Artificial Intelligence (Ai) Tutorial For Beginners

AI Course for Beginners Which Contains all Basic Things of AI like Introduction of AI, Types of AI, Applications, etc

What you'll learn

Get a clear understanding about Artificial Intelligence.

How a computer can take a decision on its own.

Various types of Artificial Intelligence available.

Understanding Agents and Environments.

Understanding about the issues with Artificial Intelligence.

Requirements

Curiosity to know how a computer can think.

Nothing else! It’s just you, your phone and your hunger to get started today

Description

What Will I Learn?Get a clear understanding about Artificial Intelligence.How a computer can take a decision on its own.Various types of Artificial Intelligence available.Understanding Agents and Environments.Understanding about the issues with Artificial Intelligence.Who is the target audience?Who is curious to know how the basics functionality of Google now, Siri, Cortana or other AI.Those who want to start their career in AI, this course can give you a clear idea about the basics of AI.BenefitsAI can be applied to any industry, to solve problems, Hence the demand of engineers having a good knowledge of AI is increasing day by day.Automobile companies are moving towards driverless cars to avoid any human error while driving a car.Weather predictions are getting accurate thus helping people to plan their day.SalaryArtificial Intelligence engineer' salary based on their experience is listed below: Entry-level (0-2 years of experience) - Entry Level JobMid-level (2-5 years of experience) - Mid level SalaryExperienced (5-10 years of experience) - Experienced JobSenior-level (10+ years of experience)RequirementsCuriosity to know how a computer can think.Nothing else! It’s just you, your phone and your hunger to get started today

Overview

Section 1: Introduction to AI

Lecture 1 Introduction of AI

Lecture 2 Mapping human functions to AI technologies

Section 2: Branches of AI

Lecture 3 AI - Branches of Machine Learning Algorithms

Lecture 4 AI - Supervised Machine Learning Algorithms and Applications

Lecture 5 AI - Unsupervised Machine Learning Algorithms and Applications

Lecture 6 AI - Natural Language Processing and Applications

Lecture 7 AI - Computer Vision and Applications

Lecture 8 AI - IOT and Applications

Section 3: Neural Networks

Lecture 9 What are Neural Networks

Lecture 10 Neural Networks - Perceptron

Lecture 11 What are Deep Neural Networks

Section 4: Feed Forward Neural Network (FFNN)

Lecture 12 Feed Forward Neural Networks (FFNN) Structure and Forward pass

Lecture 13 Input - Feed Forward Neural Networks (FFNN)

Lecture 14 Learning Phase - Feed Forward Neural Networks (FFNN)

Lecture 15 Back propagation and learning step -Feed Forward Neural Networks (FFNN)

Lecture 16 Applications and Limitations of Feed Forward Neural Networks( FFNN)

Section 5: Convolutional Neural Network (CNN)

Lecture 17 CNN Introduction

Lecture 18 CNN - Convolution and Relu Layer

Lecture 19 CNN - Max Pooling Layer

Lecture 20 CNN - Example end to end

Section 6: Recurrent Neural Network (RNN)

Lecture 21 Recurrent Neural Network (RNN)

Lecture 22 RNN Architecture

Section 7: Generative Adversarial Network (GAN)

Lecture 23 Generative Adversarial Networks (GAN)

Section 8: Reinforcement Learning

Lecture 24 Reinforcement Learning

Section 9: Transfer Learning

Lecture 25 Transfer Learning

Section 10: Conclusion

Lecture 26 Market Potential of AI

Lecture 27 Who will loose to AI

Lecture 28 Need for retraining and reskilling

Lecture 29 How to take advantage and benefit from AI

Who is curious to know how the basics functionality of Google now, Siri, Cortana or other AI.,Those who want to start their career in AI, this course can give you a clear idea about the basics of AI.