Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

https://github.com/cyberbull123/my-professional-journey

🚀🧠💻 Dive into my repository for a curated roadmap and exhaustive list of resources, courses, and projects shaping my journey in Cybersecurity, Penetration Testing, and AI/ML. 🚀💡 🌐🔐
https://github.com/cyberbull123/my-professional-journey

ai cybersecurity generative-ai machine-learning-algorithms

Last synced: about 2 months ago
JSON representation

🚀🧠💻 Dive into my repository for a curated roadmap and exhaustive list of resources, courses, and projects shaping my journey in Cybersecurity, Penetration Testing, and AI/ML. 🚀💡 🌐🔐

Awesome Lists containing this project

README 

        
## Hello Security Professional! 👋🏻

I'm thrilled to introduce you to a world of cybersecurity, penetration testing, and AI/ML mastery. I am a passionate professional aspiring to carve a niche in the dynamic realms of technology and security. With a background in IT and a fervent dedication to learning, I am on a journey towards becoming a master in cybersecurity, ethical hacking, and the integration of AI/ML in the field.



Connect with me on LinkedIn: [My LinkedIn](https://www.linkedin.com/in/aditya-pandey-896109224/)



I also maintains a personal website, showcasing projects and insights: [My Website](https://aadi-web-1.onrender.com)



Dive into My thoughts and experiences on cybersecurity through the Medium blog: [My Medium Blog](https://cyberbull.medium.com/)



Now, let's equip me with the perfect resources for this exciting journey:



## Tables of Contents

[Generative AI Roadmap](https://github.com/CYBERBULL123/My-professional-journey/blob/main/Generative-AI%20Roadmap.md)



[Gen AI Algorithm](https://github.com/CYBERBULL123/My-professional-journey/blob/main/GenAI%20Algorithm.md)



[Cybersecurity ML Algorithm](https://github.com/CYBERBULL123/My-professional-journey/blob/main/Cybersecurity%20ML%20algorithm.md)



[Advanced GenAI Model](https://github.com/CYBERBULL123/My-professional-journey/blob/main/Advanced%20GenAI%20Model.md)



[1 Month Plan for DSA & ML algorithm](https://github.com/CYBERBULL123/My-professional-journey/blob/main/1%20monts%20of%20DSA%20%26%20ML.md)



[Maths For Machine Learning](https://github.com/CYBERBULL123/My-professional-journey/blob/main/Mathematics%20Topic%20for%20ML.md)



## 🚀 My Epic Odyssey in Cybersecurity, Penetration Testing, and AI/ML!



### **1. Foundation: 🛠️ Building the Base**

   - **Objective:** Lay a robust foundation in IT and programming.



   - **Skills to Develop:**

     - Basic IT skills (hardware, software, and operating systems).

     - Python mastery for coding wizardry.



   - **Resources:**

     - [🔗 Google IT Support Professional Certificate - Coursera](https://www.coursera.org/professional-certificates/google-it-support)

     - [🐍 MIT Introduction to Computer Science and Programming - edX](https://www.edx.org/professional-certificate/introduction-to-computer-science-and-programming)



### **2. Cybersecurity Fundamentals: 🌐 Mastering the Basics**

   - **Objective:** Grasp foundational principles and cybersecurity best practices.



   - **Skills to Develop:**

     - Know the CIA Triad (Confidentiality, Integrity, Availability).

     - Speak the language of cybersecurity fluently.



   - **Resources:**

     - [🚀 Cybrary - Introduction to Cyber Security](https://www.cybrary.it/course/introduction-cyber-security/)

     - [🔐 NIST Cybersecurity Framework](https://www.nist.gov/cyberframework)



### **3. Ethical Hacking and Penetration Testing: 🤖 Unleashing the Hacker Within**

   - **Objective:** Dive into the world of ethical hacking and penetration testing.



   - **Skills to Develop:**

     - Ethical hacking principles, your ethical compass.

     - Mastering penetration testing tools and methodologies.



   - **Resources:**

     - [🚀 eLearnSecurity - Penetration Testing Student (PTS)](https://www.elearnsecurity.com/course/penetration_testing/)

     - [🔓 OWASP WebGoat - Security Learning Platform](https://owasp.org/www-project-webgoat/)



### **4. AI/ML Basics: 🤖✨ Unlocking the Power of Intelligence**

   - **Objective:** Grasp the basics of AI and ML concepts.



   - **Skills to Develop:**

     - Distinguish between AI and ML.

     - Get comfy with fundamental algorithms and concepts.



   - **Resources:**

     - [🧠 Coursera - Machine Learning by Andrew Ng](https://www.coursera.org/learn/machine-learning)

     - [🤖 edX - Introduction to Artificial Intelligence (AI) - Microsoft](https://www.edx.org/professional-certificate/introduction-to-artificial-intelligence)



### **5. Advanced AI/ML in Cybersecurity: 🚀 Powering Security with Intelligence**

   - **Objective:** Explore the seamless integration of AI/ML in cybersecurity.



   - **Skills to Develop:**

     - Apply ML algorithms to fortify security systems.

     - Navigate through the cybersecurity frameworks galaxy.



   - **Resources:**

     - [🔍 MIT Sloan - Artificial Intelligence: Implications for Business Strategy](https://executive.mit.edu/openenrollment/ai-machine-learning-business/)

     - [💻 IBM Developer - Introduction to AI for Cybersecurity](https://developer.ibm.com/tutorials/apply-machine-learning-cybersecurity-1/)



### **6. Specialized AI/ML in Cybersecurity: 🛡️ Crafting the Cyber Shield**

   - **Objective:** Dive deep into AI/ML applications tailored for cybersecurity.



   - **Skills to Develop:**

     - Implement ML for detecting and classifying malware.

     - Apply ML techniques to detect phishing attempts.



   - **Resources:**

     - [🚀 Springboard - AI/ML for Cybersecurity Career Track](https://www.springboard.com/courses/cyber-security-career-track/)



### **7. Practical Application: 🚀 Building Real-World Projects**

   - **Objective:** Apply skills to tangible projects and scenarios.



   - **Skills to Develop:**

     - Create AI-driven cybersecurity projects.

     - Implement penetration testing scenarios with AI/ML tools.



   - **Resources:**

     - [🚀 GitHub - Awesome AI Security](https://github.com/RandomAdversary/Awesome-AI-Security)

     - [🔒 GitHub - Awesome Penetration Testing](https://github.com/enaqx/awesome-pentest)



### **8. Continuous Learning and Community Engagement: 🌐 Lifelong Exploration**

   - **Objective:** Stay ahead with the latest trends and engage with the vibrant community.



   - **Skills to Develop:**

     - Read research papers and stay updated.

     - Engage actively in online forums and discussions.



   - **Resources:**

     - [📚 Dark Reading](https://www.darkreading.com/)

     - [🤖 MIT Technology Review - Artificial Intelligence](https://www.technologyreview.com/topic/artificial-intelligence/)

     - [🔗 Reddit - r/cybersecurity](https://www.reddit.com/r/cybersecurity/)

     - [🔗 LinkedIn Groups - AI and Machine Learning](https://www.linkedin.com/groups/8440112/)



Embark on this exciting journey,Keep learning, exploring, and making a mark in the ever-evolving world of cybersecurity and technology 🌐🔍



# 🌐 Cybersecurity, AI, and ML Skills Learning Guide 🔍🚀



## Cybersecurity Skills



1. **Security Fundamentals:**

   - [Introduction to Cyber Security - Cybrary](https://www.cybrary.it/course/introduction-cyber-security/)

   - [NIST Cybersecurity Framework](https://www.nist.gov/cyberframework)



2. **Network Security:**

   - [Network Security Essentials - edX](https://www.edx.org/professional-certificate/network-security)



3. **Ethical Hacking:**

   - [eLearnSecurity - Penetration Testing Student (PTS)](https://www.elearnsecurity.com/course/penetration_testing/)

   - [OWASP WebGoat - Security Learning Platform](https://owasp.org/www-project-webgoat/)



4. **Incident Response:**

   - [Incident Handling and Response - SANS](https://www.sans.org/cyber-security-courses/incident-handlers/)

   - [Incident Response Fundamentals - Pluralsight](https://www.pluralsight.com/courses/incident-response-fundamentals)



5. **Identity and Access Management (IAM):**

   - [Identity and Access Management - Coursera](https://www.coursera.org/specializations/identity-access-management)

   - [IAM Best Practices - AWS](https://aws.amazon.com/iam/getting-started/best-practices/)



6. **Security Awareness:**

   - [Security Awareness Training - Infosec](https://www.infosecinstitute.com/courses/security-awareness-training)

   - [Security Awareness and Training - NIST](https://www.nist.gov/cybersecurity-training-and-awareness)



## AI Skills



1. **Machine Learning Basics:**

   - [Machine Learning by Stanford University - Coursera](https://www.coursera.org/learn/machine-learning)

   - [Introduction to Machine Learning - edX](https://www.edx.org/professional-certificate/introduction-to-artificial-intelligence-ai)



2. **Data Preprocessing:**

   - [Data Science and Machine Learning Bootcamp with R - Udemy](https://www.udemy.com/course/data-science-and-machine-learning-bootcamp-with-r/)

   - [Data Preprocessing in Machine Learning - Towards Data Science](https://towardsdatascience.com/data-preprocessing-concepts-fa946d11c825)



3. **Model Selection and Evaluation:**

   - [Machine Learning - Andrew Ng - Coursera](https://www.coursera.org/learn/machine-learning)

   - [Metrics for Machine Learning - Google AI](https://developers.google.com/machine-learning/crash-course/classification/precision-and-recall)



4. **Feature Engineering:**

   - [Feature Engineering for Machine Learning - Coursera](https://www.coursera.org/learn/feature-engineering)

   - [Introduction to Feature Engineering in Python - Towards Data Science](https://towardsdatascience.com/feature-engineering-for-machine-learning-3a5e293a5114)



5. **Deep Learning:**

   - [Deep Learning Specialization - Coursera](https://www.coursera.org/specializations/deep-learning)

   - [Deep Learning - MIT OpenCourseWare](https://ocw.mit.edu/18-065)



6. **Natural Language Processing (NLP):**

   - [Natural Language Processing - Coursera](https://www.coursera.org/specializations/natural-language-processing)

   - [Natural Language Processing in Python - DataCamp](https://www.datacamp.com/courses/natural-language-processing-in-python)



## ML Skills



1. **Programming Languages:**

   - [Python for Everybody - Coursera](https://www.coursera.org/specializations/python)

   - [R Programming - Coursera](https://www.coursera.org/learn/r-programming)



2. **Statistical Analysis:**

   - [Statistics and Probability - Khan Academy](https://www.khanacademy.org/math/statistics-probability)



3. **Data Visualization:**

   - [Data Visualization and Communication with Tableau - Coursera](https://www.coursera.org/learn/datavisualization)

   - [Data Visualization with Matplotlib - Real Python](https://realpython.com/tutorials/dataviz/matplotlib/)



4. **Model Deployment:**

   - [Machine Learning Deployment - Coursera](https://www.coursera.org/learn/ml-deployment)

   - [Deploying Machine Learning Models - Towards Data Science](https://towardsdatascience.com/deploying-machine-learning-models-a36c112deeaf)



5. **Reinforcement Learning:**

   - [Reinforcement Learning Specialization - Coursera](https://www.coursera.org/specializations/reinforcement-learning)

   - [Introduction to Reinforcement Learning - OpenAI](https://spinningup.openai.com/)



## Happy learning! 🧑‍💻💭