Executive Diploma in Machine Learning and AI
- Offered byupGrad
- Private Institute
- Estd. 2015
Executive Diploma in Machine Learning and AI at upGrad Overview
Duration | 13 months |
Start from | 31st Jan'25 |
Total fee | ₹3.35 Lakh |
Mode of learning | Online |
Official Website | Go to Website |
Course Level | PG Diploma |
Executive Diploma in Machine Learning and AI at upGrad Highlights
- Earn a diploma from NAAC A+ university IIIT Bangalore
- 60+ real-world case studies and 6 practical hands-on capstone projects
- Dedicated career and placement support
- Network & collaborate with 12,000+ alumni
- Fee can be paid in instalments
Executive Diploma in Machine Learning and AI at upGrad Course details
Exploratory Data Analysis and Inferential Statistics
Machine Learning Models
Neural Networks
Natural Language Processing (NLP)
Advanced Computer Vision Techniques
The Executive Diploma in Machine Learning and AI Learning offers a valuable opportunity for both newcomers and professionals aiming to transition into data-driven fields
The curriculum is designed to prepare learners for roles such as Machine Learning Engineer, Data Scientist, and Artificial Intelligence Engineer, with a strong significance on real-world applications and flexibility
This PG program in artificial intelligence and machine learning covers both foundational and advanced topics like natural language processing, neural networks, and reinforcement learning
With a hands-on approach, it ensures that you apply your knowledge to real-world challenges, preparing you for roles like AI Engineer and Machine Learning Specialist
Executive Diploma in Machine Learning and AI at upGrad Curriculum
Intro to Python
Prep :Data Analysis in Excel & Analytical Problem SolvingI
Intro to Python
Python for DS
SQL and Statistics Essentials
Data Visualization using Python
Exploratory Data Analysis
Basic and Advanced SQL
Lending Club: Case Study
Inferential Statistics
Machine Learning I
Linear Regression
Linear Regression Assignment
Logistic Regression
Naive Bayes
Model Selection
Machine Learning II
Advanced Regression
Tree Models
Random Forests
Boosting
Unsupervised Clustering
Principal Component Analysis
Deep Learning
Introduction to Neural Networks
Convolutional Neural Networks
Convolutional Neural Networks: Assignment
Recurrent Neural Networks
Natural Language Processing
Lexical Processing
Syntactic Processing
Syntactic Processing: Assignment
Semantic Processing
MLOps Elective
Prerequisite for MLOps
Introduction to MLOps”
Designing Machine Learning Systems
Experimenting with Data and Model using MLflow
Generative AI Elective
Introduction to Gen AI and working with OpenAI APIs
System Design and Building ShopAssist AI
Building Custom Chatbots with LLMs: Project
Advanced NLP - Introduction to Attention Mechanism and Transformers
Vision Transformers
Executive Diploma in Machine Learning and AI at upGrad Faculty details
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