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Top 5 Trending Professional Courses after Graduation

In need to rise above peers and stay updated to industry skills, many people are opting for online post-graduation or diploma courses after graduation. Here’s a list of the top five trending courses picked by professionals and students to explore new opportunities in the industry!

With the changing trends and needs, a graduate degree is considered not enough to excel in a field. To rise above peers and fulfil dreams, some people opt for post-graduation courses or PhD whereas others even prefer diploma or some professional courses. These courses help the individual to deep-dive further into their desired field and thus helps in providing better opportunities and salaries.

Most professional courses incorporate a host of industry-related assignments that help students learn how to deal with industrial environments using professional tactics. Here are some of the trending professional courses that one can opt for after graduation:

Artificial Intelligence and Machine Learning Course

The course is designed for individuals who wish to showcase their AI and Analytic Talent. The professional AI and machine learning courses help the individual learn concepts and skills required to develop practical AI systems and understand all the changes posed by AI. Machine learning is more than just an algorithm that requires maths, stats, data analysis, computer science and programming skills to excel in a field. This course is best for someone who wants to learn critical concepts, formulation, algorithms and practical examples in machine learning and AI. Various career options in AI are:

• Big Data Engineer
• Business Intelligence Developer
• Data Scientist
• Machine Learning Engineer
• Research Scientist
• AI Data Analyst
• AI engineer etc.

Full Stack Web Development Course

A Full-stack web development course is designed so that an individual can get acquainted with both the process of creating and the development of a website. The demand for this professional course is increasing as companies hire these individuals based on their knowledge and experience in each project. 

Various Career options available in full-stack are:

• Full-Stack Developer
• Back-End Developer
• Front-End Developer
• Web developer
• Web Designer etc.

The growth of the gaming industry is constantly increasing with a growth in demand for video games. This increasing demand has opened up opportunities for game designers. They work on the initial 6 vision of the game, ideas, aesthetics, characters and levels. By learning a game design course, an individual learns many skills like conceptualizing projects, bringing concepts to life, teamwork, creativity, effective communication and many more. There are various career opportunities available for game design aspirant, which include:

• Junior Game Designer
• Level Designer
• Lead Designer
• Content Designer
• Creative Director etc.

Fintech Technology Course

Fintech refers to Financial Technology. It’s a new technology that automates and improves various financial services. The financial service sector needs people who are well versed with how fintech changes the understanding of finance. Career options with financial technology course degree are:

• Data Science
• AI and ML
• WealthTech
• Cyber Security
• Mobile App Development etc.

Data Science Course

Data science is a blend of mathematics, tools, algorithms and machine learning techniques. The knowledge of all these tools helps us understand patterns from raw data, which is for big business decisions. Due to the high demand, data science online course is becoming very popular. Some of the most common titles for data scientist include:

• Business Intelligence Analyst
• Data Mining Engineer
• Data Architect
• Data Scientist etc.

Various institutes are providing professional courses by both online as well as offline medium. Herovired offers online professional courses to aspiring students. They are known because they provide online certificate courses and give the best guidance under industry’s professionals.