Applied Artificial Intelligence

Offered byLearntube

Applied Artificial Intelligence
at
Learntube
Overview

Duration	10 hours
Mode of learning	Online
Official Website	Go to Website
Credential	Certificate

Applied Artificial Intelligence

Table of content

Overview
Highlights
Course Details
Curriculum

Applied Artificial Intelligence
at
Learntube
Highlights

Earn a certificate after completion of course

Applied Artificial Intelligence
at
Learntube
Course details

More about this course

The course "Applied Artificial Intelligence" provides a comprehensive understanding of AI and its practical applications

You will learn about the fundamental concepts of artificial intelligence, including its types and the increasing demand for AI technology

The course covers machine learning, deep learning, natural language processing (NLP), computer vision, and various algorithms and tools used in these fields

By the end of the course, you will have hands-on experience with machine learning and deep learning algorithms, be able to build and train neural networks, work with NLP techniques, and develop computer vision applications

This course equips you with the knowledge and skills to apply AI in real-world scenarios and opens up exciting career opportunities in the field of artificial intelligence

Introduction To Applied Artificial Intelligence

What is Applied AI
What is Artificial Intelligence
Types of Artificial Intelligence
Roadmap To Learn AI in 2024
Interesting Tools Created Using AI
Career Opportunities In Artificial Intelligence

Hands on ML

AI vs Machine Learning vs Deep Learning
Programming Languages For AI
Introduction To Machine Learning
Need For Machine Learning
What Is Machine Learning
Machine Learning Definitions
Machine Learning Process
Mathematics For Machine Learning
Types Of Machine Learning
Supervised vs Unsupervised vs Reinforcement Learning
Types Of Problems Solved Using Machine Learning

Comprehensive ML

Supervised Learning Algorithms
Linear Regression
Linear Regression Analysis
Linear Regression Demo
Logistic Regression
Decision Tree
Random Forest
Naive Bayes
K Nearest Neighbour (KNN)

Learning Algorithms

Support Vector Machine (SVM)
Demo (Classification Algorithms)
Unsupervised Learning Algorithms
K-means Clustering
Demo (Unsupervised Learning)
Reinforcement Learning
Demo (Reinforcement Learning)
Limitations Of Machine Learning

Hands on DL

Introduction To Deep Learning
How Deep Learning Works
Deep Learning Use Case
Single Layer Perceptron
Multi Layer Perceptron (ANN)
Backpropagation
Training A Neural Network
Limitations Of Feed Forward Network
Recurrent Neural Networks
Convolutional Neural Networks
Deep Learning Tutorial