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Foundations of Artificial Intelligence 2025

person icon GreyCampus Inc.

4.5

Foundations of Artificial Intelligence 2025

The Fundamental concepts of AI, including Descriptive Statistics, Machine learning fundamentals, and SQL skills.

updated on icon Updated on Jun, 2025

language icon Language - English

person icon GreyCampus Inc.

category icon Development ,Data Science,Artificial Intelligence

Lectures -136

Resources -4

Quizzes -1

Duration -18 hours

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Course Description

Welcome to the "Foundations of Artificial Intelligence" course! This journey will take you through the essential concepts and techniques that form the backbone of artificial intelligence. This course is meticulously designed to equip learners with foundational skills and knowledge required for understanding and applying AI in various contexts.

In this course, you'll start with an introduction to Python, one of the most versatile programming languages in the AI domain. We'll guide you through the fundamental concepts of AI, including descriptive statistics, machine learning fundamentals, and SQL skills. You'll gain hands-on experience in implementing both supervised and unsupervised learning algorithms, preparing you for advanced AI courses and applications.

Tailored for students and professionals seeking to enter the field of AI, this course aims to build a strong foundation in artificial intelligence concepts and techniques. You will learn to write and understand Python code for data analysis and manipulation, utilize descriptive statistics to summarize and interpret data, and implement basic machine learning algorithms. Additionally, you will acquire SQL skills to query databases and extract meaningful insights. By the end of this course, you will be well-prepared for advanced AI studies and real-world applications, equipped with the essential knowledge and practical experience to confidently tackle AI challenges.

Goals

  • Python Proficiency: Write and understand Python code, and use it for data analysis and manipulation.

  • Descriptive Statistics: Apply statistical concepts to summarise and interpret data effectively.

  • Machine Learning Fundamentals: Gain a foundational understanding of machine learning concepts, with hands-on experience in implementing both
    supervised and unsupervised learning algorithms.

  • SQL Skills: Use SQL to query databases, extract meaningful insights, and manipulate data.

  • AI Readiness: Have the foundational knowledge required to pursue advanced AI courses and applications.

Prerequisites

  • Fundamental computer skills: Comfort with installing and using software.

  • Basic understanding of Python programming.

  • Essential math and statistics knowledge.

Foundations of Artificial Intelligence 2025

Curriculum

Check out the detailed breakdown of what’s inside the course

Python IDE's and Google Collab (Python)

4 Lectures
  • play icon Google Collab-Part 1 17:36 17:36
  • play icon Google Collab-Part 2 04:43 04:43
  • play icon Anaconda Installation 06:53 06:53
  • play icon Jupyter notebook install 05:33 05:33

Python and it's importance in modern day

2 Lectures
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Data Types

5 Lectures
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Operators

3 Lectures
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Expressions

1 Lectures
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Simple if, if-Else, nested if-Else, if-Elif-Else

3 Lectures
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Control structures: iterative control structures ( for and while loop )

4 Lectures
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String indexing, accessing and strings using for loop

2 Lectures
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Break and continue statements

1 Lectures
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Functions and types of arguments

6 Lectures
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Recursion

4 Lectures
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Collections: lists list functions

5 Lectures
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Collections: dictionary

4 Lectures
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Collections: tuples and sets

8 Lectures
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Data and statistics (Descriptive Statistics)

3 Lectures
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Sample & population

1 Lectures
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Sampling techniques

1 Lectures
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Numerical (continuous and discrete) and categorical

1 Lectures
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Measures of central tendency

1 Lectures
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Measures of dispersion

1 Lectures
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Important terminology

5 Lectures
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Normal distribution & central limit theorem

1 Lectures
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Correlation

1 Lectures
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Z test t test anova and chi-squared test

8 Lectures
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Statistical Model using Python

1 Lectures
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Probability

2 Lectures
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Supervised Learning (Machine Learning)

2 Lectures
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Decision Tree

4 Lectures
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Random Forest

4 Lectures
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KNN

4 Lectures
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SVM

4 Lectures
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Neural Networks

1 Lectures
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Ensemble Methods

1 Lectures
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Unsupervised Learning

1 Lectures
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Clustering

2 Lectures
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Dimensionality Reduction using PCA

2 Lectures
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Association Rules

5 Lectures
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Introduction to DataBases (SQL)

1 Lectures
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Installation

2 Lectures
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Database schema

4 Lectures
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String Functions

1 Lectures
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Numeric and Temporal functions

1 Lectures
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SQL functions

5 Lectures
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SQL Joins

5 Lectures
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Union

1 Lectures
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Database normalization

3 Lectures
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Clustered and non clustered index

1 Lectures
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SQL views

4 Lectures
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Instructor Details

GreyCampus Inc.

GreyCampus Inc.

About me

GreyCampus helps people power their careers through skills and certifications. We believe continuous upskilling and certifications is key to sustained success in your career. While older skills are fast becoming less relevant, need for newer in-demand skills is growing exponentially. We believe if you stay skilled, you will stay ahead.


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