Executive Program in AI Engineering and Intelligent Agents
Learn to define, design, and deploy Agentic AI solutions for real business and enterprise use cases.
Build and deploy production-ready AI systems and intelligent agents for enterprise environments.
Certificate: CCE IIT Roorkee Certificate on successful completion
Duration: 80 Hours, weekend friendly
Next Cohort: April 4th 2026
Format: Live online sessions, hands on labs, recorded material after every class
Program Fee: ₹120,000 + GST
Scholarships: Eligibility-based options available*
AI adoption is accelerating across industries. Building a practical AI workflow is becoming a core capability.
IIT Roorkee Pedigree
NIRF-ranked institution, strong academic credibility
Weekend Live, Executive-Friendly
Designed for working professionals
Agentic AI for Enterprise Workflows
Build real AI workflows for business use cases
No-code and Low-code Learning
Build solutions without heavy programming dependency
Hands-on Labs and Guided Practice
DeWork on real tasks and capstone projects
Deployable Outcomes
Learn how to take an AI workflow from idea to deployment
This program is designed for working professionals who want to identify, build and deploy Agentic AI solutions in real organisational settings.
Suitable for:
Teams supporting AI deployment in the enterprise
- Product and operations teams working on workflow automation
- Cloud engineering and DevOps
- Data engineering and data platforms
- Data engineering and analytics teams who want to build AI workflows
-
Consulting and solution roles working on business problems and innovative use cases
- Consulting roles working on enterprise systems
- Professionals looking to lead AI initiatives inside their teams
No heavy programming background is required. If you have basic comfort with tools and structured thinking, you can maximize the benefits from the program.
Practical AI Capabilities
By the end of the program, you will be able to:
Strategy & Identification
- Identify high-value AI use cases for your team or business function
- Translate business problems into AI workflows and solution designs
- Select the right tools and LLM for the task (GPT, Claude, Gemini) based on context and constraints
Building & Implementation
- Build workflows using tool calling and Retrieval Augmented Generation (RAG)
- Design multi-step agent workflows and orchestration patterns
- Deploy AI workflows in usable formats for teams (interfaces, lightweight apps, or internal tools)
Evaluation & Improvement
- Evaluate outputs, improve reliability, and add basic guardrails
Delivered in collaboration with the Continuing Education Centre of IIT Roorkee, this program combines academic rigor with practical, industry-relevant implementation of Agentic AI.
Agentic AI is now becoming a core capability across industries. Teams are building internal AI workflows for automation, decision support, and knowledge management.
Participants learn from IIT Roorkee faculty and industry experts through live sessions, hands-on labs, and capstone mentoring.
Many AI programs today fall into one of two categories:
-
Strategy-focused programs that explain why AI matters, but do not help you build and deploy working solutions
-
Academic programs that focus on model training and technical workings, but lack focus on solving business problems and identifying AI-fit workflows.
This creates a gap for working professionals who want to build deployable AI workflows.
Most teams do not need to train large models from scratch. Instead, they need to learn how to:
-
Identify practical use cases
-
Solve business problems
-
Use existing LLMs effectively
-
Build reliable workflows using RAG and tool calling
-
Deploy AI solutions reliably for real users
This executive program is designed to build exactly these capabilities.
Applied engineering roles this skill set supports:
- AI Engineer
- Applied AI Engineer
- ML Engineer
- LLM Engineer
- Intelligent Automation Engineer
- Agent Workflow Developer
- RAG Developer
- AI Product Developer
You will get practical exposure to commonly used AI tools and platforms, and learn how to choose the right tool for the right workflow.
Core Technologies
- LLM tools: ChatGPT (OpenAI), Claude, Gemini, Copilot, LangChain
- Research and workflow support: Perplexity and similar tools
- Agent workflows:< prompting, tool calling, orchestration patterns
- Retrieval and knowledge systems: RAG workflows and vector search
- Deployment basics: turning workflows into usable internal tools
ChatGPT (OpenAI)
Claude
Microsoft Copilot
OpenAI Framework
LangChain
Perplexity
Portfolio-Ready AI Projects
You can choose capstone from the pool of several practical projects for creating portfolio of AI workflows and demonstrable outputs.
Supply Chain
- Agents to forecast demand
- Risk prediction
Billing Automation
- Data extraction using OCR
- Automated invoice matching
- Fraud detection
- Invoice categorisation
- Error reduction and correction
Sales & Marketing
- Customer segmentation and customer behaviour analysis
- Agents to forecast propensity
- Lead management and customer engagement agent
AI in Retail Analytics
- Personalised shopping experiences
- Fraud detection, loss prevention and security
- Intelligent inventory management
- Real-time stock optimisation
- Predictive logistics
Agriculture
- Crop yield prediction
- Plant health detection through leaf
Disaster Management
- Early warning systems using weather pattern analysis
- Drones for disaster surveillance
- Chatbots for communication and updates
- Social media analysis to identify affected areas
- Predictive modelling for resource management
Adaptive Traffic Flow Optimiser
- Predict vehicle queue lengths
- Suggest optimal green light durations
- Reduce CO2 emissions and idling time
Crowd Safety via AI Video Analytics
- Risk and incident detection workflows
Note: Capstones are mentored jointly by AI practitioners and academic faculty to ensure practical relevance and conceptual rigor.
Where our learners work
.svg.png){kind=logo}
The program is built to help you build practical AI workflows, not just watch demos.
You will learn through:
- Live, guided sessions with clear step-by-step assignments and tasks
- Hands-on labs focused on real workplace tasks
- Templates and starter workflows you can reuse after the program
- Mentor support during the capstone project implementation
Our Approach
The approach is no-code and low-code first. Wherever code is needed for deployment or integration, it will be provided in guided form so you can still ship working outcomes without heavy programming dependency.
The program includes 80 hours of live instruction through weekend virtual classes. Recorded videos are provided after every session for revision.
-
Module 1
Motivation for AI and the modern AI landscape
- Why AI matters for working professionals
- Evolution of AI systems
- Handling unstructured text input
- How LLMs and agents became the new AI workflow stack
-
Module 2
Foundations of data, machine learning, and AI systems
- Data fundamentals for AI workflows
- ML concepts you must know for real use cases
- What makes an AI system work end to end
- How ML, LLMs, retrieval, and agents connect in real systems
-
Module 3
Foundations of AI workflow building
- Understanding AI workflow building blocks
- Working with APIs, structured inputs, and outputs
- Handling unstructured text and documents
- Organising workflows using templates and reusable components
-
Module 4
Machine learning fundamentals for implementation
- Supervised and unsupervised learning basics
- Building and validating small ML models using standard tools
- Evaluating model behaviour with simple metrics
- Exporting and reusing models in practical workflows
-
Module 5
Working with LLM systems
- Using LLMs safely and efficiently for workplace tasks
- Prompt patterns for reasoning and structured outputs
- Understanding context windows and token limits
- Using LLMs for summaries, transformations, and workflow automation
-
Module 6
Retrieval Augmented Generation (RAG)
- Document loading, chunking, and preprocessing
- Embeddings and vector search basics
- Connecting retrieval to prompts for reliable outputs
- Building a simple RAG workflow end to end
-
Module 7
Agents and tool-powered workflows
- What tool calling means and how it works in practice
- Designing controlled tool inputs and outputs
- Building multi-step agent workflows
- Agent output checking and validation patterns
-
Module 8
Building and deploying AI applications
- Turning workflows into usable internal tools
- Simple interfaces for teams and stakeholders
- Environment setup and dependency basics
- Introduction to monitoring, logging, and observability
-
Module 9
Engineering patterns for enterprise AI systems
- Evaluating AI outputs for accuracy and reliability
- Improving retrieval and prompting strategies
- Error handling and fallback mechanisms
- Basic safety, guardrails, and controlled execution principles
-
Module 10
Capstone implementation
Participants build an end-to-end Agentic AI solution that includes:
- LLM usage and workflow logic
- Retrieval logic (RAG) where relevant
- Tool-based workflow or agent orchestration
- A usable interface or internal tool output
- Clear documentation and demonstration
Academic Rigor, Industry Relevance, Trusted Credential
Delivered in collaboration with IIT Roorkee, the program combines academic rigor with a strong engineering focus aligned to real-world AI systems.
Participants learn through live sessions led by IIT Roorkee faculty, who bring research depth and analytical rigor, along with experienced industry practitioners who guide the implementation of AI, LLM, and agent-based systems used in enterprise environments.
This blend of academic depth and practical engineering experience ensures participants gain both conceptual clarity and hands-on capability required to design, build, and deploy reliable AI systems.
On successful completion, participants earn a Certificate of Completion from the Continuing Education Centre (CEC), IIT Roorkee, a credential recognised across industry and academia.
Prof. Pradeep Jha
Specialist in Smart Manufacturing and AI
Structured Learning Experience
Duration & Structure
- Total duration: 80 hours
- Live sessions: 18 sessions of 2.5 hours each
- Faculty-led learning: 45 hours
- Hands-on practice: 35 hours of tutorials and capstone work
Schedule & Delivery
- 10 modules delivered in structured engineering sequence
- Weekend live online sessions for working professionals
- Recordings shared after every class
- Guided support for capstone development
₹120,000 + GST
Complete Program Fee
Scholarships*
Available based on eligibility - Merit and need-based options.
Payment Options
Instalments options available. Ask the program team for EMI options.
Optional Campus Immersion*
2-day optional campus visit, Includes food and shared accommodation, Available at additional cost
Group Discounts
Special rates for multiple participants from same organization
Employer sponsorship: Corporate invoicing and group participation support available.
Corporate L&D Support
Many professionals get this program sponsored through corporate L and D budgets.
We can help with:
- Program overview and learning outcomes for manager approval
- Corporate invoicing
- Group participation support for teams
Submit Interest
Share your details to explore fit for the executive program.
Advisory discussion
Our team guides you on business relevance, priorities, and program alignment.
Enrollment & Onboarding
Confirm participation and get access to strategy sessions and resources.
The program welcomes engineers and technology professionals from IT, enterprise, and industrial environments who are committed to hands-on learning and real-world implementation.
Career Outcomes
The program builds skills relevant for engineering and solution roles such as:
(AI Driven)
Participants gain the ability to design and implement real-world AI systems that seamlessly integrate into enterprise environments.
Ready to Upskill
Build enterprise ready AI engineering skills with IIT Roorkee faculty and industry mentors. Move beyond experimentation and learn how to ship working AI features in real systems.
FAQs
* Optional Campus Immersion: Campus immersion is optional and available at an additional cost. Approximate charges are ₹10,000 for 2 days, which includes food and shared accommodation (on a sharing basis). Subject to confirmation.
* Scholarships: Scholarships are subject to meeting predefined eligibility criteria such as educational background, academic performance, and professional experience. Final approval is at the sole discretion of Institute.