Introduction to Artificial Intelligence AI

This introductory course provides a comprehensive and engaging exploration of AI, equipping you with the foundational knowledge to navigate this rapidly evolving field. Whether you're a student, entrepreneur, or simply fascinated by technology, this course is your gateway to understanding AI.Why Take This Course?This course was developed by a team of actual AI practitioners (not educators!) who are actively implementing AI solutions in the market.All the examples and case studies used in this course are based on actual AI projects currently deployed across different industries. You'll learn from the successes and challenges of real-world applications.We showcase how AI is transforming a wide range of industries, from healthcare and finance to entertainment and self-driving cars. This comprehensive approach gives you a solid understanding of the diverse applications of AI.The lectures in this course are given by an AI bot allowing you to fully embrace into the capabilities of AI, all while learning about the technology. What You'll Learn: Gain a clear understanding of what AI is, its different (machine learning, computer vision, etc.), and how it works. Explore the role of data in AI development and learn how data fuels intelligent machines. You'll understand how different types of data are used to train AI models and the importance of data quality. Discover the diverse applications of AI that are transforming industries, from healthcare and finance to entertainment and self-driving cars. You'll be able to identify real-world examples of AI in action and discuss the potential benefits and challenges associated with these applications.By the end of this course, you'll be able to:Identify where AI is used all around you. Understand the benefits and power of implementing AI solutions.Come up with your own ways to fit AI into your industry.Identify potential career paths and new professional opportunities.This course is perfect for:Anyone curious about the future of technology.Students seeking to broaden their skillset and career options.Professionals who want to understand how AI is impacting their field.Entrepreneurs looking for the next big idea. Individuals with no prior AI knowledge.Course Format:This course is designed to be an engaging and interactive exploration of Artificial Intelligence. Here's what to expect:Each chapter is divided into concise video lectures, delivered in a clear and engaging format.After each micro-lecture, test your understanding with multiple-choice questions designed to solidify your learning.We'll bring AI to life with practical examples that showcase its applications across various industries.Chapter Breakdown:This course is structured into five key chapters, each focusing on a fundamental area of ​​AI:Chapter 1: Data Science - the power of dataWhat is AI? Where is it used? What are applications of AI from different industries?What is Data Science and why is it so important?Chapter 2:Machine Learning - the engine of AIWhat is Machine Learning? How does it work? How are the models trained to give accurate results? What is Deep Learning? When and how is it used?Chapter 3: Natural Language Processing (NLP) - how computers “read”, “talk” and make sense of wordsWhat is NLP and how is it used?What are the steps required for NLP?How to increase the accuracy?Chapter 4: Computer Vision - how computer “see” and analyze visualsWhat are some examples from different industries?What are challenges faced?How does computer vision work?Chapter 5: Forecasting - how AI predicts thingsWhat is forecasting?How is forecasting used in different industries?What are time series? This format ensures a dynamic learning experience, keeping you engaged with bite-sized lectures, interactive activities, and real-world applications. By the end of this course, you'll have a solid foundation in the core concepts of AI and its potential to transform various aspects of our world!

Overview

Section 1: Welcome

Lecture 1 Welcome

Section 2: Data Science

Lecture 2 Part 1: What is AI?

Lecture 3 Part 2: Where is AI used?

Lecture 4 Part 3: AI use cases

Lecture 5 Part 4: What is Data Science?

Section 3: Machine Learning

Lecture 6 Part 1: What is Machine Learning?

Lecture 7 Part 2: Model Performance

Lecture 8 Part 3: Data

Lecture 9 Part 4: Deep Learning

Section 4: Natural Language Processing (NLP)

Lecture 10 Part 1: What is NLP?

Lecture 11 Part 2: Steps to NLP

Section 5: Computer Vision

Lecture 12 Part 1: Where is it used?

Lecture 13 Part 2: Challenges

Lecture 14 Part 3: Techniques

Section 6: Forecast

Lecture 15 Part 1: Where it's used

Lecture 16 Part 2: Time Series

Section 7: What's Next?

Lecture 17 What's Next?