Introduction to Artificial Intelligence
Artificial Intelligence Free Certificate Course
Step into the world of AI with this free Introduction to Artificial Intelligence course. Get familiar with the basics of AI, NLP, and computer vision and comprehend neural networks and deep neural networks in detail.
What you learn in Introduction to Artificial Intelligence ?
About this Free Certificate Course
This introductory course on Artificial Intelligence is the best fit for beginners who wants to comprehend What Artificial Intelligence is from scratch. The free course starts by giving you an overview of AI and the domains it is directly connected to. Learn neural networks and understand how artificial neural networks are interconnected with biological neurons, and gain knowledge on deep neural networks. Understand Natural Language Processing (NLP) better with the help of sentiment analysis and chatbot examples.
Comprehend the basics of computer vision and understand various crucial tasks involved. Enhance your practical knowledge of AI and computer vision with the help of image classification, face recognition and video and traffic analytics examples. Complete all the modules along with a quiz at the end of this Artificial Intelligence free course and earn a free certificate of course completion.
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Course Outline
This module briefly introduces you to Artificial Intelligence. Understand what artificial intelligence is and all the domains where it has a stronghold.
Learn in detail about Neural Networks, the special part of Machine Learning that connects to Artificial Intelligence. Comprehend computer versions of Artificial Neural Networks along with biological neurons and how they are interconnected. Also, get an in-depth understanding of deep neural networks.
Get introduced to Natural Language processing in detail through this module. Understand what NLP is and its current need in industries. Comprehend it better with the two popular examples of sentiment analysis and chatbot.
This module will help you understand computer vision from the basics. You will comprehend the term better with the help of examples and understand the tasks it includes, like image classification, segmentation, video analysis, and more.
This module enhances your practical knowledge of computer vision and Artificial Intelligence through examples of image classification, face recognition, and video and traffic analytics.
Our course instructor
Dr. Abhinanda Sarkar
Faculty Director, Great Learning
Dr. Sarkar’s publications, patents, and technical leadership have been in applying probabilistic models, statistical data analysis, and machine learning to diverse areas such as experimental physics, computer vision, text mining, wireless networks, e-commerce, credit risk, retail finance, engineering reliability, renewable energy, and infectious diseases, His teaching has mostly been on statistical theory, methods, and algorithms; together with application topics such as financial modeling, quality management, and data mining.
Dr. Sarkar is a certified Master Black Belt in Lean Six Sigma and Design for Six Sigma. He has been visiting faculty at Stanford and ISI and continues to teach at the Indian Institute of Management (IIM-Bangalore) and the Indian Institute of Science (IISc). Over the years, he has designed and conducted numerous corporate training sessions for technology and business professionals. He is a recipient of the ISI Alumni Association Medal, IBM Invention Achievement Awards, and the Radhakrishan Mentor Award from GE India
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1.0 Hours
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Frequently Asked Questions
What prerequisites are required to learn this Artificial Intelligence free course?
Enrolling in this Introduction to Artificial Intelligence free course requires no prerequisites, and it is specifically designed for beginners to learn it from scratch.
How long does it take to complete this free Introduction to Artificial Intelligence course?
This Introduction to AI free course contains an hour of self-paced videos that learners can take up according to their convenience.
Will I have lifetime access to this Introduction to Artificial Intelligence free online course?
Yes. You will have lifetime access to this free online Artificial Intelligence course.
Is it worth learning about Artificial Intelligence?
Yes, learning Artificial Intelligence can be a rewarding and beneficial experience. It has become increasingly important in various fields, from medicine to engineering and the potential for AI is ever-expanding. With the advancements in the field, AI can help to solve problems faster, think more flexibly, automate processes, and create meaningful insights that can assist in decision-making.
What is Artificial Intelligence used for?
Artificial Intelligence (AI) is used for various tasks and applications. Typically, AI is used in tasks that are too complex or time-consuming for humans to complete, such as the identification of patterns in large sets of data, predictive analytics, and natural language processing. AI can also be utilized to automate mundane tasks, such as in customer service chatbots, to allow agents to focus on more complicated tasks. Further, AI is used in robotics, automation, and autonomous vehicles.
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Introduction to Artificial Intelligence
Artificial Intelligence is the ability of the machines or robots controlled by computers to show intelligence similar to humans. Hence, the name Artificial Intelligence. The machines are involved in intellectual processes identical to human characteristics like reasoning, understanding the meaning, generalizing, and learning from past experiences. Computers are programmed to carry out complex tasks with advancements in technologies and digital computers. For example, first, it was finding proofs for the mathematical theorems, playing chess the same as the humans, etc. Yet there is a constant trail of increasing the performance rate and memory capacity. The developers try to cover as broader a scope as possible by the AI bots to act humanly and handle the situations.
With time, you can see that Artificial Intelligence is growing exponentially and is one of the fastly growing careers for many. Artificial Intelligence works towards creating smart machines that can act humanly faster, making many of the tasks easier. Take the example of Alexa of Amazon. It is a voice assisting bot highly utilized by many. It is not only used for work purposes, but lonely people can have a good chat with it and cure their worries. AI bots are not only helping people physically but mentally also is helping out many. There are many chatbots created to cure the depressions of many where one doesn’t have to be scared of being judged and share their concerns and find a good talking partner.
Artificial Intelligence is developing a program that mimics humanly nature. It focuses on learning and problem-solving. It has shown drastic growth in many areas. With the help of AI, it is seen that speech recognition is achieved. Many face detection and recognition processes are successful and are reaching their height of growth. AI is highly beneficial in every aspect of our life. There are smart TVs, self-driving cars, and many other smart technologies surrounding us, ready to help us in our chores. Some even believe that AI poses a danger to humankind, seeing the development and growth rate increasing exponentially. It is also magical to achieve the result where a machine is trying to act humanly and almost has done a great job.
With the increase in AI demands, there is a reasonable career growth rate. Many have found their best career choices from the Artificial Intelligence domain as many areas use AI in their work. If you notice thoroughly, you can see that Data Science is seeing never-ending growth resulting in more job opportunities. It has become an integral part of a programmer’s life to explore it and invent new things. We have seen that there are a lot of AI inventions lined up to test and prove themselves as better performer. The main purpose of an AI developer is to code a program that thinks humanly and logically, learns things, and understands and solves problems. It is also seen that many programs have achieved their goals.
Artificial Intelligence involves many fields like mathematics, computer science, psychology, linguistics, neuroscience, and philosophy. One of the developers’ goals is to create an AI that can cover a broader scope of problems rather than dealing only with one. Researchers are also trying to get data to help them create an AI program that can understand emotions and empathize with human feelings. Many degree holders chose Data Science as their profession as they know there is a high scope to grow more and bring out the best career options. There is also a high rate of programmers drawn towards AI and have chosen AI as their career builder path.
Artificial Intelligence can be categorized into four types. All these four types have their own features that contribute to the development of AI. You can also see that some are more sophisticated compared to others. Some of these categories are not even scientifically achieved yet but are included in their goal achievements. These four types include reactive, limited memory, theory of mind, and self-awareness. The most basic kind of Artificial Intelligence is Reactive AI. Reactive AI is programmed to provide a predictive output based on input. Reactive AI provides a similar response every time to identical situations. It is also noticed the response time is also the exact same. They also don’t learn from their past experience but provide the exact same solutions.
You can take Deep Blue, a chess-playing IBM supercomputer that outwitted the world champion player called Garry Kasparov. You can see the application of Reactive AI in the spam filters that are actively performing to keep away the spam and phishing emails out of your email inbox. Netflix recommendation engine is also based on Reactive AI applications. It was seen that Reactive AI created new boundaries in technology, but with time it was seen that it doesn’t cope up with the tasks other than they were initially designed for. This made them limited to improvement and development. But it is also based on many other AI creations, and it is seen as the foundation for many other AI developments.
Limited memory AI is built to learn from past experiences and produce experimental knowledge by observing data or actions. This type of AI uses observational, historical data and the data set with which it is trained as the base for performing complex classification tasks. It is the most used AI in today’s applications. Autonomous vehicles are the best example of limited memory AI. They make it safe for travelers due to their adaptive nature and provide the best solutions for the problems arising. But it is still limited, as the name suggests. Whatever suggestions are made are not saved in the long-term memory.
Theory of mind AI aims to develop emotionally intelligent AIs precisely like humans. These types of AIs are beneficial in many medical terms. Especially in the psychology department. It is very useful in helping out those who feel lonely and cannot share their issues with anyone. This AI aims at achieving true decision-making capabilities which are similar to humans. They adjust their behavior based on human interactions. Self-aware AIs are considered the most advanced AIs. It aims at understanding its own emotions. Here, machines can understand their own emotions and the people around them. They are predicted to be having the same emotions and intelligence as humans.
To learn more about these AIs and get in-depth knowledge about them, enroll in Great Learning’s free Artificial Intelligence course called “Introduction to Artificial Intelligence” and secure your Artificial Intelligence certification with the free Artificial Intelligence certification provided on successful completion of the course. Enroll today in this free course and reach your AI career goals.