Artificial Intelligence for Beginners: Understand the basics
Artificial Intelligence for Beginners: Understand the basics, available at $74.99, has an average rating of 4.54, with 20 lectures, based on 149 reviews, and has 632 subscribers.
You will learn about Define Artificial Intelligence and understand the History around this term Understand the different types of Artificial Intelligence Get clarification on different parts of Artificial Intelligence Develop a complete Artificial Intelligence Model that could be used to detect visual/sound elements This course is ideal for individuals who are This course has been developed for anyone who wants to get a basic understanding of what Artificial Intelligence is. It's ideal for anyone who has heard the term but doesn't really know what it entails. or This course WILL NOT involve coding. You'll develop Artificial Intelligence models using your own dataset but without coding. It is particularly useful for This course has been developed for anyone who wants to get a basic understanding of what Artificial Intelligence is. It's ideal for anyone who has heard the term but doesn't really know what it entails. or This course WILL NOT involve coding. You'll develop Artificial Intelligence models using your own dataset but without coding.
Enroll now: Artificial Intelligence for Beginners: Understand the basics
Summary
Title: Artificial Intelligence for Beginners: Understand the basics
Price: $74.99
Average Rating: 4.54
Number of Lectures: 20
Number of Published Lectures: 20
Number of Curriculum Items: 21
Number of Published Curriculum Objects: 21
Original Price: ₹799
Quality Status: approved
Status: Live
What You Will Learn
- Define Artificial Intelligence and understand the History around this term
- Understand the different types of Artificial Intelligence
- Get clarification on different parts of Artificial Intelligence
- Develop a complete Artificial Intelligence Model that could be used to detect visual/sound elements
Who Should Attend
- This course has been developed for anyone who wants to get a basic understanding of what Artificial Intelligence is. It's ideal for anyone who has heard the term but doesn't really know what it entails.
- This course WILL NOT involve coding. You'll develop Artificial Intelligence models using your own dataset but without coding.
Target Audiences
- This course has been developed for anyone who wants to get a basic understanding of what Artificial Intelligence is. It's ideal for anyone who has heard the term but doesn't really know what it entails.
- This course WILL NOT involve coding. You'll develop Artificial Intelligence models using your own dataset but without coding.
This course takes you on a journey to demystify Artificial Intelligence. We start with a historical perspective and understand the journey of AI through time. We learn about the term artificial intelligence and its origins. We then define the term in the current context.
Once these basics are clear, we move on to Understand the various types of Artificial Intelligences like Regression, Classification and Clustering. We also look at reinforced learning and its uses. We talk about each of these in detail along with some real-life examples. We also Take a look back at some real-life artificial intelligence examples like a self-driving car and try to Segment the AI used in this into constituent components like regression classification and clustering.
Once equipped with the basic understanding, we define the parts of Artificial Intelligence systems in detail and use real life examples to clarify concepts. The parts like input data, algorithm and output are pretty much common across artificial intelligence models. Having a clear understanding of these as well as their limitations is necessary for strong foundations in the subject.
Finally, we develop our own usable AI models. These models are created using no-code method but are completely customizable. In fact, you can even download the code for the AI models that you have created and use it as you would like it. You will define the input, select the algorithm to be used and finally will also evaluate the output produced by the model.
The models we create are:
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Image Detection Model
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Pose Detection Model
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Audio Detection Model
The course is supposed to be purchased by adults over the age of 18. In case kids want to enroll for the course, course must still be purchased by a parent or guardian and be watched under supervision.
Course Curriculum
Chapter 1: Artificial Intelligence: Introduction
Lecture 1: Introduction to Artificial Intelligence
Lecture 2: What is Artificial Intelligence?
Lecture 3: How Artificial Intelligence Works?
Lecture 4: What s Machine Learning?
Lecture 5: What is Deep Learning
Chapter 2: Types of Machine Learning
Lecture 1: Main types of Machine Learning
Lecture 2: Supervised and Unsupervised Machine Learning
Lecture 3: Reinforcement Machine Learning
Lecture 4: Regression Machine Learning
Lecture 5: Classification Machine Learning
Lecture 6: Clustering Machine Learning
Lecture 7: Difference between Clustering and Classification Machine Learning
Chapter 3: Parts of Artificial Intelligence
Lecture 1: Parts of Artificial Intelligence
Chapter 4: Artificial Intelligence Projects
Lecture 1: Developing AI: Project – I
Lecture 2: Additional Projects using Image Recognition
Lecture 3: Developing AI: Project – II: Pose Dection
Lecture 4: Understanding Epochs, Batches and Learning Rate
Lecture 5: Developing AI: Project – III: Audio Dection
Chapter 5: Next Steps
Lecture 1: What is Computer Programming
Lecture 2: Introduction to Artificial Intelligence Level-II Course
Instructors
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Nikita Aakhade
Engineer with a Passion of Artificial Intelligence
Rating Distribution
- 1 stars: 3 votes
- 2 stars: 2 votes
- 3 stars: 20 votes
- 4 stars: 45 votes
- 5 stars: 79 votes
Frequently Asked Questions
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