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Introduction to Artificial Intelligence (AI)Artificial Intelligence (AI) refers to the simulation of human intelligence processes by...0 Commentaires 0 Parts 954 Vue 0 Aperçu
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Tech skills refer to the abilities and knowledge needed to perform tasks that require the use of technology, especially in areas related to computer systems, software, hardware, and various technological tools. Here are some common tech skills:
1. Programming Languages:
Python, Java, C++, JavaScript, HTML/CSS for web development, software, and app development.
SQL for database management.
R, MATLAB for data science and analytics.
2. Web Development:
Front-end: HTML, CSS, JavaScript, React, Angular, Vue.js.
Back-end: Node.js, Ruby on Rails, Django, Flask, PHP, Java.
Web frameworks like Bootstrap for building responsive web pages.
3. Cloud Computing:
AWS, Microsoft Azure, Google Cloud for hosting, storage, and cloud services.
Familiarity with cloud architecture, virtual machines, and serverless computing.
4. Data Science & Analytics:
Data analysis with tools like Excel, Tableau, Power BI.
Programming in Python (Pandas, NumPy), R, and data visualization techniques.
Machine Learning using libraries such as TensorFlow, PyTorch, Scikit-learn.
5. Cybersecurity:
Knowledge of firewalls, encryption, network security, and protocols.
Familiarity with ethical hacking tools (e.g., Metasploit, Wireshark).
Understanding of penetration testing, intrusion detection systems (IDS), and threat analysis.
6. DevOps & Automation:
Tools like Docker, Kubernetes, Jenkins, and CI/CD pipelines for continuous integration and deployment.
Automation using Ansible, Terraform, or Puppet.
7. Mobile App Development:
Knowledge of iOS (Swift, Objective-C) or Android (Java, Kotlin) development.
Experience with cross-platform tools like Flutter, React Native.
8. Artificial Intelligence & Machine Learning:
Deep learning frameworks (e.g., Keras, TensorFlow).
Algorithm development and model training for tasks like natural language processing (NLP), image recognition, and more.
9. Networking & IT Support:
Familiarity with TCP/IP, DNS, HTTP, and networking protocols.
System administration (Linux, Windows Server).
Troubleshooting and managing network configurations.
10. Software Development Tools:
Version control: Git, GitHub, GitLab.
IDEs: Visual Studio Code, IntelliJ IDEA, Eclipse.Tech skills refer to the abilities and knowledge needed to perform tasks that require the use of technology, especially in areas related to computer systems, software, hardware, and various technological tools. Here are some common tech skills: 1. Programming Languages: Python, Java, C++, JavaScript, HTML/CSS for web development, software, and app development. SQL for database management. R, MATLAB for data science and analytics. 2. Web Development: Front-end: HTML, CSS, JavaScript, React, Angular, Vue.js. Back-end: Node.js, Ruby on Rails, Django, Flask, PHP, Java. Web frameworks like Bootstrap for building responsive web pages. 3. Cloud Computing: AWS, Microsoft Azure, Google Cloud for hosting, storage, and cloud services. Familiarity with cloud architecture, virtual machines, and serverless computing. 4. Data Science & Analytics: Data analysis with tools like Excel, Tableau, Power BI. Programming in Python (Pandas, NumPy), R, and data visualization techniques. Machine Learning using libraries such as TensorFlow, PyTorch, Scikit-learn. 5. Cybersecurity: Knowledge of firewalls, encryption, network security, and protocols. Familiarity with ethical hacking tools (e.g., Metasploit, Wireshark). Understanding of penetration testing, intrusion detection systems (IDS), and threat analysis. 6. DevOps & Automation: Tools like Docker, Kubernetes, Jenkins, and CI/CD pipelines for continuous integration and deployment. Automation using Ansible, Terraform, or Puppet. 7. Mobile App Development: Knowledge of iOS (Swift, Objective-C) or Android (Java, Kotlin) development. Experience with cross-platform tools like Flutter, React Native. 8. Artificial Intelligence & Machine Learning: Deep learning frameworks (e.g., Keras, TensorFlow). Algorithm development and model training for tasks like natural language processing (NLP), image recognition, and more. 9. Networking & IT Support: Familiarity with TCP/IP, DNS, HTTP, and networking protocols. System administration (Linux, Windows Server). Troubleshooting and managing network configurations. 10. Software Development Tools: Version control: Git, GitHub, GitLab. IDEs: Visual Studio Code, IntelliJ IDEA, Eclipse.0 Commentaires 0 Parts 674 Vue 0 Aperçu -
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Differences Between Frontend and BackendThe terms frontend and backend refer to different aspects of web development and web...0 Commentaires 0 Parts 895 Vue 0 Aperçu
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Communication Between Frontend and BackendFrontend and backend communicate primarily through APIs (Application Programming Interfaces),...0 Commentaires 0 Parts 897 Vue 0 Aperçu
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Introduction to CybersecurityCybersecurity is the practice of protecting systems, networks, and data from digital attacks,...0 Commentaires 0 Parts 881 Vue 0 Aperçu
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Introduction to Backend DevelopmentBackend development refers to the part of web development that focuses on the server-side logic,...0 Commentaires 0 Parts 830 Vue 0 Aperçu
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Introduction to Data AnalysisData analysis is the process of inspecting, cleaning, transforming, and modeling data to discover...0 Commentaires 0 Parts 814 Vue 0 Aperçu
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Meaning of Cloud computingCloud computing refers to the delivery of computing services—such as servers, storage,...0 Commentaires 0 Parts 834 Vue 0 Aperçu
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Introduction to SQL (Structured Query Language)SQL (Structured Query Language) is a standardized programming language used for managing and...0 Commentaires 0 Parts 808 Vue 0 Aperçu