Artificial Intelligence

For students interested in data science and artificial intelligence, BITSTRAININGS is offering a Artificial Intelligence course in Lahore.
Thorough this ‘Artificial Intelligence’ course covers all of the fundamentals of neural network-based models. Learn about learning mechanisms such as the need for and history of neural networks, gradient, forward propagation, loss functions, and their implementation using Python modules. Discover some fundamental principles about deep neural networks, as well as how to use Google’s powerful library Tensorflow, which includes pre-built Keras. We will thoroughly cover all theoretical and practical elements of this subject. Dig deeper into the mathematics underlying each idea to grasp its nuances. Finally, we will present a neural network model for classification utilizing the MNIST data set. 

What is the Importance of Artificial Intelligence?

The purpose of the Artificial Intelligence course is to augment human capabilities and assist us in making advanced judgments with far-reaching implications. It is the primary goal of AI from a technical standpoint. When we consider the significance of AI from a logical perspective, we can conclude that technology has the potential to enable humans to live more meaningful lives free of harsh labor. AI can also assist in managing the intricate web of interconnected individuals, businesses, states, and nations in order for them to function in a way that benefits all of humanity.
Currently, Artificial Intelligence refers to all of the various tools and approaches that we have developed over the previous thousand years in order to simplify human labor and assist us in making better decisions. Artificial intelligence is one such invention that will assist us in developing ground-breaking products and services that will massively change how we live our lives, hopefully reducing conflict, inequality, and human misery.

Levels of Artificial Intelligence:

Artificial Intelligence can be divided into three main levels:

Artificial Narrow Intelligence:

Artificial narrow intelligence, often known as narrow AI or weak AI, is goal-oriented and designed to do certain tasks. Although these robots appear to be intelligent, they operate with few constraints and are hence referred to as weak AI. It does not imitate human intelligence; rather, it promotes human behavior based on specific parameters. Narrow AI uses NLP, or natural language processing, to complete tasks. This can be seen in technology like chatbots and speech recognition systems like Siri. Deep learning helps you to customize user experiences, such as virtual assistants that save your data to improve your future experience.

Artificial General Intelligence:

Artificial general intelligence, also known as strong AI or deep AI, refers to the concept of machines mimicking human intelligence while demonstrating the ability to apply their intelligence to solve issues. Scientists have yet to acquire this degree of intelligence. Substantial research is required before this level of intelligence may be attained. Scientists would have to devise a method for computers to become sentient by programming a set of cognitive abilities.

Artificial Super-intelligence:

At the moment, super-intelligence is only a theoretical concept. Many believe that such artificial intelligence will be achievable in the future, but it does not exist in the present. Super-intelligence is the degree at which a machine surpasses human capabilities and becomes self-aware. This premise has served as the inspiration for countless films and science fiction novels in which machines capable of generating sentiments and emotions threaten humans. It would be able to create its own emotions and, in theory, be better than humans at art, athletics, arithmetic, science, and other disciplines. A super-decision-making intelligence’s ability would be greater than that of a human.

Skills:

– Perceptron
– ANN
– Gradient
– Backpropagation
– Activation Functions
– Softmax Function

What will you learn?

– Create deep learning-based applications to recognize and track objects using various techniques.
– Utilize neural networks, decision trees, and random forests to classify text and images into predetermined categories. – Build an AI that plays arcade games using deep reinforcement learning.
– Understand categorization and probabilistic predictions with Single-hidden-layer neural networks by learning the fundamentals of deep learning and artificial neural networks.
– Create a supervised model using various machine-learning algorithms; – Learn the principles of reinforcement learning in order to investigate the use of deep learning in signal processing.

Requirements:

1. A basic understanding of Python programming is required.
2. Basic knowledge of machine learning and little experience constructing AI applications

Who should take this course:

1. Python developers interested in working on neural networks and artificial intelligence and learning how to thrive in the world of big data.
2. Python developers who wish to get their feet wet in the area of artificial intelligence by working on simple projects.

Why BITS?

The goal of BITS Training is to educate people in the field of information technology. That is the future of the world, and if you want to advance in it, you must learn new technology. BITS Training ensures that more people may benefit from the sessions by offering them online. If you believe you will profit from the python artificial intelligence course in Muslim Town, enroll. The full course outline for the Python Artificial Intelligence Course is available on the website.