Introduction to Artificial Intelligence (AI)
Introduction to Artificial Intelligence (AI), available at $59.99, has an average rating of 3.8, with 14 lectures, 9 quizzes, based on 23 reviews, and has 132 subscribers.
You will learn about What Is AI Key AI Capabilities and Technology AI technologies and associated case studies Components of a AI solution This course is ideal for individuals who are Business professionals or IT professionals or Senior year undergraduate and graduate students in Business & IT or Vendors, consultants and service providers for AI technology It is particularly useful for Business professionals or IT professionals or Senior year undergraduate and graduate students in Business & IT or Vendors, consultants and service providers for AI technology.
Enroll now: Introduction to Artificial Intelligence (AI)
Summary
Title: Introduction to Artificial Intelligence (AI)
Price: $59.99
Average Rating: 3.8
Number of Lectures: 14
Number of Quizzes: 9
Number of Published Lectures: 13
Number of Published Quizzes: 9
Number of Curriculum Items: 23
Number of Published Curriculum Objects: 22
Original Price: $29.99
Quality Status: approved
Status: Live
What You Will Learn
- What Is AI
- Key AI Capabilities and Technology
- AI technologies and associated case studies
- Components of a AI solution
Who Should Attend
- Business professionals
- IT professionals
- Senior year undergraduate and graduate students in Business & IT
- Vendors, consultants and service providers for AI technology
Target Audiences
- Business professionals
- IT professionals
- Senior year undergraduate and graduate students in Business & IT
- Vendors, consultants and service providers for AI technology
As we deal with current data explosive world, much of the data is unstructured – forms, tables, images, and video. As we deal with social interactions in Covid-19, compliance for mask wearing gets added to a number of other image analysis problems.
We have a strong need to analyze large set of unstructured and semi-structured data to interpret the meaning using various AI technology. What are the different types of AI capabilities and associated technologies? How do you select an AI use case and associated technology.
In this course, you will understand
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What is AI?
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Major capabilities of AI
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Various AI technologies and associated use cases
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Components of an AI solution
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Strategize an AI engagement and associated technologies
This course is divided into multiple sections. After this introductory section,
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We will cover what is AI and four major tiers of AI capabilities. In each area, we will identify key technologies and how they drive and transform analytics.
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First area is sensing – this includes perception capabilities embedded in our ingestion of speech, images, text, and sensors. We will cover this technology and will also include one case study in this area.
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Second area is learning – here we discuss the role of adaptive learning in model improvement as seen today in supervised, unsupervised and reinforcement learning. We will cover this technology and will also include one case study in this area.
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Third area is reasoning – our discussion here showcases the role of semantic knowledge representation in developing reasoning capabilities. We will cover this technology and will also include one case study in this area.
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Four area is interaction – it covers our use of collaboration in human – machine interaction. We will define key characteristics of this technology and will also include one case study in this area.
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Next, we will round up the four capabilities – perception, adaptive learning, semantic knowledge representation and collaboration and show how they have collectively shaped various common life use cases
In last summary section, we will review our findings and provide a set of recommended readings.
The course will cover many interactive quizzes to test your understanding on the subject.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Instructor's Bio
Chapter 2: Key Capabilities and Technologies
Lecture 1: Key Technologies
Chapter 3: AI Technology – Sensing
Lecture 1: AI Technology – Sensing
Lecture 2: Sensing – Case Study
Chapter 4: AI Technology – Reasoning
Lecture 1: AI technology – Reasoning
Lecture 2: Case Study 3 – Reasoning
Chapter 5: AI Technology – Learning
Lecture 1: AI technology – Learning
Lecture 2: Case Study 2 – Learning
Chapter 6: AI technology – Interaction
Lecture 1: AI Technology – Interaction
Lecture 2: Case Study 4 – Interaction
Chapter 7: Summary
Lecture 1: Final Review
Lecture 2: Bonus Lecture
Instructors
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Neena Sathi
Principal, Applied AI Institute
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 0 votes
- 3 stars: 3 votes
- 4 stars: 6 votes
- 5 stars: 12 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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