Artificial Intelligence
With the use of concepts such as ML, Python and Predictive Analysis, we dive into the domain of Artificial Intelligence. Learn more about AI with Teachnook’s exclusive Course courses.
Request a Callback
Artificial Intelligence
With the use of concepts such as ML, Python and Predictive Analysis, we dive into the domain of Artificial Intelligence. Learn more about AI with Teachnook’s exclusive Course courses.
Request a Callback
Minor and Major Projects
Weekly assignments and progress reports
20+ hours of live sessions
Certificate of completion
Minor and Major Projects
Weekly Assignments
20+ hours of live sessions
Certificate of completion
Request a Call Back
Overview
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
Course Curriculum
Introduction
- ML Fundamentals
- ML Common Use Cases
- Understanding Supervised and Unsupervised Learning Techniques
Clustering
- Similarity Metrics
- Distance Measure Types: Euclidean, Cosine Measures
- Creating predictive models
- Understanding K-Means Clustering
- Understanding TF-IDF, Cosine Similarity and their application to Vector Space Model
- Case study
Implementing Association Rule Mining
- What is Association Rules & its use cases?
- What is Recommendation Engine & it’s working?
- Recommendation Use-case
- Case study
Decision Tree Classifier
- How to build Decision trees
- What is Classification and its use cases?
- What is Decision Tree?
- Algorithm for Decision Tree Induction
- Creating a Decision Tree
- Confusion Matrix
- Case study
Random Forest Classifier
- What is Random Forests
- Features of Random Forest
- Out of Box Error Estimate and Variable Importance
- Case study
Support Vector Machines
- Case Study
- Introduction to SVMs
- SVM History
- Vectors Overview
- Decision Surfaces
- Linear SVMs
- The Kernel Trick
- Non-Linear SVMs
- The Kernel SVM
Feature Selection and Pre-processing
- How to select the right data
- Which are the best features to use
- Additional feature selection techniques
- A feature selection case study
- Preprocessing
- Preprocessing Scaling Techniques
- How to preprocess your data
- How to scale your data
- Feature Scaling Final Project
Introduction to Artificial Neural Networks
- The Detailed ANN
- The Activation Functions
- How do ANNs work & learn
- Gradient Descent
- Stochastic Gradient Descent
- Backpropogation
- Understand limitations of a Single Perceptron
- Understand Neural Networks in Detail
- Illustrate Multi-Layer Perceptron
- Backpropagation – Learning Algorithm
- Understand Backpropagation – Using Neural Network Example
- MLP Digit-Classifier using TensorFlow
- Building a multi-layered perceptron for classification
- Why Deep Networks
- Why Deep Networks give better accuracy?
- Use-Case Implementation
- Understand How Deep Network Works?
- How Backpropagation Works?
- Illustrate Forward pass, Backward pass
- Different variants of Gradient Descent
Certificates
Teachnook Certificate
Upon successfully completing this course, you will receive a certificate of completion that helps potential employers assess your proficiency.
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Pricing Plans
Self Paced
₹ 5500
Certificate for Course Completion
1 Minor and 1 Major project
Course Certificate
25+ hours of Video Content Access
6 Months LMS Access
16+ hours of Mentor Training
Mentor Led
₹ 7500
Certificate for Course Completion
1 Minor and 1 Major project
Course Certificate
25+ hours of Video Content Access
6 Months LMS Access
16+ hours of Mentor Training
Self Paced
₹ 5500
Certificate for Course Completion
1 Minor and 1 Major project
Course Certificate
25+ hours of Video Content Access
6 Months LMS Access
16+ hours of Mentor Training
Mentor Led
₹ 7500
Certificate for Course Completion
1 Minor and 1 Major project
Course Certificate
25+ hours of Video Content Access
6 Months LMS Access
16+ hours of Mentor Training
FAQs
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@teachnook.com 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.