Artificial Intelligence Tutorial | Artificial Intelligence Full Course | AI Tutorial | Simplilearn

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This video on the Artificial Intelligence tutorial will make you learn in detail about the different concepts involved in AI. First, you will understand the basics of AI. Since AI is a combination of Machine Learning and Deep Learning, you will learn about Machine Learning with hands-on demo. Then, you will get an idea about the top 10 applications of Machine Learning. This tutorial will also help you learn about Deep Learning in Python using TensorFlow. You will come across some essential Deep Learning applications. Finally, you will learn how to become an AI Engineer and look at some vital machine learning and deep learning interview questions. Now, let’s dive in and learn artificial intelligence in detail.

Below topics are explained in this Artificial Intelligence tutorial:
1. Introduction to Artificial Intelligence (0:33)
2. What is Artificial Intelligence (06:20)
3. Brief history of Artificial Intelligence (07:16)
4. Types of Artificial Intelligence (10:25)
5. Artificial of Artificial Intelligence (13:23)
6. Future of Artificial Intelligence (14:56)
7. Machine Learning vs Deep Learning vs Artificial Intelligence (16:15)
8. Human vs Artificial Intelligence (19:36)
9. What is Machine Learning and Deep Learning? (21:33)
10. Real-life examples (31:31)
11. Types of Artificial Intelligence (33:49)
12. Machine Learning tutorial (42:38)
13. Why Machine Learning (43:12)
14. What is Machine Learning (47:19)
15. Types of Machine Learning (54:01)
16. Supervised Learning (54:13)
17. Reinforcement Learning (56:35)
18. Supervised vs Unsupervised (57:54)
19. Machine Learning Algorithms (59:12)
20. Linear regression (1:01:00)
21. Decision trees (1:08:12)
22. Support Vector Machine (1:16:31)
23. Clustering (1:44:56)
24. K-means clustering (1:45:45)
25. Logistic Regression (2:15:19)
26. Applications of Machine Learning (2:39:40)
27. What is Deep Learning? (2:44:36)
28. What is a Neural Network? (2:46:46)
29. Machine Learning Interview Questions & Answers (0:20:50)

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Watch more videos on Artificial Intelligence: https://www.youtube.com/watch?v=ad79nYk2keg&list=PLEiEAq2VkUULyr_ftxpHB6DumOq1Zz2hq

#ArtificialIntelligence #AI #ArtificialIntelligenceTutorial #ArtificialIntelligenceFullCourse #Simplilearn

We’ve partnered with Purdue University and collaborated with IBM to offer you the unique Post Graduate Program in AI and Machine Learning. Learn more about it here – https://www.simplilearn.com/ai-and-machine-learning-post-graduate-certificate-program-purdue?utm_campaign=Aritificial-Intelligence-Tutorial-8Pyy2d3SZuM&utm_medium=Tutorials&utm_source=youtube

Simplilearn’s Artificial Intelligence course provides training in the skills required for a career in AI. You will master TensorFlow, Machine Learning and other AI concepts, plus the programming languages needed to design intelligent agents, deep learning algorithms & advanced artificial neural networks that use predictive analytics to solve real-time decision-making problems without explicit programming.

Why learn Artificial Intelligence?
The current and future demand for AI engineers is staggering. The New York Times reports a candidate shortage for certified AI Engineers, with fewer than 10,000 qualified people in the world to fill these jobs, which according to Paysa earn an average salary of $172,000 per year in the U.S. (or Rs.17 lakhs to Rs. 25 lakhs in India) for engineers with the required skills.

You can gain in-depth knowledge of Artificial Intelligence by taking our Artificial Intelligence certification training course. Those who complete the course will be able to:
1. Master the concepts of supervised and unsupervised learning
2. Gain practical mastery over principles, algorithms, and applications of machine learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of machine learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive bayes, decision tree classifier, random forest classifier,
logistic regression, K-nearest neighbors, K-means clustering and more.

Learn more at: https://www.simplilearn.com/artificial-intelligence-masters-program-training-course?utm_campaign=Aritificial-Intelligence-Tutorial-8Pyy2d3SZuM&utm_medium=Tutorials&utm_source=youtube

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