• AI (including ML) has the potential to create $1.4T to $2.6T of value in marketing and sales across the world’s businesses. -Machine learning has the capability of improving product quality up to 35% in discrete manufacturing industries, according to Deloitte's recent report.
• Almost 50% of companies that adopted AI over the next 5 to 7 years have the potential to double their cash flow with manufacturing leading all industries due to its heavy reliance on data according to McKinsey.
• AI and machine learning-based product defect detection and quality assurance show the potential to increase manufacturing productivity by 50% or more. Machine Learning is among the top tech skill in 2020 by Gartner research.

As the term suggests, it is a research and technology-oriented job and that’s what makes it interesting and different from other jobs. Machine Learning professionals are the highest paid IT professionals since it needs in-depth knowledge of statistics, love for data, logical reasoning, critical thinking, understanding of mathematics, and a fair amount of programming skills.

• If you love to explore and have the attitude to learn then you don’t need any masters or the Ph.D. degree to become a Machine Learning Engineer.
• Professionals in different job functions or industries who want to help their company leverage Machine Learning should learn Machine Learning.
• Apart from students, other professionals who can benefit from learning Machine Learning are database administrators, business analysts, Statisticians, researchers, computer scientists, and data engineers.

Machine Learning & Deep Learning are the subset of Artificial Intelligence (AI). Data Science includes Machine learning & Deep Learning as predictive models along with Exploratory Data Analysis. A Data Scientist needs to have good ML skills and intuition to raise right question to solve business problems. Whereas, ML & DL engineers are only focus towards specific prediction problems like image processing, Natural language processing (NLP), pattern recognition, Semantics, Crowd Computing, Sentiment Analysis etc. So, in brief a DS knows the fundamentals of all ML & DL techniques for basic problem solving whereas ML engineers are more focused on specific problems.

Hachion provides self-certification to the candidates upon successful completion of their course. Unlike earlier days industry values subject knowledge over certification hence one should be thorough with the subject

We provide 100% job assistance to the Hachion students, once they complete the course. We also provide resume writing, mock interviews and resume marketing services as part of our job assistance program.