Post Graduate Program in Artificial Intelligence & Machine Learning
- Offered byGreat Learning
Post Graduate Program in Artificial Intelligence & Machine Learning at Great Learning Overview
Duration | 12 months |
Total fee | ₹2.50 Lakh |
Mode of learning | Online |
Official Website | Go to Website |
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
Post Graduate Program in Artificial Intelligence & Machine Learning at Great Learning Course details
Young professionals
Mid-senior professionals
Project Managers
Tech Leaders
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)
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
Introduction to Neural Networks
Introduction to Neural Networks
Natural Language Processing with Generative AI
Word Embeddings
Attention Mechanism and Transformers
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
Post Graduate Program in Artificial Intelligence & Machine Learning at Great Learning Faculty details
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