7 Free Complete Artificial Intelligence Video Tutorials
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7 Free Artificial Intelligence Video Tutorials

In this post, We list out 7 handpicked Artificial Intelligence video tutorials from YouTube where each AI video tutorial is more than 4 hours in duration and having millions of views. We always encourage learners to utilize video tutorials that are thorough and cover the fundamentals completely. The collection contains tutorials worth of more than 53 hours.

Why AI is Important in 2021

In this collection, we have listed video tutorials based on the contents in such a way that if you to start from the beginning, you can start in the below sequential order to have comprehensive knowledge in the field of artificial intelligence. These AI tutorials cover core concepts of Artificial Intelligence, Machine Learning, Deep Learning, Python and other libraries and frameworks with hands on practical’s.

#1 – Artificial Intelligence Tutorial for Beginners by Edureka

This video tutorial will provide you with a comprehensive and detailed knowledge of Artificial Intelligence concepts with hands-on examples.

Following topics are covered in this AI tutorial

  • 00:00 Introduction
  • 02:27 History Of AI
  • 06:45 Demand For AI
  • 08:46 What Is Artificial Intelligence?
  • 09:50 AI Applications
  • 16:49 Types Of AI
  • 20:24 Programming Languages For AI
  • 27:12 Introduction To Machine Learning
  • 28:08 Need For Machine Learning
  • 31:48 What Is Machine Learning?
  • 34:13 Machine Learning Definitions
  • 37:26 Machine Learning Process
  • 49:13 Types Of Machine Learning
  • 49:21 Supervised Learning
  • 52:00 Unsupervised Learning
  • 53:44 Reinforcement Learning
  • 55:29 Supervised vs Unsupervised vs Reinforcement Learning
  • 58:23 Types Of Problems Solved Using Machine Learning
  • 1:04:49 Supervised Learning Algorithms
  • 1:05:17 Linear Regression
  • 1:11:20 Linear Regression Demo
  • 1:26:36 Logistic Regression
  • 1:35:36 Decision Tree
  • 1:55:18 Random Forest
  • 2:07:31 Naive Bayes
  • 2:14:37 K Nearest Neighbour (KNN)
  • 2:20:31 Support Vector Machine (SVM)
  • 2:26:40 Demo (Classification Algorithms)
  • 2:42:36 Unsupervised Learning Algorithms
  • 2:42:45 K-means Clustering
  • 2:50:49 Demo (Unsupervised Learning)
  • 2:56:40 Reinforcement Learning
  • 3:24:36 Demo (Reinforcement Learning)
  • 3:31:41 AI vs Machine Learning vs Deep Learning
  • 3:33:08 Limitations Of Machine Learning
  • 3:36:32 Introduction To Deep Learning
  • 3:38:36 How Deep Learning Works?
  • 3:40:48 What Is Deep Learning?
  • 3:41:50 Deep Learning Use Case
  • 3:43:14 Single Layer Perceptron
  • 3:50:56 Multi Layer Perceptron (ANN)
  • 3:52:55 Backpropagation
  • 3:54:39 Training A Neural Network
  • 4:01:02 Limitations Of Feed Forward Network
  • 4:03:18 Recurrent Neural Networks
  • 4:05:36 Convolutional Neural Networks
  • 4:09:00 Demo (Deep Learning)
  • 4:29:02 Natural Language Processing
  • 4:30:53 What Is Text Mining?
  • 4:32:43 What Is NLP?
  • 4:33:26 Applications Of NLP
  • 4:35:53 Terminologies In NLP
  • 4:41:19 NLP Demo
  • 4:47:21 Machine Learning Masters Program

Tutorial Length: 04 Hours & 53 Minutes

#2 – Artificial Intelligence Full Course by SimpleLearn

This video tutorial on Artificial Intelligence Course helps you understand the basics of artificial intelligence. This also covers the future of AI, some of the industry experts view on AI and what they have to say about AI. You will see the top 10 applications of AI in 2021. Then, you will understand about Machine Learning and Deep Learning and the different algorithms used to build AI models. Finally, you will learn the Top 10 Artificial Intelligence Technologies In 2021

Following topics are covered in this AI video tutorial

  • 00:00:00 Artificial Intelligence  in 5 min
  • 00:05:59 Future Of Artificial Intelligence
  • 00:13:20 Artificial Intelligence Application 2021
  • 00:25:38 Should we be afraid of Artificial Intelligence
  • 00:38:21 What is Artificial Intelligence
  • 00:48:13 Machine Learning Part 1
  • 01:21:57 Linear Regression Analysis
  • 01:41:34 Decision Tree
  • 01:58:12 Machine Learning Part 2
  • 02:51:14 KNN algorithm Using Python
  • 03:17:40 Mathematics For Machine Learning
  • 05:07:53 Deep Learning Tutorial
  • 05:52:46 TensorFlow 2.0 Tutorial for Beginners
  • 07:18:44 Top 10 Artificial Intelligence Technologies in 2021

Tutorial Length: 07 Hours & 28 Minutes

#3 – AI Full Course for Beginners in 9 Hours by Clever Programmer

In this tutorial, following projects are covered

  • 00:03:02 – Face Detector App
  • 02:08:42 – Self Driving Car App
  • 04:11:47 – Smile Detector App
  • 06:47:03 – TensorFlow Image Classifier App

Tutorial Length: 08 Hours & 58 Minutes

#4 – Artificial Intelligence Course by Intellipaat

In this artificial intelligence tutorial you will learn end to end about ai and it’s vast domain. So this artificial intelligence course is an exhaustive tutorial for you to get started with AI

Following topics are covered in this video

  • 0:00 – Artificial Intelligence tutorial
  • 01:41 – Dartmouth conference
  • 04:23 – What is Artificial Intelligence
  • 07:30 – Timeline of Artificial Intelligence
  • 19:00 – Types of Artificial Intelligence
  • 21:47 – What makes Artificial Intelligence, Intelligent?
  • 24:42 – Fun fact about Artificial Intelligence
  • 26:03 – Dark Side of Artificial Intelligence
  • 27:15 – Myths vs Facts of Artificial Intelligence
  • 30:30 – Domains of Artificial Intelligence
  • 32:50 – Final thoughts on Artificial Intelligence
  • 33:26 – What is Intelligence?
  • 34:35 – What makes Humans Intelligent?
  • 35:45 – Difference between AI & Ml & Deep Learning
  • 38:05 – Machine Learning real time Applications
  • 41:05 – What is Machine Learning
  • 41:40 – How does Machine Learn?
  • 42:45 – Types of Machine Learning
  • 49:33 – Machine Learning Algorithms
  • 50:04 – Limitations of Machine Learning
  • 51:40 – Introduction to Deep Learning
  • 54:05 – Application of Deep Learning
  • 55:15 – How deep Learning Works?
  • 56:34 – What is a Neural Network?
  • 57:25 – Artificial Neural Network(ANN)
  • 58:35 – Topology of a Neural Network
  • 59:28 – How do Neurons work?
  • 01:00:03 – Artificial Neurons in detail
  • 01:01:07 – How does the Perceptron work?
  • 01:02:00 – Concept of weights
  • 01:02:25 – Why do we need Activation Functions?
  • 01:04:00 – Types of Activation Functions
  • 01:06:47 – Training a Perceptron
  • 01:07:49 – Perceptron Training Algorithm
  • 01:08:38 – Benefits of using Artificial Neural Network
  • 01:10:24 – Deep Learning Frameworks
  • 01:13:55 – What are Tensors?
  • 01:14:53 – Computational Graph
  • 01:15:51 – Program Elements in TensorFlow
  • 01:16:15 – Working on constants in Jupiter note book
  • 01:24:10 – Working on Placeholders in Jupiter note book
  • 01:30:12 – Working on Variables in Jupiter note book
  • 01:36:34 – Introduction to Neural Networks in Jupiter notebook
  • 02:23:55 – Multi layer Perceptron Architecture
  • 03:09:40 – Working in TensorFlow
  • 04:21:18 – Convolutional Neural Network (CNN)
  • 05:08:23 – Demo on CNN
  • 06:19:34 – Face Recognition Project in Artificial Intelligence

Tutorial Length: 06 Hours & 29 Minutes

#5 – Artificial Intelligence Course For Working Professionals by Intellipaat

In this Artificial Intelligence Full Course video, you will learn end to end about AI and ML its vast domain. So this Artificial Intelligence video covers all the topics of AI and ML along with Machine Learning projects, Artificial Intelligence projects, and interview questions is an exhaustive tutorial for you to get started with AI. This AI & ML Course for Beginners is a must-watch video for everyone who wishes to learn AI and make a career in it.

Tutorial Length: 07 Hours & 29 Minutes

#6 – Artificial Intelligence and Machine Learning For Beginners by Intellipaat

In this Artificial Intelligence and Machine Learning For Beginners video, you will learn end to end about AI and ML its vast domain. So this Artificial Intelligence Machine Learning video covers all the topics of AI and ML along with Machine Learning projects, Artificial Intelligence projects and interview questions is an exhaustive tutorial for you to get started with AI. This AI & ML Course for Beginners is a must-watch video for everyone who wishes to learn AI and make a career in it.

The following topics are covered in this video

  • 0:00 – Introduction
  • 01:31 – Why Artificial Intelligence?
  • 07:06 – What is Intelligence?
  • 09:10 – Difference between AI, ML, & DL
  • 11:38 – Machine Learning around You!
  • 14:39 – Introduction to Machine Learning
  • 16:24 – Machine Learning Types
  • 24:12 – Machine Learning Algorithms
  • 25:34 – Limitations of Machine Learning
  • 26:12 – Introduction to Deep Learning
  • 29:06 – Applications of Deep Learning
  • 29:43 – How Does Deep Learning Work?
  • 33:03 – What is Neural Network?
  • 38:47 – Artificial Neurons
  • 02:05:43 – Why do we Need Activation Functions?
  • 02:06:16 – Types of Activation Functions
  • 02:40:24 – Benefits of Using Artificial Neural Networks
  • 02:41:41 – Perceptron Training Algorithm
  • 02:42:35 – Deep Learning Frameworks
  • 02:45:21 – TensorFlow
  • 02:48:04 – Keras
  • 02:52:49 – PyTorch
  • 02:55:01 – DL4J
  • 02:58:00 – MXNet
  • 03:00:00 – What are Tensors?
  • 03:02:59 – Computational Graph
  • 03:05:38 – Program Elements in TensorFlow
  • 03:23:43 – Use Case 1
  • 03:31:30 – Multi-layer Perceptron
  • 03:33:04 – Use Case 1: Solution
  • 03:43:39 – Backpropagation Algorithm
  • 04:27:23 – Problem Statement
  • 05:54:25 – What is Fraud?
  • 05:55:12 – Types of Frauds
  • 05:55:55 – Rule-Based Approach for Fraud Detection
  • 05:57:23 – Data Science for Fraud Detection
  • 06:01:17 – Challenges of Fraud Detection Model
  • 06:56:50 – Comparison AI vs ML.
  • 07:05:03 – When to use: AI or ML?
  • 07:06:38 – Why do we need Artificial Intelligence?
  • 07:08:57 – Artificial Intelligence Developers
  • 07:17:17 – Step by Step Guid: AI Developer
  • 07:22:55 – AI Developer: Job Descriptions
  • 07:24:34 – AI Developer: Average Salary
  • 07:25:21 – Artificial Intelligence Interview Questions

Tutorial Length: 08 Hours & 22 Minutes

#7 – Machine Learning Full Course – Learn Machine Learning 10 Hours by Edureka

This Edureka Machine Learning Full Course video will help you understand and learn Machine Learning Algorithms in detail. This Machine Learning Tutorial is ideal for both beginners as well as professionals who want to master Machine Learning Algorithms

Below are the topics covered in this Machine Learning Tutorial for Beginners video

  • 00:00 Introduction
  • 2:47 What is Machine Learning?
  • 4:08 AI vs ML vs Deep Learning
  • 5:43 How does Machine Learning works?
  • 6:18 Types of Machine Learning
  • 6:43 Supervised Learning
  • 8:38 Supervised Learning Examples
  • 11:49 Unsupervised Learning
  • 13:54 Unsupervised Learning Examples
  • 16:09 Reinforcement Learning
  • 18:39 Reinforcement Learning Examples
  • 19:34 AI vs Machine Learning vs Deep Learning
  • 22:09 Examples of AI
  • 23:39 Examples of Machine Learning
  • 25:04 What is Deep Learning?
  • 25:54 Example of Deep Learning
  • 27:29 Machine Learning vs Deep Learning
  • 33:49 Jupyter Notebook Tutorial
  • 34:49 Installation
  • 50:24 Machine Learning Tutorial
  • 51:04 Classification Algorithm
  • 51:39 Anomaly Detection Algorithm
  • 52:14 Clustering Algorithm
  • 53:34 Regression Algorithm
  • 54:14 Demo: Iris Dataset
  • 1:12:11 Stats & Probability for Machine Learning
  • 1:16:16 Categories of Data
  • 1:16:36 Qualitative Data
  • 1:17:51 Quantitative Data
  • 1:20:55 What is Statistics?
  • 1:23:25 Statistics Terminologies
  • 1:24:30 Sampling Techniques
  • 1:27:15 Random Sampling
  • 1:28:05 Systematic Sampling
  • 1:28:35 Stratified Sampling
  • 1:29:35 Types of Statistics
  • 1:32:21 Descriptive Statistics
  • 1:37:36 Measures of Spread
  • 1:44:01 Information Gain & Entropy
  • 1:56:08 Confusion Matrix
  • 2:00:53 Probability
  • 2:03:19 Probability Terminologies
  • 2:04:55 Types of Events
  • 2:05:35 Probability of Distribution
  • 2:10:45 Types of Probability
  • 2:11:10 Marginal Probability
  • 2:11:40 Joint Probability
  • 2:12:35 Conditional Probability
  • 2:13:30 Use-Case
  • 2:17:25 Bayes Theorem
  • 2:23:40 Inferential Statistics
  • 2:24:00 Point Estimation
  • 2:26:50 Interval Estimate
  • 2:30:10 Margin of Error
  • 2:34:20 Hypothesis Testing
  • 2:41:25 Supervised Learning Algorithms
  • 2:42:40 Regression
  • 2:44:05 Linear vs Logistic Regression
  • 2:49:55 Understanding Linear Regression Algorithm
  • 3:11:10 Logistic Regression Curve
  • 3:18:34 Titanic Data Analysis
  • 3:58:39 Decision Tree
  • 3:58:59 what is Classification?
  • 4:01:24 Types of Classification
  • 4:08:35 Decision Tree
  • 4:14:20 Decision Tree Terminologies
  • 4:18:05 Entropy
  • 4:44:05 Credit Risk Detection Use-case
  • 4:51:45 Random Forest
  • 5:00:40 Random Forest Use-Cases
  • 5:04:29 Random Forest Algorithm
  • 5:16:44 KNN Algorithm
  • 5:20:09 KNN Algorithm Working
  • 5:27:24 KNN Demo
  • 5:35:05 Naive Bayes
  • 5:40:55 Naive Bayes Working
  • 5:44:25Industrial Use of Naive Bayes
  • 5:50:25 Types of Naive Bayes
  • 5:51:25 Steps involved in Naive Bayes
  • 5:52:05 PIMA Diabetic Test Use Case
  • 6:04:55 Support Vector Machine
  • 6:10:20 Non-Linear SVM
  • 6:12:05 SVM Use-case
  • 6:13:30 k Means Clustering & Association Rule Mining 
  • 6:16:33 Types of Clustering
  • 6:17:34 K-Means Clustering
  • 6:17:59 K-Means Working
  • 6:21:54 Pros & Cons of K-Means Clustering
  • 6:23:44 K-Means Demo
  • 6:28:44 Hierarchical Clustering
  • 6:31:14 Association Rule Mining
  • 6:34:04 Apriori Algorithm
  • 6:39:19 Apriori Algorithm Demo
  • 6:43:29 Reinforcement Learning
  • 6:46:39 Reinforcement Learning: Counter-Strike Example
  • 6:53:59 Markov’s Decision Process
  • 6:58:04 Q-Learning
  • 7:02:39 The Bellman Equation
  • 7:12:14 Transitioning to Q-Learning
  • 7:17:29 Implementing Q-Learning
  • 7:23:33 Machine Learning Projects
  • 7:38:53 Who is a ML Engineer?
  • 7:39:28 ML Engineer Job Trends
  • 7:40:43 ML Engineer Salary Trends
  • 7:42:33 ML Engineer Skills
  • 7:44:08 ML Engineer Job Description
  • 7:45:53 ML Engineer Resume
  • 7:54:48 Machine Learning Interview Questions

Tutorial Length: 09 Hours & 38 Minutes

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