Free Artificial Intelligence Courses

AI, abbreviated as Artificial Intelligence, is the simulation of human intelligence in machines programmed to think and copy their actions.  Artificial intelligence includes concepts like essentials of statistics for Data Science, python programming, machine learning. It is applied in a wide range of industries such as healthcare, transportation, insurance, transport, logistics, and customer services. This is an ever-evolving career sector of computer science and will reach heights by 2025 and beyond.

Reactive machines, limited memory, theory of mind, and self-awareness are the most popular types of AI available. This branch of computer science deals with building smart machines that mimic human actions. Siri, Alexa, self-driving cars, Robo advisers, conversational bots, mail spam filters, online recommendations, etc. Symbolic, deep learning, bayesian networks, and evolutionary algorithms are the approaches used to work with AI.

This AI free course will you help you understand the meaning, purpose, scope, stages, applications, and effects of AI helps you to design and build your own intelligent agents, applying them to create practical AI projects, including games, machine learning models, logic constraint satisfaction problems, knowledge-based systems, probabilistic models, and agents decision-making functions. This will help you master the essential concepts of python programming, including data types, tuples, lists, dicts, basic operators, and functions. You will learn to write your own python scripts and perform basic hands-on data analysis using Jupyter notebook. You will gain an in-depth understanding of Data Science processes like data wrangling, data exploration, data visualization, hypothesis building, and testing.

This free AI course offered to you by Great Learning will help you learn how to use python libraries like NumPy, SciPy, Scikit learns, machine learning techniques like supervised learning and unsupervised learning, advanced concepts that cover artificial neural networks (ANN), and layers of data abstraction and TensorFlow. It will take you through a live session on concepts ranging from basic level like essentials of statistics required for Data Science, Python programming, and Machine learning to advanced concepts like artificial neural networks, TensorFlow. This course will also guide you to master advanced concepts like convolution neural networks, recurrent neural networks, training deep networks, and high-level interfaces. You will understand the concepts of TensorFlow, its main functions, operations, and the execution pipeline. This certificate course is designed to give you in-depth knowledge of Artificial Intelligence.