Contact Info
198 West 21th Street, Suite 721
New York, NY 10010
+88 (0) 101 0000 000
Follow Us

Advanced Artificial Intelligence

Start your Artificial Intelligence journey by enrolling in this program and cover various concepts on Python, Statistics and Machine Learning.

Program Highlights

Why Choose Advanced Artificial Intelligence Program?

Interactive learning anywhere

Attend online classes led by our top-notch faculty from anywhere in the world. Ask questions, engage with your peers.

Project Based Education

Apply data analysis techniques to solve real-world problems & build machine learning models to solve industry grade data problems

Specialize through our electives

Specialize from a variety of electives including Advanced Machine Learning, Data Analytics with R, Deep Learning etc.

Industry Focus

Choose projects from Ecommerce, BFSI, Telecom, Retail & become a domain specialist in the application of data science & machine learning.


Real world datasets from companies like Nike, Yelp, Amazon, Netflix etc. are provided to our students

Career Centre

Exclusive Interview preparation guides, Career Support, Placement Opportunity and many more..!

Career Booster

Interview preparation guides, Extra sessions on cutting edge technologies

Real World Projects

Integrating real world projects to make your resume world class


Exclusive Resume Workshop session by an expert.

Placement Opportunity

Post assessment, we provide jobs and internships to qualified students In Tech Mahindra*


Our world-class faculty are experienced working professionals working in senior positions of top-tier companies

Program Snapshot

Batch Launch: 18th May 2019

DURATION: 18 weeks

Timings: Sat & Sun 11am - 1pm

Course Fee

INR 82500 (inc.taxes)

Free Industry Workshops & Bootcamps for registered students

1 Batch Launched, 100+ Active Students


What are you going to learn ?

Module 01: Introduction to Python

Module 02: Important Packages in Data Science (Numpy and Pandas)

Module 03: Charting Fundamentals with Matplolib and Seaborn

Module 04: Introduction to Probability and Distributions

Module 05: Hypothesis testing fundamentals

Module 06: Basics of Exploratory Data Analysis

Module 07: Introduction to Data Science

Module 08: Step into the world of Data Sciences

Module 09: Introduction to Machine Learning

Module 10: Linear and Logistic Regression

Module 11: Linear and Logistic Regression

Module 12: Decision Tree and Random Forest

Module 13: Boosting

Module 14: Support Vector Machin

Module 15: Stacking

Module 16: Unsupervised learning (Anomaly Detection)

Module 17: Research Methodology in Machine Learning

Module 18: PCA and LDA

Module 19: KNN

Module 20: Kmeans Clustering

Module 21: Market Basket Analysis

Module 22: Recommeder Systems

Module 5: Dimensionality Reduction (Matrix optimisation)

Module 6: Anomaly Detection

Module 25: Word window classification

Module 26: Introduction to Artificial Neural Networks

Module 27: Reccurent Neural Networks for Language modelling

Module 28: Gated Reccurent Units(GRUs), LSTMs

I am raw html block.
Click edit button to change this html

Module 31: Dynamic Memory Networks


All the courses are instructor-led and take place online. The online interface lets you and the faculty have a two-way interaction. It’s as good as sitting in a physical classroom.

All classes take place over the weekends in the mornings. There’ll be one class of 2 to 2.5 hours on Saturdays and Sundays each. This means that you can now acquire in-demand skills without compromising on your schedule.

Yes, the recordings of the trial classes are uploaded.

In physical classrooms, students generally feel hesitant to ask questions. If you miss any class or didn’t understand some concepts, you can’t go through the class again. However, in online courses, it’s possible to do that. We share the recordings of all our classes after each class with the student. Also, there’s no hassle of long distance commuting and disrupting your schedule.

We believe that unless you implement the concepts studied in the classes, you are unable to join the dots and hence can’t see the entire picture. Our capstone projects let you apply the learned concepts to real-world data sets. You’ll be working on real-time datasets (which can run in 100s of MBs or possibly in GBs!) which you get to choose from a variety of domains such as retail, finance, social media, healthcare, etc. These data-sets have been curated from top sources such as World Bank, US Health Department, Carnegie Mellon, Stanford and many more.

You’ll get access to our virtual computing lab through the login credentials provided to you. The virtual machines will enable you to work on “Big Data” sets for your projects and practice hands-on too.

We provide certification of completion to students who attend at least 70% of the classes. After the course ends, we conduct a certification exam that evaluates them on the skills they have learnt. Certification from Tech Mahindra is provided to only those who clear the exam. The exam is purely case-based and not even a single theory question is asked.

We provide career workshops and industry immersion sessions to help you become ready for roles you are aspiring for. We also help you in resume review and interview preparation. If you diligently follow our advice, you should start getting interview calls as soon as you finish the course.