You know you are in for a great career when large MNCs like Google, Microsoft, Facebook, and Amazon are investing heavily in AI and Data Science. These companies have access to voluminous amounts of data and they are looking for efficient ways to sort them and use them to make profit. The demand for professionals who can develop machine learning models, build & maintain data pipelines, and analyse data to identify trends and patterns is constantly on the rise and it is set to be so for atleast the next 30 years. Therefore, finding a job in the Artificial Intelligence and Machine Learning field is a piece of cake for you after you complete a course on them.
Machine Learning Links Data Science & AI
While the terms AI, Data Science, and Machine Learning are often interchanged and misused in the common parlance, these are all different. Yes, they are all connected within the same domain. However, there is a clear distinction among these. Each of them have a specific meaning and different applications too. While data science is concerned about collecting, sorting, and maintaining data sets, Artificial Intelligence is about using machines to execute programs and software. The AI uses the data sets collected through data scientists to do its job. Machine learning is the process by which AI learns how to do this job. It is kind of a derivative field from Artificial Intelligence. It equips machines with learning algorithms which they use to perform their tasks. All the three fields use data sets to study the market, companies, and customers to bring out new products and services depending upon the industry they work on. So, when you join a data science course in Bengaluru it will help your career in any of the fields.
AI is the Logical Conclusion of Data Science & Machine Learning
While Data Science forms the base for Artificial Intelligence, Machine Learning gives it the functionalities. Artificial Intelligence is still in its development stages too. What we see in the market as ChatGPT, or Alexa, or Siri are just basic systems which are captivating to the end user. The real potential of AI is so big, that when used correctly can revolutionise all the sectors in every industry in the world. It can turn conventional products into bright commodities thereby influencing the market. It can easily complete high-volume tasks with just a few preset values as inputs. It can train machines to perform any function. The data sets compiled by data scientists can be utilized to their full potential by AI.
Nature of the Jobs in Each of these Fields are Different
As you might have surmised by now, the three fields have a wide scope in terms of employability. The list of jobs in Data Science includes, Data Scientist, Data Architect, Data Science Manager, Principal/Chief Data Scientist, Data Analyst, Data Warehouse Engineer, Business Intelligence Developer, Computer Vision Engineer, and Data Scientist – R/Statistical Modelling. In Machine Learning, you can become a ML Engineer, Python Programmer – Machine Learning, Natural Language Processing (NLP) Scientist, Human-Centred Machine Learning Designer, Computational Linguist, and more. In the AI field, you have openings for Artificial Intelligence Solution Leader, Advanced Analytics & Artificial Intelligence Lead, AI Scientist in Deep Learning, Business Analyst, and more.
Experience in Machine Learning Helps Your Career in AI
If you are aiming to get into AI design and development, then a working knowledge in Machine Learning is very important. You need to be an expert in programming languages like Python, C++, JavaScript, Java, C#, Julia, Shell, etc. You will also need other skills like Data Engineering, Exploratory Data Analysis, Data Modelling, Signal Processing Techniques, Applied Math and Algorithms, Neural Network Architectures, Linear Algebra, Calculus, Statistics, and other non-technical skills like communication, rapid prototyping, Language, Audio and Video Processing, and Reinforcement Learning, and Computer Vision.
Get Placed in High Paying Jobs after a Data Science Course
Data Science, AI, and ML based jobs are growing up to be the best paying jobs in the world right now. In India, the average salary of an AI/ML Engineer ranges between ₹ 3.6 Lakhs to ₹ 30.0 Lakhs, with an average annual salary of ₹8 lakhs. The Data Scientists are equally well paid, with about ₹12 lakhs per year for a data scientist. Every position is these fields is of importance, and thus it equates to a well-paying job along with a lot of perks and benefits. With the boom in the industry expected to happen before 2030, the salaries are expected to rise well above the current average values.
Data Science, Machine Learning & AI are Important for Digital Transformation
Data Science, Machine Learning, and AI are very transformative technologies that are set to change the information technology landscape. Their potential applications are limitless and companies are rushing to get an early bite out of this cake. Getting into the field early on will give you a competitive advantage in the long run. When you amass sufficient experience in one of these domains, you can pivot from that and get a better profile in the other field too. After all, the three domains are inter-connected and have many things in common.
So, what are you waiting for? Enrol for our data science course in bangalore and start your career afresh in these wonderful fields.