Top 5 Technologies To Learn in 2021

Learning new tech is a dream of all techies out there? But with this rapidly changing technology world, it can be tough to cope up. 

Are you also searching for different top technologies to learn in 2021? 

If you said yes to the question above, then you are in the right place. Here is a complete list of which latest technologies anyone should learn in 2021.

 

List Of The Best Technology To Learn For Future

1. Blockchain 
2. Internet of Things
3. Artificial Intelligence
4. Machine Learning
5. Cyber Security 

Let's know about these new technologies in 2021. 

Blockchain 

You must have heard about blockchain concerning bitcoins and cryptocurrency. But blockchain is not limited to bitcoins only. 

The level of security provided by blockchain makes it ideal for many other uses. 

The security level of blockchain eliminates the need of using third party packages for transaction validations. With the demand for increased security, blockchain is getting more popular. 

With this new demand, more skilled blockchain developers are required. So if you are planning to learn a top technology, then blockchain can be your choice.  

To support the decision of learning blockchain, we have mentioned 5 top advantages of learning blockchain:

a. Edge Cutting Technology: Blockchain is one of the emerging top technologies in 2021. Learning blockchain will provide you an edge over other developers. Blockchain holds its position in the top technology news of the tech world. 

b. Industry Demand: Blockchain provides a high level of security to its users. With the demand for increased security in the applications, more industries are adopting blockchain. 

c. Data Security: Blockchain eliminates the need for an entity to store crucial data. It eliminates the chances of security breaches in your data and applications. 

d. Integration with emerging technologies: Blockchain development involves the integration of emerging new technologies like the Internet of things. So with blockchain, you learn other new technologies as well.  

e. High Job Prospects: With the increased demand for blockchain developers, you can grab a job as a blockchain developer. The number of skilled blockchain developers is less. Thus there is a lot more scope with blockchain development. 

Internet of Things(IoT)

Do self-driven cars drive you crazy? Do you know about the core underlying technology behind its working? If No, then don't worry, you will get your answer here.

The core technology working behind self-driven cars and similar devices is the Internet Of Things. Internet of Things is the new future of technology with increasing demand for wireless connections. 

The Internet of Things has already allowed multiple devices to communicate with each other over the net. Examples include home appliances, cars, and many more. 

The development of smart devices has increased the demand for people equipped with IoT knowledge. The future of IoT is vast. It helps in improving the data exchange security, efficient communication, and better decision making power. 

Currently, we are using fewer IoT-enabled devices. The expected use of such devices and this technology is high. Thus, learning IoT and its concepts can be useful for you in nearing technology's future.

To support the decision of learning IoT, we have mentioned 5 top advantages of learning IoT:

a. Enhanced Communication: IoT has enabled seamless communication between individuals and devices through wireless connectivity. 

b. Career Oriented: IoT has opened boundaries for creativity and innovation. With this technology, you can easily explore and create useful applications for solving real-life problems. Thus, your career path will be full of new opportunities. 

c. Easy to Learn: Is it right to learn IOT? this question still lingers in the mind of many. To remove this doubt, I would like to tell you that learning IOT is very easy. There are plenty of resources to learn and gain hands-on experience in IoT. You can learn about IoT fundamentals and applications to gain knowledge. 

d. Path to automation: IoT has made it possible to make many devices automated and smart. Prominent examples can be smartwatches, smart cars, and many more. If you desire to create one such application or make another smart-device, then learning IOT will be the right decision. 

e. implementation of core technologies: IoT helps in the implementation of many-core technologies. With IoT, you can implement concepts like sensors, actuators, and many more. 

Artificial Intelligence

Artificial Intelligence is no longer a new word for the world. AI has created a lot of buzz over the past decade. 

Artificial intelligence has a plethora of applications in the real world. 

The application ranges from image recognition to human emotion detection systems. AI has helped in improving prediction systems. 

With so many applications, there is still a need for AI developers. With this growing demand, AI developers can grab the opportunity. 

 
The market prediction shows the growth of AI to a $195 billion industry by 2025. With such widespread loads of job opportunities will be created in various IT fields.

Thus, learning AI at this point will be the right decision. 

To support your decision of learning AI, here are some pointers:

a. Growing Career: Choosing artificial intelligence as a career path can be the best decision. Artificial intelligence has an extensive market. Learning AI will help you to stay above an edge and updated in this technological world. 

b. Versatile Technology: AI is a versatile technology. Its application ranges over a plethora of areas. Thus, with artificial intelligence, you can work in your desired area of development.

 
c. Better User Experience: One can improve user experience with artificial intelligence.  User experience is a core factor in the success of the application. With artificial intelligence, you can predict user behaviors and action patterns. Thus, learn artificial intelligence and deliver the best services possible to your customers. 

d. handle a large amount of data: Artificial intelligence techniques can deal with chunks of data without difficulty. Thus, with artificial intelligence, you can make use of data to accomplish different tasks. With data, you can easily predict user behaviors, patterns in the market, and many more. 

e. Returning to society: Artificial intelligence has various applications that can help in benefitting society's people. Healthcare, medical, farming applications of artificial intelligence can provide benefits to society. You can develop or improve existing applications to contribute to society.  

Machine Learning 

Machine learning is the subset of artificial intelligence. Both the technologies can work in collaboration. Machine learning has a plethora of applications.

With such wide applications, one can easily be a budding machine learning developer. With machine learning, you can develop smart applications like number plate detection systems, human emotion detection systems, plagiarism checkers, and many more. 

Machine learning applications are increasing in the coming years. The reason behind it is the versatile functionality of machine learning tools and techniques. 

Machine Learning has formulated a separate career path for engineers. The career path is known as Data Scientist.

Data scientist core working depends on machine learning techniques. Thus, learning machine learning can help you become a data scientist. 

To support your decision to learn machine learning, here are some pointers:

a. Wide range of applications: Machine learning has a plethora of applications in the real world. Machine learning is a great tool to solve real-life problems in various areas. Thus, with machine learning, you can solve the problems in your areas of interest. 

b. Pattern and trend identification: With machine learning, you can identify different patterns in data. Identifying such patterns and trends in data can help you get a deep dive into useful insights. 

c. No human intervention: Machine learning techniques prevent user intervention in handling data. Preventing user intervention helps in avoiding errors in the data processing. 

d. handling multiple types of data: With machine learning algorithms, you can easily handle different kinds of data. Machine learning algorithms are versatile enough to distinguish between the data types. These algorithms and methods provide techniques for handling data types. 

e. Continuous improvement: Practicing machine learning algorithms frequently can help you improve the accuracy of your results.

Cyber Security 

Security of data is necessary in every area in today's world. Cybersecurity has been growing with the increase in the need for security. 

Learning cybersecurity tools and techniques can help you to prevent such cybersecurity attacks. Learning cybersecurity techniques and methodologies can help explore a new area of career. 

It will be a challenging field to step in but the returns will stay lucrative. 

By learning cybersecurity, you can help organizations to protect themselves from security breaches. 

To support your decision to learn cybersecurity techniques, here are some pointers:

a. Evergreen Industry: Cybersecurity is an evergreen industry. It will never be out of scope. Cybersecurity services will remain a core service in the IT industry. 

b. Working with top organizations: After learning cybersecurity tools and algorithms, you can gain hands-on experience with top security organizations. 

c. Personal growth: if you gain knowledge about cybersecurity techniques, you can protect your data as well. Learning cybersecurity techniques requires extensive research work. Applying an analytical mind will help you gain knowledge and experience in the field.  

d. Choice of the industry: Cybersecurity is a core technology used by almost every industry. Thus, you can easily choose the industry of your choice and gain experience in it. 

e. High Pay Scale: Learning cybersecurity techniques and applying them is a difficult task. The importance of learning cybersecurity continues to grow. With this importance, the industry pays a high salary to those acquainted with the required skills. Thus, you can easily earn a large amount of money in the cybersecurity career path.  

Conclusion 

Though the technologies keep on changing, these technologies are among the everlasting ones. With these technologies, you can explore and identify your potential. But this does not mean that you stick to only these technologies. 

The world of technologies will continue to change. Thus, stay updated and adaptable to the changing world. But at present, these technologies can help you land your dream job and even progress in the coming future. 

Choose the technology that interests you and start your learning journey.

If you liked this post, share it with your dear ones and help them choose their learning journey. 

Also, tell us in the comments about the technology you chose to learn.