आर्टिफिशियल इंटेलिजेंस (एआई) एक Research Field  है जो कंप्यूटर पर बुद्धिमान मानव व्यवहार का एहसास करने के लिए अध्ययन करता है। आर्टिफिशियल इंटेलिजेंस (एआई) का अंतिम लक्ष्य एक ऐसा कंप्यूटर बनाना है जो Self से समस्याओं को सीख, योजना, और हल कर सके। यद्यपि आर्टिफिशियल इंटेलिजेंस (एआई) का अध्ययन आधी सदी से अधिक समय से किया जा रहा है, फिर भी हम एक ऐसा कंप्यूटर नहीं बना सकते हैं जो सभी पहलुओं में मानव जैसा ही बुद्धिमान हो। हालांकि, हमारे पास कई सफल एप्लिकेशन हैं। कुछ मामलों में, आर्टिफिशियल इंटेलिजेंस (एआई) तकनीक से लैस कंप्यूटर हमसे ज्यादा बुद्धिमान हो सकता है। विश्व शतरंज चैंपियन को हराने वाला डीप ब्लू सिस्टम एक अच्छी तरह से ज्ञात उदाहरण है।

आर्टिफिशियल इंटेलिजेंस (एआई) में मुख्य शोध विषयों में शामिल हैं: समस्या का समाधान, तर्क, योजना, प्राकृतिक भाषा समझ, कंप्यूटर दृष्टि, स्वचालित प्रोग्रामिंग, मशीन सीखना, और इसी तरह(Problem solving, logic, planning, natural language understanding, computer vision, automated programming, machine learning, and so on)। बेशक, ये विषय एक-दूसरे के साथ निकटता से संबंधित हैं। उदाहरण के लिए, अधिगम के माध्यम से प्राप्त ज्ञान का उपयोग समस्या को हल करने और तर्क के लिए दोनों के लिए किया जा सकता है। वास्तव में, समस्या को हल करने का कौशल सीखने के माध्यम से हासिल किया जाना चाहिए। इसके अलावा, समस्या को हल करने के तरीके तर्क और योजना दोनों के लिए उपयोगी हैं। इसके अलावा, प्राकृतिक भाषा समझ और कंप्यूटर दृष्टि दोनों को पैटर्न मान्यता के क्षेत्र में विकसित विधियों का उपयोग करके हल किया जा सकता है।

इस पाठ्यक्रम में, हम आर्टिफिशियल इंटेलिजेंस (एआई) को समझने के लिए सबसे बुनियादी ज्ञान का अध्ययन करेंगे। समस्या के समाधान के लिए हम कुछ बुनियादी Search एल्गोरिदम पेश करेंगे; ज्ञान का प्रतिनिधित्व और तर्क; पैटर्न मान्यता; अस्पष्ट तर्क; और तंत्रिका नेटवर्क(Knowledge representation and logic; pattern recognition; Compelling argument; And neural networks)

List of Top 10 Free Artificial Intelligence Courses for Beginners, Intermediate and Advanced level are as follows

free artificial intelligence courses
Image Credit: Hitesh Chaudhary

1. Learn with Google AI

Course by: Google


At Google AI, we’re conducting research that advances the state-of-the-art in the field, applying AI to products and to new domains, and developing tools to ensure that everyone can access AI.free artificial intelligence courses in hindi


Explore Course: AI by Google


2. Introduction to Artificial Intelligence


Course by: Udacity


From Which University: Stanford University

Syllabus of this course:

Part 1: Fundamentals of Artificial Intelligence


1. Overview of AI
2. Statistics, Uncertainty, and Bayes networks
3. Machine Learning
4. Logic and Planning
5. Markov Decision Processes and Reinforcement Learning
6. Hidden Markov Models and Filters
7. Adversarial and Advanced Planning


Part 2: Applications of AI


1. Image Processing and Computer Vision
2. Robotics and Robot Motion Planning
3. Natural language Processing and Information Retrieval


Subject Professor: Sebastian Thrun and Peter Norvig






Explore Course: AI by Stanford

3. Artificial Intelligence

Course By: Edx


From Which University: ColumbiaX


Learn the fundamentals of Artificial Intelligence (AI), and apply them. Design intelligent agents to solve real-world problems including, search, games, machine learning, logic, and constraint satisfaction problems.free artificial intelligence courses in hindi


Explore Course: AI by ColumbiaX

4. Artificial Intelligence for Beginners

Course By: Lynda (LinkedIn)


Basic Information About this Course:


This course will introduce you to some of the key concepts behind artificial intelligence, including the differences between "strong" and "weak" AI. You'll see how AI has created questions around what it means to be intelligent and how much trust we should put in machines. Instructor Doug Rose explains the different approaches to AI, including machine learning and deep learning, and the practical uses for new AI-enhanced technologies. Plus, learn how to integrate AI with other technology, such as big
data, and avoid some common pitfalls associated with programming AI.free artificial intelligence courses in hindi

Explore Course: AI by LinkedIn

5. The Beginners Guide to Artificial Intelligence in Unity


Course By: Udemy


Basic Information About this Course:


Do your non-player characters lack drive and ambition? Are they slow, stupid and constantly banging their heads against the wall? Then this course is for you. Join Penny as she explains, demonstrates and assists you to create your very own NPCs in Unity with C#. All you need is a sound knowledge of Unity, C# and the ability to add two numbers together.free artificial intelligence courses in hindi


In this course, Penny reveals the most popular AI techniques used for creating
Explore Course: AI by Udemy

6. Advanced AI Tutorial: Deep Reinforcement Learning in Python

Course By: Udemy

Basic Requirements for this Course:


1) Know reinforcement learning basics, MDPs, Dynamic Programming, Monte Carlo, TD Learning


2) Calculus and probability at the undergraduate level


3) Experience building machine learning models in Python and Numpy


4) Know how to build a feed forward, convolution, and recurrent neural network using Thea-no and Tensor flow.free artificial intelligence courses in hindi


What you will Learn in this Course?


a. Build various deep learning agents (including DQN and A3C)
b. Q-Learning with Deep Neural Networks
c. Reinforcement Learning with RBF Network
d. Apply a variety of advanced reinforcement Learning algorithms to any problems
e. Policy Gradient Methods with Neural Networks
f. Use Convolutional Neural Networks with Deep Q-Learning






Explore Course: AI by Udemy


7. Introduction to Artificial Intelligence

Course By: Edx


From Which Company: Microsoft


Subject Professor: Graeme Malcolm (Senior Developer at Microsoft)


Basic Information About this Course:


Artificial Intelligence will define the next generation of software solutions. This computer science course provides an overview of AI and explains how it can be used to build smart apps that help organizations be more efficient and enrich people’s lives. It uses a mix of engaging lectures and hands-on activities to help you take your first steps in the exciting field of AI.free artificial intelligence coursesin hindi


Discover how machine learning can be used to build predictive models for AI. Learn how software can be used to process, analyze, and extract meaning from natural language; and to process images and video to understand the world the way we do.free artificial intelligence coursesin hindi


Find out how to build intelligent bots that enable conversational communication between humans and AI systems.
Explore Course: AI by Microsoft

8. Artificial Intelligence A-Z: Learn How to Build an AI

Course By: Udemy


Basic requirements of this Course:


1) High School Maths
2) Basic Python Knowledge

Explore Course: AI by Udemy

9. Artificial Intelligence: Reinforcement learning in Python

Course By: Udemy


Basic Requirements for this Course:

1) Calculus
2) Probability
3) Object-Oriented Programming
4) Python coding
5) Lumpy Coding
6) Linear regression
7) Gradient Descent


Explore Course: AI by Udemy

10. Introduction to Artificial Intelligence


Course By: NPTEL


From Which University: IIT Kharagpur


Syllabus of this Course:


The course will cover basic ideas and techniques underlying the design of intelligent computer systems.

Explore Course: AI by IIT



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