Machine Learning Certificate Program

India's 1st Mentorship Driven Machine Learning Program

Machine Learning Certificate Program

  • Online learning
  • 7 months
Apply Now
Application deadline 13th Dec 2018

Why Join MLCP?

Great Lakes

certificate

Rated 4.6/5

by 95% participants

3 Million+

learning hours delivered

Ranked #1 in analytics education

Great Lakes' program has been ranked as the #1 in India for 4 years in a row!

66% successful transitions

66% of our alumni have transitioned to roles in analytics , data science and machine learning.

Weekend mentorship

MLCP is a mentorship-driven online program. Participants attend weekend mentorship sessions with Machine Learning experts and Data scientists.

Career support

Get access to Great Learning Machine Learning & Data Science Job board with regular postings from leading companies.

MLCP Learning Experience

Personalized learning

Each module has recorded content that is followed by a session with one of the 100+ distinguished industry mentors, in a small group of 5 participants. These mentors are thought leaders in different domains with several years of industry experience that enables them to impart practical knowledge and real-world insights.

Industry exposure sessions

Each week, participants get access to industry videos and webinars conducted by industry experts, in addition to the usual mentoring sessions. These resources provide insights into current industry trends & real-life business problems.

Experiential learning projects

An experiential learning project at the end of every module helps candidates internalize their understanding of the content consumed. Our coursework and practical assignments are designed to enable candidates to apply what they have learned during self-study and industry sessions.

Career enhancement sessions

The program includes career development sessions which help candidates identify their strengths and empower them to clear analytics interviews. Interacting with industry practitioners provides exposure and experience that helps them in transitioning to business analytics roles.

Program Structure

A 7-month structured online program with 7 hands-on projects and 130 hours of content and mentorship

Online content

Best-in-class recorded content from expert faculty and industry mentors

7 Hands-on projects

Practical assignments, case studies and instructor-led practice sessions on data sets

Weekend mentoring sessions

48 hours of personalised mentorship from machine learning & data science professionals working in leading companies

How Does Mentorship Work?

Participants are grouped in micro-classes & assigned an industry mentor

A group of 5 participants regularly connects during the weekends to engage in an interactive session with one of our 100+ distinguished industry mentors assigned to the group.

Participants attend live instructor-led online sessions over weekends

Participants are led by an instructor as they work on data sets to learn various analytics tools. All participant doubts are cleared as they work closely with their mentors on projects and assignments.

Mentors inspire and guide participants at each step of their learning

Our mentors go beyond concept walkthroughs, doubt clearing and projects, to help participants achieve their learning goals and also support them in their career transition in Analytics.

Great Lakes Certificate & ePortfolio

Earn a Great Lakes certificate and create an ePortfolio to showcase your learning & projects in a snapshot. Your certificate and ePortfolio can also be shared on social media channels to establish your credibility in Machine Learning.

Curriculum

Foundations
  • Statistical analysis concepts
  • Descriptive statistics
  • Introduction to probability and Bayes theorem
  • Probability distributions
  • Hypothesis testing & scores
  • Experiential learning project
  • Python Overview
  • Pandas for Pre-Processing and Exploratory Data Analysis
  • Numpy for Statistical Analysis
  • Seaborn for Data Visualization
  • Case Studies and careers
  • Experiential Learning project
Machine learning module
  • Introduction to Machine Learning
  • Supervised Learning concepts
  • Linear Regression
  • Logistic Regression
  • K-NN Classification
  • Naive Bayesian classifiers
  • SVM - Support Vector Machines
  • Experiential Learning project
  • Unsupervised Learning concepts
  • Clustering approaches
  • K Means clustering
  • Hierarchical clustering
  • Decision Trees
  • Introduction to Ensemble Learning
  • Different Ensemble Learning Techniques
  • Bagging
  • Boosting
  • Random Forests
  • Stacking
  • Experiential Learning project
  • PCA (Principal Component Analysis) and Its Applications
  • Text Analytics
  • Feature extraction
  • Model Defects & Evaluation Metrics
  • Model selection and tuning
  • Comparison of Machine Learning models
  • Experiential Learning project
  • Introduction to Recommendation Systems
  • Types of Recommendation techniques (Collaborative Filtering, Content based Filtering, Hybrid RS)
  • Case Study
  • Performance measurement
  • Experiential Learning project
Languages and tools

Python (Pandas, Numpy, Scipy, Matplotlib, Seaborn, Scikit-Learn)

Hands-on Projects

Work on real-world machine learning projects involving data from Amazon, Twitter & last.fm to enhance your portfolio

Best Machine Learning Faculty

Learn from leading academicians and experienced industry practitioners in the field of machine learning

Alumni Success Stories

66% career transitions within 6 months of graduation

Admission Details

Eligibility

  • done Bachelor's degree with a minimum of 50% aggregate marks or equivalent.
  • done Preference will be given to candidates with Engineering, Mathematics, Statistics, and Economics background.

Selection Process

Step 1

Fill application form

Apply by filling a simple online application form.

Step 2

Application review

The Admissions committee and faculty panel will review all the applications and shortlist candidates based on their profiles.

Step 3

Admission offer release

Offer will be made to selected applicants.

Fee Details

1,25,000 + GST

Fee Includes

Online Content

Tuition Fee

Learning Material

Mentorship Sessions

Payments

Candidates can pay the program fee through

account_balance
Net Banking
credit_card
Credit/Debit Cards
Cheque, DD

Financial Aid

Pay in 12 EMIs at 0% interest Rate with ZestMoney. Start learning at Rs. 9833/month!

Upcoming Application Deadline

13th Dec 2018

We follow a rolling admission process and admissions are closed once the requisite number of participants enroll for the upcoming batch. So, we encourage you to apply early and secure your seat.

Apply Now

Batch starts on To be announced

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