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Quick Facts

Medium Of InstructionsMode Of LearningMode Of DeliveryFrequency Of Classes
EnglishSelf Study, Virtual ClassroomVideo and Text BasedWeekends

Course Overview

The Post Graduate Program in AI and Machine Learning course by Simplilearn is a 11-month virtual Bootcamp that revolves around machine learning’s real-world applications. Curated in partnership with the prestigious Purdue University, the curriculum offers pristine education and top-tier mentorship by renowned educators.

The Post Graduate Program in AI and Machine Learning covers ML and data science topics like python, data analytics, data wrangling, feature selection, time-series modelling, recommendation systems, etc. All these are delivered via hands-on projects, virtual classes, real-time datasets, and real-time industry projects. 

Undertaking the Post Graduate Program in AI and Machine Learning course, you will also get access to an elective masterclass by the Purdue faculty. The curriculum will also help you hone your skills in top tools like Seaborn, SciPy, Pandas, NumPy, Matplotlib, Plotly, Statsmodels, etc. Upon course completion, Simplilearn and Purdue University will grant you the Applied Machine Learning Program certificate. Plus, you can access Simplilearn’s JobAssist platform for career mentoring, resume-building, career fairs, and interview preparation.

The Highlights

  • Simplilearn and Purdue University’s programme
  • Course certificate awarded
  • Purdue University Alumni Association membership
  • Simplilearn’s JobAssist access
  • Purdue faculty’s masterclasses
  • Hands-on industry projects
  • Capstone project
  • 11-month online Bootcamp
  • Renowned programme advisor
  • Financing options available
  • Integrated labs/real-time datasets from BFSI/Healthcare industries

Programme Offerings

  • End-to-end projects
  • live online classes
  • Purdue University and Simplilearn’s certification
  • Capstone Project
  • job assistance
  • Renowned Faculty
  • Purdue’s masterclass
  • Industry Projects
  • Financing options
  • 8 hours weekly class

Courses and Certificate Fees

Certificate AvailabilityCertificate Providing Authority
yesPurdue University, West LafayetteSimplilearn

Eligibility Criteria

Educational qualification

To enrol in Simplilearn’s Post Graduate Program in AI and Machine Learning, you must be a Bachelor’s Degree-holder with an average of 50% marks or higher. A fundamental understanding of Mathematics and Programming concepts is also needed. Plus, if you have work experience between 0-3 years, it’s a bonus. 

Certificate qualifying details

To make yourself eligible for the Post Graduate Program in AI and Machine Learning by Purdue University, you must complete studying the course lectures, and then also complete a final project. Additionally, you are bound to receive Simplilearn certificates over your learning path for testification of machine learning skills.

What you will learn

Machine learningKnowledge of Python

The in-depth Post Graduate Program in AI and Machine Learning certification syllabus will develop your expertise in: -

  • Comprehending theoretical concepts and how they relate to ML’s practical aspects
  • Supervised and unsupervised learning’s concepts
  • Algorithms, principles, and ML applications 
  • Heuristic and statistical aspects of ML
  • Implementing models like Naive Bayes, support vector machines, random forest classifier, decision-tree classifier, K-means clustering, logistic regression, etc. in Python
  • Validating ML models and decoding accuracy metrics
  • Understanding past outcomes and predicting future ones via time-series modelling insights
  • Improving predictions, classification accuracy, and function approximations through ensemble learning
  • Advantages of recommendation systems

Who it is for

The Post Graduate Program in AI and Machine Learning by Simplilearn is ideal for working professionals and graduates alike looking to enhance their expertise in ML applications. Some of these candidates include:


Admission Details

  • Follow this link: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course to reach the Applied Machine Learning Program portal. 
  • Click the ‘Enrol Now’ icon. 
  • Confirm the payment details and proceed to enter your information in the on-screen application.
  • Provide the completed application and a brief SOP (statement of purpose). 
  • If Simplilearn’s admissions counsellors review and accept your application, they’ll send the admission offer letter to you.
  • Pay the course fee to accept admission.

Application Details

The Applied Machine Learning Program application form will need your full name, active email ID, contact number, and state of residence. Once done, Simplilearn’s admission panel will review your application. If eligible, you’ll receive the admission offer letter.

The Syllabus

  • Lesson 1 - introduction
  • Lesson 2 - population or sample data
  • Lesson 3 - fundamentals of descriptive statistics
  • Lesson 4 - measures of asymmetry, variability, and central tendency
  • Lesson 5 - practical example: descriptive statistics
  • Lesson 6 - distributions
  • Lesson 7 - estimates and estimators
  • Lesson 8 - confidence intervals: advanced topics
  • Lesson 9 - practical example: inferential statistics
  • Lesson 10 - hypothesis testing: introduction
  • Lesson 11 - hypothesis testing: let’s start testing!
  • Lesson 12 - practical example: hypothesis testing
  • Lesson 13 - fundamentals of regression analysis
  • Lesson 14 - subtleties of regression analysis
  • Lesson 15 - assumptions for linear regression analysis
  • Lesson 16 - dealing with categorical data
  • Lesson 17 - practical example: regression analysis

  • Lesson 1 - Python basics
  • Lesson 2 - data operations
  • Lesson 3 - functions and conditional statements
  • Lesson 4 - file operations and error handling
  • Lesson 5 - Django and shell scripting

  • Lesson 1 - introduction to data science
  • Lesson 2 - data wrangling
  • Lesson 3 - feature engineering
  • Lesson 4 - exploratory data analysis
  • Lesson 5 - feature selection

  • Lesson 1 - introduction to machine learning
  • Lesson 2 - supervised learning: classification and regression
  • Lesson 3 - random forest and decision trees
  • Lesson 4 - unsupervised learning
  • Lesson 5 - time-series modelling
  • Lesson 6 - ensemble learning
  • Lesson 7 - recommendations systems

Instructors

Purdue University, West Lafayette Frequently Asked Questions (FAQ's)

1: How much time requirement does this course entail?

This is a 11-month programme. 

2: Can I undertake this Applied Machine Learning Program training offline?

No, the course is delivered in the online Bootcamp format only.

3: Is the Purdue masterclass compulsory?

No. The Purdue University masterclass is optional.

4: Will the Applied Machine Learning Program help me learn NumPy and SciPy?

Yes, the curriculum covers multiple tools, including SciPy and NumPy.

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