**The Lucrative World of Cyber Security: A Guide to Becoming a Cyber Security Specialist**

Cyber security professionals are some of the highest paid individuals in the tech industry, with an average salary ranging from $12,000 to $150,000 per year depending on experience and location. The specialized skills required for this role are critical, and the importance of cyber security cannot be overstated. In fact, 67% of organizations reported staff shortages because they couldn't find qualified candidates to address their cyber security issues. With the number of cyber threats increasing exponentially, it's no wonder that companies are taking cyber security seriously.

If you're considering a career in cyber security, there's never been a better time to get into this field. The demand for cyber security professionals is high, and the pay is lucrative. I'm not an expert in cyber security, but I can tell you that it's a field that's constantly growing in demand. With more and more companies taking cyber security seriously, it's becoming increasingly important to have skilled professionals on board. If I were just starting out in tech again, this would definitely be one of the top fields I would dive into.

**DevOps: Bridging the Gap between Development and Operations**

Devops is a critical component of modern software development, combining software development and IT operations to improve deployment speed and quality. The need for developers with devops skills is continually increasing, as companies look to streamline their development processes and get software out the door faster. As a devops engineer, you'll need to know about software development, but your role will be more focused on building continuous integration and continuous deployment pipelines, handling monitoring and logging, and bridging the gap between development and production.

The global devops market is expected to grow from $10 billion in 2023 to over $25 billion in 2028, representing a compound annual growth rate of over 20%. This growth is driven by the increasing demand for devops engineers who can help companies streamline their development processes. The average salary for a devops engineer ranges from $97,700 per year for those with 1-3 years of experience to over $135,000 per year for those with 4-6 years of experience. While this may not be the highest paying job out there, it's definitely competitive, and companies are willing to pay top dollar for skilled devops engineers.

To become a successful devops engineer, you'll need to know a range of different skills. First and foremost, you'll need to have strong programming skills, with knowledge of languages such as Python, Java, C++, Ruby, or other languages that you find relevant. You'll also need to be familiar with continuous integration tools such as Jenkins, Apache Maven, Aachi Ant, and others. Containerization and orchestration are also key skills, with a focus on Docker and Kubernetes. Additionally, you'll need to have knowledge of various cloud platforms, including AWS, Azure, Google Cloud, and others.

Automation and configuration management are also critical skills for devops engineers, with a focus on tools such as Ansible, Puppet, and other automation scripts. Monitoring and logging are also essential, with a focus on tools such as Prometheus, Grafana, Elk Stack, and others. Finally, security skills are also important, with a focus on Dev SEC Ops practices that bridge the gap between development and operations.

While devops is an exciting field to get into, it's not for everyone. It requires a range of different skills and knowledge areas, and companies are looking for professionals who can hit the ground running. If you're considering a career in devops, I recommend doing your own research and finding a mentor or role model who can guide you through the process.

**Other Lucrative Coding Niches to Get into**

While devops is an exciting field to get into, there are many other lucrative coding niches that may be worth exploring. Some of these include machine learning engineering, artificial intelligence engineering, cloud computing, data science, and more. These fields are constantly growing in demand, and companies are willing to pay top dollar for skilled professionals.

In 2024 and beyond, we can expect to see even more lucrative coding niches emerge. The tech industry is constantly evolving, and new trends and technologies are emerging all the time. To stay ahead of the curve, it's essential to be flexible and open to learning new skills and exploring different areas of interest.

While I can't predict exactly which coding niches will become the next big thing, I do know that there are many exciting opportunities out there for developers who are willing to learn and adapt. Whether you're interested in devops, machine learning engineering, or another field altogether, there's never been a better time to get into the tech industry.

**Conclusion**

The world of cyber security and devops is an exciting and rapidly evolving field that offers many lucrative opportunities for skilled professionals. With the demand for cyber security professionals increasing exponentially, it's no wonder that companies are willing to pay top dollar for talented individuals who can protect their networks and systems from threats. To become a successful cyber security specialist or devops engineer, you'll need to have strong skills in programming languages, continuous integration and deployment tools, cloud platforms, automation and configuration management, monitoring and logging, and security practices.

If you're considering a career in one of these fields, I recommend doing your own research and finding a mentor or role model who can guide you through the process. With hard work and dedication, you can build a rewarding and lucrative career in one of these exciting fields.

"WEBVTTKind: captionsLanguage: enthe fastest way to make a lot of money coding is to focus on a lucrative Niche being well-rounded is great but when you want to stand out in a competitive market being able to present yourself as a niche Authority is critical and this video is going to help you do exactly that so with that said let's break down the five highest paying coding niches that you can get into first up we have artificial intelligence and machine learning Ai and ml involve creating algorithms that allow computers to learn from data and to make decisions applications range from self-driving cars to Advanced Voice assistance to fraud detection systems we're seeing Mass adoption of AI across various sectors like Finance Healthcare and Retail and overall AI becoming more and more integrated in our daily lives now this Mass adoption is leading to ass Surge and AI developers and huge compensation packages especially from large companies for example software engineers at open aai are making between 500 and $950,000 per year and the average AI developer is making over $130,000 per year despite the looming narrative AI is predicted to create over 2.3 million jobs by 2025 while only replacing 1.8 leading to a net gain of 500,000 jobs now I know we hear all over the place that AI is replacing programmers and getting rid of all of the jobs that couldn't be further from the truth is actually creating a lot of opportunities that you can take advantage of right now that said if you want to become an AI developer here's exactly what you need to learn to break into this field starting with mathematics we have linear algebra calculus and statistics and some more advanced mathematical Concepts you learned in something like University or computer science degree then you're obviously going to need to know programming languages so something like Python and R are going to be the most popular for machine learning in AI moving into Frameworks there's a bunch of different ones you could learn but the most popular would probably be tensorflow pytorch or scikit learn then you're also going to want to know a lot of concept ceps related to Ai and ML and some of the popular algorithms understanding things like neural networks computer vision natural language processing your fundamental machine learning algorithm say like linear regression there's a lot of different topics you can get into here but you probably want to take a few machine learning or AI courses where you really get all of the fundamentals down and you understand the mathematical Concepts behind some of the core algorithms that are used to build some of those more advanced models lastly there's a few tools you may want to know things like Jupiter notebooks or a python versioning system like Anaconda there's a lot of stuff we could get into here but that is really just scratching the surface of the types of things you'll need to learn if you want to dive into Ai and ml now the next Niche on my list is data science data science is all about extracting meaningful insights from large data sets it involves data cleaning processing analyzing and even visualizing to allow businesses to make data driven decisions now in the current market AI is actually being used a ton for data analysis and if you want to learn more about that you can check out this free resource from a good friend of the channel HubSpot this resource discusses how to use AI for data analysis and goes over the impact of AI how to integrate it into your workflow and the impact it can have on your efficiency it even has a curated list of 30 plus AI tools to use specifically to enhance your analytical capabilities that's actually my favorite part of this resource a really useful list of tools that I can actually mess around with and see value from in my workflow I've left a link to this in the description so make sure you check it out now with AI becoming more and more powerful it's important to embrace it and really lean into these tools now a massive thank you to HubSpot for providing this resource and tons of others completely for free and for sponsoring today's video now data science has experienced tremendous growth over the past few years and this has really been driven by the importance of data in decisionmaking processes across various Industries job postings for data scientists have skyrocketed year-over-year showing a strong and sustained demand for these types of professionals like artificial intelligence data science is being adopted across a ton of different Industries even those that aren't typically considered that modern even your older School businesses are realizing the importance of utilizing data and because of that they need data scientists so many businesses today are running based on datadriven decisions and they need a way to analyze clean and visualize that data which is where where a data scientist comes in this leads the average salary of data scientists to be over $113,000 per year according to glass door where the more experienced data scientists and the managerial roles can earn significantly more than that really displaying the value placed on their skills now unlike artificial intelligence data science can be a little bit easier of a field to break into and although it does require a lot of education and practice is not nearly as complicated as something like machine learning or artificial intelligence with that said if you want to stand out as a data scientist here's a list of skills you probably should know just like Ai and ml you're probably going to want to know Python and R as those are the most popular when it comes to data manipulation and data visualization next you'll want to know some other tools and languages you'll need to know something like SQL so you can understand how to interact with a database and run various queries maybe tools like Tableau map plot lib something like Seaborn you also want to understand libraries to do data manipulation so things like pandas or num Pi if you're working in something like python beyond that it will be good to know about some basic machine learning algorithms and also some statistical methods things like regression analysis obviously there is a lot more that you need to learn but hopefully that gives you a little bit of an idea of what you'll be doing as a data scientist now let's get into blockchain development blockchain technology ensures secure transparent and tamperproof transactions it's used in cryptocurrencies Supply Chain management and even voting systems as blockchain is a relative atively New Field there's a high demand for skilled developers that have experience with this technology now that leads to lucrative opportunities where the average blockchain developers making over $150,000 per year this Technology's novelty really means there's a lack of experienced developers that understand topics like distributed systems cryptography and smart contract programming this means there's a huge opportunity to have really lucrative jobs in the blockchain field because companies are desperate to hire Developers that actually have these skills this is still a really good time to get into blockchain development despite what you might be hearing because we really are just getting started in this field there's so much more growth to come and I think if you learn blockchain development now you're not going to regret it in the future especially in a few years as blockchain continues to become more mainstream and its use cases broaden I really think we're going to see more and more growth and again if you can get in now I think you're really going to set yourself up for a lucrative career with really high pay with that said if you want to be competitive in this Niche then here are the things that you need to know starting with programming languages you're definitely going to need to know solidity but there are a few other options for example learning something like rust and you also probably want to know things like Python and JavaScript for actually interacting with your smart contracts and taking data from onchain and presenting it in some kind of web app or maybe in a backend service now you also need to know about various Concepts and theories like cryptography distributed systems smart contracts how different cryptocurrencies exist and what the differences are between them uh consensus mechanisms like proof of work proof of stake there's a lot of different things you'll want to learn so you actually understand what a cryptocurrency is and what blockchain technology is really used for now in terms of tools you'll want to know about things like truffle ganache and metamask and you'll want to look at different development Frameworks like using hardh hat and open Zeppelin there's a lot of stuff to discover in this world of blockchain but that's just a taste of what you'll need to learn if you want to get good in this field now fourth on my list is cyber security with the increase in cyber threats cyber security has become increasingly important to protect sensitive data and maintain privacy it involves defending against attacks ensuring data integrity and mitigating risks in 2023 there was a reported gap of 3.5 million cyber Security Professionals a gap that's expected to persist through 2025 now this highlights the immense demand for qual qualified cyber Security Professionals especially as Industries like Finance Healthcare and infrastructure become Prime targets for cyber attacks in fact 67% of organizations reported staff shortages because they couldn't find qualified candidates to address their cyber security issues now cyber Security Professionals are some of the highest paid in the tech industry really reflecting the specialized skills required and how critical and important their role is the average salary of cyber security Specialists ranges is from $12,000 to $150,000 per year depending on experience and location this is really a very lucrative role that has extreme demand and something I definitely recommend getting into if you're willing to learn all of the specialized skills now because I'm someone who doesn't have a ton of experience in cyber security I'm not going to give you a list of things to learn here I'm going to recommend you go and do your own research and learn from people more experienced than me what I will say is I know this is definitely a field that's very lucrative and constantly growing in demand we're seeing more and more cyber threats this is becoming more of an issue and more companies are really taking this seriously I think this is a great field to get into and if I was just starting out in Tech again this would probably be one of the number one ones that I would dive into just because of the potential and how much you can get paid and how important your role is so last but not least we have devops devops combines software development and it operations to improve deployment speed and quality devops has become a critical component of modern software development and the need for developers with this specialized set of skills is continually increasing as a devops engineer you need to know about software development but you'll be more responsible for building out continuous integration and continuous deployment pipelines while also handling things like monitoring and logging and dealing with kind of that bridge between the development side and actually putting things into production there's a lot of different things that you need to know and your role is really critical to make sure that you can actually have software that users can use the global devops market is expected to grow from about 10 billion in 2023 to over $25 billion in 2028 representing a compound annual growth rate of over 20% this is really showing the increase in demand for devops engineers in this type of practice and getting into the devops field can lead to really lucrative salaries and really important roles with increasing demand the average salary of a devops engineer ranges but those that have 1 to 3 years of experience earn about $977,000 per year whereas those with four to six years of experience earn over $135,000 per year obviously you can make a lot more than this but this is a pretty competitive salary and something that's quite high if you compare it to a lot of the other regular development roles now if you want to be competitive in the devops field there's a lot of different things that you need to know and you also need to be good at regular software development before you start jumping into this more Advanced field regardless let me give you a list of things you might want to consider if you are going to become a devops engineer so in terms of programming languages we have python Java C++ Ruby you don't need to know all of them but knowing one or two of them can be good especially because you'll probably do some scripting as a devops engineer now next you'll want to know continuous integration tools so maybe things like Jenkins apachi Maven aachi ant then containerization and orchestration so things like Docker or kubernetes various Cloud platform so we have AWS Azure Google Cloud bunch of different options out there next Automation and configuration management so things like ansible shaft puppet and then we have monitoring and logging so things like Prometheus grafana elk stack I don't even know what half these things are I'm just listing them off because I found them in various job requirements and then security skills so things like Dev SEC Ops practices there's a ton of different things you need to know here and really what you're doing is Bridging the Gap from development to deployment which involves so many different steps and so many various tools I am not a devops engineer or an expert in this field I highly recommend if you want to get into this field then do your own research and find a better Mentor than me but I do know this is a niche that's up and coming where you can get paid a lot of money and there is a lot of growth expected so those are the five highest paying and in my opinion best coding niches to get into with that said there are so many other niches you can get into especially in 2024 and Beyond some of them may even pay more these are just the ones that made my list if you disagree with me I'd love to hear what you think in the comments down below if you enjoyed the video make sure to leave a like subscribe to the channel and I will see you in the next onethe fastest way to make a lot of money coding is to focus on a lucrative Niche being well-rounded is great but when you want to stand out in a competitive market being able to present yourself as a niche Authority is critical and this video is going to help you do exactly that so with that said let's break down the five highest paying coding niches that you can get into first up we have artificial intelligence and machine learning Ai and ml involve creating algorithms that allow computers to learn from data and to make decisions applications range from self-driving cars to Advanced Voice assistance to fraud detection systems we're seeing Mass adoption of AI across various sectors like Finance Healthcare and Retail and overall AI becoming more and more integrated in our daily lives now this Mass adoption is leading to ass Surge and AI developers and huge compensation packages especially from large companies for example software engineers at open aai are making between 500 and $950,000 per year and the average AI developer is making over $130,000 per year despite the looming narrative AI is predicted to create over 2.3 million jobs by 2025 while only replacing 1.8 leading to a net gain of 500,000 jobs now I know we hear all over the place that AI is replacing programmers and getting rid of all of the jobs that couldn't be further from the truth is actually creating a lot of opportunities that you can take advantage of right now that said if you want to become an AI developer here's exactly what you need to learn to break into this field starting with mathematics we have linear algebra calculus and statistics and some more advanced mathematical Concepts you learned in something like University or computer science degree then you're obviously going to need to know programming languages so something like Python and R are going to be the most popular for machine learning in AI moving into Frameworks there's a bunch of different ones you could learn but the most popular would probably be tensorflow pytorch or scikit learn then you're also going to want to know a lot of concept ceps related to Ai and ML and some of the popular algorithms understanding things like neural networks computer vision natural language processing your fundamental machine learning algorithm say like linear regression there's a lot of different topics you can get into here but you probably want to take a few machine learning or AI courses where you really get all of the fundamentals down and you understand the mathematical Concepts behind some of the core algorithms that are used to build some of those more advanced models lastly there's a few tools you may want to know things like Jupiter notebooks or a python versioning system like Anaconda there's a lot of stuff we could get into here but that is really just scratching the surface of the types of things you'll need to learn if you want to dive into Ai and ml now the next Niche on my list is data science data science is all about extracting meaningful insights from large data sets it involves data cleaning processing analyzing and even visualizing to allow businesses to make data driven decisions now in the current market AI is actually being used a ton for data analysis and if you want to learn more about that you can check out this free resource from a good friend of the channel HubSpot this resource discusses how to use AI for data analysis and goes over the impact of AI how to integrate it into your workflow and the impact it can have on your efficiency it even has a curated list of 30 plus AI tools to use specifically to enhance your analytical capabilities that's actually my favorite part of this resource a really useful list of tools that I can actually mess around with and see value from in my workflow I've left a link to this in the description so make sure you check it out now with AI becoming more and more powerful it's important to embrace it and really lean into these tools now a massive thank you to HubSpot for providing this resource and tons of others completely for free and for sponsoring today's video now data science has experienced tremendous growth over the past few years and this has really been driven by the importance of data in decisionmaking processes across various Industries job postings for data scientists have skyrocketed year-over-year showing a strong and sustained demand for these types of professionals like artificial intelligence data science is being adopted across a ton of different Industries even those that aren't typically considered that modern even your older School businesses are realizing the importance of utilizing data and because of that they need data scientists so many businesses today are running based on datadriven decisions and they need a way to analyze clean and visualize that data which is where where a data scientist comes in this leads the average salary of data scientists to be over $113,000 per year according to glass door where the more experienced data scientists and the managerial roles can earn significantly more than that really displaying the value placed on their skills now unlike artificial intelligence data science can be a little bit easier of a field to break into and although it does require a lot of education and practice is not nearly as complicated as something like machine learning or artificial intelligence with that said if you want to stand out as a data scientist here's a list of skills you probably should know just like Ai and ml you're probably going to want to know Python and R as those are the most popular when it comes to data manipulation and data visualization next you'll want to know some other tools and languages you'll need to know something like SQL so you can understand how to interact with a database and run various queries maybe tools like Tableau map plot lib something like Seaborn you also want to understand libraries to do data manipulation so things like pandas or num Pi if you're working in something like python beyond that it will be good to know about some basic machine learning algorithms and also some statistical methods things like regression analysis obviously there is a lot more that you need to learn but hopefully that gives you a little bit of an idea of what you'll be doing as a data scientist now let's get into blockchain development blockchain technology ensures secure transparent and tamperproof transactions it's used in cryptocurrencies Supply Chain management and even voting systems as blockchain is a relative atively New Field there's a high demand for skilled developers that have experience with this technology now that leads to lucrative opportunities where the average blockchain developers making over $150,000 per year this Technology's novelty really means there's a lack of experienced developers that understand topics like distributed systems cryptography and smart contract programming this means there's a huge opportunity to have really lucrative jobs in the blockchain field because companies are desperate to hire Developers that actually have these skills this is still a really good time to get into blockchain development despite what you might be hearing because we really are just getting started in this field there's so much more growth to come and I think if you learn blockchain development now you're not going to regret it in the future especially in a few years as blockchain continues to become more mainstream and its use cases broaden I really think we're going to see more and more growth and again if you can get in now I think you're really going to set yourself up for a lucrative career with really high pay with that said if you want to be competitive in this Niche then here are the things that you need to know starting with programming languages you're definitely going to need to know solidity but there are a few other options for example learning something like rust and you also probably want to know things like Python and JavaScript for actually interacting with your smart contracts and taking data from onchain and presenting it in some kind of web app or maybe in a backend service now you also need to know about various Concepts and theories like cryptography distributed systems smart contracts how different cryptocurrencies exist and what the differences are between them uh consensus mechanisms like proof of work proof of stake there's a lot of different things you'll want to learn so you actually understand what a cryptocurrency is and what blockchain technology is really used for now in terms of tools you'll want to know about things like truffle ganache and metamask and you'll want to look at different development Frameworks like using hardh hat and open Zeppelin there's a lot of stuff to discover in this world of blockchain but that's just a taste of what you'll need to learn if you want to get good in this field now fourth on my list is cyber security with the increase in cyber threats cyber security has become increasingly important to protect sensitive data and maintain privacy it involves defending against attacks ensuring data integrity and mitigating risks in 2023 there was a reported gap of 3.5 million cyber Security Professionals a gap that's expected to persist through 2025 now this highlights the immense demand for qual qualified cyber Security Professionals especially as Industries like Finance Healthcare and infrastructure become Prime targets for cyber attacks in fact 67% of organizations reported staff shortages because they couldn't find qualified candidates to address their cyber security issues now cyber Security Professionals are some of the highest paid in the tech industry really reflecting the specialized skills required and how critical and important their role is the average salary of cyber security Specialists ranges is from $12,000 to $150,000 per year depending on experience and location this is really a very lucrative role that has extreme demand and something I definitely recommend getting into if you're willing to learn all of the specialized skills now because I'm someone who doesn't have a ton of experience in cyber security I'm not going to give you a list of things to learn here I'm going to recommend you go and do your own research and learn from people more experienced than me what I will say is I know this is definitely a field that's very lucrative and constantly growing in demand we're seeing more and more cyber threats this is becoming more of an issue and more companies are really taking this seriously I think this is a great field to get into and if I was just starting out in Tech again this would probably be one of the number one ones that I would dive into just because of the potential and how much you can get paid and how important your role is so last but not least we have devops devops combines software development and it operations to improve deployment speed and quality devops has become a critical component of modern software development and the need for developers with this specialized set of skills is continually increasing as a devops engineer you need to know about software development but you'll be more responsible for building out continuous integration and continuous deployment pipelines while also handling things like monitoring and logging and dealing with kind of that bridge between the development side and actually putting things into production there's a lot of different things that you need to know and your role is really critical to make sure that you can actually have software that users can use the global devops market is expected to grow from about 10 billion in 2023 to over $25 billion in 2028 representing a compound annual growth rate of over 20% this is really showing the increase in demand for devops engineers in this type of practice and getting into the devops field can lead to really lucrative salaries and really important roles with increasing demand the average salary of a devops engineer ranges but those that have 1 to 3 years of experience earn about $977,000 per year whereas those with four to six years of experience earn over $135,000 per year obviously you can make a lot more than this but this is a pretty competitive salary and something that's quite high if you compare it to a lot of the other regular development roles now if you want to be competitive in the devops field there's a lot of different things that you need to know and you also need to be good at regular software development before you start jumping into this more Advanced field regardless let me give you a list of things you might want to consider if you are going to become a devops engineer so in terms of programming languages we have python Java C++ Ruby you don't need to know all of them but knowing one or two of them can be good especially because you'll probably do some scripting as a devops engineer now next you'll want to know continuous integration tools so maybe things like Jenkins apachi Maven aachi ant then containerization and orchestration so things like Docker or kubernetes various Cloud platform so we have AWS Azure Google Cloud bunch of different options out there next Automation and configuration management so things like ansible shaft puppet and then we have monitoring and logging so things like Prometheus grafana elk stack I don't even know what half these things are I'm just listing them off because I found them in various job requirements and then security skills so things like Dev SEC Ops practices there's a ton of different things you need to know here and really what you're doing is Bridging the Gap from development to deployment which involves so many different steps and so many various tools I am not a devops engineer or an expert in this field I highly recommend if you want to get into this field then do your own research and find a better Mentor than me but I do know this is a niche that's up and coming where you can get paid a lot of money and there is a lot of growth expected so those are the five highest paying and in my opinion best coding niches to get into with that said there are so many other niches you can get into especially in 2024 and Beyond some of them may even pay more these are just the ones that made my list if you disagree with me I'd love to hear what you think in the comments down below if you enjoyed the video make sure to leave a like subscribe to the channel and I will see you in the next one\n"