Sites to earn FREE certificates:
1. https://kaggle.com
SQL, ML, DL, Data Science
2. https://freecodecamp.org
Front-end, Back-end, Python, ML
3. https://cognitiveclass.ai
Blockchain, Data Science, AI, Cloud, Serverless,
Docker, Kubernetes
4. https://matlabacademy.mathworks.com
AI/ML, DL
5. https://learn.mongodb.com
MongoDB
6. https://learn.microsoft.com *
.NET, Azure, GitHub, SQL Server
7. https://bit.ly/3rDjJcs
https://bit.ly/389I0js
Finance, Stock Markets
8. https://bit.ly/3hYp1NS
Jobs, Internships
9. https://trailhead.salesforce.com
Salesforce, Blockchain
10. https://spoken-tutorial.org
C, C++, Java, Python, JavaScript
11. https://bit.ly/3ro23nM
4000+ Free Courses With Certificates & Diplomas
ENJOY LEARNING 👍👍
1. https://kaggle.com
SQL, ML, DL, Data Science
2. https://freecodecamp.org
Front-end, Back-end, Python, ML
3. https://cognitiveclass.ai
Blockchain, Data Science, AI, Cloud, Serverless,
Docker, Kubernetes
4. https://matlabacademy.mathworks.com
AI/ML, DL
5. https://learn.mongodb.com
MongoDB
6. https://learn.microsoft.com *
.NET, Azure, GitHub, SQL Server
7. https://bit.ly/3rDjJcs
https://bit.ly/389I0js
Finance, Stock Markets
8. https://bit.ly/3hYp1NS
Jobs, Internships
9. https://trailhead.salesforce.com
Salesforce, Blockchain
10. https://spoken-tutorial.org
C, C++, Java, Python, JavaScript
11. https://bit.ly/3ro23nM
4000+ Free Courses With Certificates & Diplomas
ENJOY LEARNING 👍👍
👍5
Linux System Administrator Roadmap🐧💻
├── 🔹 Foundations
│ ├── 🔸 Basic Linux Concepts
│ │ ├── 📂 File System Hierarchy
│ │ ├── 🔑 Permissions and Ownership
│ │ ├── 🔄 Processes and Daemons
│ │ └── 🖥️ Basic Commands (ls, cd, cp, mv, rm, etc.)
│ ├── 🔸 Shell and Scripting
│ │ ├── 📝 Bash Scripting
│ │ ├── 🔧 Basic Automation
│ │ └── 🛠️ Common Shell Commands (grep, awk, sed)
│ ├── 🔸 Networking Fundamentals
│ │ ├── 🌐 TCP/IP Stack
│ │ ├── 🌍 DNS Configuration
│ │ ├── 🔌 Network Interfaces
│ │ └── 🛠️ Basic Network Troubleshooting (ping, traceroute, netstat)
│ └── 🔸 System Installation and Configuration
│ ├── 💿 Installation Methods (ISO, PXE)
│ ├── 🗂️ Disk Partitioning and File Systems
│ └── 🔒 Initial Configuration and Hardening
├── 🔹 System Administration
│ ├── 🔸 User and Group Management
│ │ ├── 👤 User Accounts
│ │ ├── 👥 Group Policies
│ │ └── 🔑 sudo Configuration
│ ├── 🔸 Package Management
│ │ ├── 📦 RPM and YUM (RHEL/CentOS)
│ │ ├── 📦 APT (Debian/Ubuntu)
│ │ └── 🔧 Compiling from Source
│ ├── 🔸 Process Management
│ │ ├── 🔄 Systemd and Init
│ │ ├── 👀 Monitoring and Controlling Processes
│ │ └── 🕒 Crontab and Scheduled Tasks
│ ├── 🔸 Filesystem Management
│ │ ├── 🗂️ Mounting and Unmounting File Systems
│ │ ├── 📁 NFS and Samba
│ │ └── 📊 Disk Quotas
│ └── 🔸 Security
│ ├── 🔥 Firewalls (iptables, firewalld)
│ ├── 🛡️ SELinux and AppArmor
│ ├── 🔒 SSH Configuration and Hardening
│ └── 📝 Auditing and Logging
├── 🔹 Networking and Services
│ ├── 🔸 Network Configuration
│ │ ├── 🌐 Static and Dynamic IP Addressing
│ │ ├── 🔌 Network Bonding and Bridging
│ │ └── 📶 VLANs
│ ├── 🔸 Web Services
│ │ ├── 🌐 Apache and Nginx
│ │ ├── 🔐 HTTPS and SSL/TLS
│ │ ├── ↔️ Reverse Proxies
│ │ └── 🛡️ Web Application Firewalls (WAF)
│ ├── 🔸 Database Management
│ │ ├── 💾 MySQL/MariaDB
│ │ ├── 💾 PostgreSQL
│ │ ├── 📂 NoSQL Databases (e.g., MongoDB)
│ │ └── 🔄 Backup and Restore
│ ├── 🔸 Email Services
│ │ ├── ✉️ Postfix and Sendmail
│ │ └── 🚫 Spam Filtering
│ └── 🔸 File and Print Services
│ ├── 📁 Samba
│ ├── 📁 NFS
│ └── 🖨️ CUPS
├── 🔹 Advanced Administration
│ ├── 🔸 Virtualization
│ │ ├── 💻 KVM and QEMU
│ │ ├── 📦 VirtualBox
│ │ └── 🔧 Libvirt
│ ├── 🔸 Containerization
│ │ ├── 🐳 Docker
│ │ ├── ☸️ Kubernetes
│ │ └── 🔧 Podman
│ ├── 🔸 Cloud Computing
│ │ ├── ☁️ AWS
│ │ ├── ☁️ Azure
│ │ ├── ☁️ OpenStack
│ │ └── ☁️ GCP (Google Cloud Platform)
│ ├── 🔸 Configuration Management
│ │ ├── 🤖 Ansible
│ │ ├── 🎭 Puppet
│ │ ├── 🍴 Chef
│ │ └── 🧂 SaltStack
│ └── 🔸 High Availability
│ ├── 🔗 Clustering (Pacemaker, Corosync)
│ ├── ⚖️ Load Balancing (HAProxy, Nginx)
│ └── 🔄 Backup and Disaster Recovery
├── 🔹 Monitoring and Performance
│ ├── 🔸 System Monitoring
│ │ ├── 🔧 Tools (Nagios, Zabbix, Prometheus, Grafana)
│ │ └── 📝 Log Management (ELK Stack, Graylog)
│ ├── 🔸 Performance Tuning
│ │ ├── 🧠 CPU and Memory Optimization
│ │ ├── 💾 Disk I/O Performance
│ │ └── 🌐 Network Performance
│ └── 🔸 Troubleshooting
│ ├── 📝 Log Analysis
│ ├── 🔍 Common Issues and Solutions
│ ├── 🚧 Performance Bottlenecks
│ └── 🔧 Kernel Tuning
├── 🔹 Scripting and Automation
│ ├── 🔸 Advanced Scripting
│ │ ├── 📜 Shell Scripting (Advanced)
│ │ ├── 🐍 Python Scripting
│ │ └── 🤖 Task Automation
│ └── 🔸 Infrastructure as Code (IaC)
│ ├── 🌍 Terraform
│ ├── ☁️ CloudFormation
│ └── 🔄 CI/CD Pipelines (Jenkins, GitLab CI)
└── 🔹 Security and Compliance
├── 🔸 Security Best Practices
│ ├── 🔒 System Hardening
│ └──🔄 Regular Updates and Patching
└── 🔍 Security Auditing Tools (e.g., Lynis, OpenVAS)
├── 🔹 Foundations
│ ├── 🔸 Basic Linux Concepts
│ │ ├── 📂 File System Hierarchy
│ │ ├── 🔑 Permissions and Ownership
│ │ ├── 🔄 Processes and Daemons
│ │ └── 🖥️ Basic Commands (ls, cd, cp, mv, rm, etc.)
│ ├── 🔸 Shell and Scripting
│ │ ├── 📝 Bash Scripting
│ │ ├── 🔧 Basic Automation
│ │ └── 🛠️ Common Shell Commands (grep, awk, sed)
│ ├── 🔸 Networking Fundamentals
│ │ ├── 🌐 TCP/IP Stack
│ │ ├── 🌍 DNS Configuration
│ │ ├── 🔌 Network Interfaces
│ │ └── 🛠️ Basic Network Troubleshooting (ping, traceroute, netstat)
│ └── 🔸 System Installation and Configuration
│ ├── 💿 Installation Methods (ISO, PXE)
│ ├── 🗂️ Disk Partitioning and File Systems
│ └── 🔒 Initial Configuration and Hardening
├── 🔹 System Administration
│ ├── 🔸 User and Group Management
│ │ ├── 👤 User Accounts
│ │ ├── 👥 Group Policies
│ │ └── 🔑 sudo Configuration
│ ├── 🔸 Package Management
│ │ ├── 📦 RPM and YUM (RHEL/CentOS)
│ │ ├── 📦 APT (Debian/Ubuntu)
│ │ └── 🔧 Compiling from Source
│ ├── 🔸 Process Management
│ │ ├── 🔄 Systemd and Init
│ │ ├── 👀 Monitoring and Controlling Processes
│ │ └── 🕒 Crontab and Scheduled Tasks
│ ├── 🔸 Filesystem Management
│ │ ├── 🗂️ Mounting and Unmounting File Systems
│ │ ├── 📁 NFS and Samba
│ │ └── 📊 Disk Quotas
│ └── 🔸 Security
│ ├── 🔥 Firewalls (iptables, firewalld)
│ ├── 🛡️ SELinux and AppArmor
│ ├── 🔒 SSH Configuration and Hardening
│ └── 📝 Auditing and Logging
├── 🔹 Networking and Services
│ ├── 🔸 Network Configuration
│ │ ├── 🌐 Static and Dynamic IP Addressing
│ │ ├── 🔌 Network Bonding and Bridging
│ │ └── 📶 VLANs
│ ├── 🔸 Web Services
│ │ ├── 🌐 Apache and Nginx
│ │ ├── 🔐 HTTPS and SSL/TLS
│ │ ├── ↔️ Reverse Proxies
│ │ └── 🛡️ Web Application Firewalls (WAF)
│ ├── 🔸 Database Management
│ │ ├── 💾 MySQL/MariaDB
│ │ ├── 💾 PostgreSQL
│ │ ├── 📂 NoSQL Databases (e.g., MongoDB)
│ │ └── 🔄 Backup and Restore
│ ├── 🔸 Email Services
│ │ ├── ✉️ Postfix and Sendmail
│ │ └── 🚫 Spam Filtering
│ └── 🔸 File and Print Services
│ ├── 📁 Samba
│ ├── 📁 NFS
│ └── 🖨️ CUPS
├── 🔹 Advanced Administration
│ ├── 🔸 Virtualization
│ │ ├── 💻 KVM and QEMU
│ │ ├── 📦 VirtualBox
│ │ └── 🔧 Libvirt
│ ├── 🔸 Containerization
│ │ ├── 🐳 Docker
│ │ ├── ☸️ Kubernetes
│ │ └── 🔧 Podman
│ ├── 🔸 Cloud Computing
│ │ ├── ☁️ AWS
│ │ ├── ☁️ Azure
│ │ ├── ☁️ OpenStack
│ │ └── ☁️ GCP (Google Cloud Platform)
│ ├── 🔸 Configuration Management
│ │ ├── 🤖 Ansible
│ │ ├── 🎭 Puppet
│ │ ├── 🍴 Chef
│ │ └── 🧂 SaltStack
│ └── 🔸 High Availability
│ ├── 🔗 Clustering (Pacemaker, Corosync)
│ ├── ⚖️ Load Balancing (HAProxy, Nginx)
│ └── 🔄 Backup and Disaster Recovery
├── 🔹 Monitoring and Performance
│ ├── 🔸 System Monitoring
│ │ ├── 🔧 Tools (Nagios, Zabbix, Prometheus, Grafana)
│ │ └── 📝 Log Management (ELK Stack, Graylog)
│ ├── 🔸 Performance Tuning
│ │ ├── 🧠 CPU and Memory Optimization
│ │ ├── 💾 Disk I/O Performance
│ │ └── 🌐 Network Performance
│ └── 🔸 Troubleshooting
│ ├── 📝 Log Analysis
│ ├── 🔍 Common Issues and Solutions
│ ├── 🚧 Performance Bottlenecks
│ └── 🔧 Kernel Tuning
├── 🔹 Scripting and Automation
│ ├── 🔸 Advanced Scripting
│ │ ├── 📜 Shell Scripting (Advanced)
│ │ ├── 🐍 Python Scripting
│ │ └── 🤖 Task Automation
│ └── 🔸 Infrastructure as Code (IaC)
│ ├── 🌍 Terraform
│ ├── ☁️ CloudFormation
│ └── 🔄 CI/CD Pipelines (Jenkins, GitLab CI)
└── 🔹 Security and Compliance
├── 🔸 Security Best Practices
│ ├── 🔒 System Hardening
│ └──🔄 Regular Updates and Patching
└── 🔍 Security Auditing Tools (e.g., Lynis, OpenVAS)
👍4❤1
Hi guys,
I got this query from many people asking if there is any demand for web development, data science, machine learning, cybersecurity or similar fields in the future. Many people who are new to these fields are wondering if AI would replace their jobs or if these fields will still be relevant.
The short answer is yes, there is still a significant demand for these skills, and they are expected to remain relevant for the foreseeable future. Here's a breakdown of each field:
1. Web Development: With the continuous growth of the internet and the increasing number of online businesses, web development remains a vital skill. The demand for dynamic and responsive websites, as well as web applications, ensures that web developers will always have opportunities.
2. Data Science: As companies accumulate more data, the need for skilled data scientists to analyze and interpret this data is growing. Data-driven decision-making is becoming essential for businesses, making data science a highly sought-after field.
3. Machine Learning: Machine learning is a subset of AI that involves teaching computers to learn from data. Its applications range from recommendation systems to predictive analytics and autonomous systems. The field is rapidly expanding and is expected to create numerous job opportunities.
4. Cybersecurity: With the increasing number of cyber threats and attacks, cybersecurity has become a top priority for organizations. Professionals in this field are crucial for protecting sensitive information and ensuring the security of digital infrastructure.
While AI is indeed advancing and automating many tasks, it is also creating new opportunities and fields of study. AI will likely augment rather than replace professionals in these areas, enabling them to work more efficiently and effectively. Adapting to new technologies and continuously upskilling will be key to staying relevant in the evolving job market.
In conclusion, take an overview of each field and see if that interests you. Pick up a field which you can do for years which will make you an expert in long run. Experts are highly valued & irreplaceable in any field. AI might automate simple tasks, but it can't replace the depth of experience and expertise you bring.
Give your best, leave the rest ✅
I got this query from many people asking if there is any demand for web development, data science, machine learning, cybersecurity or similar fields in the future. Many people who are new to these fields are wondering if AI would replace their jobs or if these fields will still be relevant.
The short answer is yes, there is still a significant demand for these skills, and they are expected to remain relevant for the foreseeable future. Here's a breakdown of each field:
1. Web Development: With the continuous growth of the internet and the increasing number of online businesses, web development remains a vital skill. The demand for dynamic and responsive websites, as well as web applications, ensures that web developers will always have opportunities.
2. Data Science: As companies accumulate more data, the need for skilled data scientists to analyze and interpret this data is growing. Data-driven decision-making is becoming essential for businesses, making data science a highly sought-after field.
3. Machine Learning: Machine learning is a subset of AI that involves teaching computers to learn from data. Its applications range from recommendation systems to predictive analytics and autonomous systems. The field is rapidly expanding and is expected to create numerous job opportunities.
4. Cybersecurity: With the increasing number of cyber threats and attacks, cybersecurity has become a top priority for organizations. Professionals in this field are crucial for protecting sensitive information and ensuring the security of digital infrastructure.
While AI is indeed advancing and automating many tasks, it is also creating new opportunities and fields of study. AI will likely augment rather than replace professionals in these areas, enabling them to work more efficiently and effectively. Adapting to new technologies and continuously upskilling will be key to staying relevant in the evolving job market.
In conclusion, take an overview of each field and see if that interests you. Pick up a field which you can do for years which will make you an expert in long run. Experts are highly valued & irreplaceable in any field. AI might automate simple tasks, but it can't replace the depth of experience and expertise you bring.
Give your best, leave the rest ✅
👍2
🔎 How to generate a photo of a non-existent person! 🔎
😎 If you want to create a fake account on a social network, you can use another person's photo, but this is not the best option. It is better to use the following service to generate photos of non-existent people:
🤯. Open this website: https://thispersondoesnotexist.com/
🤯. Visiting the website, we immediately get a photo of a non-existent person.
🤯. Updating the page, you will see a new generated image.
⚠️ That's it, you can update the resource until you are satisfied with the photo. The site works very fast which is an undoubted plus. Many sites based on the work of artificial intelligence are often very slow. ⚠️
➡️ Need 200 Reactions on this Post
😎 If you want to create a fake account on a social network, you can use another person's photo, but this is not the best option. It is better to use the following service to generate photos of non-existent people:
🤯. Open this website: https://thispersondoesnotexist.com/
🤯. Visiting the website, we immediately get a photo of a non-existent person.
🤯. Updating the page, you will see a new generated image.
⚠️ That's it, you can update the resource until you are satisfied with the photo. The site works very fast which is an undoubted plus. Many sites based on the work of artificial intelligence are often very slow. ⚠️
➡️ Need 200 Reactions on this Post
👍12
Let's explore different data fields today 😄
❤4
👍3
Top 21 skills to learn this year 👇
1. Artificial Intelligence and Machine Learning: Understanding AI algorithms and applications.
2. Data Science: Proficiency in tools like Python/ R, Jupyter Notebook, and GitHub, with the ability to apply data science algorithms to solve real-world problems.
3. Cybersecurity: Protecting data and systems from cyber threats.
4. Cloud Computing: Proficiency in platforms like AWS, Azure, and Google Cloud.
5. Blockchain Technology: Understanding blockchain architecture and applications beyond cryptocurrencies.
6. Digital Marketing: Expertise in SEO, social media, and online advertising.
7. Programming: Skills in languages such as Python, JavaScript, and Go.
8. UX/UI Design: Creating intuitive and effective user interfaces and experiences.
9. Consulting: Expertise in providing strategic advice, improving business processes, and implementing solutions to drive business growth.
10. Data Analysis and Visualization: Proficiency in tools like Excel, SQL, Tableau, and Power BI to analyze and present data effectively.
11. Business Analysis & Project Management: Using tools and methodologies like Agile and Scrum.
12. Remote Work Tools: Proficiency in tools for remote collaboration and productivity.
13. Financial Literacy: Understanding personal finance, investment, and cryptocurrencies.
14. Emotional Intelligence: Skills in empathy, communication, and relationship management.
15. Business Acumen: A deep understanding of how businesses operate, including strategic thinking, market analysis, and financial literacy.
16. Investment Banking: Knowledge of financial markets, valuation methods, mergers and acquisitions, and financial modeling.
17. Mobile App Development: Skills in developing apps for iOS and Android using Swift, Kotlin, or React Native.
18. Financial Management: Proficiency in financial planning, analysis, and tools like QuickBooks and SAP.
19. Web Development: Proficiency in front-end and back-end development using HTML, CSS, JavaScript, and frameworks like React, Angular, and Node.js.
20. Data Engineering: Skills in designing, building, and maintaining data pipelines and architectures using tools like Hadoop, Spark, and Kafka.
21. Soft Skills: Improving leadership, teamwork, and adaptability skills.
Join for more: 👇
https://t.iss.one/free4unow_backup
ENJOY LEARNING 👍👍
1. Artificial Intelligence and Machine Learning: Understanding AI algorithms and applications.
2. Data Science: Proficiency in tools like Python/ R, Jupyter Notebook, and GitHub, with the ability to apply data science algorithms to solve real-world problems.
3. Cybersecurity: Protecting data and systems from cyber threats.
4. Cloud Computing: Proficiency in platforms like AWS, Azure, and Google Cloud.
5. Blockchain Technology: Understanding blockchain architecture and applications beyond cryptocurrencies.
6. Digital Marketing: Expertise in SEO, social media, and online advertising.
7. Programming: Skills in languages such as Python, JavaScript, and Go.
8. UX/UI Design: Creating intuitive and effective user interfaces and experiences.
9. Consulting: Expertise in providing strategic advice, improving business processes, and implementing solutions to drive business growth.
10. Data Analysis and Visualization: Proficiency in tools like Excel, SQL, Tableau, and Power BI to analyze and present data effectively.
11. Business Analysis & Project Management: Using tools and methodologies like Agile and Scrum.
12. Remote Work Tools: Proficiency in tools for remote collaboration and productivity.
13. Financial Literacy: Understanding personal finance, investment, and cryptocurrencies.
14. Emotional Intelligence: Skills in empathy, communication, and relationship management.
15. Business Acumen: A deep understanding of how businesses operate, including strategic thinking, market analysis, and financial literacy.
16. Investment Banking: Knowledge of financial markets, valuation methods, mergers and acquisitions, and financial modeling.
17. Mobile App Development: Skills in developing apps for iOS and Android using Swift, Kotlin, or React Native.
18. Financial Management: Proficiency in financial planning, analysis, and tools like QuickBooks and SAP.
19. Web Development: Proficiency in front-end and back-end development using HTML, CSS, JavaScript, and frameworks like React, Angular, and Node.js.
20. Data Engineering: Skills in designing, building, and maintaining data pipelines and architectures using tools like Hadoop, Spark, and Kafka.
21. Soft Skills: Improving leadership, teamwork, and adaptability skills.
Join for more: 👇
https://t.iss.one/free4unow_backup
ENJOY LEARNING 👍👍
👍4❤2
Useful Telegram Channels to boost your career in 2025 😄👇
Free Courses with Certificate
Web Development
Data Science & Machine Learning
Programming books
Python Free Courses
Data Analytics
Ethical Hacking & Cyber Security
English Speaking & Communication
Stock Marketing & Investment Banking
Excel
ChatGPT Hacks
SQL
Tableau & Power BI
Coding Projects
Data Science Projects
Jobs & Internship Opportunities
Coding Interviews
Udemy Free Courses with Certificate
Data Analyst Interview
Data Analyst Jobs
Python Interview
ChatGPT Hacks
ENJOY LEARNING 👍👍
Free Courses with Certificate
Web Development
Data Science & Machine Learning
Programming books
Python Free Courses
Data Analytics
Ethical Hacking & Cyber Security
English Speaking & Communication
Stock Marketing & Investment Banking
Excel
ChatGPT Hacks
SQL
Tableau & Power BI
Coding Projects
Data Science Projects
Jobs & Internship Opportunities
Coding Interviews
Udemy Free Courses with Certificate
Data Analyst Interview
Data Analyst Jobs
Python Interview
ChatGPT Hacks
ENJOY LEARNING 👍👍
👍3