Artificial Intelligence & Machine Learning Courses

All Artificial Intelligence & Machine Learning Courses

We found 8 courses available for you

Masters in AI & Machine Learning

150 hours
27 Lessons

Masters in AI & Machine Learning program is to become …

What you'll learn
Well Understanding of the meaning, purpose, scope, stages, applications, and effects of Artificial Intelligence.
Build and design your own intelligent agents, applying them to create practical Artificial Intelligence projects.
Skills to master the essential concepts of Python programming.
How to write your own Python scripts and perform basic hands-on data analysis using Jupyter notebook.
In-depth understanding of Data Science processes: data wrangling, data exploration, data visualization, hypothesis building, and testing.
Perform high-level mathematical and technical computing using the NumPy and SciPy packages and data analysis with the Pandas package.
Master the skill to understand the concepts of supervised and unsupervised learning models, including linear regression, logistic regression, clustering, dimensionality reduction, K-NN and pipeline, recommendation engine, and time series modeling.
Master your skills on advanced topics in Artificial Intelligence, like convolutional neural networks, recurrent neural networks, training deep networks, and high-level interfaces.

Natural Language Processing with Python

10 hours
41 Lessons

Natural Language Processing (NLP) is a fusion of ML, AI, …

What you'll learn
Understanding of how to use the Natural Language Tool Kit.
Be able to load and manipulate your own text data.
Know how to formulate solutions to text based problems.
Know when it is appropriate to apply solutions.

AI and ML Live Training

200 hours
82 Lessons

Do you know the difference between AI and machine learning? …

What you'll learn
Understand all the basic concepts of Artificial Intelligence and how it is applied
Dive deep into Reinforcement Learning
Navigate through Deep Learning
Understand about Convolutional Neural Network and Recurrent Neural Network

Virtual Reality Training

20 hours
22 Lessons

It’s a technology that combines the virtual-world & real-world by …

What you'll learn
How to handle and prevent VR sickness and motion issues.
How to set up the environment and view the key scripts and components necessary for building a VR app.
Learn about the different ways this information can be presented to a user.
About methods to improve performance and optimize a VR app.
How to create VR apps for this platform.

AI and ML with Python

20 hours
54 Lessons
All Levels

Learn the essential foundations of AI: the programming tools (Python, …

What you'll learn
Basics of Deep Learning techniques
Understanding artificial neural networks
Training a neural network using the training data
Convolutional neural networks and its applications
TensorFlow and Tensor processing units
Supervised and unsupervised learning
Machine Learning using Python
Robotic Process Automation
Applications of Deep Learning in image recognition, NLP, etc.

AI & ML Solutions with Java

20 hours
54 Lessons

In this online artificial intelligence training you will learn more …

What you'll learn
Learn the different machine learning techniques and implementations using Java libraries
Features and capabilities of Neuroph framework and Neural Networks
How you work with Neural Networks using Neuroph Framework
Implement advanced neural networks by using DL4j.

AI Development with TensorFlow Training

20 hours
86 Lessons
All Levels

Explore the concept of machine learning in TensorFlow, including TensorFlow …

What you'll learn
Learn best practices for using TensorFlow, a popular open-source machine learning framework
Build a basic neural network in TensorFlow
Train a neural network for a computer vision application
Understand how to use convolutions to improve your neural network

Artificial Intelligence Training

15 hours
59 Lessons

Artificial intelligence (AI) has been one of the core research …

What you'll learn
Building intelligent agents (search, games, logic, constraint satisfaction problems)
Solving AI problems through programming with Python
Supervised learning techniques for regression and classification
Unsupervised learning techniques for data modeling and analysis