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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery	Frequency Of Classes
English	Self Study, Virtual Classroom	Video and Text Based	Weekdays

Course Overview

The Online Programme on Big Data and AI Techniques by FORE School of Management aims to explore Big Data Analytics techniques and enable learners to apply it in their research work or teaching. The programme focuses more on practice than theory, and as such, learners will have to undertake several practical assignments.

The Online Programme on Big Data and AI Techniques Training is 40 hours long and spread across six weeks. Therefore, learners will have to devote around six hours to the programme each week. Classes are live on weekdays between 2 PM and 5 PM. They can also indulge in real-time interactions with the course educators, clarifying all their doubts and queries.

For the practical exercises that are part of the Online Programme on Big Data and AI Techniques Certification Syllabus, learners need laptops with at least 4 GB RAM. The student and the teacher will work on their respective laptops and simultaneously solve each assignment. Even though it is an online programme, the learning experience is as if the teacher and the students are in a laboratory working together.

The Highlights

Online Curriculum
KNIME workflow
Theoretical lessons
40-Hour Training
Six-Week Course
Practical Assignments
Interactive Programme
Clarifying Doubts in Real-Time
FORE School of Management

Programme Offerings

Online Course
40-Hour Training
Six-week Course
practical assignments
Interactive Programme
Clarify Doubts in Real-Time
FORE School of Management Course

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	FSM Delhi

Eligibility Criteria

As prerequisites for the Online Programme on Big Data and AI Techniques training, students must have a 4GB RAM laptop and complete the weekly practical exercises.

What you will learn

Machine learningKnowledge of Data VisualizationKnowledge of deep learning

After completing the Online Programme on Big Data and AI Techniques Training, learners should be thorough with:

Feature Importance and Data Visualization (Mosaic Plots, Parallel Coordinates, and T-SNE)
Supervised and Unsupervised Learning Techniques
Automated Machine Learning Using H2O
Regression and Classification
Deep Learning Techniques
Dimensionality Reduction
Anomaly Detection

Admission Details

Step 1: Clicking on this link will direct you to the Online Programme on Big Data and AI Techniques page on the FORE School of Management website.

https://www.fsm.ac.in/online-programme-on-big-data-and-ai-techniques

Step 2: Keep scrolling down till you find the ‘Enquire Now’ button; click on it.

Step 3: Enter your full name, the name of your organization, your email address, and mobile number, and again click on ‘Enquire Now’.

Step 4: A representative from the FORE School of Management will get in touch with you and give you further instructions.

Application Details

Initially, candidates will not have to fill out an application form. However, they must fill out an Enquiry Form to express their interest in the Online Programme on Big Data and AI Techniques certification course.

Aspirants need to enter their full name, email address, mobile number, and the organization name. A representative from the FORE School of Management will then get in touch with them, and give them further instructions.

The Syllabus

Kmeans clustering
Hierarchical clustering
DBScan algorithm
Expectation-Maximization algorithm
T-SNE manifold learning technique

Principal Component Analysis
Random Projections

Decision trees
Ensemble modeling using Random Forest
Gradient Boosting Techniques
- Adaboost
- Gradient Boosting Learner
- XGBoost
Handling imbalanced data—SMOTE and ADASYN
Performance measures:
- Accuracy
- Precision and Recall
- F-measure
- Area Under the Curve
- Cohen’s Kappa
- Sensitivity
- Specificity