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📍AI Freemium 🔝8 Courses To Master AI For Free Here are 8 FREE courses to master AI in 2024!

▪️1. Google AI Courses

Google offers 5 different courses to learn generative AI from the ground up. Start with an Introduction to AI and finish having a solid understanding of AI as a whole. :mechanical_arm: https://www.cloudskillsboost.google/paths/118

▪️2. Microsoft AI Course

Microsoft offers an AI course that covers the basics and then more. Start off with an introduction and continue through learning about neural networks and deep learning. :mechanical_arm: https://microsoft.github.io/AI-For-Beginners/

▪️3. Introduction to AI with Python

Harvard University is offering a full 7-week course to explore the concepts and algorithms of AI. Start with the technologies behind AI and end with knowledge of AI principles and machine learning libraries. :mechanical_arm: https://www.edx.org/learn/artificial-intelligence/harvard-university-cs50-s-introduction-to-artificial-intelligence-with-python

▪️4. Prompt Engineering for ChatGPT

This 6 module course by Vanderbilt University offers beginners a starting point to writing better prompts. Start by learning effective prompting and complete the course knowing how to bend ChatGPT to your will. :mechanical_arm: https://www.coursera.org/learn/prompt-engineering

▪️5. ChatGPT Prompt Engineering for Devs

OpenAI in collab with DeepLearning is offering this course taught by Isa Fulford and Andrew Ng. Start off with best practices and finish with a better understanding of prompting with hands-on practice. :mechanical_arm: https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/

▪️6. LLMOps

Google Cloud in collab with DeepLearning is offering this brand new course taught by Erwin Huizenga. Go through the LLMOps pipeline of pre-processing training data and adapt a supervised tuning pipeline to train and deploy a custom LLM. :mechanical_arm: https://www.deeplearning.ai/short-courses/llmops/

▪️7. Big Data, Artificial

Intelligence, and Ethics In this 4 module course, the University of California - Davis covers big data and introduces IBM’s Watson. Start by learning about big data opportunities and end knowing the limitations of AI. :mechanical_arm: https://www.coursera.org/learn/big-data-ai-ethics

▪️8. AI Applications and Prompt Engineering

edX has an introductory course on prompt engineering that goes beyond the basics. Start by learning the basics and end up knowing how to create your own applications. :mechanical_arm: https://www.edx.org/learn/computer-programming/edx-ai-applications-and-prompt-engineering

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The most demanded 10 Digital Skills Tech Companies are Looking for Today! ✅ The most demanded 10 Digital Skills that are valuable in many different types of positions follows below: 1. Artificial intelligence (AI) Computers or machines mimic human intelligence in a variety of ways, including learning from experience or repetition, solving problems, understanding and responding to language, and making decisions, for instance. There are many careers in AI, including those in machine learning, data scientists, business intelligence, research, big data engineering, and architecture. 2. Cybersecurity The practice of cybersecurity is the prevention of cyber attacks and the protection of computer systems and networks from malicious cyber interference, which aims to access, change, destroy, or disrupt sensitive data. 3. Cloud computing Cloud computing is the delivery of computing functions through the Internet, such as data storage, networking, web servers, database management systems, marketing automation, and business analytics." 4. Software engineering The study of software engineering involves applying engineering principles to software development. 5. Software development Software development is the process of creating, testing, debugging, and deploying any type of software or computer program for client applications using computer science principles and programming languages. 6. Project management Managing a project is the process of setting and achieving goals and deadlines from its inception to its completion. 7. UI/UX design The user interface focuses on the design of the user interface, while the user experience focuses on the design of the user experience. 8. Data analytics It involves storing, managing, and using data to gain insights and valuable information. 9. Data science The field of data science combines several academic disciplines such as math, statistics, and visualization, advanced computing, domain expertise, scientific method, and data engineering. 10. Programming Computer programmers essentially tell computers what to do and how to solve problems using a formal language.

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High-Paying AI Jobs & Careers to Pursue in 2024 🤖 The AI revolution offers an unparalleled opportunity for growth and innovation, making a career in AI exceptionally rewarding. As industries from healthcare to space exploration embrace AI, the demand for skilled professionals is soaring. Being an AI professional not only positions you at the forefront of technological advancements but also opens doors to a variety of high-paying, dynamic job roles.

Top 6⃣ AI Jobs & Careers

▪️Machine Learning Engineer Professionals at the intersection of data science and software engineering create scalable data models for analyzing vast amounts of information, requiring skills in programming, machine learning, and deep learning. ▪️Data Scientist Specialists in transforming raw data into insightful patterns utilize technology and algorithms for analysis, requiring advanced degrees and skills in programming and statistical tools. ▪️Business Intelligence Developer Experts in processing and analyzing data to uncover trends, BI developers design and maintain data platforms for dashboards, requiring a background in engineering or computer science and skills in data warehouse design and BI technologies. ▪️Research Scientist Focused on advancing AI through innovative questions, these professionals excel in mathematics, machine learning, deep learning, and statistics, often holding a doctoral degree and possessing expertise in areas like computer perception and natural language processing. ▪️Big Data Engineer Focus on creating systems that facilitate communication between different business areas and technologies, often working with Hadoop and Spark systems and requiring skills in programming, data mining, and visualization, with hands-on experience valued alongside or in place of advanced degrees. ▪️Data Analyst Today's analysts not only prepare data for machine learning models but also create insightful reports, requiring skills beyond spreadsheets in SQL, Python, analytics dashboards, and an understanding of business intelligence.

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▪️15 Best Information gathering tools

• Network Map

(nmap)https://github.com/nmap/nmap

•Dracnmap

https://github.com/Screetsec/Dracnmap

•Xerosploit

https://github.com/LionSec/xerosploit

•RED HAWK (All In One Scanning)

https://github.com/Tuhinshubhra/RED_HAWK

•Recon Spider (For All Scaning)

https://github.com/bhavsec/reconspider

•IsItDown (Check Website Down/Up)

Infoga - Email OSINT https://github.com/m4ll0k/Infoga

•ReconDog

https://github.com/s0md3v/ReconDog

•Striker

https://github.com/s0md3v/Striker

•SecretFinder (like API & etc)

https://github.com/m4ll0k/SecretFinder

•Find Info Using Shodan

https://github.com/m4ll0k/Shodanfy.py

•Port Scanner - rang3r

https://github.com/floriankunushevci/rang3r

•Breacher

https://github.com/s0md3v/Breacher

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Mobile/Phone Security ♻️❗️ ▪️Introduction In a nutshell, mobile security is cybersecurity for mobile devices. It involves protecting smartphones, tablets, and laptops from cyber threats such as data loss, credential theft, account compromise, and so forth. ▪️Components of mobile device security! Good mobile security policies include components that protect an organization’s network or system from various types of attacks.

❗️The following security components work together to minimize the risk of mobile device attacks

▪️VPN Users connecting to the network from a remote location should always use a virtual private network (VPN). ▪️Endpoint security Endpoint security for mobile devices is the use of technology, best practices, and other measures to protect mobile devices such as laptops, smartphones, and tablets from cyber threats and attacks. ▪️Secure web gateway Secure web gateways (SWGs) protect mobile devices from online threats by filtering traffic and automatically enforcing company security policies. ▪️Email security Email security uses filters to block suspicious messages that may contain unverifiable links and attachments.

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