A few years back, nobody knew what the terms cloud computing, blockchain, cryptocurrency, data science, or machine learning were. But today, these technologies are some of the most popular and in-demand fields in the world. You probably know these terms if you’re a tech lover, and if you aren’t, you should be. Well, that’s how technology evolved, and a lot is yet to change. There’s always something new and fascinating to explore with every development in this ever-growing and profitable industry. That brings us to top courses for technology lovers.
You’ll almost certainly discover that you’ll need formal training to stay up to speed with the latest skills to achieve career success. The courses we’ll list below can help. It doesn’t matter whether you’re thinking about taking a technical course after high school or have already graduated and are looking for something more specialized to put on your resume.
With that said, here are the leading technology courses tech lovers can pursue:
1. Cloud Computing
In the IT (Information technology) sector, cloud computing is changing how people are hired. In the future, IT firms will replace employees with generic skills with those who have cloud computing expertise. The market for experts will grow substantially as organizations embrace the pros of cloud computing across various sectors. This will undoubtedly increase the demand for these professionals.
Individuals who have completed the certification program are in high demand among large enterprises like Microsoft, IBM, Amazon, and Cisco. These companies are searching for people with cloud computing credentials to boost their abilities in developing dynamically scalable and reliable apps. The credential includes real-world industry projects that will allow you to explore technical obstacles connected with this branch.
Why Cloud Computing?
- IT sector game-changer
- Demand for cloud expertise
- Certification by major enterprises
- Real-world industry projects
- Boosts app scalability and reliability
2. Data Science
A data scientist is a professional responsible for collecting, analyzing, and interpreting large data sets. Data science is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data.
The demand for these kinds of scientists has grown exponentially as businesses increasingly rely on data-driven decision-making. There are many paths you can take to become one. If you have a background in computer science or mathematics, you may be able to get started in this field without formal training. Once you have the necessary skills, you can take several career paths as a data scientist.
Why Data Science?
- Extracts insights from data
- Multidisciplinary field
- Exponential demand growth
- Various paths available
- Background in CS or math
3. Cybersecurity
Increasing cyber threats have resulted in increased cybersecurity employment across all major industries. Until 2021, worldwide spending on cybersecurity goods and services is expected to rise by 12% to 15%. The Internet market is anticipated to develop at a 7% rate this year, providing potential career prospects. With a cybersecurity certification, you’ll be more desirable as a candidate.
The credential will also assist you in working as a network or systems administrator, security engineer, IT manager, or security consultant. There are major IT companies offering certifications in cybersecurity. Some big names are Cisco, CompTIA, and ISACA. They all offer different types of certification, as mentioned. Plus, they are globally recognized and will give you the skills to work and develop in this field.
Why Cybersecurity?
- Increased job opportunities
- Global spending rise expected
- Credentials enhance desirability
- Certifications by major IT companies
- Cisco, CompTIA, ISACA certifications
4. Blockchain
The global market for blockchain technology is expected to grow from $2.9 billion in 2019 to $39.7 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 67.3%. The growth of the blockchain industry is driven by factors such as the increasing adoption by major industries. The rising interest in Initial Coin Offerings (ICOs) also contributes, as well as the growing popularity of cryptocurrencies such as Bitcoin and NFTs.
A certification after this course permits working with some of the world’s largest organizations, including IBM, Microsoft, Deloitte, and Accenture. Among other things, it will teach you about distributed ledger technology, smart contracts, and cryptocurrency wallets.
Why Blockchain?
- Market growth projection
- Certification for global organizations
- Covers distributed ledger tech
- Focus on smart contracts, wallets
- Driven by industry adoption
5. Machine Learning
Machine learning is a field of computer science that uses statistical techniques to give computer systems the ability to “learn”. To clarify, it lets them boost their performance at data-related tasks without being explicitly programmed. Machine learning is a rapidly growing field with many opportunities for career growth. There are different types of jobs, ranging from entry-level positions to senior research scientist positions.
Starter jobs in machine learning include data scientists, research engineers, and software engineers. Senior positions, in contrast, are research scientist and engineering management positions. Machine learning is an exciting field to be a part of, and there are many opportunities for career growth.
Why Machine Learning?
- Computer systems “learn”
- Rapidly growing field
- Entry to senior-level positions
- Various career paths are available
- Opportunities for growth
6. Internet of Things (IoT)
The Internet of Things (IoT) sector is one of the most rapidly growing and exciting fields in the technology industry today. It has a major impact on many industries, such as healthcare, transportation, manufacturing, and retail. Additionally, as IoT technology continues to evolve and become more widespread, the opportunities for those looking to enter this field will only continue to grow.
If you’re interested in a career in IoT, one thing is a priority, if not crucial. You need strong computer science and engineering foundation. This will give you the technical skills to develop and work with IoT devices and systems.
Why IoT?
- Rapidly growing field
- Impacts various industries
- Requires strong foundation
- Opportunities continue to grow
- Focus on computer science, engineering
7. Animations and Graphics
The field of graphics and animations offers many exciting career opportunities for those with a creative mind and a passion for art. With the ever-growing popularity of movies, video games, and other forms of entertainment that rely on visual effects, there is a great demand for talented animators and graphic artists. The growth in the animation domain has risen, especially after the advent of NFTs or non-fungible tokens and social media.
NFTs are unique irreplaceable digital assets that usually give owners copyright of multimedia. There are tons of opportunities awaiting animation experts in the market. For example, you could become an animator, graphic designer, or even a producer. Some of the most popular software programs used in the animation and graphics industry include Adobe Photoshop, Adobe After Effects, Autodesk Maya, and Blender.
Also, here are some of the best animation courses.
Why Animations and Graphics?
- Exciting career opportunities
- High demand for talent
- Growth after NFTs, social media
- Careers: animator, designer, producer
- Popular software: Photoshop, Maya, Blender
8. Web Development
Information technology studies focus on designing and developing web applications and sites. Students can look forward to learning a variety of programming languages and coding. You may expect to learn to code websites and specific testing processes that help you ensure that the code works properly and a website performs as expected with this program.
There are several kinds of degrees available. Some schools offer specialized computer science degrees that include web development as a part of the curriculum. A web developer is someone who creates websites that function online. This job annually pays between $68,000 and $110,000 in the United States in 2022.
Why Web Development?
- Designing web applications
- Learning programming languages
- Coding websites, testing processes
- Pays $68,000-$110,000 annually
- Specialized computer science degrees
9. Computer Networking
Thanks to the advantages of computer networking, getting a degree in how computers connect and interact can pay off immensely. Physical connections such as cables and wireless options, such as Wi-Fi and cloud computing, are examples.
You could study topics like device installation, maintenance, and troubleshooting, and evolve to specialize in advanced but lucrative niches such as server configurations, local area networking, router administration, and cloud technology. The most common careers are network administrator, analyst, and engineer.
Why Computer Networking?
- Advantages of networking
- Focus on cables, Wi-Fi, cloud
- Careers: administrator, analyst, engineer
- Specialization in server, networking
- Lucrative niches like cloud tech
10. Database Management
DBMS (Database Management Systems) has always been a demanding subject and only grew with the emerging popularity of Big Data. Students with a flair for mathematics, problem-solving, and analytical thinking have an edge in this field.
A technology course in DBMS for tech lovers will provide them with a detailed understanding of various database models, and their design for convenience and performance/space efficiency. You will also learn about data mining, warehousing, and OLAP (Online analytical processing).
A career in DBMS can lead you to become a database administrator, analyst, or designer. As data sciences evolve, professionals who handle and secure data will be in high demand and irreplaceable.
Why Database Management?
- Demanding with Big Data
- Flair for math, problem-solving
- Detailed understanding of models
- Careers: administrator, analyst, designer
- High demand as data evolves