Foundations of Artificial Intelligence 2025
The Fundamental concepts of AI, including Descriptive Statistics, Machine learning fundamentals, and SQL skills.
Updated on Jun, 2025
Language - English
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.
Curriculum
Check out the detailed breakdown of what’s inside the course
Python IDE's and Google Collab (Python)
4 Lectures
-
Google Collab-Part 1
17:36
17:36
-
Google Collab-Part 2
04:43
04:43
-
Anaconda Installation
06:53
06:53
-
Jupyter notebook install
05:33
05:33
Python and it's importance in modern day
2 Lectures
Data Types
5 Lectures
Operators
3 Lectures
Expressions
1 Lectures
Simple if, if-Else, nested if-Else, if-Elif-Else
3 Lectures
Control structures: iterative control structures ( for and while loop )
4 Lectures
String indexing, accessing and strings using for loop
2 Lectures
Break and continue statements
1 Lectures
Functions and types of arguments
6 Lectures
Recursion
4 Lectures
Collections: lists list functions
5 Lectures
Collections: dictionary
4 Lectures
Collections: tuples and sets
8 Lectures
Data and statistics (Descriptive Statistics)
3 Lectures
Sample & population
1 Lectures
Sampling techniques
1 Lectures
Numerical (continuous and discrete) and categorical
1 Lectures
Measures of central tendency
1 Lectures
Measures of dispersion
1 Lectures
Important terminology
5 Lectures
Normal distribution & central limit theorem
1 Lectures
Correlation
1 Lectures
Z test t test anova and chi-squared test
8 Lectures
Statistical Model using Python
1 Lectures
Probability
2 Lectures
Supervised Learning (Machine Learning)
2 Lectures
Decision Tree
4 Lectures
Random Forest
4 Lectures
KNN
4 Lectures
SVM
4 Lectures
Neural Networks
1 Lectures
Ensemble Methods
1 Lectures
Unsupervised Learning
1 Lectures
Clustering
2 Lectures
Dimensionality Reduction using PCA
2 Lectures
Association Rules
5 Lectures
Introduction to DataBases (SQL)
1 Lectures
Installation
2 Lectures
Database schema
4 Lectures
String Functions
1 Lectures
Numeric and Temporal functions
1 Lectures
SQL functions
5 Lectures
SQL Joins
5 Lectures
Union
1 Lectures
Database normalization
3 Lectures
Clustered and non clustered index
1 Lectures
SQL views
4 Lectures
Instructor Details
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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