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Post Graduate Program in Artificial Intelligence & Machine Learning 

  • Offered byGreat Learning

Post Graduate Program in Artificial Intelligence & Machine Learning
 at 
Great Learning 
Overview

Gain expertise in NLP, Generative AI, Machine Learning, Python and Deep Learning from UT faculty and industry professionals

Duration

12 months

Total fee

2.50 Lakh

Mode of learning

Online

Official Website

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Credential

Certificate

Post Graduate Program in Artificial Intelligence & Machine Learning
 at 
Great Learning 
Highlights

  • Earn a dual certification from UT Austin and Great Lakes
  • Personalised mentorship sessions
  • 11+ hands-on projects & 27+ tools
  • 1:1 personal assistance from a Program Manager
  • Doubt-Solving with Expert Industry mentors
  • Expert guidance to prepare for job roles with mock interviews, resume building, and e-portfolio review
  • Fee can be paid in instalments
Read more
Details Icon

Post Graduate Program in Artificial Intelligence & Machine Learning
 at 
Great Learning 
Course details

Who should do this course?

Young professionals

Mid-senior professionals

Project Managers

Tech Leaders

What are the course deliverables?

Generative AI 

Prompt Engineering 

MLOps

Hugging face

Machine Learning

Supervised & Unsupervised Learning

Reinforcement Learning

Python

Artificial Intelligence

Large Language Models (LLMs)

Model Evaluation & Tuning

Data Science & Machine Learning Frameworks

Natural Language Processing (NLP)

More about this course

This course equips beginners with Python basics, laying the foundation for AI and ML. It also covers Generative AI concepts, including ChatGPT and other AI tools, with practical demonstrations of their business applications

This course guides you to read, explore, manipulate, and visualize data to tell stories, solve business problems, and deliver actionable insights and business recommendations by performing exploratory data analysis using some of the most widely used Python packages

Post Graduate Program in Artificial Intelligence & Machine Learning
 at 
Great Learning 
Curriculum

Introduction to Python

Python Programming

Python for Data Science

Exploratory Data Analysis (EDA)

 

Machine Learning

Linear Regression

Decision Trees

K-means Clustering

 

Advanced Machine Learning

Bagging

Boosting
Model Tuning
 

Introduction to Neural Networks

Introduction to Neural Networks

Optimizing Neural Networks
 

Natural Language Processing with Generative AI

Word Embeddings

Attention Mechanism and Transformers

Large Language Models and Prompt Engineering
 

Introduction to Computer Vision

Image Processing

Convolutional Neural Networks

 

Model Deployment

Introduction to Model Deployment

Containerization

 

Introduction to SQL

Querying Data with SQL

Advanced Querying

Enhancing Query Proficiency

 

Applied Statistics

Inferential Statistics Foundations

Estimation and Hypothesis Testing

Common Statistical Tests

 

Advanced Machine Learning and MLOps

Model Interpretability

Introduction to DevOps and MLOps

Building ML Pipelines
Faculty Icon

Post Graduate Program in Artificial Intelligence & Machine Learning
 at 
Great Learning 
Faculty details

Dr. Kumar Muthuraman
Faculty Director, Center for Analytics and Transformative Technologies, McCombs School of Business, the University of Texas at Austin
Dr. Abhinanda Sarkar
Academic Director - Data Science & Machine Learning, Ph.D. from Stanford University, Ex-Faculty - MIT

Post Graduate Program in Artificial Intelligence & Machine Learning
 at 
Great Learning 
Entry Requirements

GraduationUp Arrow Icon
  • N/A
Conditional OfferUp Arrow Icon
  • Not mentioned

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Post Graduate Program in Artificial Intelligence & Machine Learning
 at 
Great Learning 

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