Program on
New Age Tools & Technology
from iHUB DivyaSampark, IIT Roorkee
Program on
New Age Tools & Technology
from
iHUB DivyaSampark, IIT Roorkee
- Learn from industry experts and top faculty with experience from top global institutes
- Build production-ready GenAI and multi-agentic applications using LangChain, Hugging Face, and advanced agentic-AI workflows
- Earn Certification from iHUB DivyaSampark, IIT Roorkee, boosting your career.
Batch Starts
September 23, 2025
Course Duration
7 Months
Eligibility
Beginner Level
Learning Mode
Online
Time Commitment
8-10 hours / week
Batch Starts
September 23, 2025
Course Duration
7 Months
Eligibility
Beginner Level
Learning Mode
Online
Time Commitment
8-10 hours / week
Application Closed.
Admission Process
Clear Qualifier Test
Clear the qualifier test to be eligible for the program
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Complete Counselling
Only shortlisted candidates go through the counselling process
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Start Learning
Learn from India's top educators and stand out from the crowd.
Qualifier test details
To join this program, you must clear the qualifier test on your allotted date.
Topics Covered
- • Logical reasoning
- • Quantitative Aptitude
- • Basic Maths
Registration Process
- • Pay ₹99 and choose your slot
- • Unlock free mock test and practice before your final exam
Things to Remember
- • The duration of the test is 60 minutes
- • You can take the test only once at your allotted time & slot
- • The test can only be taken on a desktop/laptop on Google chrome browser
Fee Structure
Qualifier Test Fee
(non-refundable)
Option 1
Upfront
Option 2
EMI
(Through Our NBFC Partners)
Secure Seat Fee
(non-refundable)
₹4,000
₹4,000
Remaining Programme Fee
(non-refundable)
₹56,000
₹7,156 x 9 months
Total
₹60,000
( + GST **)
₹68,404
( + GST **)
** GST at 18% extra, as applicable
Our NBFC Partners
Why choose this course?
Master New Age Software Engineering with Leading IIT Faculty
Certification from iHUB DivyaSampark, IIT Roorkee: Receive a Certificate of Completion from iHUB DivyaSampark, IIT Roorkee, recognizing your achievement.
Campus Immersion: An optional 3-day campus immersion for direct interaction with industry experts and peers
Future-Proof Career Gateway: Launch into a high-growth, future-proof New Age software engineering career with in-demand skills.
Advanced Curriculum: Access cutting-edge Software Engineering content, engaging simulations, and practical evaluations. Focus on real-time project implementation for hands-on mastery.
Case-Based Learning: Engage in real-world, case-based sessions that connect theory with practical Software engineering challenges.
World-Class Faculty: Learn directly from IIT’s top-tier faculty and industry experts
What Will You Learn?
Elevate your software engineering prowess. Learn to build intelligent applications, deploy scalable cloud solutions, and integrate Generative AI for unparalleled innovation. Drive your career forward with a robust portfolio built from hands-on labs simulating real-world AI development and cloud deployments. Secure your place as a high-impact software engineering professional, ready to lead with data-driven strategies and build intelligent digital products.
Toolkit
Course Details
Duration
7 Months
Course Mode
Online
Certification
From iHUB DivyaSampark, IIT Roorkee
Module 1: Generative-AI Foundations & Prompt Craft
- Grasping the fundamental architecture behind large language models
- Zero-shot, few-shot, and chain-of-thought prompting for improved model responses
- Using role personas, and formatting outputs with JSON/Markdown.
- Understanding token budgeting, latency considerations, and cost implications
- Introduction to basic safety filters in generative AI
Module 2: Production-Grade AI Engineering Fundamentals
- Managing the lifecycle of AI models and version control.
- Implementing regression tests and continuous evaluation for AI models.
- Setting up tracing, metrics, and alerting for AI systems.
- Establishing guardrails and policy layers for ethical and safe AI deployment.
Module 3: Serverless & Edge AI Deployments
- Exploring Cloudflare Workers, AWS Lambda, and Vercel Functions for AI deployment.
- Implementing secrets rotation and authentication mechanisms.
- Handling streaming data, retries, and webhooks for dynamic AI services.
- Understanding autoscaling and mitigating cold-start issues.
- Building dashboards to monitor cost and latency of deployed AI services.
Module 4: Community Models & Custom Fine-Tuning
- Navigating resources like Hugging Face and PapersWithCode for model discovery.
- Performing local inference with Ollama and GGUF models.
- Utilizing Transformers.js and WebGPU for in-browser AI applications.
- Implementing LoRA (Low-Rank Adaptation) and QLoRA for custom model tuning.
- Understanding the legal and ethical considerations of open models.
Module 5: Knowledge Retrieval & Semantic Memory
- Techniques for chunking and creating effective text embeddings.
- Working with vector databases like pgvector, Pinecone, and Weaviate.
- Combining hybrid keyword and vector search for comprehensive retrieval.
- Establishing safety and quality controls for RAG systems.
- Understanding recall, precision, and Mean Reciprocal Rank (MRR) for retrieval systems.
Module 6: AI Agents & Agentic Workflows
- Understanding ReAct (Reasoning and Acting) and Plan-Act-Reflect loops.
- Using JSON-schema for function calling and managing tool registries.
- Implementing reflection, retries, and guardrails for robust agent behavior.
- Coordinating multiple agents using frameworks like CrewAI and LangGraph.
- Ensuring agents adhere to predefined output formats.
Module 7: Vision-Enabled & Multisensory AI
- Understanding prompt styles and generation techniques for diffusion models.
- Exploring capabilities like image captioning and Optical Character Recognition (OCR).
- Implementing image editing and in-painting chains for creative AI applications.
- Utilizing describe → generate → refine workflows for visual AI.
- Discussing NSFW detection, watermarking, and adversarial risks in visual AI.
Module 8: Capstone Sprint
- Comprehensive review of solution architecture and design.
- Integrating components like vector databases, AI agents, and a streaming user interface.
- Optimizing the solution for performance and cost efficiency.
- Ensuring the solution meets observability and regulatory compliance standards.
- Preparing the solution for live demonstration and presentation.
Contact Us
Get started
Join the Program
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