Comptia Security+ PKI Mini-Course

Year of manufacture : 2024
Manufacturer : Udemy
Manufacturer’s website : Code:Copy to clipboard

https://www.udemy.com/course/comptia-security-pki-course/

Author : Danni-Tech, Danni
Duration : ~1h30m
Type of material distributed : Video lesson
Language : En
Описание: Are you preparing for the CompTIA Security+ exam or looking to strengthen your foundational understanding of the Public Key Infrastructure (PKI)? This mini-course is designed to simplify the complexities of PKI, making it accessible for learners at any level.
What You’ll Learn:
The essentials of certificates and trust in a PKI
How Certificate Authorities (CA’s) establish trust in digital communications.
The role of PKI in securing SSL/TLS connections
Key concepts like Certificate Signing Requests (CSR’s), OCSP, CRL’s and more.
Earn a Certificate of Completion to showcase your expertise upon finishing the course.
Why This Course:
PKI is a critical concept in cybersecurity and a core part of the Security+ certification. Yet, it’s often challenging to grasp. This course breaks down the PKI into simple, digestible lessons tailored to Security+ learners.
Focused and Effective: In just a few lessons, you’ll gain clarity on what the PKI is, how it works, and why it matters.
Interactive Learning: Test your knowledge with quizzes at the end of each module and a 20 question end-of-course exam to solidify your understanding.
Instructor Expertise: Taught with a straightforward, no-fluff approach that’s easy to follow.
Content
12:31
MAC/HMAC – Data Integrity
03:39
Symmetric Encryption
07:51
Asymmetric Encryption
11:20
Public and Private Keys
09:00
Digital Signature Algorithms
01:39
Key Exchange Algorithms
02:50
Module One Quiz: Cryptography Fundamentals
5 questions
What is the PKI?
05:42
What is a Certificate?
14:59
Certificate Authorities and Their Role in Trust
05:39
Certificate Singing Request
03:52
CRL’s & OCSP
06:39
Module Two Quiz: Certificate & Trust
5 questions
Introduction to how the PKI is Used in SSL/TLS
02:43
Introduction to the SSL/TLS Handshake
03:04
Module 3: SSL/TLS and Certificate Validation
5 questions
Final Practice Test: PKI Knowledge Check
20 questions
Example files : not provided
Video format : MP4
Video : AVC, 1920×1080, 16:9, 30fps, ~3000kbps
Audio : AAC, 48kHz, 62.7kbps, stereo

⋆🕷- – – – -☽───⛧ ⤝❖⤞ ⛧───☾ – – – -🕷⋆

Udemy – CompTIA Security PKI MiniCourse (1.86 GB)
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CompTIA SecAI+ (CY0-001) Complete Certification Prep


Published 3/2026 Created by Big Data Landscape MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All Levels | Genre: eLearning | Language: English | Duration: 19 Lectures ( 1h 56m ) | Size: 717 MB​

Master all 4 exam domains: Secure AI systems, defend against AI threats, automate security with AI, and more

What you’ll learn
✓ Apply AI concepts to strengthen organizational cybersecurity posture, including ML, deep learning, NLP, and generative AI.
✓ Secure AI systems using advanced controls including prompt firewalls, guardrails, gateway controls, and access management.
✓ Leverage AI technologies to automate security workflows, accelerate incident response, and scale security operations.
✓ Navigate global GRC frameworks including EU AI Act, NIST AI RMF, OECD principles, and GDPR to ensure ethical AI adoption.
✓ Defend against AI-driven threats like adversarial attacks, prompt injection, data poisoning, deepfakes, and malicious generative AI.
✓ Integrate AI securely into DevSecOps pipelines with automated code scanning, testing, and deployment/rollback.
✓ Use threat-modeling frameworks including OWASP Top 10 for LLMs, MITRE ATLAS, and NIST AI RMF to assess AI risks.
✓ Pass the CompTIA SecAI+ (CY0-001) exam on the first attempt with confidence.

Requirements
General IT experience
Basic understanding of machine learning concepts (helpful but not required)

Description
This course contains the use of AI

Are you ready to earn the industry’s first AI cybersecurity certification?

The CompTIA SecAI+ (CY0-001) exam validates your ability to secure AI systems, leverage AI for threat detection and automation, and navigate the complex landscape of AI governance and compliance. This comprehensive course covers every exam objective across all four domains, with hands-on labs and two full-length practice exams.

What makes this course different

Mapped 1:1 to official CY0-001 exam objectives

Hands-on labs: Build secure RAG pipelines, attack & defend LLMs, implement AI gateway controls

Real-world scenarios: Not just theory, but practical skills for AI security roles

Two full-length practice exams with detailed explanations

Coverage of critical frameworks: OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, EU AI Act

Earn the Industry’s First AI Cybersecurity Certification and Future-Proof Your Security Career

AI is reshaping cybersecurity at an unprecedented pace. Organizations are deploying AI-powered security tools, attackers are weaponizing generative AI, and regulators worldwide are introducing new compliance requirements for AI systems. The CompTIA SecAI+ (CY0-001) certification validates that you can secure AI systems, leverage AI for defense, and navigate the complex landscape of AI governance – skills that employers are actively seeking right now.

This course prepares you to pass the CompTIA SecAI+ exam on your first attempt with comprehensive coverage of every exam objective across all four domains.

What makes this course different from everything else

Master AI security concepts mapped directly to the official CY0-001 exam objectives – every lecture counts

Build real security tools in hands-on labs: an ML-based network intrusion detector and a secure RAG pipeline with prompt injection defense

Practice with 2 full-length exams (120+ questions) that simulate real exam conditions with detailed explanations for every answer

Learn the critical frameworks the exam tests: OWASP Top 10 for LLMs, MITRE ATLAS, NIST AI RMF, and the EU AI Act

Get a security-first approach built for working professionals – real-world scenarios, not abstract theory

The CompTIA SecAI+ certification launched in February 2026 as CompTIA’s first expansion series certification. Early adopters are positioning themselves at the intersection of AI and cybersecurity – two of the fastest-growing fields in technology. Whether you are a security analyst adding AI to your toolkit, a GRC professional navigating new AI regulations, or an IT professional transitioning into AI security, this certification sets you apart.

In this course, you will learn how AI, machine learning, deep learning, and generative AI apply to cybersecurity operations. You will understand supervised, unsupervised, and reinforcement learning paradigms and how each powers different security use cases – from malware classification to anomaly detection to adaptive defense systems. You will explore neural network architectures including CNNs, RNNs, and Transformers, and understand how Large Language Models and Small Language Models are revolutionizing security operations.

You will master prompt engineering from fundamentals through advanced techniques. This includes system prompts, user prompts, roles, prompt templates, zero-shot through multi-shot prompting, chain-of-thought reasoning, prompt chaining for multi-step workflows, and structured outputs for SIEM and SOAR integration. These skills are essential for both using AI tools effectively and defending against prompt injection attacks.

The course covers data security for AI systems in depth: data cleansing, verification, lineage, integrity, and provenance – the controls that prevent data poisoning and ensure compliance. You will learn Retrieval-Augmented Generation (RAG) architecture, including embeddings, vector databases like ChromaDB and Pinecone, and the security implications of connecting LLMs to organizational knowledge bases. You will understand watermarking techniques for detecting AI-generated content, the C2PA standard for content authenticity, and how these connect to EU AI Act requirements.

You will study the complete AI lifecycle from a security perspective: business alignment, secure data collection, model development, evaluation with red-teaming and adversarial testing, deployment with access controls and encryption, and continuous monitoring with drift detection and feedback loops. You will learn human-centric AI design principles – human-in-the-loop, human oversight, and human validation – and understand when to apply each pattern based on risk and reversibility.

The course introduces AI threat modeling with the frameworks that the exam tests directly. You will learn why AI systems require specialized threat modeling beyond traditional approaches, identify the six AI-specific attack surfaces, and understand the four key frameworks: OWASP Top 10 for LLM Applications, OWASP ML Security Top 10, MITRE ATLAS, and the MIT AI Risk Repository.

Hands-on labs give you practical experience that reinforces every concept

Lab 1: Build an ML-based network traffic classifier using Random Forest on the NSL-KDD dataset – achieving 99.3% accuracy while interpreting precision, recall, F1, and confusion matrices for security decision-making

Lab 2: Build a secure RAG pipeline with ChromaDB, sentence-transformer embeddings, prompt templates with guardrails, input validation against prompt injection, and output filtering with PII redaction

Two full-length practice exams (120+ questions) with detailed explanations help you identify weak areas and build confidence before exam day. Questions are written in the same scenario-based format as the real exam, covering all four domains with appropriate weighting.

This course is actively growing. New sections covering Domain 2 (Securing AI Systems – 40% of the exam), Domain 3 (AI-Assisted Security), and Domain 4 (AI Governance, Risk & Compliance) are being added regularly. Your enrollment includes lifetime access to all current and future content at no additional cost.

About the CompTIA SecAI+ Exam (CY0-001)

The exam consists of up to 60 questions (multiple-choice and performance-based) with a 60-minute time limit. The passing score is 600 out of 900. It can be taken at Pearson VUE test centers or via online proctoring. CompTIA recommends 3-4 years of general IT experience and approximately 2 years of hands-on cybersecurity experience. The exam voucher costs approximately $425 USD.

Enroll now, start building the skills that employers are searching for, and earn the certification that proves you can secure the AI-powered future.

Who this course is for
Security Analysts and SOC Analysts looking to integrate AI into their workflows
Security Engineers and Architects designing secure AI implementations
IT professionals transitioning into AI security roles
DevSecOps engineers integrating AI into CI/CD pipelines
Anyone pursuing the CompTIA SecAI+ certification

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CompTIA Linux+ V8 – Pearson Cert Prep


Last updated 12/2025 With Sander van Vugt MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 22h 13m | Size: 14.3 GB​

Master Linux system administration and prepare for the CompTIA Linux+ certification with hands-on labs.

Comprehensive coverage of all CompTIA Linux+ exam objectives
Step-by-step, beginner-friendly modules for confident upskilling
Hands-on labs and real-world scenarios to reinforce exam success
Ready to upskill and earn your CompTIA Linux+ certification? Our CompTIA Linux+ V8 – Pearson Cert Prep training course is expertly designed for professionals who need to master Linux quickly and efficiently. Whether youre new to the platform or looking to validate your skills, this is your one-stop training course. Each module aligns with the latest CompTIA Linux+ exam objectives, guiding you through user security, network management, storage, system troubleshooting, and advanced administration tasks like containers, virtualization, and scripting. With hands-on labs and practical exercises, youll gain the real-world experience needed to tackle exam questions and excel in your IT role. Dont just study–learn Linux the right way and unlock new career opportunities with confidence!

Skill Level
Intermediate

Course Requirements
None

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CompTIA CySA+ Cybersecurity Analyst (CS0-003)


4.12 GB | 16min 7s | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English
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FileName :001 Logging.mp4 | Size: (99.27 MB)
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FileName :003 Technology and Tool Integration.mp4 | Size: (50.16 MB)
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FileName :003 Application Symptoms.mp4 | Size: (72.31 MB)
FileName :004 Social Engineering.mp4 | Size: (56.06 MB)
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FileName :004 Enterprise SOC Tools.mp4 | Size: (44.99 MB)
FileName :005 File Analysis.mp4 | Size: (81.63 MB)
FileName :006 Email Analysis.mp4 | Size: (59.41 MB)
FileName :007 Sandboxing.mp4 | Size: (39.12 MB)
FileName :008 User Behavior Analysis.mp4 | Size: (44.86 MB)
FileName :009 Programming Languages.mp4 | Size: (26.57 MB)
FileName :001 Wireshark Demo.mp4 | Size: (59.82 MB)
FileName :002 WHOIS and AbuseIPDB Demo.mp4 | Size: (19.61 MB)
FileName :003 Strings Demo.mp4 | Size: (19.59 MB)
FileName :004 Hashing Demo.mp4 | Size: (29.95 MB)
FileName :005 Joe Sandbox Demo.mp4 | Size: (14.82 MB)
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FileName :011 OpenVAS Demo.mp4 | Size: (54.89 MB)
FileName :012 Debugger Tools.mp4 | Size: (21.07 MB)
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FileName :001 Controls.mp4 | Size: (24.41 MB)
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CompTIA Cloud+ Certification (CV0-004) Exam Prep Course


3.53 GB | 8min 41s | mp4 | 1920X1080 | 16:9
Genre:eLearning |Language:English
Files Included :
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FileName :004 Cloud Deployment Models.mp4 | Size: (48.69 MB)
FileName :005 Cloud-Based Systems and DevOps.mp4 | Size: (37.99 MB)
FileName :001 DevOps – Development and Operations.mp4 | Size: (23.32 MB)
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FileName :003 CICD Artifacts and Repositories.mp4 | Size: (111.58 MB)
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FileName :001 Storage Resources and Technologies.mp4 | Size: (47.48 MB)
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FileName :001 Understanding Virtualization.mp4 | Size: (74.97 MB)
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https://rapidgator.net/file/5cea8ab73889f055399a6cccb922f106/CompTIA.Cloud_.Certification.CV0-004.Exam.Prep.Course.part2.rar
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https://rapidgator.net/file/369ce99cfc3a0167a03bc59ef8ee309f/CompTIA.Cloud_.Certification.CV0-004.Exam.Prep.Course.part4.rar

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Complete React, Next.js & TypeScript Projects Course 2025


Complete React, Next.js & TypeScript Projects Course 2025
2025-01-21
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 49.12 GB | Duration: 100h 36m​

Hands-on React: 25+ Projects Featuring Next.js, TypeScript, Prisma, Zod, Shadcn, Axios, Router 6, Query 5, Redux Toolkit

What you’ll learn
Make Great Projects Using React

Requirements
Strong Knowledge of HTML, CSS, JS is Required. ES6 is optional.

Description
MAJOR COURSE UPDATE – JUNE 2024 !!!Exciting New Content in React CourseI’m thrilled to announce that I am adding more valuable content to our React course to help you stay ahead of industry standards. Here’s what you can look forward to:Comprehensive TypeScript tutorialDetailed lessons on React with TypeScriptComplete Next.js tutorial with TypeScriptSeveral complex Next.js projectsOver 30 hours of new content !!!Stay ahead with the latest industry standards and master the skills needed for modern React development!What’s New?TypeScript Integration:TypeScript Tutorial: Learn the basics and advanced features of TypeScript.React with TypeScript: Master the integration of TypeScript with React to build robust applications.Next.js Tutorials:Next.js with TypeScript: Comprehensive tutorials on building Next.js applications using TypeScript.Complex Next.js Projects: Work on real-world projects that leverage the full potential of Next.js.Why These Additions?Industry Standards: Both TypeScript and Next.js have become essential skills for modern React development.New React Features: Many new React features are only available through React frameworks like Next.js.Full-Stack Development: Next.js enables quicker and more efficient full-stack development by allowing server-side and client-side code to coexist seamlessly.Team Efficiency: TypeScript enhances code maintainability and collaboration, making it a preferred choice for large teams.Mastering React 18: Building Modern Web ApplicationsDive into the dynamic world of front-end development with our comprehensive course on React 18, a cutting-edge JavaScript library used for creating engaging user interfaces. Developed and maintained by Facebook, React has become a cornerstone in building both single-page and mobile applications.Why Learn React?High Demand: React’s popularity makes it a valuable skill for job seekers in the tech industry.Efficiency and Performance: React’s use of a virtual DOM ensures fast, scalable, and efficient application development.Flexibility and Reusability: The library’s design allows for reusable components, simplifying the development process and making code maintenance easier.Course Coverage:React Fundamentals: Understand the core principles of React.Latest Features: Get hands-on with React 18.Hooks & State Management: Deep dive into useState, useEffect, useRef, useReducer, useCallback, useMemo, and custom hooks.Advanced Concepts: Learn about conditional rendering, prop drilling, context API, and more.Navigation and Routing: Explore React Router 6 for seamless app navigation.Data Handling: Utilize axios and redux-toolkit for efficient data management.Project-Based Learning: Build over 25 real-world projects including a Birthday Reminder, E-Commerce Site, Quiz App, and a GitHub Users Explorer.Ideal For:Aspiring and experienced front-end developers looking to master React and elevate their web development skills. Whether you’re aiming to boost your career prospects or build high-performance web applications, this course is your gateway to becoming a proficient React developer.All Project Intros are available for preview.Here are some of the projects we are going to build in this course1. Birthday Buddy2. Tours3. Reviews4. Accordion5. Menu6. Tabs7. Slider8. Lorem Ipsum9. Color Generator10. Grocery Bud11. Navbar12. Sidebar and Modal13. Strapi Menu14. Cart15. Unsplash Images16. Contentful CMS17. Mix Master18. Tailwind Portfolio19. E-Commerce20. Jobster21. Github Users22. Jobster23. Comprehensive Full Stack Next.js E-Commerce Project

Who this course is for:
Everyone who wants to learn React

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Complete Python Programming Course: From Basics to Advanced


Complete Python Programming Course: From Basics to Advanced
Published 1/2026
Duration: 3h 55m | .MP4 1920×1080 30fps(r) | AAC, 44100Hz, 2ch | 2.43 GB
Genre: eLearning | Language: English​

Master Python from fundamentals to advanced concepts with hands-on practice

What you’ll learn

  • Installing Python and Setting Up The Development Environment
  • Variables and Assignment
  • Data Types: Integers, Floats, Strings, Booleans
  • Operators: Arithmetic, Comparison, Logical
  • Conditional Statements (if, elif, else)
  • Loops (for, while)
  • Break and Continue Statements
  • Creating Lists, Accessing Elements, List Methods
  • Creating Tuples, Accessing Elements, Tuple Methods
  • Creating Sets, Set Operations
  • Function Parameters and Arguments
  • Importing Modules
  • Scope of Variables
  • Classes and Objects
  • Attributes and Methods
  • Reading and Writing Data To Files
  • Working With Different File Modes
  • Installing and Importing Libraries
  • Working With NumPy Arrays
  • Data Analysis With Pandas
  • Data Visualization With Matplotlib
  • Connecting To Databases (e.g., SQLite, MySQL)

Requirements
– No prior python experience needed

Description
Complete Python Programming Course: From Basics to Advanced

This Complete Python Programming Course is designed to take you from the absolute basics to advanced Python concepts with confidence. Whether you’re a beginner or someone looking to strengthen your skills, this course will help you master python programming step by step.

You’ll start by learning Python fundamentals such as variables, data types, conditions, loops, and functions. As you progress, you’ll dive deeper into advanced Python topics including object oriented programming, error handling, working with files, and modules. The course focuses on practical learning, so you’ll write real Python code and apply your knowledge through exercises and examples.

Once you have a solid foundation, we move on to functions, modules, and reusable code. You’ll learn how to organize your programs efficiently, break problems into smaller tasks, and write Python scripts that are clean, readable, and maintainable. This section also introduces Python’s standard libraries, which allow you to do more with less code.

By the end of this course, you’ll have a solid understanding of python and how to use python programming to build programs, automate tasks, and solve real-world problems.

This course is perfect for beginners, students, and anyone who wants to learn python programming in a clear, structured, and practical way.

Enroll Now and Start Your Python Journey!

Who this course is for:

  • Beginners with no prior coding experience
  • Students learning python programming
  • Anyone looking to improve their Python skills
  • Anyone who wants to work with data using Python

More Info

RapidGator
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Complete Mysql Bootcamp: Learn Sql Step By Step


Complete Mysql Bootcamp: Learn Sql Step By Step
Published 7/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 978.86 MB | Duration: 3h 51m​

Build a strong foundation in SQL using MySQL – perfect for aspiring developers, analysts, and data enthusiasts.

What you’ll learn

Introduction to Databases and SQ

Basic SQL Syntax (SELECT, FROM, WHERE)

Installing and Configuring MySQL

Working with the MySQL Command-Line Client

Aggregate Functions (COUNT, SUM, AVG, MIN, MAX)

Common Table Expressions (CTEs)

SELECT Statement

WHERE Clause

ORDER BY and GROUP BY Clauses

INSERT, UPDATE and DELETE Statement

Joining Tables : Left, Right, Full Outer, Self and Cross

User Management and Permissions

Database Backup and Recovery

Database Monitoring and Troubleshooting

Performance Tuning

Access Control

Security Best Practices

Requirements

No MYSQL experience needed

Description

Are you ready to unlock the power of data? In today’s data-driven world, SQL is an essential skill for anyone looking to work with databases, analyze information, or build robust applications. Whether you’re a complete beginner with no prior coding experience or looking to solidify your foundational knowledge, this comprehensive MySQL Bootcamp is designed to take you from novice to confident SQL user.Why learn MySQL? MySQL is one of the most popular and widely used relational database management systems (RDBMS) in the world. It powers countless websites, applications, and enterprise systems, making it a highly sought-after skill for developers, data analysts, business intelligence professionals, and more. Mastering MySQL opens doors to exciting career opportunities and empowers you to manage, manipulate, and extract valuable insights from data.What you’ll learn in this course:This bootcamp is built with a hands-on, practical approach, guiding you through every concept with clear explanations and real-world examples. You’ll not only understand what to do but also why you’re doing it.Fundamentals of Relational Databases: Grasp the core concepts of databases, tables, columns, rows, and relationships.Setting Up Your Environment: Get started quickly with easy-to-follow instructions for installing MySQL and a powerful GUI tool.Basic SQL Commands: Master the essential SELECT, FROM, WHERE, AND, OR, NOT, ORDER BY, LIMIT, and DISTINCT clauses to query and filter your data.Data Manipulation Language (DML): Learn to insert, update, and delete records efficiently using INSERT INTO, UPDATE, and DELETE FROM.Working with Data Types: Understand different data types and how to choose the appropriate one for your data.Aggregate Functions: Unleash the power of COUNT, SUM, AVG, MIN, and MAX to summarize and analyze your data.Grouping Data: Use GROUP BY and HAVING to perform powerful aggregations on specific data subsets.Joining Tables: Connect and retrieve data from multiple tables using INNER JOIN, LEFT JOIN, RIGHT JOIN, and FULL OUTER JOIN (simulated).Subqueries: Write complex queries by embedding one query within another.Database Design Principles: Learn best practices for designing efficient and scalable database schemas.Creating and Modifying Tables: Understand Data Definition Language (DDL) commands like CREATE TABLE, ALTER TABLE, and DROP TABLE.Indexes for Performance: Optimize your queries and improve database performance with indexes.Transactions: Learn about ACID properties and how to manage data integrity with COMMIT and ROLLBACK.Views: Simplify complex queries and enhance security with database views.And much more! What you’ll gain:A solid, practical understanding of SQL and MySQL.The ability to confidently query, manipulate, and manage relational databases.Skills to extract meaningful insights from data.A strong foundation for more advanced database topics.A portfolio of practical SQL queries and projects.Enroll now and take the first step towards becoming a MySQL master!

Overview

Section 1: Introduction to Databases and SQL

Lecture 1 Introduction to SQL (Structured Query Language)

Lecture 2 Basic SQL Syntax (SELECT, FROM, WHERE)

Section 2: MySQL Fundamentals

Lecture 3 Installing and Configuring MySQL

Lecture 4 Working with the MySQL Command-Line Client

Lecture 5 Creating and Managing Databases

Lecture 6 Creating and Managing Tables

Lecture 7 Data Types in MySQL

Lecture 8 Working with Constraints (Primary Key, Foreign Key, Unique)

Section 3: Core SQL Queries

Lecture 9 SELECT Statement (Advanced)

Lecture 10 WHERE Clause (Advanced)

Lecture 11 ORDER BY and GROUP BY Clauses

Lecture 12 HAVING Clause

Lecture 13 Aggregate Functions (COUNT, SUM, AVG, MIN, MAX)

Section 4: Data Manipulation

Lecture 14 INSERT Statement

Lecture 15 UPDATE Statement

Lecture 16 DELETE Statement

Section 5: Joining Tables

Lecture 17 INNER JOIN

Lecture 18 LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN

Lecture 19 Self-Join

Lecture 20 Cross Join

Section 6: Advanced SQL

Lecture 21 Views

Lecture 22 Indexes

Lecture 23 Functions

Lecture 24 Triggers

Section 7: Database Administration

Lecture 25 User Management and Permissions

Lecture 26 Database Backup and Recovery

Lecture 27 Database Monitoring and Troubleshooting

Section 8: Database Security

Lecture 28 Security Best Practices

Lecture 29 Encryption

Anyone who want interested in MYSQL database,Student / Professional,Aspiring Data Analyst,Aspiring Database Developer

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Complete Machine Learning & Data Science with Python | A-Z

Year of issue : 4/2025
Manufacturer’s website : Code:Copy to clipboard

https://www.udemy.com/course/complete-machine-learning-data-science-with-python-a-z/

Author : Oak Academy, OAK Academy Team
Duration : 8h 34m 19s
Type of distributed material : Video lesson
Language : En
Subtitles : En

Description:
Use Scikit, learn NumPy, Pandas, Matplotlib, Seaborn and dive into machine learning A-Z with Python and Data Science.
What you’ll learn
Machine learning isn’t just useful for predictive texting or smartphone voice recognition. Machine learning is constantly being applied to new industries.

Learn Machine Learning with Hands-On Examples

What is Machine Learning?

Machine Learning Terminology

Evaluation Metrics

What are Classification vs Regression?

Evaluating Performance-Classification Error Metrics

Evaluating Performance-Regression Error Metrics
Requirements
Basic knowledge of Python Programming Language

Be Able To Operate & Install Software On A Computer

Free software and tools used during the machine learning a-z course

Determination to learn machine learning and patience.

Motivation to learn the the second largest number of job postings relative program language among all others

Data visualization libraries in python such as seaborn, matplotlib

Curiosity for machine learning python

Desire to learn Python

Desire to work on python machine learning

Desire to learn matplotlib

Desire to learn pandas

Desire to learn numpy

Desire to work on seaborn

Desire to learn machine learning a-z, complete machine learning
Description
Hello there,
Welcome to the "Complete Machine Learning & Data Science with Python | A-Z" course
Use Scikit, learn NumPy, Pandas, Matplotlib, Seaborn, and dive into machine learning A-Z with Python and Data Science
Machine learning isn’t just useful for predictive texting or smartphone voice recognition Machine learning is constantly being applied to new industries and new problems Whether you’re a marketer, video game designer, or programmer, my course on OAK Academy here to help you apply machine learning to your work Complete machine learning & data science with python | a-z, machine learning a-z, Complete machine learning & data science with python, complete machine learning and data science with python a-z, machine learning using python, complete machine learning and data science, machine learning, complete machine learning, data science
It’s hard to imagine our lives without machine learning Predictive texting, email filtering, and virtual personal assistants like Amazon’s Alexa and the iPhone’s Siri, are all technologies that function based on machine learning algorithms and mathematical models Python, machine learning, django, python programming, machine learning python, python for beginners, data science
Python instructors on OAK Academy specialize in everything from software development to data analysis, and are known for their effective, friendly instruction for students of all levels

Do you know data science needs will create 11 5 million job openings by 2026?
Do you know the average salary is $100 000 for data science careers!
Data Science Careers Are Shaping The Future
Data science experts are needed in almost every field, from government security to dating apps Millions of businesses and government departments rely on big data to succeed and better serve their customers So data science careers are in high demand
If you want to learn one of the employer’s most request skills?

If you are curious about Data Science and looking to start your self-learning journey into the world of data with Python?

If you are an experienced developer and looking for a landing in Data Science!
In all cases, you are at the right place!
We’ve designed for you "Complete Machine Learning & Data Science with Python | A-Z" a straightforward course for Python Programming Language and Machine Learning
In the course, you will have down-to-earth way explanations with projects With this course, you will learn machine learning step-by-step I made it simple and easy with exercises, challenges, and lots of real-life examples
We will open the door of the Data Science and Machine Learning a-z world and will move deeper You will learn the fundamentals of Machine Learning A-Z and its beautiful libraries such as Scikit Learn
Throughout the course, we will teach you how to use Python to analyze data, create beautiful visualizations, and use powerful machine learning python algorithms
This Machine Learning course is for everyone!
My " Machine Learning with Hands-On Examples in Data Science" is for everyone! If you don’t have any previous experience, not a problem! This course is expertly designed to teach everyone from complete beginners, right through to professionals ( as a refresher)
Why we use a Python programming language in Machine learning?
Python is a general-purpose, high-level, and multi-purpose programming language The best thing about Python is, it supports a lot of today’s technology including vast libraries for Twitter, data mining, scientific calculations, designing, back-end server for websites, engineering simulations, artificial learning, augmented reality and what not! Also, it supports all kinds of App development

During the course you will learn the following topics:
What is Machine Learning?

More About Machine Learning

Machine Learning Terminology

Evaluation Metrics

What is Classification vs Regression?

Evaluating Performance-Classification Error Metrics

Evaluating Performance-Regression Error Metrics

Machine Learning with Python

Supervised Learning

Cross-Validation and Bias Variance Trade-Off

Use Matplotlib and seaborn for data visualizations

Machine Learning with SciKit Learn

Linear Regression Theory

Logistic Regression Theory

Logistic Regression with Python

K Nearest Neighbors Algorithm Theory

K Nearest Neighbors Algorithm With Python

K Nearest Neighbors Algorithm Project Overview

K Nearest Neighbors Algorithm Project Solutions

Decision Trees And Random Forest Algorithm Theory

Decision Trees And Random Forest Algorithm With Python

Decision Trees And Random Forest Algorithm Project Overview

Decision Trees And Random Forest Algorithm Project Solutions

Support Vector Machines Algorithm Theory

Support Vector Machines Algorithm With Python

Support Vector Machines Algorithm Project Overview

Support Vector Machines Algorithm Project Solutions

Unsupervised Learning Overview

K Means Clustering Algorithm Theory

K Means Clustering Algorithm With Python

K Means Clustering Algorithm Project Overview

K Means Clustering Algorithm Project Solutions

Hierarchical Clustering Algorithm Theory

Hierarchical Clustering Algorithm With Python

Principal Component Analysis (PCA) Theory

Principal Component Analysis (PCA) With Python

Recommender System Algorithm Theory

Recommender System Algorithm With Python

Complete machine learning

Python machine learning

Machine learning a-z

Who this course is for:
Machine learning isn’t just useful for predictive texting or smartphone voice recognition. Machine learning is constantly being applied to new industries and new problems. It is for everyone

Anyone who wants to start learning "Machine Learning"

Anyone who needs a complete guide on how to start and continue their career with machine learning

Software developer who wants to learn "Machine Learning"

Students Interested in Beginning Data Science Applications in Python Environment

People Wanting to Specialize in Anaconda Python Environment for Data Science and Scientific Computing

Students Wanting to Learn the Application of Supervised Learning (Classification) on Real Data Using Python

Anyone eager to learn python for data science and machine learning bootcamp with no coding background

Anyone interested in data sciences

Anyone who plans a career in data scientist,

Software developer whom want to learn python,

Anyone interested in machine learning a-z

People who want to become data scientist

People who want to learn machine learning a-z

Poeple who want tp learn complete machine learning

Video format : MP4
Video : avc, 1280×720, 16:9, 30,000 fps, 314 kbps
Audio : aac lc sbr, 44.1 kHz, 62.8 kbps, 2 audio

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Udemy – Complete Machine Learning & Data Science with Python A-Z (4.2025) (1.53 GB)
UsersDrive Link(s)
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https://usersdrive.com/iq2ma13kfd7s.html

RapidGator Link(s)
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https://rapidgator.net/file/ab902afc110a2d431a18d49bd9ce0393/Udemy.-.Complete.Machine.Learning..Data.Science.with.Python..A-Z.4.2025.rar

Complete Intro to React, v9


Complete Intro to React, v9
.MP4, AVC, 1920×1080, 30 fps | English, AAC, 2 Ch | 11h 57m | 1.87 GB
Instructor: Brian Holt​

Key Takeaways

By participating along with us in the workshop, you’ll learn:

  • Learn the latest APIs like hooks, suspense, and effects in React 19.
  • Learn how to build production-ready React applications.
  • Learn the tools necessary to package client-side applications.
  • Find out how to use tools like Prettier and ESLint to maintain high-quality code.
  • Learn how to write React with and without JSX so you can understand how React works.
  • Learn how to write a single page application using Tanstack Router.

Is This Workshop for Me?

This is a complete intro to React with no experience with React or any of the tools is necessary. The course does require a solid foundation in HTML, CSS, and JavaScript.

Workshop Details

In addition to updating all the tools to the latest-and-greatest versions, Complete Intro to React v9 has restructured the workshop to focus more on teaching you core React principles while not sacrificing any of the instruction on the tooling. In this 2-day training, Brian Holt guides attendees from knowing nothing or very little to be able to ship production-ready React apps!

Any Prerequisites?

  • You should be comfortable with JavaScript.
  • No React knowledge is required, but the workshop does move at a fast pace, so some experience is helpful.
  • Experience with Node/NPM and the commandline will also be helpful

More Info

RapidGator
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https://rapidgator.net/file/ee1a7ed46f343684b1274a075403e7e6/Complete.Intro.to.React.v9.part1.rar
https://rapidgator.net/file/fd2fb5c6415b6dd0c8dbd83c5839e566/Complete.Intro.to.React.v9.part2.rar

DDownload
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https://ddownload.com/os3vi4ncnpvq/Complete.Intro.to.React.v9.part2.rar

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UsersDrive
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https://usersdrive.com/e9vaxoo63vlu/Complete.Intro.to.React.v9.part2.rar