The best tech skills in 2024 include information security, data management, cloud computing, etc. In this section, we will discuss the top tech skills of 2024. These recession-proof tech skills are from different branches of the tech industry that can help make your career recession-proof in 2024.
Information Security
"Large-scale disruptions to everyday life are viewed as opportunities to cybercriminals," said Brad Puckett, Global Portfolio Director for Cybersecurity at Global Knowledge. "Changes in position, posture or circumstance mean possible open doors and expose vulnerabilities while the workforce and infrastructure is strained and distracted. Cybersecurity careers become increasingly secure and positions valued as uncertainty grows in the enterprise," he says.
Information security, a branch of cybersecurity, is already in demand. As long as there is technology, there will be attempts to breach, harm or damage these technologies and their associated information by cracking the system. Thus, it is apparent that the need to protect the system and prevent leakage of its information is huge.
Companies that run on technology, offer products and online services, or leverage complex digital systems need information security professionals to protect their business and customer data from malicious threats.
The International Information System Security Certification Consortium (ISC2)'s research and study shows that the information security workforce gap is almost 500,000 in the U.S. and 4.07 million globally. The cybersecurity workforce is required to grow by 145% to close the skill gap and better defend enterprises globally.
Aspirants who want to master information security skills must take professional courses and cybersecurity certification in different specialized verticals. They must know computer fundamentals, software, programs, malware, database security, understanding networking and network protocols, web applications, physical security, IoT, etc.
According to the Allied Market Research report the global cyber security market size will reach $478.68 billion by 2030 at CAGR of 9.5%. These figures are clear indicators that cybersecurity and information security skills will be invaluable, even if other technological sectors encounter a recession.
Therefore, aspirants and professionals must opt for specialized courses to prepare well and protect their careers from recession. Those with a degree in computer science, mathematics, physics, statistics, etc., should opt for industry-grade certifications like Certified Ethical Hacker (C|EH), Licensed Penetration Tester (L|PT), EC-Council Certified Security Analyst (EC|SA), Certified Chief Information Security Officer (CCISO), etc.
Other than that, aspirants can opt for industry-grade online training through self-paced courses:
- Complete Cybersecurity Combo Pack
- Basic Network and Database Security
- Network Security and Database Vulnerabilities
- Cloud Computing Security
Cloud Computing
Every company is leveraging the flexibility and power of the cloud. Cloud computing makes available on-demand cloud resources comprising computer systems, storage, processing power, data security, software services, etc., without keeping or managing them in-house. Cloud computing professionals provide this service to companies and are in massive demand in the tech industry. This job requires networking, knowledge of server-based tasks, Linux and web technologies.
The three most popular models of cloud computing services are Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), and Infrastructure-as-a-Service (IaaS). Those planning a career in the cloud must have a solid understanding of these services.
If you are interested in cloud computing, you can opt for the industry-level certifications and courses made available on Careervira. Exciting courses on specialized verticals of cloud computing can be found on Careervira.
- Architecting Hybrid Cloud Infrastructure with Anthos
- Explore Cloud Computing
- Alibaba Cloud Computing Specialization
- AWS Developer services
Python Programming
Programming belies all technology. A good and efficient programmer is always in demand, be it during a recession or pandemic. Programming skills are in massive demand - especially languages like Python. As per the Popularity of Programming Language Index (PYPL) 2022, Python is the leading programming language.
Python is one of the recession-proof programming language and technologies because, using this, developers and programmers can build security solutions, AI-based algorithms, data analysis systems, web apps, large and small automation tools, etc.
Python programmers are one of the most versatile and in-demand professionals in the corporate world. Programmers use Python popularly for data analysis, web development, Artificial Intelligence(AI) development, app development, etc.
If you want to master the Python programming language to get a decent job as a fresher, opt for industry-level Python certifications like PCAP - Certified Associated Python Programmer, or try some self-paced courses on Careervira:
- Python for beginners
- Intermediate Python Programming
- AI programming with Python
- Data Science on Microsoft Azure using Python
Data Management
Today, data is an invaluable commodity. Every company is leveraging customer and market data to extract insights for better business with the help of data management professionals. Such professionals are responsible for ensuring that the data generated by corporate systems and their consumers remains available all the time, should be accurate, and accessible by different departments involved in data analysis and Machine Learning(ML) operations. They help organize, maintain, store, and categorize large amounts of structured and unstructured data.
Effective data management plays a significant role in deploying IT systems and other analytical tools that run on data for analysis and predicting trends. Organizing a company's data appropriately for analysis helps the analysts use these data for decision-making and strategic planning. However, the number of skilled professionals in this vertical is limited despite the high demand.
As per the Grand View Research report, the global enterprise-grade data management market will grow at a CAGR of 14% by 2030. Despite massive demand, terabytes of structured and unstructured data remain unused because of the lack of proficient candidates to manage and handle data appropriately. This has led to a growing demand for data management professionals by companies.
Learning data management is now easy with numerous industry-level certifications:
Full Stack Development
Software development has always been a prime role in IT. If you know multiple skills (front-end and back-end) collectively called full-stack development, you can make your career recession-proof. Full-stack development gained popularity because companies wanted developers to be the jack of all trades. Developers with multiple skill set to develop both the client-side (front-end) and server-side (back-end) of the app being developed are seen as an asset to the company.
Full-stack developers can approach project development from different angles. In such software development, developers must ensure that client-side and server-side tasks are working satisfactorily. Aspirants and professionals must know and be proficient in different technology stacks to help a company build the entire software. They are called full-stack developers since they are experts in multiple technology stacks.
They know tasks like creating the User Interface (UI), gauging the User Experience (UX), setting up the database, preparing logic for the app, knowledge to use APIs, checking the security aspect of the software, testing the software for basic bugs, etc.
On top of that, they should know how to use different programming libraries, dependencies, and frameworks associated with them. Next, they must know how to use version control tools like GitHub or Perforce to manage the software development project. Again, database skills for handling NoSQL (MongoDB, CouchDB, etc.) and SQL (MySQL, SQLite, etc.) databases are also necessary.
Full-stack developers working in AI-based domains must know skills like Artificial Intelligence(AI) and Machine Learning(ML) training, data handling and fundamental knowledge of GPUs for Machine Learning(ML), cloud computing, and IoT.
If you desire to master full-stack development skills, you can opt for courses:
- Full Stack Web Development Internship Program
- Full Stack Development
- Full Stack Development Course (Bundle)
- PG Program in Full Stack Development
Blockchain Development
Blockchain helps optimize various technologies like data security, record maintenance, etc. This distributed, immutable ledger technology is secure and tamper-proof. No single organization or entity owns blockchain.
Hence, it maintains privacy and is free from fraud. Anything (intellectual property IP, copyrights, smart contracts, cryptocurrencies, healthcare databases, patents, brand trademarks, NFTs, logos, game assets, etc.) that is virtual, valuable, and needs security and tamper-free leverages blockchain. Therefore, blockchain developers are in demand across industries.
According to the Verified Market Research report, the global blockchain technology market will reach $190,682.56 million by 2030, growing at a CAGR of 54.70%. Blockchain gained popularity with the advent of cryptocurrency like Bitcoin, providing a secure and decentralized way of recording transactions that is reliable and free of third-party control.
Blockchain development is a recession-proof skill because numerous apps utilize blockchain technology for security and privacy. Blockchain developers must be proficient in networking, programming, software development, version control, system security, decentralized systems, complex analysis, testing, and computer software debugging.
If you want to become a blockchain developer choose from the many courses like:
- Comprehensive Ethereum Blockchain Developer Course
- PG Program In Blockchain Development
- Learn Blockchain Development: Convert App to Dapp
- Blockchain dApp Development (Ethereum, Solidity & Web3.js
Machine Learning And Deep Learning
Machine Learning(ML) is a subdomain combining data science and Artificial Intelligence(AI). It leverages filtered data for training Artificial Intelligence(AI) algorithms to make them learn from experience or data used in training. It can automatically pull valuable insights from data.
Deep learning is a sub-field of Machine Learning(ML) that mimics the human brain and neural systems. It uses artificial neural nets similar to our brain neurons. With deep learning, machines can predict or make decisions as humans do. Machine Learning(ML) skill is in massive demand.
The apps and software we see today - Amazon e-commerce web app, Netflix, Hulu, Facebook, YouTube, etc., leverage the advantage Machine Learning(ML) algorithms like recommendation engines, logistic regression, K-means clustering, etc. Because of these reasons, Machine Learning(ML) skill is recession-proof that many software developers prefer to own. Software Developers also pursue a Machine Learning career as a career progression because of these reasons.
Machine Learning Engineer requires knowledge of programming, data science math skills, statistics, algorithm development, and Artificial Intelligence(AI), and how to leverage different forms of data, such as structured, semi-structured, and unstructured data. Projects like object identification in images, pattern recognition, face recognition, recommending movies and purchase items, analyzing market trends automatically, and behavior analysis utilize Machine Learning(ML) and deep learning concepts.
Thus, Machine Learning(ML) and deep learning are two skills that can provide job security. One can train in these skills by opting from the variety of courses made available by Careervira.
Those with a background in math and programming can choose from an array of excellent courses taught by top educators and industry experts:
- IBM Machine Learning Professional Certificate
- Deep learning Nano Degree Program
- Advanced Certification program in Deep Learning
DevOps
DevOps is a collection of tools and practices where the development and the IT operation team work in partnership to achieve the software or project development tasks. It has become a buzzword because companies see that DevOps helps in the fast development and deployment of products while iterating changes as and when necessary.
In 2007, software development and IT operations communities raised concerns about the traditional app development methodologies, where developers find difficulties in handling and deploying the code. Therefore, to make development more agile yet iterative - DevOps became a state-of-the-art development approach.
DevOps engineers are responsible for continuously integrating multiple software or product features. They go with continuous delivery and deployment to make those features functional. According to the Allied Market Research report, the global blockchain technology market size will touch $57.90 billion by 2030, growing at a CAGR of 24.2% by 2030. On average, DevOps engineers get a salary of $1,10,686 annually.
You can acquire DevOps skills from the courses curated by Careervira:
Database
Modern applications generate large amounts of semi-structured and unstructured data. Such data gets generated in bulk amounts. With an exponential increase in the amount of data getting housed on the cloud, it is also needed to manage it. Database administrators responsibly handle Structured Query Language or SQL (structured) and Not Only SQL or NoSQL (semi-structured and unstructured) databases.
While data analysts examine the data for insights, database administrators organize data to ensure it is safe and organized for easy usage. They also ensure the data gets backed up appropriately if it needs to be recovered. They also use modern big data tools, like Hadoop, Apache Spark, etc., to bolster relational database approaches and process structured data.
SQL is a well-known database management query language used in database management. There are also NoSQL databases that database professionals use. Popular NoSQL databases are MongoDB, CouchDB, etc.
To learn database administrative skills using SQL and NoSQL, aspirants can opt for online self-paced courses from top edtech sites like Careervira.
VR/AR
The term Metaverse has already taken the technological world by storm. Take the example of Facebook. It changed its name to Meta in line with its new goal of transforming digital socialization using Virtual Reality (VR) and Mixed Reality (MR) to obtain enhanced interaction across digital systems.
VR and MR require skills like UI/UX design, VFX creation, use of graphic designing tools, game development, VR/MR programming-based development, an understanding of programming frameworks and libraries, immersive app development, head-gears and other VR/MR gadgets, etc.
Specifically, developing Metaverse games and entertainment will require skills like VR sound effects (3D sound), rigging, virtual design architecture, animation creation, model designing, etc. Other industries like healthcare, medical diagnostics, education, entertainment, retail, pharmaceuticals, training and simulation, gaming, etc., also extensively explore VR and MR. Thus, this is a great domain to build your skills in.
Careervira is a top online course-providing site that curates multiple VR and MR-related industry-grade courses:
The best tech skills in 2024 include information security, data management, cloud computing, etc. In this section, we will discuss the top tech skills of 2024. These recession-proof tech skills are from different branches of the tech industry that can help make your career recession-proof in 2024.
Information Security
"Large-scale disruptions to everyday life are viewed as opportunities to cybercriminals," said Brad Puckett, Global Portfolio Director for Cybersecurity at Global Knowledge. "Changes in position, posture or circumstance mean possible open doors and expose vulnerabilities while the workforce and infrastructure is strained and distracted. Cybersecurity careers become increasingly secure and positions valued as uncertainty grows in the enterprise," he says.
Information security, a branch of cybersecurity, is already in demand. As long as there is technology, there will be attempts to breach, harm or damage these technologies and their associated information by cracking the system. Thus, it is apparent that the need to protect the system and prevent leakage of its information is huge.
Companies that run on technology, offer products and online services, or leverage complex digital systems need information security professionals to protect their business and customer data from malicious threats.
The International Information System Security Certification Consortium (ISC2)'s research and study shows that the information security workforce gap is almost 500,000 in the U.S. and 4.07 million globally. The cybersecurity workforce is required to grow by 145% to close the skill gap and better defend enterprises globally.
Aspirants who want to master information security skills must take professional courses and cybersecurity certification in different specialized verticals. They must know computer fundamentals, software, programs, malware, database security, understanding networking and network protocols, web applications, physical security, IoT, etc.
According to the Allied Market Research report the global cyber security market size will reach $478.68 billion by 2030 at CAGR of 9.5%. These figures are clear indicators that cybersecurity and information security skills will be invaluable, even if other technological sectors encounter a recession.
Therefore, aspirants and professionals must opt for specialized courses to prepare well and protect their careers from recession. Those with a degree in computer science, mathematics, physics, statistics, etc., should opt for industry-grade certifications like Certified Ethical Hacker (C|EH), Licensed Penetration Tester (L|PT), EC-Council Certified Security Analyst (EC|SA), Certified Chief Information Security Officer (CCISO), etc.
Other than that, aspirants can opt for industry-grade online training through self-paced courses:
- Complete Cybersecurity Combo Pack
- Basic Network and Database Security
- Network Security and Database Vulnerabilities
- Cloud Computing Security
Cloud Computing
Every company is leveraging the flexibility and power of the cloud. Cloud computing makes available on-demand cloud resources comprising computer systems, storage, processing power, data security, software services, etc., without keeping or managing them in-house. Cloud computing professionals provide this service to companies and are in massive demand in the tech industry. This job requires networking, knowledge of server-based tasks, Linux and web technologies.
The three most popular models of cloud computing services are Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS), and Infrastructure-as-a-Service (IaaS). Those planning a career in the cloud must have a solid understanding of these services.
If you are interested in cloud computing, you can opt for the industry-level certifications and courses made available on Careervira. Exciting courses on specialized verticals of cloud computing can be found on Careervira.
- Architecting Hybrid Cloud Infrastructure with Anthos
- Explore Cloud Computing
- Alibaba Cloud Computing Specialization
- AWS Developer services
Python Programming
Programming belies all technology. A good and efficient programmer is always in demand, be it during a recession or pandemic. Programming skills are in massive demand - especially languages like Python. As per the Popularity of Programming Language Index (PYPL) 2022, Python is the leading programming language.
Python is one of the recession-proof programming language and technologies because, using this, developers and programmers can build security solutions, AI-based algorithms, data analysis systems, web apps, large and small automation tools, etc.
Python programmers are one of the most versatile and in-demand professionals in the corporate world. Programmers use Python popularly for data analysis, web development, Artificial Intelligence(AI) development, app development, etc.
If you want to master the Python programming language to get a decent job as a fresher, opt for industry-level Python certifications like PCAP - Certified Associated Python Programmer, or try some self-paced courses on Careervira:
- Python for beginners
- Intermediate Python Programming
- AI programming with Python
- Data Science on Microsoft Azure using Python
Data Management
Today, data is an invaluable commodity. Every company is leveraging customer and market data to extract insights for better business with the help of data management professionals. Such professionals are responsible for ensuring that the data generated by corporate systems and their consumers remains available all the time, should be accurate, and accessible by different departments involved in data analysis and Machine Learning(ML) operations. They help organize, maintain, store, and categorize large amounts of structured and unstructured data.
Effective data management plays a significant role in deploying IT systems and other analytical tools that run on data for analysis and predicting trends. Organizing a company's data appropriately for analysis helps the analysts use these data for decision-making and strategic planning. However, the number of skilled professionals in this vertical is limited despite the high demand.
As per the Grand View Research report, the global enterprise-grade data management market will grow at a CAGR of 14% by 2030. Despite massive demand, terabytes of structured and unstructured data remain unused because of the lack of proficient candidates to manage and handle data appropriately. This has led to a growing demand for data management professionals by companies.
Learning data management is now easy with numerous industry-level certifications:
Full Stack Development
Software development has always been a prime role in IT. If you know multiple skills (front-end and back-end) collectively called full-stack development, you can make your career recession-proof. Full-stack development gained popularity because companies wanted developers to be the jack of all trades. Developers with multiple skill set to develop both the client-side (front-end) and server-side (back-end) of the app being developed are seen as an asset to the company.
Full-stack developers can approach project development from different angles. In such software development, developers must ensure that client-side and server-side tasks are working satisfactorily. Aspirants and professionals must know and be proficient in different technology stacks to help a company build the entire software. They are called full-stack developers since they are experts in multiple technology stacks.
They know tasks like creating the User Interface (UI), gauging the User Experience (UX), setting up the database, preparing logic for the app, knowledge to use APIs, checking the security aspect of the software, testing the software for basic bugs, etc.
On top of that, they should know how to use different programming libraries, dependencies, and frameworks associated with them. Next, they must know how to use version control tools like GitHub or Perforce to manage the software development project. Again, database skills for handling NoSQL (MongoDB, CouchDB, etc.) and SQL (MySQL, SQLite, etc.) databases are also necessary.
Full-stack developers working in AI-based domains must know skills like Artificial Intelligence(AI) and Machine Learning(ML) training, data handling and fundamental knowledge of GPUs for Machine Learning(ML), cloud computing, and IoT.
If you desire to master full-stack development skills, you can opt for courses:
- Full Stack Web Development Internship Program
- Full Stack Development
- Full Stack Development Course (Bundle)
- PG Program in Full Stack Development
Blockchain Development
Blockchain helps optimize various technologies like data security, record maintenance, etc. This distributed, immutable ledger technology is secure and tamper-proof. No single organization or entity owns blockchain.
Hence, it maintains privacy and is free from fraud. Anything (intellectual property IP, copyrights, smart contracts, cryptocurrencies, healthcare databases, patents, brand trademarks, NFTs, logos, game assets, etc.) that is virtual, valuable, and needs security and tamper-free leverages blockchain. Therefore, blockchain developers are in demand across industries.
According to the Verified Market Research report, the global blockchain technology market will reach $190,682.56 million by 2030, growing at a CAGR of 54.70%. Blockchain gained popularity with the advent of cryptocurrency like Bitcoin, providing a secure and decentralized way of recording transactions that is reliable and free of third-party control.
Blockchain development is a recession-proof skill because numerous apps utilize blockchain technology for security and privacy. Blockchain developers must be proficient in networking, programming, software development, version control, system security, decentralized systems, complex analysis, testing, and computer software debugging.
If you want to become a blockchain developer choose from the many courses like:
- Comprehensive Ethereum Blockchain Developer Course
- PG Program In Blockchain Development
- Learn Blockchain Development: Convert App to Dapp
- Blockchain dApp Development (Ethereum, Solidity & Web3.js
Machine Learning And Deep Learning
Machine Learning(ML) is a subdomain combining data science and Artificial Intelligence(AI). It leverages filtered data for training Artificial Intelligence(AI) algorithms to make them learn from experience or data used in training. It can automatically pull valuable insights from data.
Deep learning is a sub-field of Machine Learning(ML) that mimics the human brain and neural systems. It uses artificial neural nets similar to our brain neurons. With deep learning, machines can predict or make decisions as humans do. Machine Learning(ML) skill is in massive demand.
The apps and software we see today - Amazon e-commerce web app, Netflix, Hulu, Facebook, YouTube, etc., leverage the advantage Machine Learning(ML) algorithms like recommendation engines, logistic regression, K-means clustering, etc. Because of these reasons, Machine Learning(ML) skill is recession-proof that many software developers prefer to own. Software Developers also pursue a Machine Learning career as a career progression because of these reasons.
Machine Learning Engineer requires knowledge of programming, data science math skills, statistics, algorithm development, and Artificial Intelligence(AI), and how to leverage different forms of data, such as structured, semi-structured, and unstructured data. Projects like object identification in images, pattern recognition, face recognition, recommending movies and purchase items, analyzing market trends automatically, and behavior analysis utilize Machine Learning(ML) and deep learning concepts.
Thus, Machine Learning(ML) and deep learning are two skills that can provide job security. One can train in these skills by opting from the variety of courses made available by Careervira.
Those with a background in math and programming can choose from an array of excellent courses taught by top educators and industry experts:
- IBM Machine Learning Professional Certificate
- Deep learning Nano Degree Program
- Advanced Certification program in Deep Learning
DevOps
DevOps is a collection of tools and practices where the development and the IT operation team work in partnership to achieve the software or project development tasks. It has become a buzzword because companies see that DevOps helps in the fast development and deployment of products while iterating changes as and when necessary.
In 2007, software development and IT operations communities raised concerns about the traditional app development methodologies, where developers find difficulties in handling and deploying the code. Therefore, to make development more agile yet iterative - DevOps became a state-of-the-art development approach.
DevOps engineers are responsible for continuously integrating multiple software or product features. They go with continuous delivery and deployment to make those features functional. According to the Allied Market Research report, the global blockchain technology market size will touch $57.90 billion by 2030, growing at a CAGR of 24.2% by 2030. On average, DevOps engineers get a salary of $1,10,686 annually.
You can acquire DevOps skills from the courses curated by Careervira:
Database
Modern applications generate large amounts of semi-structured and unstructured data. Such data gets generated in bulk amounts. With an exponential increase in the amount of data getting housed on the cloud, it is also needed to manage it. Database administrators responsibly handle Structured Query Language or SQL (structured) and Not Only SQL or NoSQL (semi-structured and unstructured) databases.
While data analysts examine the data for insights, database administrators organize data to ensure it is safe and organized for easy usage. They also ensure the data gets backed up appropriately if it needs to be recovered. They also use modern big data tools, like Hadoop, Apache Spark, etc., to bolster relational database approaches and process structured data.
SQL is a well-known database management query language used in database management. There are also NoSQL databases that database professionals use. Popular NoSQL databases are MongoDB, CouchDB, etc.
To learn database administrative skills using SQL and NoSQL, aspirants can opt for online self-paced courses from top edtech sites like Careervira.
VR/AR
The term Metaverse has already taken the technological world by storm. Take the example of Facebook. It changed its name to Meta in line with its new goal of transforming digital socialization using Virtual Reality (VR) and Mixed Reality (MR) to obtain enhanced interaction across digital systems.
VR and MR require skills like UI/UX design, VFX creation, use of graphic designing tools, game development, VR/MR programming-based development, an understanding of programming frameworks and libraries, immersive app development, head-gears and other VR/MR gadgets, etc.
Specifically, developing Metaverse games and entertainment will require skills like VR sound effects (3D sound), rigging, virtual design architecture, animation creation, model designing, etc. Other industries like healthcare, medical diagnostics, education, entertainment, retail, pharmaceuticals, training and simulation, gaming, etc., also extensively explore VR and MR. Thus, this is a great domain to build your skills in.
Careervira is a top online course-providing site that curates multiple VR and MR-related industry-grade courses:
