AI & MACHINE LEARNING INTRODUCTION
6 modules
English
Lifetime access
<p>This 10 week, 40 hour program (3 - 6 hours per week) exposes students ( <strong><em>cohorts for grade 10th upwards school students and undergraduate / postgraduate students</em></strong> ) to fundamentals of <strong><em>Statistics, Python, AI and Machine Learning</em></strong> concepts. A course completion and internship certificate (meeting requirements) is available to all participants. The program is run online and prior coding experience is not mandatory. </p> <p><a href="/s/courses/62050bc50cf2dbac177f6e38/images/AI for Students Latest.pdf" target="_blank"><strong>Download Brochure</strong></a></p> <p><strong>Batches Starting : Coming Soon</strong></p> <p><strong>Duration :</strong> 10 weeks ( 3 - 6 hours weekly )</p>
Overview
This 10 week, 40 hour program (3 - 6 hours per week) exposes students ( separate cohorts for grade 10th upwards school students and undergraduate students ) to fundamentals of AI and Machine Learning concepts, and guides them to a capstone project. The program is run online. No prior coding experience is mandatory, however exposure will be helpful. Cohorts will be formed as per programming experience to facilitate equal learning and fast track for advanced learners.
A certification of completion will be made available on successful completion of the course to all participants. This program opens up opportunities for internships and for research based projects for profile building & college admission applications.
Coverge of the program includes the following
Module 1
Unit 1: Introduction to AI & Data Science
Unit 2: Statistics Overview
Unit 3: Probability theory
Unit 4: Research Methodology
Module 2
Unit 5: Introduction to Python
Unit 6: Data types, operations and variables
Unit 7: Conditions, functions & Loops
Unit 8: Lists, Strings, Tuples and Dictionaries
Module 3
Unit 9: Introduction to Machine Learning
Unit 10: Hands on Case Study with Regression
Unit 11: Hands on Case Study with Classification
Unit 12: Introduction to Neural Networks & Deep Learning
Module 4
Unit 13: Introduction to Natural Language Processing
Unit 14: Bag of Words Models
Unit 15: Embedding based Models
Unit 16: Implementing a Recommender System
Module 5
Unit 17: Introduction to Computer Vision
Unit 18: Convolutional Neural Networks
Unit 19: Hands on for Computer Vision
Unit 20: Latest Developments in AI (Open AI, GPT etc.)
Module 6
Capstone Project
An optional virtual internship certification can be received by sucessfully completing the CAPSTONE project requirements.
Most importantly helps explore and build the essential skills for emerging careers like Data Science, AI, Business Analytics , Actuarists, Algo trading, Health Analytics etc.
Modules
Module 1: The Basics Of Data Science
4 attachments
Unit 1: Introduction to AI & Data Science
Unit 2: Statistics Overview
Unit 3: Probability theory
Unit 4: Research Methodology
Module 2: Getting Started With Python
4 attachments
Unit 5: Introduction to Python
Unit 6: Data types, operations and variables
Unit 7: Conditions, functions & Loops
Unit 8: Lists, Strings, Tuples and Dictionaries
Module 3: Machine Learning Overview
4 attachments
Unit 9: Introduction to Machine Learning
Unit 10: Hands on Case Study with Regression
Unit 11: Hands on Case Study with Classification
Unit 12: Introduction to Neural Networks & Deep Learning
Module 4: Natural Language Processing
4 attachments
Unit 13: Introduction to Natural Language Processing
Unit 14: Bag of Words Models
Unit 15: Embedding based Models
Unit 16: Implementing a Recommendation System
Module 5: Computer Vision & The Frontiers of AI
4 attachments
Unit 17: Introduction to Computer Vision
Unit 18: Convolutional Neural Networks
Unit 19: Hands on for Computer Vision
Unit 20: Latest Developments in AI (Open AI, GPT etc.)
Module 6 : Capstone Project
1 attachment
Submission Requirements
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₹ 30000.00
₹75000
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