readiness for the program

Application Process

Your First Step to the India’s Most Career-Defining AI Certification.

Apply Now

Step 1

Apply Online

Submit your application form with academic and professional details.

Step 2

Take the Pre-Screening Test

Attempt a short test to assess your foundational understanding of AI, cloud, and programming.

Step 3

Profile Review & Shortlisting

Your application and test results will be reviewed by the admissions panel.

Step 4

Interview (If Applicable)

Shortlisted candidates may be invited for a 1:1 interview to evaluate fit and motivation.

Step 5

Receive Admission Offer

Selected candidates will receive an official offer letter from the admissions team.

Step 6

Confirm Your Seat

Block your seat by completing the enrollment process and payment.

Step 7

Graduate with IIT Roorkee Certification

Upon successful completion of the 9-month journey, receive your Advanced Certification in AI Engineering and AIOps from IIT Roorkee.

From Code to Cloud: What You’ll Truly Master Here

Build full-stack GenAI systems

Master the complete development cycle of GenAI applications using LLMs, LangChain, RAG, and sophisticated agent orchestration - moving beyond basic notebooks to production-ready APIs.

Master AI pipelines

Learn to deploy, version, monitor, and retrain models using industry-standard tools like Docker, Kubernetes, and advanced MLOps workflows for seamless production environments.

Design enterprise-ready agents

Create automated workflow solutions using cutting-edge frameworks including AutoGen, Crew AI, and n8n, bringing true intelligence to business processes.

Navigate cloud platforms

Gain expertise in architecting, containerizing, and deploying AI solutions across major cloud platforms - AWS, Azure, and GCP.

Secure and scale AI

Implement robust systems with rollback capabilities, comprehensive observability, security measures, and compliance protocols for enterprise-grade AI deployments.

Own the AI engineering lifecycle

Master the complete spectrum from foundational machine learning to advanced multimodal GenAI and agentic architectures, becoming a full-stack AI engineering professional.

Tools & Platforms You’ll Master

Already in AI or Data Science? This Is How You Level Up

Role Now

Data Scientist

Salary Today

4-12 LPA

Role Upgraded

AI Engineer with GenAI specialization

Earning Potential

18 - 35 LPA

Current Skills

Python, R, SQL, Basic Statistics, Data Visualization

Upgraded Skills (From IIT Roorkee Program)

LLM fine-tuning, Prompt Engineering, LangChain, AutoGen, CrewAI, Agentic Workflow Design, RAG, Vector Databases

Top Recruiters

Role Now

Machine Learning Engineer

Salary Today

5 - 10 LPA

Role Upgraded

Generative AI Engineer

Earning Potential

20 - 40 LPA

Current Skills

Python, Basic TensorFlow/PyTorch, Simple Model Training

Upgraded Skills (From IIT Roorkee Program)

Advanced GenAI, LLMs (GPT-4, Cohere), Hugging Face, Diffusion Models, GANs, VAEs, Cloud ML Platforms (AWS SageMaker, Azure ML)

Top Recruiters

Role Now

Data Engineer

Salary Today

4 -8 LPA

Role Upgraded

AI Data Engineer

Earning Potential

15 - 25 LPA

Current Skills

SQL, Basic ETL, Python, Simple Data Pipelines

Upgraded Skills (From IIT Roorkee Program)

Unstructured Data Processing, AI-driven ETL, Real-time Data Streaming, Cloud-native Pipelines (AWS, Azure, GCP), Vector Databases

Top Recruiters

Role Now

MLOps Engineer

Salary Today

6 - 10 LPA

Role Upgraded

AI Systems Engineer with AIOps

Earning Potential

22 - 45 LPA

Current Skills

Basic Docker, Simple CI/CD, Model Deployment

Upgraded Skills (From IIT Roorkee Program)

AIOps, Multi-agent Orchestration, Advanced MLOps, Kubernetes, Prometheus, Grafana, Seldon, Evidently AI, Cloud Security

Top Recruiters

Role Now

Data Analyst

Salary Today

4 - 8 LPA

Role Upgraded

AI Product Analyst

Earning Potential

18 - 30 LPA

Current Skills

SQL, Excel, Basic Python, Tableau/PowerBI

Upgraded Skills (From IIT Roorkee Program)

Comprehensive AI/ML understanding, Business Impact Analysis, Basic GenAI applications, Data-driven insights with AI tools

Top Recruiters

Role Now

Business Intelligence Developer

Salary Today

4 - 7 LPA

Role Upgraded

Cloud AI Solutions Developer

Earning Potential

20 - 35 LPA

Current Skills

SQL, Basic ETL, Power BI/Tableau, Data Visualization

Upgraded Skills (From IIT Roorkee Program)

AI/ML integration, Cloud platforms, Basic system design, Performance optimization, Serverless AI

Top Recruiters

Role Now

AI Engineer

Salary Today

5 - 12 LPA

Role Upgraded

Agentic AI Engineer

Earning Potential

25 - 50 LPA

Current Skills

Python, Basic ML Algorithms, Simple Neural Networks

Upgraded Skills (From IIT Roorkee Program)

Advanced Agentic AI, Multi-agent Systems, Semantic Kernel, Knowledge Base Integration, Production AI Deployment

Top Recruiters

Role Now

Cloud Engineer

Salary Today

4 - 8 LPA

Role Upgraded

Cloud AI Engineer

Earning Potential

25 - 45 LPA

Current Skills

Basic AWS/Azure, Simple Deployments, Basic Networking

Upgraded Skills (From IIT Roorkee Program)

Advanced Cloud AI Services, Serverless AI, Auto-scaling ML Infrastructure, Cost Optimization, AI-native cloud architecture

Top Recruiters

Haven’t Gotten Your Hands Dirty Yet? There’s Never Been a Better Time

Job Role

AI Engineer

Starting Salary (₹ LPA)

12-30 LPA

Skills Required

Advanced GenAI, LLMs (GPT-4, Cohere), Hugging Face, Diffusion Models, GANs, VAEs, Cloud ML Platforms (AWS SageMaker, Azure ML)

Companies hiring for this role

Job Role

Machine Learning Engineer

Starting Salary (₹ LPA)

12-28 LPA

Skills Required

Python, Basic TensorFlow/PyTorch, Model Training, Data Preprocessing, Feature Engineering, Model Evaluation

Companies hiring for this role

Job Role

Data Scientist

Starting Salary (₹ LPA)

12-22 LPA

Skills Required

Statistical Analysis, Python, R, SQL, Data Visualization, Machine Learning fundamentals

Companies hiring for this role

Job Role

AIOps Engineer

Starting Salary (₹ LPA)

15-35 LPA

Skills Required

Basic Docker, Simple CI/CD, Model Deployment, Kubernetes basics, Prometheus, Grafana, Cloud platforms

Companies hiring for this role

Job Role

Data Analyst

Starting Salary (₹ LPA)

12-18 LPA

Skills Required

SQL, Excel, Basic Python, Tableau/PowerBI, Statistical Analysis, Data Visualization

Companies hiring for this role

Job Role

AI Product Analyst

Starting Salary (₹ LPA)

15-30 LPA

Skills Required

Comprehensive AI/ML understanding, Business Impact Analysis, Data-driven insights, Product Management basics

Companies hiring for this role

Job Role

Cloud AI Engineer

Starting Salary (₹ LPA)

18-35 LPA

Skills Required

Basic AWS/Azure, Simple Deployments, Cloud Security, Serverless AI, Auto-scaling ML Infrastructure

Companies hiring for this role

Job Role

Generative AI Engineer

Starting Salary (₹ LPA)

12-30 LPA

Skills Required

Advanced GenAI, LLMs (GPT-4, Cohere), Hugging Face, Diffusion Models, GANs, VAEs, Cloud ML Platforms (AWS SageMaker, Azure ML)

Companies hiring for this role

Step Into the AI Roles Enterprises Are Hiring For

Apply Now

Learn from the Futurense
Leadership Council

Get industry insights and mentorship directly from an exclusive community of AI experts and CXOs from MAANG companies and Fortune 500s.

Ashish Dabas

Vice
President

Nitin Srivastava

Data & Analytics
India Lead

Anupam Gupta

VP Enterprise Data and
Analytics

Muthumari S

Global Head of Data &
AI Studio

Anand Das

Chief digital & AI Officer: Engineering

A V Rahul

Director,
Analytics

Madhu Hosadurga

Global Vice President,
Enterprise AI

Aditya Khandekar

President
‍

Pankaj Srivastava

Partner
‍

Satyakam Mohanty

Founder & Managing
Partner

Sharmistha Chaterjee

Vice President - Data and AI Shared Capabilities

Anirban Nandi

Head of AI Products & Analytics (Vice President)

Monica S Pirgal

Managing Director &Site head - Board member

Sumon Mal

Head of
Engineering

Pankaj Rai

Group Chief Data and
Analytics Officer

Vishal Nagpal

Data Science and
Analytics Leader

Tushar Sahu

Director
Engineering

Ishu Jain

Head of
Analytics

Kaushik Das

Managing
Director

Shrisha Ray

Director of
Engineering

Divesh Singla

Head APAC & Managing Director India & Philippines

Ruchika Singh

Director , Data Science
& Insights

Arvind Balasundram

Executive Director, Commercial Insights & Analytics

Indrani Goswami

Director of
Analytics

Saurabh Kumar

Director - Data
Engineering

Saurabh Agarwal

Chief Executive
Officer

Supria Dhanda

Co-Founder & Managing
Partner

Ankit Mogra

Director - BI &
Analytics

Srini Oduru

Head of IT Delivery and Operations

Alok Tiwari

Vice President -
Data

Akshay Kumar

Research & Analytics
Leader

Deepa Mahesh

Head of Strategy & Operations, Board Member

Swati Jain

Partner - Digital, AI &
Analytics

Krithika Muthukrishnan

Chief Data Science
Officer

Tushar Chahal

Chief Technology
Officer

Sulabh Jain

Chief Analytics
Officer

Aneel kumar

Global Chapter Leader - ICSS, DD&T

Arpit Agarwal

Head of Data Science and Analytics

Bhairav M

Senior Manager Data Science and Product Management

Saurabh Agarwal

Chief Executive
Officer

Supria Dhanda

Co-Founder & Managing
Partner

Ankit Mogra

Director - BI &
Analytics

Pankaj Rai

Group Chief Data and
Analytics Officer

Tushar Sahu

Director
Engineering

Vishal Nagpal

Data Science and
Analytics Leader

Ishu Jain

Head of
Analytics

Kaushik Das

Managing
Director

Shrisha Ray

Director of
Engineering

Divesh Singla

Head APAC & Managing Director India & Philippines

Ruchika Singh

Director , Data Science
& Insights

Arvind Balasundram

Executive Director, Commercial Insights & Analytics

Indrani Goswami

Director of
Analytics

Saurabh Kumar

Director - Data
Engineering

Saurabh Agarwal

Chief Executive
Officer

Supria Dhanda

Co-Founder & Managing
Partner

Ankit Mogra

Director - BI &
Analytics

Ashish Dabas

Vice
President

Nitin Srivastava

Data & Analytics
India Lead

Anupam Gupta

VP Enterprise Data and
Analytics

Muthumari S

Global Head of Data &
AI Studio

Anand Das

Chief digital & AI Officer: Engineering

Aditya Khandekar

President
‍

Satyakam Mohanty

Founder & Managing
Partner

Sharmistha Chaterjee

Vice President - Data and AI Shared Capabilities

Anirban Nandi

Head of AI Products & Analytics (Vice President)

Monica S Pirgal

Managing Director &Site head - Board member

Sumon Mal

Head of
Engineering

Srini Oduru

Head of IT Delivery and Operations

Alok Tiwari

Vice President -
Data

Akshay Kumar

Research & Analytics
Leader

Deepa Mahesh

Head of Strategy & Operations, Board Member

Swati Jain

Partner - Digital, AI &
Analytics

Krithika Muthukrishnan

Chief Data Science
Officer

Tushar Chahal

Chief Technology
Officer

Sulabh Jain

Chief Analytics
Officer

Aneel kumar

Global Chapter Leader - ICSS, DD&T

Arpit Agarwal

Head of Data Science and Analytics

Bhairav M

Senior Manager Data Science and Product Management

A V Rahul

Director,
Analytics

Madhu Hosadurga

Global Vice President,
Enterprise AI

Social Media

Where the Real Hiring Is Happening

India’s Only Certification Covering the Full AI Engineering Lifecycle

Master 15+ Real-World Tools, Frameworks & AI Workflows

Learn from IIT Faculty & CXOs Behind Scalable AI Systems

High-Growth Job Paths in AI Engineering

Scale Enterprise AI on Cloud

GenAI Lit the Spark: But It Couldn’t Sustain the Fire

The Root Problem? Teams Were Building in Isolation

Enterprise AI Took Over: and It’s Winning

India’s Big Bet: Cloud + GPU + Agentic Infrastructure

Cloud-Native AI Is Now the Default

Legacy Enterprises Need Full-Cycle AI Engineering

It’s time to convert prototypes into pipelines

This Is Where the Real AI Hiring Begins

From Coder to System Thinker... This Is the Program

About IIT Roorkee

About Director

Program Director

What This Program Packs In

Full AI Engineering Lifecycle

Industry-Led Design

Advanced AI Technologies

Cloud-Native Focus

Project-Based Learning

Expert Faculty

Flexible Learning

Campus Experience

Designed by CXOs & Leaders at Top AI-First Companies

Module 1: Foundations of AI ML and Generative AI

Module 2: Deep dive into Machine Learning Algorithms

Module 3: Understanding Deep Learning

Module 4: Exploring NLP

Module 5: Engaging with Generative AI

Module 6: Understanding LLMs

Module 7: GenAI Application Development Prompting Techniques

Module 8: Synthetic Data and Datasets for LLMs

Module 9: AI Embeddings & Retrieval

Module 10: Understanding Agentic AI

Module 11: Exploring Cloud Ecosystems

Module 12: Advancement in Hypervisors

Module 13: Container Orchestration

Module 14: Cloud Security & Resilience

Module 15: Understanding Cloud in context of Gen AI and LLMs

Total

Before the Job Offer, the Job Experience

Al-Powered Meeting Notes Generator

GenAI-Powered Marketing Content Generator

Smart FAQ Chatbot

Automated News Summarizer

Personal Finance Tracker

Is this for you

Application Process

Apply Online

Take the Pre-Screening Test

Profile Review & Shortlisting

Interview (If Applicable)

Receive Admission Offer

Confirm Your Seat

Graduate with IIT Roorkee Certification

From Code to Cloud: What You’ll Truly Master Here

Build full-stack GenAI systems

Master AI pipelines

Design enterprise-ready agents

Navigate cloud platforms

Secure and scale AI

Own the AI engineering lifecycle

Tools & PlatformsYou’ll Master

Tools & Platforms You’ll Master

Already in AI or Data Science? This Is How You Level Up

Haven’t Gotten Your Hands Dirty Yet? There’s Never Been a Better Time

Step Into the AI Roles Enterprises Are Hiring For

Learn from the FuturenseLeadership Council

Follow Us On Instagram

FAQs

Question

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Tools & Platforms
You’ll Master

Learn from the Futurense
Leadership Council