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Welcome to Intellipaat's Artificial Intelligence Full Course 2024— an in-depth guide designed for absolute beginners looking to master AI and machine learning! This course covers everything you need to kickstart your journey in AI, from foundational concepts in artificial intelligence and machine learning to hands-on tutorials. Throughout this AI course for beginners, you'll explore different types of machine learning, Artificial Neural Networks, Deep Learning Fundamentals, Keras Library for AI, RNNs, GPU in Deep Learning, etc. to excel in today’s AI-driven world. Our course is ideal for anyone who wants to learn artificial intelligence from scratch and gain practical knowledge for real-world AI projects.

📖Below are the topics covered in this 'Artificial Intelligence Full Course 2024' video:
00:00:00 - Introduction to Artificial Intelligence Course
00:03:29 - What is Artificial Intelligence
00:07:17 - Why Artificial Intelligence
00:57:05 - Machine Learning Types
01:07:35 - Introduction to Deep Learning
02:45:16 - Benefits of Using Artificial Neural Network
02:50:26 - Deep Learning Frameworks
03:02:57 - Data Handling with NumPy
03:20:28 - Introduction to TensorFlow
05:23:00 - Understanding Epoch
05:50:38 - Introduction to Keras
06:43:35 - Predefined Neural Network Layers
08:43:11 - Problem With a Fully Connected Network
08:52:56 - Convolutional Neural Network
10:13:25 - Rectified Linear Units
10:45:45 - Artificial Intelligence Interview Questions

✅ Is AI hard to study?
Studying AI can be challenging, as it involves complex topics like programming, mathematics (especially statistics and linear algebra), and algorithms. However, with structured learning paths and accessible resources, it’s possible for beginners to grasp these concepts over time. Consistent practice and hands-on projects help make the learning process easier and more practical. Ultimately, while AI may seem difficult, determination and incremental learning make it achievable.

✅ What is an AI course?
An AI course is a structured learning program designed to teach the fundamentals and advanced concepts of artificial intelligence. It typically covers topics like machine learning, neural networks, data analysis, and programming with Python or other languages. Many AI courses include practical projects, giving learners hands-on experience in building AI models. These courses help individuals gain the skills needed for AI-related careers, such as data science or machine learning engineering.

➡️ About the Course
This Artificial Intelligence course, in collaboration with IITM Pravartak, is specially designed to help learners upgrade their skills in artificial intelligence, deep learning, and generative AI.

➡️ Key Features - (Course Features)
👉🏼 Learn AI from eminent IIT Madras Faculty and top industry experts
👉🏼 Master & get hands on experience on Deep Learning, Computer Vision, TensorFlow, Neural Networks, Generative AI, etc.
👉🏼 2 days campus immersion at IIT Madras Research Park
👉🏼 3 Guaranteed interviews upon movement to the placement pool
👉🏼 Earn the Certification in Data Science & Artificial Intelligence from IITM Pravartak (A Technology Innovation Hub of IIT Madras)

➡️ What’s Covered in This Program? -
✅ Programming Essentials For Artificial Intelligence
✅ Data Transformation & Management Using SQL
✅ Data Processing Using Python
✅ Statistical Evidence-Based Analysis
✅ Machine Learning
✅ Foundations of Deep Learning
✅ Introduction to AI
✅ Generative AI Fundamentals
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ AI Capstone Project

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Movie Starts At : 01:33

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Deeplearning4j is one of the few libraries that allows you to train your net over a distributed, multi-node cluster. The library provides an Iterative Map-Reduce procedure as well as a set of tools for configuring a Deep Net using hyper-parameters.

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The Deeplearning4j Java library was created by Adam Gibson in response to the lack of distributed, multi-node capabilities in other Deep Net libraries. Deeplearning4j can run on both Scala and Clojure, and it provides built-in GPU support for a distributed framework. You can also use the library to set up a deep net by configuring its hyper-parameters.

Deeplearning4j supports nearly every type of deep net, including the MLP, RBM/DBN, Convolutional Net, Recurrent Net, RNTN, and autoencoders. In addition, the Canova vectorization library is included with the package.

How does the Iterative Map-Reduce procedure differ from standard Map-Reduce? In Deeplearning4j, there are two different steps:

- MAP: Input data is distributed throughout the cluster, with every node receiving a different portion of the data. Each node begins training with its input set.
- REDUCE: After training, the parameters of all the nets are averaged. Every node overwrites its net’s parameters with this global average.

These two steps are repeated iteratively until the error is sufficiently small.

Have you ever trained a deep net over a distributed architecture? Please comment and share your experiences.

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Hello and welcome to a deep learning with Python and Pytorch tutorial series, starting from the basics.

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𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝 𝐄𝐭𝐡𝐢𝐜𝐚𝐥 𝐇𝐚𝐜𝐤𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 - 𝐂𝐄𝐇 𝐯𝟏𝟐 : https://www.edureka.co/ceh-eth....ical-hacking-certifi
This Edureka video on "Ethical Hacking Full Course" will help you learn Ethical Hacking and Cyber Security concepts from scratch. You will learn about different kind of Cyber attacks and ethical hacking tools used to prevent such attacks. There are lot of demos on several ethical hacking tools in this Ethical Hacking Tutorial for Beginners video. You will also learn how to become an Ethical Hacker. Below are the topics covered in this Ethical Hacking tutorial:

00:00:00 Introduction
00:01:25 Agenda
00:03:34 What is Ethical hacking
00:06:09 Types of Hacking
00:07:00 History of ethical hacking
00:20:44 Types of Hackers
00:31:53 Details of Services
00:35:19 What is Penetration Testing
00:43:03 What is Footprinting?
00:57:37 Hostname Resolution
01:14:47 History of Internet
01:19:56 OSI an TCP/IP Model
01:34:31 What is WireShark?
01:41:23 What is DHCP?
01:55:59 Digital encryption Standdard
01:58:33 Advanced Encryption Standard
02:19:09 What is Certificate?
02:36:18 What is DHCP?
02:57:14 Phases of Ethical Hacking
03:19:12 Types of Cyber attacks
03:21:47 Phishing
03:28:39 Types of Password Attacks
03:35:31 Malvertising
03:38:57 Fundamental of Networking
03:49:14 Kali
03:55:15 Launch kali Linux on MAC using VirtualBox
04:02:07 Installing KALI LINUX tools on Linux Distribution
04:19:16 What is Kali Linux?
04:24:25 Command Line essential
04:49:18 What is ProxyChain ?
05:04:45 What is a MacAddress
05:14:11 Wireless PEntesting
05:37:21 What is Phishing ?
05:40:47 How to use Phishing?
05:56:14 What is Cryptography ?
06:12:32 What is Brute Force?
06:27:07 How to prevent Brute Force attack ?
06:48:34 How to use cross site Scripting ?
06:57:09 how to prevent scroos site scripting ?
07:17:45 What is SQL Injection?
07:34:03 How to prevent SQL Injection
07:49:30 Wat is Vulnerability Assessment ?
08:15:14 What is NMAP?
08:31:32 What is Steganography?
09:12:43 Need for DVWA
09:24:33 Diference between parrot and Kali
09:34:10 Ethical Hacker Roles
09:44:28 Train yourself at Edureka , skills required,salary trends
09:58:12 The three pillars of Cybersecurity
10:12:47 Email Architecture
10:26:31 Cybersecurity tools
10:43:41 Cybersecurity Framework
10:57:45 Top 10 Reasons to LEarn Cybersecurity
11:08:55 Cybersecurity Skills
11:17:08 Cybersecurity Interview Questions










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This video on Introduction To Cyber Security covers all the basics that a beginner needs to know to get started with cyber security. Topics like what is cyber security, the importance of cyber security, how cyber security works, and who is a cyber security expert are covered in this video. Now, let's get started with this cyber security training for beginners.

Below are the topics we'll be discussing in this video on Introduction To Cyber Security:
Introduction 00:00
What is Cyber Security? - 01:48
Why Cyber Security? - 03:21
How does Cyber Security work? - 21:16
Who is a Cyber Security expert? - 26:49
Courses and certification required - 33:12

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What Is Cyber Security?
Cyber Security refers to the method of protecting programs, networks, computer systems, and their components from unauthorized digital access and attacks. It consists of a set of techniques that are used to protect the integrity of networks. Cyber Security is implemented to prevent cyberattacks.

Simplilearn’s Introduction to Cyber Security course is designed to give you a foundational look at today’s cybersecurity landscape and how to evaluate and manage security protocol in information processing systems. You will learn about information security concepts and technologies, the principles behind security architecture, how to mitigate vulnerabilities and threats to your systems, and how to implement risk and incident management to protect your infrastructure from cyber attack.

What are the course objectives?
In this Introduction to Cyber Security training course, you will gain a comprehensive overview of cybersecurity principles and concepts and learn the challenges of designing a security program. You will hear about evolving new threats such as social engineering attacks and learn how to mitigate their impact on organizational security.

What are the career benefits of this course?
The demand for cybersecurity experts has increased significantly over the last few years as companies become more dependent on the Internet and its vast facilities, and as data breaches, hacking and cybercrime reach new heights.

Upon completion of this course, you will become familiar with cyber security methodologies and be able to:
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2. Analyze appropriate types of controls to counteract various threats
3. Combat social engineering attacks such as phishing, malware, spyware, adware, ransomware and Bluetooth attacks
4. Determine and analyze software vulnerabilities and security solutions to reduce the risk of exploitation


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In this video on "What Is Jira?" we will cover the basic steps to learn Jira Tool as for new users to learn Jira Training with Jira Tutorial For Beginners.JIRA is an Agile project management tool used for Project Management, Bug Tracking, Issue Tracking, and Automate Workflow. It is also the solution that provides concepts and solutions to the entire team and the client, allowing for collaboration and transparency. This helps gather contextual data or information regarding the task, track the progress, report and tackle all the bugs, and release it when approved.

Below are the topics we are going to discuss in this JIRA Tutorial For Beginners:
00:00 Introduction
00:31 Question
00:49 Agenda
01:10 What Is Jira?
01:41 How Jira Works?
02:27 Jira Components and its Uses
04:19 Jira Concept
05:33 Features
08:33 Tutorial

What is Jira?
It is an incident management tool and a platform-independent tool that can run on any operating system and also is a multilingual tool. If we look into the work process of Jira, then it permits us to organize the task and other priorities, constructing a well-organized workflow in different management. The Workflow includes review and approval steps and multiple resolution possibilities.

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Hello everyone, In this video, you will learn how to use GPT-3 for the Question Answering System using Gradio in Python. Moreover, this video also how you can perform smart prompting on OpenAI Playground. Hopefully, you will like it.

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In this video I use the new ChatGPT API and Whisper API's to have a conversation. I use my voice as input and ChatGPT speaks back to me using my computer's audio.

0:00 - Demo (What We're Building)
1:10 - High Level Walkthrough / Discussion
5:02 - Gradio User Interface (Microphone Recording)
9:07 - OpenAI Whisper API (Speech to Text)
11:34 - ChatGPT API (Chat Completion)
21:00 - Making OSX Talk
22:06 - Jay-Z Edition (Rapping Therapist)

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This video on the "Top 10 Interview Questions And Answers" will help you ace your next interview. You might be very good at your subject; however, answering a few common interview questions can get tricky. Here we are to help you answer such interview questions.

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Do you think you are well prepared for your next interview?
This video on the top 10 interview questions will help you strategically craft an apt answer. So, we bring you the most commonly asked interview questions that will play a huge role in determining your future.

✅Top 10 Interview Questions And Answers 0:00

✅ Tell me about yourself! 00:47

✅ What are your strengths and weakness? 01:05

✅ Why do you want this job? 02:12

✅ Why did you leave your last job? 03:06

✅ What is your greatest accomplishment at work? 4:28

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✅ Do you have any questions for me? 09:24

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Simplilearn is one of the world’s leading certification training providers. We partner with companies and individuals to address their unique needs, providing training and coaching that helps working professionals achieve their career goals. We've helped over 1 million professionals, and companies across 150+ countries get trained, acquire certifications, and upskill their employees. Our training courses are designed and updated by 2000+ renowned industry experts. Our blended learning approach combines online classes, instructor-led live virtual classrooms, project work, and 24/7 teaching assistance.

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In this video on Digital Marketing Roadmap 2024, we're diving deep into the essential learning path for aspiring digital marketers. Whether you're a beginner looking to kickstart your career or a seasoned pro aiming to stay ahead, this comprehensive guide will outline the key skills and strategies you need to master. From SEO and content marketing to social media trends and emerging technologies, we'll provide valuable insights to help you thrive in the ever-evolving digital landscape. Join us as we walk through your journey to success in the exciting world of digital marketing!

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This Logistic Regression video will help you understand how a Logistic Regression algorithm works in Machine Learning. You will learn what is Supervised Learning, what is a classification problem, and the maths behind Logistic Regression. In the end, you will see a demo on how to predict the number present in an image using Logistic Regression in Python.

Below topics are covered in this Logistic Regression Tutorial:
0:00 - 01:52 Introduction
01:52 - 05:35 What is Supervised Learning?
05:35 - 06:10 What is Classification?
06:10 - 15:49 What is Logistic Regression?
15:49 - 16:58 Comparing Linear and Logistic regression
16:58 - 18:40 Logistic regression applications
18:40 - 38:17 Use case - Predicting the number in an image


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What is Logistics Regression?
Logistic regression is a classification algorithm that is used to predict a binary outcome based on a set of independent variables. Logistic regression uses a logistic function to estimate the probability of a target variable belonging to a particular class or category. It assumes that the dependent variable is binary or dichotomous and there should be no or very little multicollinearity between the predictor variables. Logistic regression

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This Decision Tree in the Machine Learning tutorial will help you understand all the basics of the Decision Tree and how the Decision Tree algorithm works. In the end, we will implement a Decision Tree algorithm in Python on loan payment prediction. This Decision Tree tutorial is ideal for both beginners as well as professionals who want to learn Machine Learning Algorithms.

Below topics are covered in this Decision Tree Algorithm Tutorial:
0. Intro (0:00)
1. What is Machine Learning? ( 02:25 )
2. Types of Machine Learning? ( 03:27 )
3. Problems in Machine Learning ( 04:43 )
4. What is a Decision Tree? ( 06:29 )
5. What are the problems a Decision Tree Solves? ( 07:11 )
6. Advantages of Decision Tree ( 07:54 )
7. How does Decision Tree Work? ( 10:55 )
8. Use Case - Loan Repayment Prediction ( 14:32 )

Dataset Link - https://drive.google.com/drive..../folders/1JybOOdRsMY

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What is a Decision Tree Algorithm?
A Decision Tree is a supervised machine learning algorithm for solving classification problems. Generally, a decision tree is drawn upside down with its root at the top and it is known as the Top-Down Approach. Decision trees are used for handling non-linear data sets effectively. The decision tree tool is used in real life in many areas, such as engineering, civil planning, law, and business.

➡️ About Post Graduate Program In AI And Machine Learning

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

✅ Key Features

- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

✅ Skills Covered

- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…

👉 Learn More At:




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