Artificial Intelligence with Chandigarh University - Complete career guide in 2021

What strikes you when you hear the word “ Artificial Intelligence?” Artificial Robots, AI-based Application Tracking System, or maybe the superhero movie “Avengers: Age of Ultron”? These are some practical examples of Artificial Intelligence. Artificial Intelligence and Machine Learning are revolutionary technologies. We will continue to see the advancements in these fields in 2021 and beyond.

Many CEOs of the top companies believe that AI is going to be bigger than the internet revolution. LinkedIn has stated Artificial Intelligence Specialist as one of the Top 10 emerging jobs around the globe.

A career in Artificial Intelligence is not of the same size for everyone. If you’re interested in starting a career, taking up a formal education like Artificial Intelligence Engineering is the right choice. Let’s look at the step by step guide if you are looking to pursue a career in Artificial Intelligence course.

What is Artificial Intelligence?

Artificial Intelligence is a branch of computer science and is also called Machine Intelligence. In layman terms, AI technology instructs the machine how to understand the human minds.

Job Responsibilities After Artificial Intelligence Engineering 

• Explore appropriate Machine Learning algorithms
• Converting data science prototypes
• Execute Machine Learning tests
• Train systems when needed
• Develop Machine learning applications

These responsibilities will change depending on the level of expertise(fresher or experienced professional).

Starting a career in Artificial Intelligence Engineering

1. As a Fresher - (A Bachelor’s Degree)

As a fresher, following courses with an Artificial Intelligence specialization can help you land a good job.

• A Bachelor’s degree in the following subjects:
• Computer Science
• Information Technology
• Mathematics and Statistics

Apart from a Bachelor’s degree, one must develop other skills like analytical skills, problem-solving skills, effective communication, and industry knowledge. A Bachelor’s degree will help you initiate an entry-level position in Artificial Intelligence. However, if you are looking for advanced job opportunities at high packages, it is suggested that you take up a Master’s program to enhance your skills and expertise.

You can look for universities and colleges providing specialized courses in Artificial Intelligence. Chandigarh University (CU) in North India offers B.E CSE with specialization in Artificial Intelligence and Machine Learning. The Artificial Intelligence course presents a robust foundation in the major AI technologies. The state-of-the-art industry-sponsored labs like Microsoft Innovation Center and IBM Software Lab helps students to have practical experience. Renowned academicians inculcate skills like Deep Learning, Human-Computer Interaction, and Augmented Reality in students.  What adds a feather to the cap is the unique scholarship options. The university has introduced a CUCET entrance exam for students interested in taking admissions into different courses to reward talented and brilliant students. The test opens a unique path for students to avail of 100% scholarships up to Rs 33 crores.

2. A Master’s degree 

If you are looking out for leadership roles, it is mandatory to have a Master’s degree or PhD.  A Master’s degree with advanced Computer Science education with a specialization in Artificial Intelligence will allow you to kickstart your AI career. The curriculum of the Master’s program is designed to develop professional skills. The dynamic coursework is related to real-world problems and application domains.

3. A Working Professional 

If you are working in the IT industry and looking for a transition into AI or already working in the Artificial Intelligence field and looking to brush up your AI skills, then it is recommended that you do an additional certification or Master’s program in AI. An Artificial Intelligence course helps one learn avant-garde skills and technologies. Additional AI certification programs will help you develop practical and theoretical knowledge. It will further help you win your brownie points while applying for a job.

4. Technical Skills required for Artificial Intelligence Engineer

Artificial Intelligence is a buzzword and one of the emerging technologies. Professionals must focus on developing some technical skills that potential employers are looking for. This will open doors to become an AI engineer.

- Programming Languages like Python, C++, Java, and R 

Learning basic coding skills and being proficient in programming languages like Python, C++, Java, and R is required.

- Neural Network Architectures

Neural networks help to solve challenging problems like speech recognition, image classification, and translation.

- Natural Language Processing

Natural Language Processing includes two areas of work like linguistics and computer science. Hence, it is significant to have decent control and working knowledge in libraries like NLTK.

- Statistics, Linear Algebra, and Calculus

A solid understanding of statistics, Linear algebra, probability and Calculus is mandatory to understand algorithms and machine learning functions.

We are a part of an era driven by technology where more professionals are interested in innovative technologies. AI is making advancement, hence,  we all need to catch up with the technology. Educate yourself today to earn the jobs of tomorrow.

Note: The views expressed in this article are that of the institute and do not reflect/represent those of Shiksha