A Strategic Collaboration between the IIT Patna Vishleshan I-Hub
Foundation and Dhee Coding Lab (DCL). Bridge the gap between academic rigor and real-world application to become a career-ready AI professional.
- IIT Patna Vishleshan I-Hub Certification
- 150+ Hours of Hybrid, Industry-Focused Training
- Intensive 5-Month Program Structure
- Dedicated Capstone Project and Career Preparation
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Programme Start
December 30, 2025
DURATION
5 Months (8-10 hours/week (additional effort required for non-technical students))
PROGRAMME FEE
INR 75,000 + GST
Eligibility
Engineering students enrolled in the 7th semester of a recognized undergraduate program. Students enrolled in the 3rd semester of a recognized postgraduate program.
The Power of Collaboration: IIT Patna + DCL
This program is born from a synergistic alliance, fusing deep academic knowledge with cutting-edge industry practice.
IIT Patna's Academic Rigor
The program is backed by the Indian Institute of Technology Patna, a premier institution. The Vishleshan I-Hub Foundation ensures the highest standards of academic authenticity, oversight, and integrity. Your certification carries the weight and respect of the IIT Patna name.
Dhee Coding Lab’s Industry Agility (DCL)
As the professional education arm of Prodhee Technologies Private Limited, DCL provides a dynamic, industry-centric curriculum, agile operational infrastructure, and a robust Learning Management System (LMS). We bring qualified, industry-experienced educators to the forefront of your learning.
Our Mutual Objective
To equip early-career professionals with the advanced, practical skills needed for immediate career acceleration in the rapidly evolving fields of Artificial Intelligence (AI) and Machine Learning (ML).
About the Partners
About IIT Patna Vishlesan iHuB
The technology innovation hub of the Indian Institute of Technology Patna, dedicated to fostering research, development, and commercialization of AI and Data Analytics technologies. The I-Hub provides the academic authentication and quality oversight that defines the program’s credibility.
Professional Certification Program in Artificial Intelligence & Machine Learning Engineering
Duration & Structure
- Structured Training: 120 hours of instruction, delivered over 4 months.
- Capstone Project: An additional 1 month is allocated for the dedicated Capstone Project development and defense.
- Total Program Length: Approximately 5 months (excluding flexible breaks and holidays).
Delivery Mode
Hybrid Learning: Academic instruction is led by a mix of expert faculty from both industry and academia.
- Online Modules: Delivered through DCL’s exclusive, robust Learning Management System (LMS).
- Practical Engagement: Includes intensive practical labs, coding exercises, real-world case studies, and personalized mentoring sessions.
- Optional Campus Immersion: Learners may have the opportunity for a campus immersion experience at a partner academic institution, subject to scheduling feasibility, designed for hands-on academic engagement, peer networking, and leadership development.
Certification
Upon successful completion of all modules, assignments, and the Capstone Project, participants will receive a formal: Professional Certification Program in Artificial Intelligence & Machine Learning Engineering
- Issued by: IIT Patna Vishleshan I-Hub Foundation.
- Reflects: Academic rigor, industry relevance, and impartial evaluation.
Ideal Cohort Size
The program is limited to a minimum of 35 learners in the initial Phase 1 cohort to ensure highly interactive sessions, optimal instructor engagement, and personalized mentoring.
Eligibility and Admission Criteria
This program is specifically designed for ambitious early-career professionals ready to specialize in AI/ML.
Target Audience
Engineering students enrolled in the 7th semester of a recognized undergraduate program. Students enrolled in the 3rd semester of a recognized postgraduate program.
Mandatory Prerequisites
Mathematics and Statistics: A demonstrable understanding at the undergraduate level (e.g., linear algebra, calculus, probability). Programming Foundations: Pre-requisite knowledge of Core Python. Database Knowledge: Pre-requisite knowledge of SQL and NoSQL
Curriculum Deep Dive: The 5-Phase Journey (120 Hours + Capstone)
The program is structured across five intensive phases, building a professional from foundational concepts to advanced deployment and career readiness.
Phase 1: Foundations of AI & ML
Artificial Intelligence: Principles & Techniques
- Core AI concepts: agents, state-based & variable-based models, logic, CSPs
- Search algorithms (A*, BFS, DFS, heuristics)
- Applications: robotics, motion planning, machine translation
Python & ML Foundations (Bridge Module)
- Python refresher (Numpy, Pandas, Matplotlib)
- Data preprocessing & feature engineering
- Debugging & performance evaluation
- Introduction to supervised & unsupervised learning
Phase 2: Machine Learning & Advanced Techniques
Machine Learning (Core)
- Regression & classification algorithms – Overfitting, regularization & cross-validation
- Model evaluation metrics
- Real-world applications: text mining, robotics, bioinformatics
Machine Learning with Graphs
- Graph fundamentals & network science
- Graph Neural Networks (GCN, GAT, GraphSAGE)
- PyTorch Geometric
- Applications: recommender systems, fraud detection
Phase 3: Deep Learning & NLP
Deep Learning Foundations
- Neural networks, CNNs, RNNs, LSTMs, Transformers
- Optimization techniques
- Model fine-tuning & transfer learning
Natural Language Processing with Deep Learning
- Word embeddings & contextual vectors
- Sequence-to-sequence models & attention
- Pre-trained language models (BERT, GPT)
- Few-shot & zero-shot learning, GPT implementation
Phase 4 : Advanced AI Applications
Reinforcement Learning
- Markov Decision Processes
- Q-Learning & Policy Gradients
- Deep Reinforcement Learning (DQN, PPO)
- Applications: gaming, recommendation, robotics
AI in Production & Career Preparation
- Deployment with cloud & APIs (AWS/GCP/Azure)
- MLOps & pipeline monitoring – Industry case studies: finance, healthcare, e-commerce
- Career readiness: resumes, coding & ML interview preparation
Phase 5: Capstone Project (Career-Ready Portfolio)
End-to-End AI Project
- Real-world AI/ML problem selection
- Data collection, preprocessing, & feature engineering
- Model building, optimization & deployment
- Presentation & defense for industry simulation
🏆 Program Highlights and Career Readiness
The Capstone Project: Your Portfolio Accelerator
Phase 5 is dedicated to a comprehensive, end-to-end Capstone Project. This is not a theoretical exercise but a real-world AI/ML problem simulation. You will manage the entire lifecycle, from data collection to final deployment and defense, resulting in a career-ready asset for your professional portfolio.
Industry-Driven Deployment (MLOps Focus)
A critical differentiator of this program is the focus on operationalizing AI. You will learn: • Deployment strategies using major cloud platforms (AWS/GCP/Azure). • Principles of MLOps (Machine Learning Operations) and pipeline monitoring—the skillset required to transition models from development to scalable production environments.
State-of-the-Art Deep Learning & NLP
Master next-generation models: • In-depth study of Transformers, the architecture behind modern LLMs. • Practical implementation of pre-trained language models like BERT and GPT.
Optional Campus Immersion Experience
Gain hands-on academic engagement, network with peers, and participate in leadership development exercises through an optional immersion opportunity at a partner academic institution (subject to scheduling).
Program Fees
The total program fee for the Professional Certification Program is:
The fee covers all structured training, curriculum content, LMS access, instructor compensation (external to IIT Patna), assessment, evaluation, and the final issuance of the official certification from the IIT Patna Vishleshan I-Hub Foundation.
Dhee Coding Lab (DCL)
Dhee Coding Lab is the professional education arm of Prodhee Technologies Private Limited. DCL is focused on delivering high-quality, relevant, and immersive technical training, connecting learners directly to the skills demanded by the industry’s most advanced companies. DCL manages the curriculum design, development, high-quality delivery, and all operational aspects of the program.
FAQ's
This is a 5-month hybrid program jointly offered by IIT Patna Vishleshan I-Hub Foundation and Dhee Coding Lab (DCL). It is designed to provide in-depth, industry-aligned training in Artificial Intelligence (AI) and Machine Learning (ML), combining IIT Patna’s academic excellence with DCL’s practical, hands-on pedagogy.
The program is open to:
Engineering students in their 7th semester of a recognized undergraduate program.
Postgraduate students in their 3rd semester.
Applicants must have a foundational understanding of Mathematics, Statistics, Core Python, and Databases (SQL/NoSQL) to qualify.
The program runs for 5 months:
4 months of structured learning (120 hours of hybrid sessions).
1 month dedicated to a real-world Capstone Project.
The learning format blends live online sessions, LMS-based modules, practical labs, and optional campus immersion for peer learning and leadership development.
On successful completion of all modules, assessments, and the Capstone Project, you will receive a Professional Certification in Artificial Intelligence & Machine Learning Engineering, issued by the IIT Patna Vishleshan I-Hub Foundation — a credential that reflects IIT-level rigor and industry credibility.
Unlike generic online courses, this program uniquely combines:
IIT-authenticated certification.
Hybrid delivery led by both academic and industry experts.
Real-world capstone project simulating industry challenges.
Career-readiness training including MLOps, resume building, and mock interviews.
Limited cohort size (35 learners) for personalized mentorship.
You will master the full AI/ML pipeline including:
Core AI concepts, Search Algorithms, and Graph Neural Networks.
Machine Learning and Deep Learning (CNNs, RNNs, Transformers).
Natural Language Processing (NLP), Reinforcement Learning, and MLOps.
Tools and frameworks such as Python, PyTorch, TensorFlow, Scikit-learn, and Cloud (AWS/GCP/Azure).
The total fee is INR 75,000 + GST, which covers:
All learning modules and LMS access.
Instructor-led training and mentoring.
Assessments and evaluation.
Official certification from IIT Patna Vishleshan I-Hub Foundation.
There are no hidden costs; all academic and operational expenses are included.
Graduates of this program gain:
A recognized IIT certification that strengthens employability.
Practical, deployable AI/ML skills applicable across industries like finance, healthcare, e-commerce, and robotics.
Career mentorship for interviews, resume preparation, and project presentation.
It is ideal for early-career professionals aiming to enter or accelerate within the AI/ML domain.
You can check your eligibility and apply directly through the Dhee Coding Lab website.
Seats are limited to 35 learners per cohort, ensuring an interactive and high-quality experience.