Unlock a whole new dimension of learning!

Artificial Intelligence

Explore the exciting realm of Artificial Intelligence with cutting-edge tools.
Master concepts like Machine Learning, Python, and Predictive Analysis.
Learn to design intelligent systems that solve complex problems.
Shape the future with innovative AI solutions and technologies!

Get Started

Request a Callback

Request a callback now! Fill in your details and one of our academic counselors will contact you promptly.


10 live projects + 1 capstone project

Weekly tasks and reports

40+ hours of video content access

Certificate of completion
Overview

Learn Artificial Intelligence today

Artificial Intelligence is a developing and highly sought-after domain to specialise in. Build the foundation, enhance your proficiency in its fundamental topics, and learn to make the smartest computer systems, equipped with AI.

 
NLP
Predictive Analysis
Artificial Neural Networks
Association Rules
Loading..

Course Curriculum

Discover our comprehensive Artificial Intelligence course curriculum, designed to provide in-depth knowledge and practical skills

Introduction
  1. ML Fundamentals
  2. ML Common Use Cases
  3. Understanding Supervised and Unsupervised Learning Techniques.
  1. Similarity Metrics
  2. Distance Measure Types: Euclidean, Cosine Measures
  3. Creating predictive models
  4. Understanding K-Means Clustering
  5. Understanding TF-IDF, Cosine Similarity and their application to Vector Space Model
  6. Case study.
  1. What is Association Rules & its use cases?
  2. What is Recommendation Engine & it’s working?
  3. Recommendation Use-case
  4. Case study.
  1. How to build Decision trees
  2. What is Classification and its use cases?
  3. What is Decision Tree?
  4. Algorithm for Decision Tree Induction
  5. Creating a Decision Tree
  6. Confusion Matrix
  7. Case study.
  1. What is Random Forests
  2. Features of Random Forest
  3. Out of Box Error Estimate and Variable Importance
  4. Case study.
  1. Case Study
  2. Introduction to SVMs
  3. SVM History
  4. Vectors Overview
  5. Decision Surfaces
  6. Linear SVMs
  7. The Kernel Trick
  8. Non-Linear SVMs
  9. The Kernel SVM.
  1. How to select the right data
  2. Which are the best features to use
  3. Additional feature selection techniques
  4. A feature selection case study
  5. Preprocessing
  6. Preprocessing Scaling Techniques
  7. How to preprocess your data
  8. How to scale your data
  9. Feature Scaling Final Project.
  1. The Detailed ANN
  2. The Activation Functions
  3. How do ANNs work & learn
  4. Gradient Descent
  5. Stochastic Gradient Descent
  6. Backpropogation
  7. Understand limitations of a Single Perceptron
  8. Understand Neural Networks in Detail
  9. Illustrate Multi-Layer Perceptron
  10. Backpropagation – Learning Algorithm
  11. Understand Backpropagation – Using Neural Network Example
  12. MLP Digit-Classifier using TensorFlow
  13. Building a multi-layered perceptron for classification
  14. Why Deep Networks
  15. Why Deep Networks give better accuracy?
  16. Use-Case Implementation
  17. Understand How Deep Network Works?
  18. How Backpropagation Works?
  19. Illustrate Forward pass, Backward pass
  20. Different variants of Gradient Descent.
Loading..

Edu-Station Certificate

Upon successfully completing this course, you will receive a certificate of completion that helps potential employers assess your proficiency.

Pricing Plans

LExperience the premium features at an affordable price. Get industrial experience, 10+ live working projects and mentorship from top 1 percentile mentors and much more. Choose the plan that suits your needs and take your practical and outcome based learning to the next level. Join today and lead tomorrow.

Loading..
Register

FAQs

Explore our FAQ section for quick answers to common questions. Can’t find what you’re looking for? Contact us for assistance.

Are there any necessary prerequisites for this course?

No, there are no specific prerequisites for this course. The course is structured in a manner that covers the very basics of the topics as well. So if you’re a complete beginner, this is a great course to start with.

You’ll need a secure and stable internet connection on a well functioning device such as a laptop or mobile phone. We also recommend keeping a notepad and pen/pencil alongside to jot down notes.

You can get in touch with us via email – support@edustation.co.in or call us at the phone number provided in the ‘Contact Us’ section.

Some options are – Data Analyst, Natural Language Processing, AI Engineer, AI Researcher and User Experience.

seek, help, faq