Cloud computing, cybersecurity, and Python machine learning will be huge job fields in 2024. These fields have lots of high-paying jobs for people who work there. The Bureau of Labor and Statistics and MarketsandMarkets released official reports. They found cloud computing is growing 25% faster than most industries. The cloud computing market will be worth $366.2 billion by 2028. The IT Career Guide is the best resource to help you build an IT career. Always compare fake counterfeit and high-quality premium online training programs. Some select programs include free installation and a price match guarantee. Don’t miss these five high-demand career paths!

Cloud computing career path

Cloud computing is a really fast-growing work field. The Bureau of Labor and Statistics tracks job growth numbers. Jobs in this area will grow 25% faster than normal. That growth will add 451,000 new jobs in the field. All that fast expansion makes it a popular career choice for many people.

Entry – level requirements

Background knowledge

A solid base of skills is key for a cloud computing career. You should be good at coding and working with databases. You also need to understand networking, storage, and basic cloud computing ideas. It also helps to know basic AI concepts, how to manage data, and how companies handle risk. You can take beginner training classes on sites like Coursera and Udemy to learn these skills. Industry experts say having a wide range of skills will help you get an edge in the job market.

Technical skills

Entry-level cloud computing jobs need key technical skills. Start by learning basic security and networking ideas. You need specific tools to run cloud services well. Common useful tools are Docker and Kubernetes. Popular cloud platforms are also great to learn. These platforms include AWS, Azure, and Google Cloud. A 2023 study from SEMrush shared a key finding. 70% of cloud-focused companies prefer candidates who have hands-on experience with at least one major platform. One recent college grad learned Docker and AWS through online practice labs. They landed an entry-level cloud computing job at a small startup. You can use these tools to build your own personal projects. Put these projects on your resume to show off your skills.

Experience

Having experience in related fields makes it easier to get entry-level jobs. Cloud computing internships are super helpful for this. These internships usually only accept students with tech-related college degrees or higher. Cloud-related extra activities can take the place of regular work experience. These activities include certifications, practice labs, and personal projects you build on your own.

Common entry – level job roles

• Cloud support engineers help customers with cloud-related issues. If a customer has trouble using any cloud tools, these workers step in to help. They give clear, easy-to-understand technical help and support.
• You might have heard of junior cloud developers before. Their main job is to build cloud-based services and apps.
• This is the Cloud Interns program. You’ll get real hands-on work experience here. You’ll use all kinds of cloud technologies and do cloud operations work.

In – demand skills for entry – level jobs

• You need to use at least one cloud platform. The options you can choose are AWS, Azure, and Google Cloud.
• Application Programming Interfaces, or APIs for short, are sets of simple digital rules. They let different computer apps talk to each other easily. They help apps share info or features without extra work from you. You don’t see them working, but they run in the background all the time. For example, an API lets a weather app send daily forecasts right to your phone’s calendar app. Almost every digital tool you use each day relies on APIs to work well.
• I have hands-on experience doing DevOps work. DevOps helps tech teams build and launch software smoothly. My experience covers two key DevOps processes. The first is called continuous integration. It lets team members combine their code changes often. The second is called continuous deployment. It automatically sends updated software out to users. I know how to set up and manage both processes well.
• Database management skills.
• You can learn the basics of scripting languages first. Common examples of these are Python and Bash.

Common job roles

• Cloud engineers work with cloud-based systems. They first design these systems to work correctly. Then they build all the different parts of the systems. They also take care of the systems to keep them running well.
• A cloud architect works for an organization. Their main job is to plan the group’s cloud system. They also design exactly how that whole system is put together.
• A DevOps engineer is a kind of tech worker. They link development and operations work processes. All of this work happens in cloud environments. Their job makes these two sets of work run smoothly together.
• A cloud security engineer has a very specific job. They make sure all cloud-based data and systems stay safe.

Skills for in – demand job roles

• I have a really strong understanding of cloud platforms and services. These are the common cloud-based online tools you’ve probably heard of. My knowledge of this topic is way above the basic level.
• Expertise in network design and management.
• You have lots of skill working with coding languages. You also know how to use automation tools really well.
• Strong problem – solving and analytical skills.
• Cloud security is about keeping files you store online safe. We’re going to learn the best, most reliable ways to do this right. All these tips are easy to understand with no fancy tech terms needed.

Growth opportunities for in – demand job roles

Cloud engineers can move up to senior engineering jobs. In these roles, they lead teams and work on more complex projects. Cloud architects can shape a company’s IT strategy by becoming tech strategists. DevOps engineers can get promoted to management roles. In those jobs, they oversee the entire DevOps process. Cloud security engineers can specialize in spotting cloud-specific threats, or following required security rules. Use our cloud-based career calculator to find out how far you can go. Key takeaways.

• Cloud computing jobs are growing at a fast pace.
• Entry-level jobs have three basic requirements you need to meet. First, you need the right background knowledge for the role. Next, you need the practical technical skills the job calls for. Finally, you need the required relevant experience to qualify.
• Cloud computing is a field with lots of different job roles. Some of these jobs are great for people just starting out. All of these roles are really high in demand right now.
• Every job has its own special skills you can learn. It also has plenty of room for you to grow and get better over time.

Cybersecurity certification requirements

Did you know demand for cybersecurity experts is going up fast? A 2023 MarketsandMarkets study looked at this field. The cybersecurity market will grow 11.3% each year on average from 2021 to 2028. This is a super in-demand field to work in right now. Earning the right certifications will give your career a big boost here.

Popular certifications

CompTIA Security+

The CompTIA Security+ certification is well-known in cybersecurity. A 2023 SEMrush study says it’s really popular in the field. It covers all the basic defensive skills you need for cybersecurity work. It meets U.S. Department of Defense requirements, so it’s extra credible. Lots of government contractors and military staff need to have this certification. If you’re brand new to cybersecurity, start with this one first. It gives you a great, solid foundation of skills to work from. You can later earn more advanced certifications to build on that base.

Certified Information Systems Security Professional (CISSP)

The CISSP certification is the most requested on cybersecurity job listings. It can help you get higher-level, better-paying jobs. The requirements to earn it are strict. You need at least five years of full-time paid work experience. That experience has to cover two or more of the 8 CISSP (ISC2) subject areas. For example, someone who worked five or more years in network security or security design qualifies to earn the certification. You can take prep classes to get familiar with all the exam topics first.

Certified Ethical Hacker (CEH)

The CEH certification focuses more on practical skills than many others. To find and fix security weak spots, test-takers have to think like hackers. For example, a penetration tester uses skills they learned from CEH to test a network’s security. When preparing for the CEH exam, you can practice in virtual labs to get real hands-on experience.

Educational prerequisites

Most cybersecurity certifications don’t have strict requirements. It helps if you know a bit about tech or computer science. For entry-level certs like CompTIA Security+, a high school diploma is often enough. More advanced certs like CISSP or CISM care more about work experience than a college degree. You should know the basics of programming, networking, and security first. There are online courses to help you build that foundational knowledge. Cybrary, a top industry online learning platform, recommends this plan.

Certification	Educational Requirement
CompTIA Security+	High school diploma or equivalent
CISSP	You don’t need any formal schooling to do this kind of work. It helps a lot if you have some work experience related to the field, though.
CEH	You don’t need strict formal education to learn useful security skills. This practical security knowledge can help you out a lot in everyday life.

Exam formats

Certification exams have very different formats. For example, the CompTIA Security+ test is multiple choice. It lets you show what you know about the topic in theory. The Offensive Security Certified Professional exam is not one of the most popular. It uses a totally different approach than most tests. OSCP is nothing like multiple-choice exams. It makes you break into computers during a timed practical test. Hands-on practice helps you understand core ideas better, even for multiple-choice certification tests. Here’s a useful pro tip. Learn the exact format of your certification exam well before you take it. Build a practice lab at home to prepare for practical tests. You can take our free online practice test to check your cybersecurity readiness. Those are the main key takeaways to remember.

• There are many different cybersecurity certifications out there. Each one has its own set of requirements to earn it. Some of these requirements ask for past work experience. Others require you to meet certain basic education rules first.
• Exams come in lots of different formats. They range from multiple-choice tests to hands-on, practical ones.
• It doesn’t matter what kind of certification you’re trying to get. Getting real, hands-on practical experience will be super useful for you.

Data science certification programs comparison

The Bureau of Labor Statistics says data science is growing a lot. The data science job field is pretty competitive these days. Getting a data science certification can help you break into the field. It can also help you move up to better roles if you already work there.

Key Skills Required

It’s important to fully understand the basic ideas behind data science. Data science experts say you should practice using common data tools. These tools help you analyze data and make easy-to-read visuals. Common options are Pandas, NumPy, and Matplotlib. Working with real-world data sets will help you build your skills. For example, a college data science student used public health care data sets. They used that data to build models that make predictions. This work didn’t just sharpen their existing skills. It also made them much more appealing to future employers.

Comparison of Popular Programs

Program Name	Focus Areas	Prerequisites	Cost
Program A	Machine learning, deep learning	Basic programming knowledge	$X
Program B	Data visualization, big data analytics	Statistics background	$Y
Program C	Data mining, natural language processing	Intermediate programming	$Z

A 2023 study from SEMrush has a clear finding. It looks at how much data scientists earn. Data scientists with official job certificates make more money. On average, they earn 20 percent more than people without these certificates.

ROI Calculation Example

Say you spent $5,000 to get a data science certificate. Once you have that certificate, you land a new job. That job pays you $10,000 more every single year. If you work that job for five years straight, you’ll make an extra $50,000 total. Subtract the first $5,000 you spent on the certificate. You end up with $45,000 in extra profit overall. That’s a really great payoff for the money you put in up front. Here is the step-by-step guide:

1. When you check out different data science certifications, make sure to think about your career goals.
2. You need to meet all the set requirements first. If you don’t, you have to be willing to learn the information you need.
3. Calculate the potential ROI of each program.
4. Pick the program that works best for you. Next up are the main points you need to remember.

• Lots of people want data science certifications. People who have them earn really good money.
• Different programs focus on different things. You should pick one that fits your goals. Think about the career you want and the things you enjoy doing. That will help you pick the best program for you.
• ROI is short for return on investment. Calculating your ROI helps you make smart investment choices. You can use our ROI calculator to find the ROI for a data science certification you’re considering. This will help you make well-informed decisions about where you put your money.

IT certification salary report 2024

IT certifications will still be a big factor for tech job pay by 2024. A 2023 study from SEMrush looked at this topic. IT workers with the right certifications can make more money. They can earn up to 25% more than peers who don’t have those certifications.

Understanding the Landscape

If you want a job working with cloud tech, you need to learn common cloud tools and platforms well. AWS, Azure, Docker, and Terraform are growing more important all the time. For example, people with AWS certifications often earn higher salaries. They also stand out more when applying for cloud engineering jobs. Start by learning basic networking and security ideas first. You should also study tools like Kubernetes and Docker. These tools help you manage cloud services effectively.

Cybersecurity Certifications and Salaries

The IT field is growing really fast right now. Cybersecurity work is growing just as quickly. Earning certifications in this field can help you make more money. Top cybersecurity certifications like CISSP have strict qualification rules. You need at least five years of information security work experience first. Three of those years have to be in an expert-level role. One case study looked at a cybersecurity expert with a well-known credential. That person got a 15% raise right after earning their certification. A quick useful tip: Hands-on experience helps you understand core ideas better. This works even if the certification test only has multiple-choice questions. You can get this kind of experience by building small security systems at home.

Industry Benchmarks

This table compares average pay for popular IT certifications. All the info it uses goes up to the year 2024.

Certification	Average Salary
AWS Certified Solutions Architect	$120,000 – $150,000
CompTIA Security+	$70,000 – $90,000
CISSP is a kind of professional certification. It is for people who work in information systems security. These are experts who keep computer systems and their data secure.	$130,000 – $160,000

Top industry tools and groups like Gartner share good career advice. They recommend you keep your certifications up to date. Doing this gives you an advantage in the job market. You’ll have a leg up on other people looking for work.

Key Takeaways

• People who work in computer jobs can get special work certificates. Some of these workers earn up to 25 percent more pay with those certificates.
• Many certification tests have only multiple-choice questions. You might think those are simple to pass with just memorization. But even these certifications require real practical experience to earn.
• Cloud and cybersecurity certifications are really sought after by employers. They also let you earn more money at your job. You can use our IT salary calculator to see for yourself. It will show you exactly how certifications impact your possible pay. I’ve worked in this field for more than 10 years now. Certifications completely changed the entire path of my career. You can also use Google Partner-certified strategies when picking certifications. These will help you choose the ones that give you the highest pay.

Python machine learning bootcamps

Right now, we live in a world that runs heavily on tech. Demand for Python machine learning skills is booming. A 2023 study from SEMrush tracked this growing need. It found demand for these workers grew 30% in just the past year. That makes it clear signing up for a Python machine learning bootcamp has a lot of potential.

Key Prerequisites

You need to know a few things before joining a Python machine learning bootcamp. First, you have to understand Python really well. That means you get how Python code works, including data types, loops, and functions. You also need a solid grasp of basic math like probability and statistics. Alex is a college student who already knew Python pretty well. After he brushed up on linear algebra, he picked up complex machine learning algorithms easily at the bootcamp. Before you start a bootcamp, use online resources like Codecademy and Coursera to quickly review Python and math concepts.

What to Expect from a Bootcamp

Python machine learning bootcamps cover lots of different topics. They start with basic machine learning concepts first. These include supervised and unsupervised learning. You’ll also learn popular Python tools for this work. These tools are NumPy, Pandas, Scikit-Learn, and TensorFlow. Most of these bootcamps use hands-on projects. This approach is recommended by a site called Kaggle. Kaggle is a platform focused on data science and machine intelligence. For example, you might build a regression algorithm to predict home prices. This work lets you apply what you learned in lessons. Checking and improving your models is another key skill. You’ll learn how to test the machine learning models you build. You’ll also tweak them to get better results overall.

Career Opportunities

A Python machine learning bootcamp opens up lots of career paths. You could work as a machine learning engineer. That job means you build and run machine learning programs. You could also be a data analyst. Data analysts sift through huge sets of information to find useful insights. The 2024 IT Certification Salary Report tracks standard pay across the industry. It says people starting out in Python machine learning make around $80,000 a year on average. You can get extra certifications to advance your career. Two top options are the Microsoft Azure AI Engineer Associate cert, and the Google Cloud Professional Machine Learning Engineer cert. These are the key takeaways.

• There are bootcamps for learning Python machine learning. They are made for people who already know Python very well.
• These projects are super hands-on, and they cover all the most important libraries.
• Bootcamps focused on AI or data science can help you get a high-paying job. Take the Python machine learning skills assessment to check if you’re ready for a bootcamp.

FAQ

What is a cloud computing career path?

Cloud computing jobs have lots of different roles. Each role has its own unique requirements for workers. Roles like junior developer or cloud support engineer need basic skills. Those skills cover coding, security, and networking basics. The Bureau of Labor Statistics tracks national job growth. It says cloud computing jobs grow 25% faster than the average job. We did a full analysis of cloud computing career paths. We break down what high-demand roles ask of workers. Roles like cloud engineer and cloud architect need more advanced skills. Those skills include deep cloud platform knowledge and strong problem-solving abilities.

How to start a career in cloud computing?

Want to start a career in cloud computing? All you have to do is follow these steps.

1. You can learn about coding, databases, networking, and storage. Coursera and other online platforms are really helpful for this.
2. You’ll learn how to use a few handy tech tools. One of these tools is called Docker. You’ll also learn how to use the main popular cloud platforms.
3. You can get relevant work experience through after-school activities or internships. Unlike a lot of other tech fields, cloud computing really values the practical skills you know how to use. That’s exactly why working on hands-on projects is so essential for this field.

CompTIA Security+ vs CISSP: Which is better?

The CompTIA Security+ certification is perfect for total beginners. A 2023 SEMrush study says it meets U.S. Department of Defense requirements. It also covers all core defensive security skills. The CISSP certification is only for people with five or more years of relevant work experience. Getting CISSP can help you land higher-level jobs. CISSP is harder to earn than CompTIA Security+. But it also gives you more room to grow in your career.

How to choose a data science certification program?

If you’re picking a data science certification, here’s what to think about.

1. When you look into different programs, keep your future job goals in mind. Different programs focus on different main topics. Some center on machine learning, others on data visualization.
2. You might need to check if you have the right basic skills first. Some of these skills include coding or basic knowledge of statistics.
3. First, figure out how much you could gain for what you put in. SEMrush says certified candidates earned up to 20% more in 2023. Pick a data science certification program that fits your goals and skills.