Best-in-class Mentors: Enrolling in IIM SKILLS machine learning course ensures that you learn from the best-in class mentors. These mentors help you learn everything from fundamentals to advanced learning to help you grow holistically. They help you further master the concepts, provide individual feedback, and help you develop soft skills to get future-ready.

Hands-on Learning: Machine learning involves a lot of work on software, tools and programming. IIM SKILLS ensure you don’t just learn these concepts theoretically but also get hands-on learning experience on these industry-relevant tools. Thus, helping you transition into job-ready mode as soon as you complete the course.

Virtual Learning: All the learning sessions are held online so as to give you the benefit of attending the sessions from anywhere around the world. All you need is a laptop and internet connection to be available to be a part of the learning sessions.

Lifetime Access: While you pay once for the machine learning course fees, you get a lifetime access to all the resources, sessions, and Learning management system (LMS). So, int future if you ever want to revisit a concept or session, you can do so freely without having to pay extra bucks for it.

Fringe Benefits: At IIM SKILLS, we believe in all-round development of students for maximum learner satisfaction. That’s why we provide personalised career counselling and guidance at every step of the way. Plus, you get internship and placement opportunities absolutely free of cost. Another unmissable perk is the post-training support, simply meaning you can get support from IIM SKILLS even after finishing up the course

Anyone who wants to make a career in the field of tech industry with a strong passion to do so is more than suitable to learn machine learning. Whether you’re an aspirational machine learning engineer or a student or working professional in computer science, tech or data field— you make a perfect candidate for machine learning.

To simplify things for you, if you belong to any of the below-mentioned categories, your candidature fits to opt for this machine learning course:

Computer Science Students: as computer science students, you can build your skills from the ground up to prepare for future careers in the field of machine learning.

Research Scientists: if you’re looking to switch your careers into more futuristic roles, machine learning can prove to be an exciting career field with promising job prospects.

Business Analysts: a machine learning course can help you transition into more advanced roles in the tech industry with handsome salary packages.

Marketing Professional: gaining skill set in machine learning enables you to enhance efficiency and automate tasks to get better job prospects and higher salary packages.

Data Scientists: those looking to upskill to get more senior level positions can take up machine learning and power up their career prospects for more success.

Data Analysts: those already in the field of data analyst can leverage machine learning to enhance their expertise to become eligible for advanced roles.

Machine learning is one of the most advanced and emerging fields that offers highly-rewarding career opportunities. The job roles are both interesting as well as high-paying, making it a sought-after career path. While the first and the most obvious choice is to grow into a machine learning engineer, there are many other roles available after doing a machine learning course.

Machine Learning Engineer: With robust programming skills and expertise in data science and statistics, machine learning engineers are tasked with both designing and developing machine learning systems.

Day to day roles and responsibilities include:

• creating deep learning systems
• Running experiments and tests in machine learning
• Implementing machine learning algorithms

Data Scientist: Proficient in mathematical and coding skills, data scientists manage big data and extract valuable insights. Using this, they create tailor-made solutions to help companies achieve their goals and objectives.

Day to day roles and responsibilities include:

• building data models to address business problems
• Collecting, processing and analysing data
• Presenting this data info using data visualisation techniques

AI Research Scientist: In the field of Artificial Intelligence, AI research scientists are specialists tasked with developing and implementing cutting-edge AI technologies. Further, they are tasked with pushing the boundaries of what’s possible with AI.

Day to day roles and responsibilities include:

• conduct AI research to develop new technologies.
• Design prototypes to test the efficacy of nascent AI models
• Disseminate research findings through publications and conferences

 Business Intelligence Developer: Business intelligence developers design, develop, and maintain business intelligence solutions. Plus, they translate business needs and requirements into technical specifications, create visualizations,and reports.

Day to day roles and responsibilities include:

• design, develop, and maintain BI solutions
• Create and implement queries upon request for data
• Present business intelligence info through visualisation and reports

 AI Product Manager: This is one of the senior-level roles responsible for entire development and implementation of AI products from scratch till end. One of their key roles is to ensure the product outcomes meet the user and market demands.

Day to day roles and responsibilities include:

• define and strategize the vision for new AIproducts
• Manage the entire product cycle from development to deployment to refinement

Conduct market research to identify trends for latest AI applications

Medical coding requires a mix of technical skills, such as a deeper understanding of medical terminology, CPT coding, and healthcare regulations. You should also be curious, detail-oriented, computer literate, and have strong communication, research, and organizational skills.

To enrol in a machine learning course, you should have completed a high school diploma or bachelors from a recognized board or university. In addition, having a basic understanding of computers is also required because a machine learning course involves working on multiple tools and software.

The best course for machine learning is offered by IIM SKILLS. With best-in-class mentors, a hands-on learning approach, innovative projects, and personalised feedback, IIM SKILLS provides the best machine learning course that makes you job-ready from day one. Among other things, IIM SKILLS does offer career counselling and post-training support absolutely free of charge.

The truth is machine learning requires you to have an understanding of basic mathematics–including probability, statistics, and linear algebra. Plus, you also need to have a working knowledge of programming and algorithms. However, getting into machine learning isn’t as hard as you think!

Machine learning engineer is the most sought-after and popular role in the field of machine learning. It requires you to design, develop and execute machine learning models to solve real-world problems. Plus, it allows you to work in a wide variety of industries. Just so you know, the machine learning engineer profile demands you to have strong programming skills and deeper understanding of algorithms

According to Ambitionbox, the salary after machine learning can range on a broad scale of 2 to 40 lakhs per annum. This salary is subject to multiple factors including academic background, expertise, experience, location, job demand, and more.

If you’re not satisfied after the first session of the course, you can cancel your enrolment and we’ll offer you a refund. However, in any other case or scenario, no refund will be initiated. Refund Policy