Artificial Intelligence & ML

In today’s world of disruptive technologies, Artificial Intelligence and Machine Learning have conquered almost every Industry. Learn and gain expertise in this emerging technology in the field of AI and ML – particularly Deep learning, to remain relevant and progressive. This specialization also packs a good blend of the quintessential leadership and team management skills in this virtual age.
Enroll Now

₹ 21,500

Duration

127 Hours

Courses

13 Courses

Validity

9 Months

Mode of Delivery

Online, Self-paced, Blended, Interaction with SME

Course Level

  • Beginner ( ) – 5
  • Intermediate ( ) – 7
  • Advanced ( ) – 1

Accreditation

Coursera Project Network
Georgia Institute of Technology
IBM
University of California, Irvine
University of Washington
Overview

In today’s world of disruptive technologies, Artificial Intelligence and Machine Learning have conquered almost every Industry. Learn and gain expertise in this emerging technology in the field of AI and ML – particularly Deep learning, to remain relevant and progressive. This specialization also packs a good blend of the quintessential leadership and team management skills in this virtual age.


Skills Gained:

Artificial Intelligence (AI) Machine Learning Feature Engineering Statistical Hypothesis Testing Exploratory Data Analysis Regression Analysis Linear Regression Ridge Regression Decision Tree Ensemble Learning Classification Algorithms Supervised Learning Machine Learning (ML) Algorithms Principal Component Analysis (PCA) Reinforcement Learning Unsupervised Learning Cluster Analysis Time Series K Means Clustering Python Programming Data Clustering Algorithms K-Means Clustering K-D Tree Dimensionality Reduction Artificial Neural Network Clustering Segmentation Visualization Communication Public Speaking Professional Presentation Task Management Management Planning
Curriculum

Modules



  • A Brief History of Modern AI and its Applications

  • Retrieving Data, Exploratory Data Analysis, and Feature Engineering


Modules



  • Introduction to Supervised Machine Learning and Linear Regression

  • Data Splits and Cross-Validation

  • Regression with Regularization Techniques: Ridge, LASSO, and Elastic Net


Modules



  • Logistic Regression

  • K Nearest Neighbors

  • Support Vector Machines

  • Decision Trees

  • Ensemble Models

  • Modeling Unbalanced Classes


Modules



  • Introduction to Unsupervised Learning and K Means

  • Selecting a clustering algorithm

  • Dimensionality Reduction


Modules



  • Introduction to Neural Networks

  • Neural Network Optimizers and Keras

  • Convolutional Neural Networks

  • Recurrent Neural Networks and Long-Short Term Memory Networks

  • Deep Learning with Autoencoders

  • Deep Learning Applications and Reinforcement Learning


Modules



  • Introduction to Time Series Analysis

  • Stationarity and Time Series Smoothing

  • ARMA and ARIMA Models

  • Deep Learning and Survival Analysis Forecasts


Modules



  • Welcome

  • Regression: Predicting House Prices

  • Classification: Analyzing Sentiment

  • Clustering and Similarity: Retrieving Documents

  • Recommending Products

  • Deep Learning: Searching for Images


Modules



  • Introduction

  • Nearest Neighbor Search

  • Clustering with k-means

  • Mixture Models

  • Mixed Membership Modeling via Latent Dirichlet Allocation

  • Hierarchical Clustering & Closing Remarks


Modules



  • Communicate in Person: The Power of Face to Face Connections

  • Meet and Talk Online

  • Powerful Phone Talk

  • Keys to a Strong Interview

  • Put It All Together: Presentations


Modules



  • Communication Across Cultures

  • Email Excellence

  • Presentation - Time to Shine

  • Maximize Your English Communication Skills


Modules



  • Difference between productive and unproductive work

  • Whether work/life balance is a myth and completes a work/life balance toolkit

  • Importance of timing and how to handle communications

  • Exploring focus as a competitive advantage and the idea of multitasking. 


Career Opportunities


  • Lead Data Scientist - Artificial Intelligence & Machine Learning

  • Software Engineer, Machine Learning


Who Should Attend


  • Freshers and early professionals looking to upskill

  • Working professionals looking to enter New Age Technologies


Course Instructor(s)

KRACKiN Advantage

KRACKiN provides a holistic approach to preparing you for your dream job!
Student Journey

Frequently Asked Questions

Where can I find courses on the Platform?

After login to KRACKiN(www.krackin.com), you can find courses on the dashboard which are segregated as skill courses, career tracks and also Annual Membership.consisting of 75000 + courses. You can enroll to any of the courses available by selecting the ‘Buy Now’ button.
Can I search courses domain wise on the platform?

Yes, Skill courses and Annual Membership plans are segregated domain wise. You can enter your domain and search for the desired courses.
Is online classes available for all the courses on KRACKiN?

No, online classes are not available for all courses on KRACKiN. Courses are designed as self- paced learning courses supported by videos, PPTs and practice quizzes etc. are provided for easy understanding of the students.
Are the course certificates valid?

Yes, the certificates are valid across all the sectors in the Industry.
Can I access your courses on Mobile device?

Yes, you can access the courses on your mobile browser.
Can my course access be extended?

We recommend you complete your assigned courses within the stipulated time as we do not have the provision to extend the course validity.
How to get my certificate after completing the course?

After the completion of all the given modules, the certificate will be auto generated by the system.

Our Learners Work At

Content & Certification Partners


About KRACKiN