Batch 2 - Admissions Open
Artificial Intelligence and Machine Learning Certification Program
Qualifier Test Date
July 19, 2026
Course Duration
6 months
Time Commitment
8-10 Hours/week
Eligibility
12th Pass and Above
Learning Mode
Online
3.2K+ students have already registered
Qualifier Test Date
July 19, 2026
Course Duration
6 months
Time Commitment
8-10 Hours/week
Eligibility
12th Pass and Above
Learning Mode
Online
Why Choose This Course?
A premier pathway to mastering AI & ML, designed by IIT experts
Earn a Certificate of Completion from E&ICT Academy, IIT Roorkee, recognizing your learning and achievement.
Optional 2-day campus immersion to interact with faculty/experts, peers, and the institute ecosystem.
Build in-demand AI & ML skills through hands-on learning guided by expert faculty and industry practitioners.
Learn cutting-edge AI & Machine Learning through interactive sessions, coding exercises, and structured evaluations.
Work on hands-on projects across Python, data handling, ML, and Generative AI, apply LLM concepts, LangChain workflows, and deployment to solve real-world problems.
Resume reviews, career coaching, and placement assistance to support your job search (eligibility: 65% attendance & 70% overall marks).
Certification from E&ICT Academy, IIT Roorkee
Earn a Certificate of Completion from E&ICT Academy, IIT Roorkee, recognizing your learning and achievement.
Campus Immersion
Optional 2-day campus immersion to interact with faculty/experts, peers, and the institute ecosystem.
Future-Ready Career Path
Build in-demand AI & ML skills through hands-on learning guided by expert faculty and industry practitioners.
Industry-Aligned Curriculum
Learn cutting-edge AI & Machine Learning through interactive sessions, coding exercises, and structured evaluations.
Project-Based Learning
Work on hands-on projects across Python, data handling, ML, and Generative AI, apply LLM concepts, LangChain workflows, and deployment to solve real-world problems.
Career Support (via Masai)
Resume reviews, career coaching, and placement assistance to support your job search (eligibility: 65% attendance & 70% overall marks).
Certificate Eligibility: Minimum 65% overall attendance and 35% in the cumulative evaluation score.
What Will You Learn?
Drive your career forward by mastering Artificial Intelligence and Machine Learning. Build a strong foundation in Python, data handling with NumPy and Pandas, and data visualization. Advance to core ML models, supervised and unsupervised learning, ensemble methods, and model optimization. Gain hands-on expertise in Generative AI, LLM integration, prompt engineering, agentic AI concepts, and MLOps basics, culminating in a portfolio-ready capstone project that equips you to solve real-world, AI-driven business challenges
Toolkit
Course Details
Duration
6 Months
Course Mode
Online : sat (5:00 PM – 7:00 PM) , sun (11:00 AM – 1:00 PM)
Certification
from E&ICT Academy, IIT Roorkee
- • Master core Python syntax including data types, variables, and string manipulation
- • Organize information efficiently using lists, dictionaries, tuples, and sets
- • Implement complex decision-making logic using if/else statements and loops
- • Develop clean and reusable code through custom function definitions
- • Leverage NumPy for high-speed numerical operations and vectorization
- • Master the Pandas DataFrame for structured data import and inspection
- • Apply professional data cleaning techniques to handle missing values and formatting
- • Perform advanced data manipulation using grouping, filtering, and merging
- • Calculate and interpret key descriptive statistics to understand data distributions
- • Create professional visualizations using Matplotlib and Seaborn
- • Apply feature scaling and engineering techniques like normalization and standardization
- • Define sequential steps for building reliable machine learning pipelines
- • Implement the vital train-test-validation split for model reliability
- • Implement and evaluate simple and multiple linear regression models
- • Master regression metrics including Mean Squared Error and R-squared
- • Build classification models using logistic regression and decision trees
- • Evaluate categories using confusion matrices, precision, recall, and F1-scores
- • Address model robustness through the bias-variance trade-off and cross-validation
- • Implement ensemble methods like random forests and master gradient boosting intuition
- • Optimize model settings for peak performance using hyperparameter tuning
- • Discover hidden patterns and segment data using K-means clustering (unsupervised learning)
- • Explore the landscape of foundation models including GPT, Gemini, and Llama
- • Master advanced prompt engineering techniques like chain-of-thought and few-shot prompting
- • Understand RAG architectures for building grounded and accurate AI applications
- • Build autonomous AI agents using planning and tool-usage frameworks
- • Learn how vector databases and embeddings enable semantic search
- • Finalize project scope and perform end-to-end data sourcing and preparation
- • Select and execute appropriate machine learning models for real-world problems
- • Conduct rigorous model evaluations and document the entire analytical process
Projects
Product-Image Classifier (CNN)
Flipkart’s catalog team wants to auto-categorise product images into Apparel, Electronics, and Home. You train a small CNN on a public Indian e-commerce image dataset using free Colab GPU, push validation accuracy past 85%, and produce a confusion-matrix breakdown that names exactly which category pairs the model still fumbles — and why.
DECISION OUTPUT
Trained classifier with documented confusion patterns the catalog team can route to manual review.
Customer-Churn Predictor & API
Build a churn-prediction model for a D2C customer dataset. Engineer RFM features (recency, frequency, monetary), train a gradient-boosting classifier, deploy as a FastAPI endpoint, and write the model card — including the ethical considerations around retention targeting that any real product team will probe in your interview.
DECISION OUTPUT
A deployable churn predictor with a documented model card you can defend to a hiring panel.
Note: The project deliverables or case studies for your batch may differ, as per the decision of the Institute or Course Faculty
Under The Guidance of
Prof. Sanjeev Manhas
Principal Investigator of E&ICT Academy, IIT Roorkee
Prof. Sanjeev Manhas, Principal Investigator of E&ICT Academy, IIT Roorkee, is a distinguished academician, researcher, and innovator with extensive experience in academia, research, and industry. He ...
Prof. Sanjeev Manhas, Principal Investigator of E&ICT Academy, IIT Roorkee, is a distinguished academician, researcher, and innovator with extensive experience in academia, research, and industry. He ...
Prof. Sanjeev Manhas
Principal Investigator of E&ICT Academy, IIT Roorkee
Prof. Sanjeev Manhas, Principal Investigator of E&ICT Academy, IIT Roorkee, is a distinguished academician, researcher, and innovator with extensive experience in academia, research, and industry. He ...
Prof. Sanjeev Manhas, Principal Investigator of E&ICT Academy, IIT Roorkee, is a distinguished academician, researcher, and innovator with extensive experience in academia, research, and industry. He ...
