Careers360 Logo
Interested in this College?
Get updates on Eligibility, Admission, Placements Fees Structure
Compare

Quick Facts

Medium Of InstructionsMode Of LearningMode Of DeliveryFrequency Of Classes
EnglishSelf Study, Virtual ClassroomVideo and Text BasedWeekends

Course Overview

The Online Hands-on Machine Learning and Artificial Intelligence Program is a no-coding, no-programming course. But it is still totally lab-oriented, practical, and interactive. It aims to study analytics techniques using Machine Learning and enable students to employ it in their research, teaching, or other industrial contexts.

KNIME and H2O are the two tools you will learn to use with the Hands-on Machine Learning and Artificial Intelligence programme. The instructor will explain each step in a particular project/assignment and create a workflow for it on KNIME. You will then go through the steps and try to solve them yourself on your laptop. Whenever you have a doubt or question, you can ask the instructor in real-time. The results will become available to both you, and the instructor immediately afterward.

The Hands-on Machine Learning and Artificial Intelligence training sessions will go live between 2 PM and 5 PM on weekends. There will be six hours of training each week for five weeks, a total of 30 hours. Esteemed faculty from the Indian Institute of Technology (IITs) from across the country teach students the course.

The Highlights

  • Online course
  • FORE School of Management
  • 30-Hour training
  • Five-week course
  • Interactive lab-oriented programme
  • Practical assignments
  • Clarify doubts in real-time

Programme Offerings

  • Online Course
  • FORE School of Management Course
  • 30-Hour Training
  • Five-Week Course
  • practical assignments
  • Interactive lab-oriented programme
  • Clarify Doubts in Real-Time

Courses and Certificate Fees

Certificate AvailabilityCertificate Providing Authority
yesFSM Delhi
  • You must pay the fee in advance.
  • You can deposit the fee online, or pay via Local Cheque/Demand Draft.
  • If you are paying via DD, make it out to the “FORE School of Management” in New Delhi.

Online Hands-on Machine Learning and Artificial Intelligence Program fee structure

Course Title

Fee in INR

Online Hands-on Machine Learning and Artificial Intelligence Program

Rs. 12,000 (Plus 18% GST)


What you will learn

Machine learningKnowledge of Artificial Intelligence

After completing the Hands-on Machine Learning and Artificial Intelligence Certification Course, learners should be able to:

  • Discover the Structure of Data
  • Develop Predictive Analytics Models
  • Optimise the Performance of Models
  • Use Data Grouping/Clustering Techniques
  • Use Visual Analytics to Acquire Insights from Data

Who it is for

Anyone interested in becoming a Data Scientist can take the Online Hands-on Machine Learning and Artificial Intelligence Program. You could be a student from any discipline, a PhD scholar, a teacher, or a working professional.


Admission Details

Step 1: Click on the link, and access the Online Hands-on Machine Learning and Artificial Intelligence Program. You can also visit the FORE School of Management’s official website and search for it.

https://www.fsm.ac.in/online-hands-on-machine-learning-and-artificial-intelligence-program

Step 2: Scroll down, and you will find the ‘Register Now’ button towards the end of the page; click on it.

Step 3: Enter your details in the form and click on ‘Register Now’ again. 

Step 4: You will hear from a representative from the FORE School of Management. They will tell you how to proceed.

Application Details

After clicking on the ‘Register Now’ button, you will have to enter your full name, mobile number, email address, the name of your organisation in the form, and click on the ‘Register Now’ button again.

The Syllabus

  • K-Means Clustering
  • DB Scan Algorithm
  • Hierarchical Clustering
  • Expectation-Maximisation Algorithm
  • T-SNE Manifold Learning Technique

  • Ensemble Modelling Using Random Forest
  • Decision Trees
Gradient Boosting Techniques
  • XG Boost
  • AdaBoost
  • Gradient Boosting Learner
Handling Imbalanced Data
  • SMOTE 
  • ADASYN
Performance measures
  • Accuracy
  • Specificity
  • Sensitivity
  • F-Measure
  • Cohen’s Kappa
  • Precision and Recall
  • Area Under the Curve

  • Random Projections
  • Principal Component Analysis (PCA)

  • Neural Networks
  • Deep Learning Models Using the H2O

  • Detecting Anomalies Using Isolation Forests
  • PCA with Mahalanobis Distance
  • Auto-encoders

Instructors

FSM Delhi Frequently Asked Questions (FAQ's)

1: What hardware do I need for this course?

The hardware requirements for the FORE programme are a laptop with a minimum of 4 GB RAM.

2: What are the software requirements for this course?

You will be using KNIME and H2O. They are both open-source platforms you can download for free and install easily.

3: Is the timing fixed?

If the group is sufficiently large, they can negotiate and settle on a mutually convenient time.

4: Are classes held on weekdays?

No, the sessions take place on the weekends.

5: Do I need to pay the fee in advance?

Yes, you need to pay the fee in advance.

Articles

Download Careers360 App's

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

  • student
    250M+

    Students

  • colleges
    30,000+

    Colleges

  • exams
    500+

    Exams

  • ebook
    1500+

    E-Books

  • certification
    12000+

    Cetifications

student
Mobile Screen

We Appeared in

Back to top