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10 New Technology Courses that are Worth Applying For

10 New Technology Courses that are Worth Applying For

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While looking for new technology courses, it is better to consider any stream’s present and future possibilities. With the fast-paced evolution of technology, multiple fields of study are emerging to provide in-depth knowledge of the area.

As the new sessions are about to begin, students are on the lookout for the latest study programs and courses. The most popular new technology courses are shared by Know It Get It. We have compiled a comprehensive list of all new technology courses and skills, emphasizing the big picture. 

List of New Technology Courses

1. Big Data Engineer Master’s Program

Technology Courses

Eligibility: Bachelor’s degree in computer science software, computer engineering, applied math, physics, statistics, or a related field.

Career Opportunities: Big data engineers work for tech, entertainment, retail, and trade companies.

This course teaches students a variety of skills needed to succeed as an enormous data engineer. More specifically, students learn Apache Spark in Python programming language, the MongoDB database app, and Hadoop and large Data frameworks. It is Co-developed with IBM.

2. Data Scientist Master’s Program

Technology Courses

Eligibility: Students should have completed a 4 year U.S. bachelor’s degree or equivalent.

Career Opportunities: Jobs related to analyzing machine learning, data visualization, and data analysis.

This is a world-class master’s degree in data science from Northwestern University School of Professional Studies. The first 4 terms (12 months) will cover foundation courses that will teach data science theory to students. From term 5 onwards, students will complete industry-relevant coursework in Artificial Intelligence. There will be a capstone project towards the end of the degree program.

3. Data Analyst Master’s Program

Technology Courses

Eligibility: Applicants must complete their graduation preferably in statistics, IT, math, economics, and computer science.

Career Opportunities: Jobs are offered in telecommunications, finance, manufacturing, construction, utility companies, and other large companies.

Students learn analytics from the bottom up during this data analytics course, which incorporates lessons on SQL databases and other data analysis tools. Through this program, also co-created with IBM, students can learn programming languages like Python and R.

4. Artificial Intelligence Engineer Master’s Program

Technology Courses

Eligibility: Bachelor’s degree is a minimum requirement. It may include a degree in computer engineering, data science, computer information systems, and computer science.

Career Opportunities: AI engineer, algorithm engineer, AI software engineer, AI platform engineer, AI developer.

Students can master deep learning during this machine learning course, which was created specifically for those pursuing AI. It also comprises lessons in machine learning and several programming languages. The hiring growth of AI practitioners grew up to 32% between the years 2019 to 2020 (As per the data from LinkedIn). Now AI has become more mainstream post-COVID. These courses are available in both online and offline mediums.

AI is a future-ready skill similar to DevOps but is specifically for AI-related projects, combining big data and machine learning to automate the path from development to production. AI could even help solve the semiconductor chip shortage, with Google claiming that it’s using AI to style chips faster than humans.

5. Machine Learning Certification Course

Technology Courses

Eligibility: Bachelor’s degree in a technical area such as computer science, statistics, physics or electrical engineering.

Career Opportunities: Jobs offered in large international organizations such as Apple, Microsoft, Amazon, Accenture, Autodesk, etc.

machine learning certificate course is also ideal for those aspiring to work in AI, as this program focuses on machine learning and how specific techniques are used throughout the AI world. At times of COVID, machine learning helped a lot in predicting how infectious a patient is likely to be and boost up the drug development. It is used for machine learning including generating customer insights, AI, detecting fraud, and recommender systems.

6. AWS Solutions Architect Certification Training Course

Technology Courses

Eligibility: Minimum 6 months of working experience in AWS cloud in a sales, managerial, purchase, technical or financial role.

Career Opportunities: Jobs in cloud sales and purchase manager, key account manager, SysOps administrator, cloud developer, cloud software engineer, cloud DevOps engineer, and AWS big data specialist.

Students can get certified as Amazon Web Services, or AWS, architects through this course, which covers essential skills and programs like VPC, EC2, IAM, and EBS.

Amazon Web Services (AWS) is one of the cloud platforms, it features database storage, networking, content delivery, and 200+ services overall. Since it’s currently the most important platform, we’ll highlight some specific facts about AWS during this section and provide an additional course recommendation for it.

7. AWS SysOps Associate Certificate Training

Technology Courses

Eligibility: 5 years of experience as IT security personnel in designing and implementing security solutions.

Career Opportunities: Jobs offered as cloud architect, cloud developer, cloud administrator, cloud DevOps engineer, cloud security engineer, cloud network specialist, cloud data architect, and cloud consultant.

Students can master AWS platform deployment, management, and operations during this program, which is additionally a prerequisite to the AWS Certified DevOps Engineer exam.

Cloud computing jobs are in demand because more companies are switching from classical server infrastructure to cloud solutions. Consistent with Forrester Research, the marketplace for global public cloud services will reach $482 billion in 2022 and increase up to 21.7% from 2021.

8. Certified Ethical Hacking Course

Ethical Hacking

Eligibility: A Degree or diploma in computer science or IT.

Career Opportunities: Jobs in an information security analyst, cyber security analyst, security engineer, penetration tester, and information security manager.

In this course, students use and learn different techniques to protect networks from unethical hackers by thinking like them. Research also shows that remote work was the source of up to twenty of cyber security attacks in 2020. In fact, 24% of employers in one survey had to spend money to deal with security incidents after shelter-in-place orders spurred the sudden necessity of telework.

9. Mobile development

Mobile development

Eligibility: Interested candidates must hold the necessary computer application skills.

Career Opportunities: Mobile application developer, android application developer, iOS application developer, software engineer, java application developer, and objective-C developer jobs.

Learning mobile development technology skills also comes with the perk that if you’ll build apps for others, you’ll build and sell your own as well–so it’s a perfect career path for aspiring entrepreneurs.

10. UI/UX Design

UI/UX Design

Eligibility: Bachelor’s degree in science, technology, engineering, arts, and commerce.

Career Opportunities: User researcher, visual/graphic designer, information architect, interaction designer, usability analyst.

User Interface (UI) professionals create interfaces for apps and websites to look visually attractive, user-friendly, and flow well. UX (user experience) specialists do plenty of research and testing to believe every element of how the user will interact with the company and website.

However, this is often the right career choice for those that need a creative meet and analytical sort of role.

Ultimately, UI is best for those that want to specialize in the visuals, layout, and general look and feel of a page or product. UX design is best for people who want. to use analysis and testing to help a business seamlessly meet its users’ needs.

How to choose a prevalent course?

The above-listed new technology courses are becoming prevalent in the evolving world of technology. Each and every field is different and important in their places. The new technology and its futuristic approach will be leading us to smart ideas. Whereas, there are several other courses also available such as Angular training course, Selenium training course, Java certification training, Node.js training, App builder certification training, Big Hadoop certification training, etc., while we have discussed in detail some of the latest New Technology Courses.

Related: How to Choose a Career: 7 Simplified Steps



The Educational landscape is changing dynamically. The new generation of students thus faces the daunting task to choose an institution that would guide them towards a lucrative career.

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