AI & Machine Learning

A practical, mentor-driven program covering the essential concepts of AI and ML with real deployments, industry tools, and IIT COE lab experience. Perfect for anyone aiming to build strong fundamentals and a professional-level portfolio.

45 days
Online + Offline
Beginner friendly
No prior experience required
Industry focused
Learn what industry needs
LOR + internship Certificate
Credentials that boost careers

What you'll learn

  • Data handling, visualization, and model evaluation
  • Computer Vision using OpenCV
  • Model deployment using Streamlit
  • GitHub & workflow fundamentals
  • Resume-building and career guidance

Skills you'll gain

Python Programming ML Algorithms Deep Learning Data Visualization Model Deployment Computer Vision Hardware Integration OpenCV Data Handling Project Building GitHub Workflow Career Readiness
Week 1 : Artificial Intelligence Fundamentals and Python Programming
Technical Track
  • Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision Concepts + Python Programming Fundamentals
  • Advanced Data Libraries (NumPy, Pandas), Data Handling Techniques, Data Preprocessing & Cleaning
  • Data Visualization and Analysis + Introduction to Scikit-Learn Machine Learning Library
Professional & Non-Technical Skills
  • Internship Orientation and Program Overview
  • Career Goal Setting and Industry Pathway Planning
  • Entrepreneurship Fundamentals: ML Startup Validation & Ideation
Week 2 : Machine Learning Fundamentals and Predictive Analytics
Technical Track
  • Machine Learning Paradigms, Feature Engineering, Data Labeling, Comprehensive Data Analysis
  • Exploratory Data Analysis (EDA), Linear Regression Models, Performance Evaluation Metrics & Interpretation
  • Decision Trees, Random Forest Ensembles, Logistic Regression Classification, Advanced Performance Metrics
Professional & Non-Technical Skills
  • Professional Resume Development and LinkedIn Profile Optimization
  • Technical Communication and Professional Email Writing
  • Thesis Writing Foundations: Structure, Abstract Writing, Research Ethics & Academic Integrity
Week 3 : Deep Learning Architecture and Neural Network Implementation
  • Neural Network Architecture, Activation Functions, Deep Learning Frameworks (Keras/TensorFlow)
  • Advanced Training Strategies, Regularization Techniques, Optimization Algorithms, Hyperparameter Tuning
  • End-to-End Deep Learning Workflow, Model Development Lifecycle, Hands-on Mini Project Implementation
Professional & Non-Technical Skills
  • Technical Interview Preparation and ML Fundamentals Assessment
  • Entrepreneurship Development: Business Model Canvas for Technology Ventures
  • Industrial Competencies: Managing Setbacks and Building Resilience in Complex Projects
Week 4 : Computer Vision Applications and Advanced Image Processing
Technical Track
  • Computer Vision Fundamentals, OpenCV Library, Advanced Image Preprocessing Techniques
  • Image Classification Models, Data Augmentation Strategies, Practical Implementation with CIFAR-10 Dataset
  • Convolutional Neural Networks (CNNs), Feature Map Analysis, Transfer Learning Approaches (ResNet, MobileNet)
Professional & Non-Technical Skills
  • Executive Communication and Professional Presentation Skills
  • Career Development Roadmap for Machine Learning Professionals
  • Venture Pitch Development and Investor Communication
Week 5 : Robotics Integration and Real-World Hardware Applications at IIT COE Labs
Technical Track
  • Microcontroller Programming, Sensor Integration, Machine Learning Hardware Interaction Protocols
  • Intelligent Conveyor Belt Sorting System (Computer Vision and Industrial Automation Implementation)
  • Speech Recognition and Natural Language Processing (Otto Robot Command Execution)
  • Advanced Robotics: Gesture-Recognition Bionic Hand Control Systems
Professional & Non-Technical Skills
  • Time Management and Project Planning for Technical Teams
  • Workplace Competencies: Risk Management and Mitigation Strategies
  • Interview Excellence: Comprehensive Technical and Human Resources Assessments
Week 6 : Capstone Project Development and Industry Readiness
Technical Track
  • Major Capstone Project Development, Machine Learning and Computer Vision Architecture Design
  • Production Deployment (Streamlit Applications, User Interface Development), Professional Portfolio Development
  • Capstone Presentation, Thesis Final Submission, Industry Certification Awarding
Professional & Non-Technical Skills
  • Industry Expert Panel Q&A Sessions and Placement Readiness Program
  • Thesis Finalization: Mentorship and Quality Assurance Review
  • Program Closure Ceremony, Certificate Distribution, and Alumni Network Integration

Learning Outcomes

Detailed AI–ML Mastery

Gain strong conceptual clarity in Python, ML, DL, and Computer Vision. Practice data handling, model creation, hyperparameter tuning, and deployment workflows.

Industry-Grade Project Development

Build practical AI solutions like robots, hardware integrations, and full ML pipelines.

IIT-Led Mentorship Experience

Learn directly from IIT faculty and industry mentors through blended online + COE lab sessions.

Entrepreneurship & Startup Guidance

Get entrepreneurship guidance & funding insights from industry experts and top institution directors.

Professional Skill Building

Strengthen resume, LinkedIn, communication, interviews, and get thesis writing support.

IIT Certification & LOR

Earn an IIT-recognized internship certificate and PHN Technology Letter of Recommendation.

Certificate

Certificate Preview

Prepare for a Career in AI & ML

  • Learn industry-demanded AI & ML skills with IIT mentors
  • Build real-world projects using ML, DL, CV & hardware
  • Develop strong problem-solving & deployment experience
  • Earn an internship certificate + portfolio to boost your career

6 Weeks

Mentor-led learning

7 Projects

Mini + mega projects

100% Practical

Hands-on AI, ML, CV

IIT Recognition

Certificate reviewed by experts