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Artificial Intelligence with Python

Free AI with Python Course for Beginners

Name: Artificial Intelligence with Python
Rating: 4.57 (921 reviews)

4.57

★

61.4K+ Learners

Intermediate

Learn Artificial Intelligence with Python from basics in this free online training. This free AI with Python course is taught hands-on by experts. Learn about neural networks, Perceptron, Loss Function. Best for Beginners.

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Artificial Intelligence with Python

Provided by

Great Learning Academy

(on JAN XXXX)

What you learn in Artificial Intelligence with Python ?

Perceptron

ANN

Gradient

Backpropagation

Activation Functions

Softmax Function

About this Free Certificate Course

Take a free course on Artificial Intelligence with Python and learn the fundamentals of AI. Learn how to use Python to create intelligent systems, explore machine learning algorithms, and apply AI techniques to real-world problems.

This course will introduce you to Python programming for Artificial Intelligence, with a few demonstrated samples. It shall begin with comprehending the history of Neural Networks. It shall imbibe in you the knowledge of the difference between a biological neuron and an artificial neuron, Perceptron and working mechanism, architecture of ANN, different functions such as activation, softmax, its forward propagation, and loss as you follow the first half of the course. The second part engages you by demonstrating tasks using the Keras framework, propagation and gradient descent, and an application study on the MNIST data set. You will also understand the working of Tensorflow 2.0 in the course. Take up the quiz at the end of the course to test your skills and evaluate your gains to avail of the certificate.

After this free, self-paced, intermediate’s guide to Artificial Intelligence with Python, you can enroll in the Artificial Intelligence courses and embark on your career with the professional Post Graduate certificate and learn different concepts in depth with millions of aspirants worldwide!

Course Outline

History behind neural networks

This module will introduce you to the history of neural networks, the early experiments, limitations, and how ANN evolved to build almost every technology that is in use today.

Relationship between biological neuron and artificial neuron

You will understand the supervised learning technique, ANN, and learn how it differs from the biological neural system. In this section, you will also learn why artificial neural networks are dependent on biological neurons to perform a few crucial tasks, along with understanding dense neural networks.

Perceptron and working mechanism

You will understand the mathematical model of biological neurons in this module. As you follow this module, you will also understand how an artificial neuron mimics the biological neuron and the mechanism to do so.

Architecture of artificial neural network

You will understand different elements in artificial neural networks, different layers, and their functionalities in this section. The section briefly discusses how each layer contributes to processing the data to produce accurate output.

Types of activation functions

At the beginning of this section, you will understand what classification is and why it is performed in ANN. You will then understand regression, ANN with respect to Perceptron, and the functions that make the building blocks of ANN as you follow the module.

Our course instructor

Prof. Mukesh Rao

Director- Data Science

104.6K+ Learners

8 Courses

Prof. Mukesh Rao is an Adjunct Faculty at Great Lakes for Big Data and Machine Learning. Mukesh has over 20 years of industry experience in Market Research, Project Management, and Data Science. Mukesh has conducted over 100 corporate trainings. Data Science training covers all the stages of CRISP DM, tools and techniques used in each stage, machine learning algorithms and their application. Big Data training covers core Apache Hadoop technologies including HDFS, YARN, Map Reduce, PIG, HIVE, SQOOP, FLUME, SPARK and MongoDB.

What our learners say about the course

Find out how our platform helped our learners to upskill in their career.

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Artificial Intelligence with Python

With this course, you get

Free lifetime access

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7.5 Hours

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Frequently Asked Questions

What are the prerequisites required to learn the Artificial Intelligence with Python course?

Artificial Intelligence with Python is an intermediate-level course, and you can begin the course with good knowledge of computer science. You will also have to do a little homework to boost your learning, so we suggest you learn the basics of Deep Learning and Neural Networks before starting this course.

Which language is the best for AI?

The Python for Artificial Intelligence free certificate course is a 7.5-hours long course. You can learn it at your convenience since the course is self-paced.

Will I have lifetime access to this free course?

Yes, once you enroll, you will have lifetime access to this Great Learning Academy's free course. You can log in and learn at your leisure.

What are my next learning options after this Artificial Intelligence with Python course?

Once you complete this free course, you can opt for a PG Program in Artificial Intelligence that will help advance your career growth in this leading field.

Is it worth learning Artificial Intelligence with Python?

Yes, it is beneficial to learn Artificial Intelligence with Python. Artificial Intelligence being one of the leading technologies in the world today, the market for AI and ML professionals only grows every day. If you are thorough with Python programming, then it serves as a one-stop to carry out all the tasks in Keras and Tensorflow.