get app

    Post Graduate Program in Artificial Intelligence and Machine Learning

    BY
    Great Learning

    Brochure Enquire
    Mode

    Online

    Duration

    12 Months

    Fees

    ₹ 375000

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study, Virtual Classroom
    Mode of Delivery Video and Text Based
    Frequency of Classes Weekends

    Course and certificate fees

    Fees information
    ₹ 375,000

    The fees for course Post Graduate Program in Artificial Intelligence and Machine Learning is -

    HeadAmount
    Programme feesRs. 3,75,000 + GST

     

    Zero Cost EMI Plans -

    Admission Fees (payable on enrolment): ₹ 30,000 (including GST)

    Monthly Installment
    Installment No.Payment
    3 Month EMI₹ 1,43,400
    6 Month EMI₹ 71,700
    12 Month EMI₹ 35,850
    18 Month EMI₹ 23,900

    Note:

    1. Scholarship of 15k Available for selected candidates
    2. All amounts are including GST
    3. 2% processing charge for 12 month EMI and 3% processing for 18 month EMI

    EMI Plans -

    Admission Fees (payable on enrolment): ₹ 30,000 (including GST)

    Monthly Installment
    Installment No.Payment
    24 Month EMI₹ 20,251
    36 Month EMI₹ 14,289
    48 Month EMI₹ 11,541
    60 Month EMI₹ 9,899

    Note:

    1. Scholarship of 15k Available for selected candidates
    2. All amounts are including GST
    3. 3% processing charge
    certificate availability

    Yes

    certificate providing authority

    Great Learning

    The syllabus

    Foundations

    Python for AI & ML
    • Python Basics
    • Jupyter notebook – Installation & function
    • Python functions, packages and routines
    • Pandas, NumPy, Matplotlib, Seaborn
    • Working with data structures,arrays, vectors & data frames
    Applied Statistics
    • Descriptive Statistics
    • Inferential Statistics
    • Probability & Conditional Probability
    • Probability Distributions - Types of distribution – Binomial, Poisson & Normal distribution
    • Hypothesis Testing

    Machine Learning

    Supervised Learning
    • Multiple Variable Linear regression
    • Multiple regression
    • Logistic regression
    • K-NN classification
    • Naive Bayes classifiers
    • Support vector machines
    Unsupervised Learning
    • K-means clustering
    • Hierarchical clustering
    • High-dimensional clustering
    • Dimension Reduction-PCA
    Ensemble Techniques
    • Decision Trees
    • Random Forests
    • Bagging
    • Boosting
    Featurization, Model Selection & Tuning
    • Feature engineering
    • Model selection and tuning
    • Model performance measures
    • Regularising Linear models
    • ML pipeline
    • Bootstrap sampling
    • Grid search CV
    • Randomized search CV
    • K fold cross-validation
    Introduction to SQL
    • Introduction to DBMS
    • ER diagram
    • Schema design
    • Key constraints and basics of normalization
    • Joins
    • Subqueries involving joins and aggregations
    • Sorting
    • Independent subqueries
    • Correlated subqueries
    • Analytic functions
    • Set operations
    • Grouping and filtering

    Artificial Intelligence

    Introduction to Neural Networks and Deep Learning
    • Gradient Descent
    • Introduction to Perceptron & Neural Networks
    • Batch Normalization
    • Activation and Loss functions
    • Hyper parameter tuning
    • Deep Neural Networks
    • Tensor Flow & Keras for Neural Networks & Deep Learning
    Computer Vision
    • Introduction to Image data
    • Introduction to Convolutional Neural Networks
    • Famous CNN architectures
    • Transfer Learning
    • Object detection
    • Semantic segmentation
    • Instance Segmentation
    • Other variants of convolution
    • Metric Learning
    • Siamese Networks
    • Triplet Loss
    Natural Language Processing
    • Introduction to NLP
    • Preprocessing text data
    • Bag of Words Model
    • TF-IDF
    • N-grams
    • Word2Vec
    • GLOVE
    • POS Tagging & Named Entity Recognition
    • Introduction to Sequential models
    • Need for memory in neural networks
    • Types of sequential models – One to many, many to one, many to many
    • Recurrent Neural networks (RNNs)
    • Long Short Term Memory (LSTM)
    • GRU
    • Applications of LSTMs
    • Sentiment analysis using LSTM
    • Time series analysis
    • Neural Machine Translation
    • Advanced Language Models

    Capstone Project

    Career Assistance: Resume building and Mock interviews

    Instructors

    Dr Abhinanda Sarkar

    Dr Abhinanda Sarkar
    Academic Director
    Great Learning

    Other Bachelors, Other Masters, Ph.D

    Mr Mukesh Rao

    Mr Mukesh Rao
    Professor
    Great Learning

    Mr Gurumoorthy Pattabiraman

    Mr Gurumoorthy Pattabiraman
    Faculty
    Great Learning

    Other Masters

    Dr D Narayana

    Dr D Narayana
    Professor
    Great Learning

    Ph.D

    Mr Sayan Dey
    Independent Consultant
    Freelancer

    Dr Kumar Muthuraman

    Dr Kumar Muthuraman
    Professor
    Texas McCombs

    Ph.D

    Trending Courses

    Digital Marketing Courses Fashion Design Courses Data Science Courses Interior Design Courses Graphic Designing Courses Cyber Security Courses Nursing Courses Tally Courses Data Analysis Courses Web Designing Courses Artificial Intelligence Courses Ethical Hacking Courses Free Digital Marketing Courses And certifications Free Artificial Intelligence Courses And Certifications Free Data Analysis Courses And Certifications Free Cyber Security Courses And Certifications Free Data Science Courses And Certifications Free Cloud Computing Courses And Certifications Free Python Courses And Certifications Free Fashion And Textiles Courses And Certifications Free Graphic Designing Courses And Certifications Free Web Designing Courses And Certifications

    Popular Courses

    General Management Courses Public Health Courses Teaching and Education Courses Financial Management Courses Web Development Courses Mathematics Courses Programming Courses Cyber Security Courses Data Science Courses Law Courses Digital Marketing Courses Mechanical Engineering Courses Explore all courses

    Popular Platforms

    upGrad Courses Udemy Courses Edx Courses Swayam Courses Coursera Courses Futurelearn Courses Mindmajix Technologies Courses Vskills Courses NPTEL Courses IIT Kharagpur Courses Emeritus Courses IIT Kanpur Courses Explore all platforms

    Learn more about the Courses

    10 Reasons to Enrol Yourself in a Digital Marketing Course 8 Must-Have Skills for AWS Cloud Architects Planning to Upskill Yourself? Enrol for a Program in Data Science 25+ Tips for Improving Your Graphic Design Skills Top Universities in India Offering Cyber Security Courses 15+ Courses for Learning Data Mining How to Make a Career in the Field of Artificial Intelligence Top 10 Benefits Of Holding A Certification In Business Intelligence Which are the best certification courses for Photography in India A Beginner's Guide to Pursue Python Programming Want to Pursue a Career in Blockchain Technology? Here is all that you need to Know How Entrepreneurs Can Use Machine Learning to Make their Business Successful? The Scope of Artificial Intelligence in India Top 10 Online Courses for Travel Lovers 10 Best Certification Courses After Hospital and Healthcare Management
    Providers
    Close

    Download the Careers360 App on your Android phone

    Regular exam updates, QnA, Predictors, College Applications & E-books now on your Mobile

    Careers360 App
    150M+ Students
    30,000+ Colleges
    500+ Exams
    1500+ E-books