Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery | Frequency Of Classes |
|---|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based | Weekends |
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 Availability | Certificate Providing Authority |
|---|---|
| yes | FSM 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
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)
The hardware requirements for the FORE programme are a laptop with a minimum of 4 GB RAM.
You will be using KNIME and H2O. They are both open-source platforms you can download for free and install easily.
If the group is sufficiently large, they can negotiate and settle on a mutually convenient time.
No, the sessions take place on the weekends.
Yes, you need to pay the fee in advance.