Artificial intelligence (AI) and Machine Learning (ML) are both very futuristic and promising specialisations in the computer engineering sector. Since AI and ML can be utilised in various industries, there is a growing demand for professionals qualified in these fields. These technologies can be used to solve diverse problems, improve efficiency, and enable the automation of tasks and processes in the long run.
AI and ML technologies are being developed at a very fast pace as they have applications in various industries. Sectors like healthcare, transportation, education, finance, automotive, manufacturing, E-commerce, and even entertainment are adapting AI and ML to provide a futuristic experience to their customers and users. If you are someone who is interested in pursuing a career in AI and ML, there are many options available to you today.
Let us take a look at the top AI and ML courses to choose from, and the best AI and ML career opportunities for qualified professionals:
Top AI and ML Programs after 12th
There are many AI and ML programs you can choose from to build a global career in these fields. Bachelor of Technology or B.Tech programs are very popular after 12th as they provide a comprehensive base for students in AI and ML. Here are the leading programs in AI and ML that you can pursue to elevate your understanding of AI and ML:
- Tech Computer Science and Engineering (CSE)
- Tech CSE with specialisation in Artificial Intelligence and Machine Learning
- Tech CSE with specialisation in Cybersecurity and Forensics
Best Careers for Students Specialising in AI and ML
Here is a comprehensive list of leading career opportunities in AI and ML that are available to you after graduation:
- AI Engineer
AI engineers are responsible for designing, developing, testing, building, and maintaining AI systems that can automate different tasks and processes to provide a better user experience to consumers. Professionals need to have a deep understanding of programming languages to develop predictive models and create automotive systems that can stand the test of time and be secure for use by being resistant to cyberattacks.
- ML Engineer
ML engineers develop self-learning and self-operating machines, programs, and software that can process data and learn from inputs for the best possible outcomes. ML engineers are in high demand as they work in tandem with AI engineers. They need to possess excellent programming skills while also being able to think on their toes, problem-solve on the go, and innovate existing technologies for a more advanced future.
- Data Scientist
Data scientists are tasked with collecting, analysing, interpreting, and storing relevant data from different sources. Their observations and analysis help organisations make informed decisions that can enhance their profits, employee experience, customer engagement, and much more. Programming languages are key to making it as a data scientist in the industry. These professionals are in high demand and are highly paid by businesses for their expertise.
- Robotics Engineer
Robotics engineers are responsible for creating usable machines that implement the principles of robotics to reduce workload and streamline different tasks. For example, robotics engineers are in high demand in the manufacturing industry as they can positively create mechanisms that can save time, reduce labour costs, ensure personnel safety, and speed up the manufacturing process by a long shot. The demand for robotics is only going to increase in coming years, based on market trends.
- Research Scientist
Research scientists work in close collaboration with AI and ML engineers to conduct path-breaking research in these fields and drive technological advancements. They study computational intelligence systems to find solutions to existing problems within the AI and ML industries. Studies show that research scientists are in high demand by these industries to help usher in the next generation of technological innovations in AI and ML.
- Data Analyst
Data analysts are professionals who use AI and ML tools to collect, study, process, and analyse data to glean information from said data. These professionals play a major role in the building and development of businesses today as the information shared by them can help businesses develop operational groundwork, build marketing strategies, design customer studies, and better anticipate the needs of their customers in the future.
- AI Consultant
An AI consultant works with different organisations and businesses to help them design and develop their AI networks. They advise organisations regarding their AI operations by analysing existing AI systems, integrating AI into the systems wherever possible, and ensure the overall efficiency of their AI network. AI consultants are valued by businesses as they provide an unbiased review of their AI systems that helps them build a robust network to safeguard their long-term interests.
- AI Ethics Consultant
AI ethics consultants are responsible for studying AI systems and ensuring that they are created and run ethically without any malpractice against users. They ensure transparency, unbiased views, and a fair integration of AI into business modules for the development of said business. The cyberspace holds a lot of potential danger to users and it is the responsibility of AI ethics consultants to ensure that all government and ethical regulations are followed to the letter by those using these technologies.
- Product Manager
Product managers in the AI and ML industries are tasked with developing and promoting various AI and ML products to potential customers. They work with a robust team of dedicated developers and innovators to create cutting-edge AI and ML products that can help businesses and individuals use these products with ease. It is a product manager’s responsibility to ensure that the products are easy to use, maintain, and upgrade for users in the long run.
- Natural Language Processing Engineer
Natural language processing engineers are responsible for developing algorithms that enable computing systems to grasp and process human languages in a professional manner. One of the best examples of natural language processing is the use of automated chatbots on websites, and translation services available online. Professionals with strong programming skills and an in-depth knowledge of languages can excel as natural language processing engineers.
Conclusion
Pursuing an AI and ML program from one of the top AI and ML colleges in Nashik can help you build a thriving career in various industries. Make sure that the college you choose has a robust AI and ML department for specialised learning and training. Good luck!