Introduction to Artificial Intelligence from
REVIEW
In this course, you will learn what artificial intelligence (AI) is, explore AI's application cases and applications, and understand AI concepts and terms such as machine learning, in-depth learning, and neural networking. You will be exposed to various issues and concerns about AI such as ethics and prejudice and jobs, and seek expert advice on learning about AI and starting a business. You'll also show the AI in action using a mini-project.
This course requires no programming or computer science expertise and is designed to introduce you to the basics of AI, whether you have a technical background or not.
WHAT YOU WILL LEARN
Understand what is AI, its applications and use cases and how it is transforming our lives
Explain terms like Machine Learning, Deep Learning and Neural Networks
Describe several issues and ethical concerns surrounding AI
Articulate advice from experts about learning and starting a career in AI
SKILLS YOU WILL GAIN
PRIZE: ₹2,876/- for an IBM certificate
Importance of taking this COURSERA course:
Today, the amount of data generated by humans and machines far exceeds the ability to draw, interpret, and draw complex conclusions based on that data. Artificial Intelligence is the future of all computer learning and all complex decision-making. For example, despite ending up with 255,168 unique modes and 46,080 maps, most people can learn to be invincible at Tic-Tac-Toe (Lumps and Crosses). With an exchange value of 500 x 1018 or more than 500 quintals, very few individuals can be considered good champions of checkers. Computers are very good at computing these combinations and permutations to get the best results. AI (and the logical evolution of machine learning) and deep learning are the future foundations of business decision-making.
AI applications can be found in everyday situations such as fraud detection in financial services, retail purchase forecasting, and online customer support contacts. Here are some examples:
Fraud detection. The financial services industry uses artificial intelligence in two ways. The initial score of loan applications uses AI to understand creditworthiness. Advanced AI machines were used to track fraudulent payment card transactions in real-time.
Virtual Customer Support (VCA). Call centers use VCAs to answer customer inquiries outside of human contact. Voice recognition with simulated human conversation is the first point of contact for customer service questions. Higher-level questions are redirected to one.
When someone initiates a conversation through a chat (chatbot) on a webpage, that person often interacts with a special AI-powered computer. If the chatbot cannot interpret or answer the question, someone intervenes to speak to that person directly. These unwanted opportunities are provided in the form of machine computing learning systems to improve the application of AI for future contacts.