What is Artificial Intelligence (AI) /Machine Learning (ML) ?
Firstly, we must understand that both Artificial Intelligence and Machine Learning are both interlinked. Machine Learning is a significant component of Artificial Intelligence.
Artificial Intelligence is a highly evolving technology that makes machines work like humans (in some scenarios).On the other end, Machine Learning uses high-end processes / computer programs, so that these machines are able to learn. Without learning, machines would not be in a position to work like humans; hence, Machine learning plays a significant role for successfully making Artificial Intelligence work.
THE TRENDS AND DEMANDS OF AI AND ML IN THE GLOBAL CONTEXT:
Firstly, according to a research done by IBM, there will be around 2.7 million jobs (approximately, It can scale up as well) available worldwide by 2020, in the domain of Artificial Intelligence and Machine Learning.
On the healthcare front, a new type of computers (powered by chips with built-in AI and cryptocurrency technology) have been built. These computers have the capability to solve the world’s most challenging health problems, by collecting and carefully scrutinizing human molecular data.
Logistics and supply chain management is another pertinent area, where AI will be dominating. The obvious reason is that most of the logistics activities are routinized, and hence they can be automated. Hence, there will be a humongous need to incorporate Artificial Intelligence / machine learning in the Logistics Industry. A bevy of job openings can be expected in the AI/ML domain.
In fact, with the systematic incorporation of AI/ML in the logistics industry, it will eventually become highly efficient with faster turnaround time.
Another astonishing fact revealed by McKinsey Global Institute is that AI can be used in 600 ways across a few industries. Now, if we go a little bit deeper and try to understand the sheer power of A.I (600 diff. ways to use), we can to some extent be able to understand the ‘potential’ of AI.
In banking sector, AI can be used to detect patterns that are related to money laundering. AI can also help process huge amount of transactions and help in decision-making.
In Retail Sector, AI is being used in the area of theft detection. In the near future, AI will be able to analyze the customer’s purchasing potential through some specific traits such as their facial expression, behavior, number of companions etc. AI will even go to the extent of alerting the shop staff as to where this potential customer is located in the store.
JOB TRENDS IN ARTIFICIAL INTELLIGENCE (AI) / MACHINE LEARNING (ML):
A notable trend to consider is that the number of job searches in leading job portals for AI/ML have doubled in the last two to three years. This means (to some extent) job seekers are interested to make a career in AI/ML.
A few research firms are of the view that AI/ML would be the next biggest technological revolution in the IT world. If this happens, then you can at least get a vague idea regarding the number of job openings across the globe.
According to latest industry estimates, an AI Professional having just 2–4 yrs. of experience draws a salary package of 15–20 lakhs and those AI Professionals with an exp. of 4–8 yrs. of experience can draw a salary package of 20–50 lakhs. With the stated numbers, you can get to know how well an AI professional is paid.
Source: Big Data, Analytics and Insight
Sectors such as IT, FinTech, E-commerce, logistics, manufacturing will have a huge number of AI related job openings.
The three most happening jobs in the AI domain are software engineer, data scientist and machine learning engineer.
U.S, Canada, Europe, China, Japan and India are some of the countries, which have a huge number of openings in the Artificial Learning / Machine Learning domain.
VARIOUS POSITIONS IN ARTIFICIAL INTELLIGENCE / MACHINE LEARNING:
· Machine learning engineer.
· AI Scientist.
· Data Scientist.
· Research Scientist.
· R & D Engineer.
· Business Intelligence developer.
· Intelligence Analyst.
· Software architect.
· Machine Learning Cloud consultant.
· Machine Learning / Artificial Intelligence Intern.
QUALIFICATION AND KEY SKILLS NEEDED:
· Computer Science background with Maths and physics as subjects (preferable but isn’t mandatory).
· Real-time knowledge on coding.
· Should be interested in Mathematics.
· Well familiar in Calculus, Algebra and probability theory.
WHY OPT FOR A TRAINING PROGRAM IN AI/ML?
To learn Artificial learning / Machine learning is not that easy. It doesn’t mean it is too hard either. However, a well-structured AI training program with all the needed facilities can work wonders for candidates who are interested to take up the course.
A training program will give you a brief idea of implementing AI/ML in a real-time scenario. Upon that the certification that you earn after successful completion of the training program, can act as an added bonus in your portfolio.
SOME OF THE CONCEPTS COVERED IN AI/ML TRAINING COURSE ARE:
· Introduction to AIML.
· Intelligent agents
· Representation and Search.
· How to apply logical reasoning in AI/ML
· Introduction to Deep learning and data science.
· Role of Artificial Neural networks in Deep Learning.
· Identify where and when can AI and Machine Learning be particularly applied.
· Ideation, designing and conceptualization in building smart systems.
· Statistical modelling ETC.,
WHY YOU SHOULD CHOOSE SARANSH AS YOUR TRAINING ASSOCIATE?
Saransh Software Solutions is known for conducting customized and Industry relevant IT training programs. Our training programs act as a complete package, wherein a trainee will not only learn the concepts and techniques of AI/ML from a real-time perspective, but at the same time will undertake assignments that will make us assess the trainees even better.
Parallelly, we invest some of the training time (around 5 to 10%) in conducting soft skills / personality development sessions, which will build the overall personality of the trainee from a professional standpoint. Upon that being a core Software Development Company and having an inquisitiveness and stronghold in the field of I.T, we truly understand the macro and micro aspects of conducting a truly successful IT training program.
With a modular approach and a well-laid down methodology, the AI/ML training program is designed and developed as per the current industry needs. Another major focus would be on the trainer, as without a renowned Industry expert, things will not work out in highly evolving technologies such as AI/ML.
Saransh has a fantastic team of AI/ML trainers who not only have an in-depth insight on the working of AI/ML, but also at the same time precisely knows how to impart the right knowledge to the candidates who want to make a career in AI/ML, from an Industry standpoint.
For any further queries, feel free to contact us at the information provided below:
Reach us@ 78936 73592/8897010262
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