Special Offer: Minimum 50% off on all courses till 25 Sept 2020

Course Overview

Associate Certification Program in Artificial Intelligence is a 3 months intensive job-oriented learning program designed to help you gain a robust understanding of Artificial Intelligence. Through this Associate in Artificial Intelligence certification program, you will gain knowledge in Python, Machine Learning Advanced, Deep Learning concepts etc. On successful course completion, you will learn the major tools on Artificial Intelligence and you will be confident enough to solve any real time artificial intelligence problems.

Key Highlights of the program

  • 3 months intensive training
  • Practical hands-on sessions
  • 10+ hands-on projects + 1 Capstone
  • One-on-One doubt clarification
  • Classroom as well as Live Online Classes
  • Lifetime access to self-paced learning

Course Advantage

Learning - Blended to Perfection

Solve real-world problems with hands on practicals via Industry based projects and detailed personalised feedback.

Personalized Mentorship

Receive guidance from Industry experts with one-on-one feedback on submissions of assignments.

Career Assistance

Build you resume, prepare for mock interviews and setup online portfolio with placement updates.


The program is aimed at candidates who:
  • has either completed or pursuing a Bachelor's degree with a minimum of 50% aggregate marks or equivalent.
  • are comfortable using a programming language
  • are familiar with college-level mathematics and statistics


  • Introduction to Artificial Intelligence
  • Roles of an AI Research Scientist / AI Engineer
  • Applications of Artificial Intelligence
  • Introduction to Python
  • Python Environment setup and Python essentials
  • Python Fundamentals
  • Datatypes with Python
  • Basic Operators in Python
  • Decision Making and Loops
  • Functions and Classes
  • Quizes and Assignments
  • Introduction to Python tools for AI and ML
  • Mathematical Computation using Numpy
  • Numpy Array Computations
  • Numpy In-Depth
  • Scientific Computing using SciPy
  • SciPy sub package
  • SciPy In-Depth
  • Data Manipulations using Pandas
  • Series and DataFrame operations using Pandas
  • Data Pre-processing using Pandas
  • Pandas SQL operations
  • Data Visualization
  • Matplotlib
  • Seaborn
  • Quizes and Assignments
  • Fundaments of Statistical Analysis
  • Basic Terminologies in Statistics
  • Branches of Statistics
  • Variables
  • Quantitative vs Qualitative
  • Statistical Case Studies
  • Measures
  • Hypothesis Testing
  • Quizes and Assignments
  • Introduction to Distributions
  • Normal Distribution
  • Central Limit Theorem
  • Normalization
  • Bernoulli and Poisson Distributions, etc
  • Normality Testing
  • Skewness
  • Kurtosis
  • Measure of Distance
  • Euclidean, Manhattan and Minkowski
  • Quizes and Assignments
  • Introduction to Machine Learning
  • Applications of Machine Learning
  • Supervised vs Unsupervised
  • Batch vs Online
  • Modelling ML
  • Machine Learning Algorithms
  • Quizes and Assignments
  • Univariate Linear Regression
  • Multivariate Linear Regression
  • Linear Discriminant Analysis
  • Logistic Regression
  • K-Nearest Neighbors (KNN)
  • Learning Vector Quantization
  • Support Vector Machine (SVM)
  • Naive Bayes Classifier
  • Quizes and Projects
  • K-Means Clustering
  • Association Rule Learning
  • Apriori Algorithm
  • Quizes and Projects
  • Decision Trees
  • Random Forest
  • Adaboost
  • Gradient Boost
  • XG Boost
  • Quizes and Projects
  • Introduction to Recommendation systems
  • Content based recommendation systems
  • Popularity based model
  • Collaborative filtering
  • Hybrid models
  • Quizes and Projects
  • Introduction to Text Analytics and NLP
  • Statistical NLP
  • Sequential NLP
  • NLTK in Python
  • Tokenization
  • Text Cleaning
  • Stemming and Lemmatization
  • Sentiment Analysis
  • Quizes and Projects
  • Introduction to Deep Learning
  • Introduction to Perceptrons
  • Introduction to Artificial Neural Networks
  • Working of Neural Networks
  • Hyper parameter Tuning
  • Gradient Descent
  • Backpropagation
  • Activation Functions
  • Quizes and Assignments
  • TensorFlow Basics
  • TensorFlow Architecture
  • TensorFlow Functions
  • Single Layer Perceptron
  • Multiple Layer Perceptron
  • Quizes and Assignments
  • Deep Learning using Keras
  • Creating an Artificial Neural Networks(ANN)
  • Convolutional Neural Networks(CNN)
  • Recurrent Neural Networks(RNN)
  • Autoencoders
  • Quizes and Assignments
  • Introduction to OpenCV
  • OpenCV tools and functions
  • Setting Camera Parameters
  • Handling Events
  • Face detection using OpenCV
  • Image Recognition
  • Quizes and Assignments
  • Final Capstone Project

Certification Programs

We will be providing certificate after completion of the course and based on the course credits.

Associate Certification Program

Associate Certification Programs are job-oriented training programs designed to help you gain a robust understanding of fundamental concepts with real time projects.

Master Certification Program

Master Certification Programs are designed to get in-depth knowledge. You will learn advanced new concepts and skills which will make you an expert on the area of study.

Assisted Learning Formats

In each format, course content and modules will remain same. It gives more flexibility for learning to almost anyone, regardless of their scheduling commitments.

Live Instructor-led Sessions

  • For students preferring online classes
  • Live interaction with mentors for doubt resolutions
  • Get recorded videos of the missed sessions
  • Classes on either weekdays or weekends
  • Maximum 10 Students in a batch

Classroom Sessions

  • For students preferring classroom training
  • Individual personalized doubt resolution with expert mentors
  • Get recorded videos of the missed sessions
  • Classes on either weekdays or weekends
  • Maximum 10 Students in a batch

Facts that Make us Unique

Expert Mentors

Receive high quality guidance from industry experts and teaching assistants on the respective courses. Get one-on-one feedback on submissions of projects.

Industry case Studies

Work on real time industry problems via sponsored projects with detailed personalised feedback and guidance from the mentors.

Interview preparation

Practice mock tests and mock interviews and get familiarized with commonly asked interview questions that will help you crack any technical interview. Use your ePortfolio created with the guidance of our instructors to showcase your skills and improve your chances of getting hired.

Lifetime Content Access

Get lifetime access to self-paced learning materials.

Doubt Resolution

Timely doubt resolution by peers and mentors. Get personalised expert feedback on assignments and projects.

Student Support

Get 24x7 support related to any queries or technical issues. Get personalized support from the mentors on task related issues.

Career and Placement Support

With 100% Placement Assisstance from us, get ready for the job market by taking mock interviews, resume preparation and real time projects and assignments.

Get Hired Faster

Get regular notifications on job openings and interviews from our placement team until you get placed in a company. Get mentorship and guidance for interview preparation.

Hands on Projects

Our trainig methodology is completely practical based. Learn by working on real time projects and case studies from Uber, Amazon, Walmart labs, etc.

Interview Scheduling

Our placement team will be sending your updated resume to the recruiters and consultants till you find a suitable position in a company.

Resume Building

Our training and placement team will help you out in building your resume with real time projects as per the industry standards.

Watch the Intro

What our learners have to say ...

Our Alumni Work for Amazing Companies

Our programs are designed to give you the skills you need to be successful in your career.


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