AI Foundations for Students and Beginners

For College students, beginners, and entry-level professionals

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MODE
Online/ e-LMS

TYPE
Self Paced

LEVEL
Beginners

DURATION
3 Weeks

About

This course, AI Foundations for Students and Beginners, is an 8-week program that provides a solid introduction to artificial intelligence (AI). It is perfect for students or those starting out, who want to understand AI concepts, machine learning (ML), and learn programming using Python. By the end, learners will have the skills to apply AI in real-world situations.

Program Structure

Module 1: Machine Learning and AI Basics (2 Weeks)

Intro to AI, its branches (ML, Deep Learning, NLP)
How AI is used in industries
Key concepts: supervised vs unsupervised learning, classification, regression
Simple AI models using Python and Scikit-learn
Case studies from different industries

Module 2: Python Programming for AI (2 Weeks)

Learn Python basics for AI programming
Setting up Python and Jupyter Notebooks
Python basics: data types, loops, functions
Introduction to NumPy and Pandas for data manipulation
Coding exercises to get comfortable

Module 3: Natural Language Processing (NLP) (2 Weeks)

Understanding NLP and how machines process language
Working with text data and preprocessing
Basic NLP models: tokenization, stemming, lemmatization
Using libraries like NLTK and spaCy
Project: Analyze customer reviews with sentiment analysis

Module 4: Scikit-learn for Machine Learning (2 Weeks)

Introduction to Scikit-learn
Building models like Decision Trees, K-Nearest Neighbors, and Linear Regression
Measuring performance with accuracy, precision, recall
Project: Predict student performance based on previous data

Participant’s Eligibility

College students keen on starting a career in AI.
Beginners or entry-level professionals wanting to understand AI basics.
Anyone seeking hands-on experience with Python and ML.
People interested in real-world AI applications.

Program Outcomes

By the end of this program, you will:

Have a solid understanding of AI and ML basics.
Be proficient in Python programming for AI.
Know how to process and analyze text data for NLP tasks.
Be able to build and evaluate machine learning models.
Gain practical experience solving real-world problems using AI.

Fee Structure

We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!

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Key Takeaways

Program Assessment

Certification to this program will be based on the evaluation of following assignment (s)/ examinations:

Exam	Weightage
Mid Term Assignments	50 %
Project Report Submission (Includes Mandatory Paper Publication)	50 %

To study the printed/online course material, submit and clear, the mid term assignments, project work/research study (in completion of project work/research study, a final report must be submitted) and the online examination, you are allotted a 1-month period. You will be awarded a certificate, only after successful completion/ and clearance of all the aforesaid assignment(s) and examinations.