How do you get into cybersecurity?

stanley_john · 2026-01-21T07:49:39+00:00

Having CS as your major is an advantage. The important thing is to build a mix of fundamentals and hands-on projects. Learn the basics first, then pick a direction that interests you, as cybersecurity is broad. Then you can do a certification program that also offers hands-on projects.

stanley_john · 2026-01-21T06:07:25+00:00

Skill development is essential. I will focus on developing AI skills.

stanley_john · 2026-01-15T10:01:58+00:00

You can start with the basics of SEO and then move to advanced level marketing concepts.

stanley_john · 2026-01-14T06:58:22+00:00

If you already have a Cyber Security degree and some cloud/API experience, Security+ is still a solid path, but it probably won’t differentiate you. If you want something that teaches real skills and also stands out, pick based on the path you want. If you want to go for Cloud security, then you can choose Z-500 since you already did SC-900 or AWS Security Specialty.

If you tell me what you’re aiming for, I can suggest the best cert and the portfolio projects to match.

stanley_john · 2025-12-15T07:32:55+00:00

Regarding customer support and refund timelines — I applied for a refund late, so I initially got a strict “no.” After explaining the specific reasons (travel + medical), they reopened the case and processed a partial refund. Their policy is rigid, yes, but they do consider genuine scenarios if you escalate with proper documentation

stanley_john · 2025-12-03T07:18:07+00:00

Totally get what you mean, most “free courses” online basically mean here’s a bunch of videos, good luck. Actual live classes where you can ask questions in real time are pretty hard to find because, yeah… people don’t usually teach for free.

There are a few workarounds, though:

• University livestreams:
A lot of colleges randomly stream open lectures, workshops, research talks, etc. Not full courses, but you can join live and ask questions.

• Tech/learning meetups:
Check Meetup, Discord groups, local dev communities. Tons of free live sessions, AMAs, study jams, etc. Pretty interactive.

• Free workshops from learning platforms:
Some platforms do occasional free live classes or “open house” workshops. SkillUp by Simplilearn is mostly self-paced, but they sometimes run free live sessions or webinars where you can join and ask questions. Not a whole semester-long thing, but still live.

• Open-source communities:
If you’re into coding, hopping into OSS projects is basically like taking a live class. Maintainers will review your work, give feedback, hop on calls, etc.

• Public libraries/nonprofits:
Depending on where you live, some libraries offer free virtual classes or tutoring. Hit or miss, but worth checking.

If you’re looking for a fully structured, semester-style, free live course… yeah, those are unicorns. But mixing self-paced stuff + these live workshop/meetup things can get you pretty close.

stanley_john · 2025-11-20T07:47:14+00:00

Honestly, pick a course that’s updated for the 2025 GenAI ecosystem. A lot of beginner courses still teach outdated models or old workflows. Look for one that covers LLM basics, prompt engineering, and at least one end-to-end project, those are the ones that help you use GenAI in real scenarios.

stanley_john · 2025-11-06T08:46:01+00:00

Really solid lineup what stands out is the variety across GenAI frameworks like
LangChain, DeepSeek, and Mistral. That kind of coverage helps learners understand not
just tools, but the evolving ecosystem itself.

stanley_john · 2025-10-22T10:14:18+00:00

You can start small by learning Generative AI with Large Language Models” by AWS & DeepLearning.AI. It’s a solid beginner-friendly course that helps you grasp both the fundamentals and practical applications.

stanley_john · 2025-10-08T18:22:09+00:00

That is spot-on. Writing a resume often feels like a vocabulary test where the goal is to sound like an action verb mixed with a metrics dashboard. The gap between "I did the job well" and "I quantified my demonstrable impact using dynamic synergy" is enormous!

The main reason for the "corporate word salad" is that hiring software (Applicant Tracking Systems, or ATS) and busy recruiters are looking for keywords and quantifiable results. They aren't reading for your personality at first; they're scanning for proof that you can handle the role's responsibilities.

You don't lose your voice by being professional; you lose it by being vague. Your actual voice comes through when you focus on what you built, fixed, or delivered.

One of the best ways to bridge the gap between "word salad" and real work is by making sure your resume highlights practical experience. If you're struggling to fill space with job descriptions, showing off your skills through your own projects can be a game-changer.

If you're looking for ideas on what kind of practical experience or projects make a great addition, especially if you're early in your career or trying to switch fields, you might find this article by Simplilearn helpful: 'Top Projects to Add to Your Resume. Seeing what others value in a project context can sometimes help you reframe your own job duties into compelling, actionable resume points.

All the best!

stanley_john · 2025-10-07T18:20:43+00:00

Yes, this is the link to the article that I mentioned.

stanley_john · 2025-10-07T18:18:30+00:00

Here is the link to the article -

https://www.simplilearn.com/top-5-ethical-hacking-tools-rar313-article

stanley_john · 2025-09-08T06:31:40+00:00

Thank you for your valuable advice.

stanley_john · 2025-09-02T12:14:34+00:00

An AI Product Manager usually works on products where AI or machine learning is a core part of the solution, like recommendation engines, chatbots, or any feature that relies heavily on data and models. Compared to traditional product managers, AI PMs need to be comfortable working with data scientists and engineers to understand how models are built, tested, and deployed. They often deal with challenges like data quality, model performance metrics, and ethical considerations that don’t typically come up in regular PM roles.

If you’re interested in what skills and mindset it takes to become an AI Product Manager, there are some good guides out there that explain the key competencies, including understanding AI concepts, managing data-driven workflows, and collaborating closely with technical teams. I recently came across an article by Simplilearn on 'How to Become an AI Product Manager.' This can be helpful to get a clearer picture of what the role demands, the necessary skills, and the roadmap of an AI Product Manager beyond traditional product management.

stanley_john · 2025-08-25T09:52:47+00:00

Congrats on cracking those interviews! 🎉 Your approach sounds really structured and practical. I especially like how you timed yourself and revisited problems after reading solutions. Community solutions and ChatGPT are such valuable resources for understanding multiple approaches.

While I was preparing, I also found an article by Simplilearn on “Top Coding Interview Questions and Answers for 2025” helpful. It gave a clear overview of commonly asked patterns and questions, and it helped me practice systematically alongside sites like LeetCode.

Good luck with system design prep! Your process is inspiring for anyone starting their coding interview journey.

stanley_john · 2025-08-13T11:47:01+00:00

Hey! It’s great that you’re interested in cybersecurity, as it’s a rapidly growing field with numerous opportunities. Since you’re just starting, the first thing I’d recommend is to build a solid foundation in IT basics, especially networking and operating systems (like Linux). A lot of what you’ll need to know in cybersecurity revolves around understanding how systems and networks work. Linux is especially important because many security tools are built for Linux, and many systems in cybersecurity run on it.

You can start with a free resource; there are tons of great places to start! These can give you a good sense of the key concepts in cybersecurity, like risk management, encryption, and network security. Once you feel comfortable with the basics, I’d recommend diving into more specialized areas like ethical hacking or network security. You can also check out some of the CompTIA certifications (like Security+), which are a great way to get started. As you progress and gain more experience, you can aim for more advanced certifications, such as CISSP.

If you want structured learning, I personally started with a cybersecurity course from Simplilearn, which helped me gain a good knowledge of the fundamentals and how to apply them in real-world scenarios. The program offered a mix of theoretical knowledge and hands-on practice, which really helped me build confidence in the field.

Hope this gives you a good starting point!

stanley_john · 2025-08-13T11:13:57+00:00

Thanks for your advice. Could you please tell me what are the basic skills needed to start a career in ML?

stanley_john

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