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If you are planning to enroll in a machine learning course in the US, you can expect the following from it: 

A. Learn Fundamental Concepts and Principles of Machine Learning

You will learn the basics of machine learning from a well-curated program in the US. The three key aspects that you will learn from a machine learning program are as follows:

• Task: It revolves around the main problem that generates interest. The task is often linked to certain predictions, estimations, and recommendations. 
• Experience: It revolves around learning from past data and using that learning to accomplish future tasks. The performance depends on the specific machine learning problem or task. 
• Performance: It defines the potential of a machine to resolve a problem and deliver the best outcome. 

B. Explore Different Machine Learning Techniques and Algorithms 

Machine learning revolves around using different techniques to feed data to the system and automate tasks or solve problems. The four techniques that you will learn from a machine learning online course include supervised learning, unsupervised learning, reinforcement learning, and semi-supervised learning. 

Machine learning algorithms are used for identifying patterns in data, predicting outputs, and improving the performance of automated systems. An online machine learning course will teach you popular algorithms like linear regression, logistic regression, random forest, and decision trees. 

C. Gain Technical Knowledge of Programming Languages 

Since machine learning is executed through coding and knowledge of programming languages is necessary to understand how different ML algorithms work. Python is the most commonly used programming language in machine learning. Therefore, you can find a Python machine learning course to learn the basics of the coding language. 

D. Develop Practical Skills in Building ML Models

Apart from expanding your theoretical knowledge, you can always brush up on your practical knowledge from online machine learning courses. The courses are an opportunity to work on industry-relevant projects and figure out whether you are ready to apply your acquired skills in a real-world setting. The projects and internships are an opportunity to test your practical knowledge before you venture into the professional world.    

E. Get Access to Industry Experts, Mentors, and Networking Opportunities 

The best machine learning course will ensure that you get ample networking opportunities. You will be able to interact with different industry experts and gain valuable insights from their experience. Moreover, you will be able to use your connections in the industry to leverage job opportunities. 

F. Obtain a Certificate upon Completion 

After completing your machine learning course, you will receive a certification. The different courses on machine learning are offered in collaboration with top universities in the country. Therefore, the certification will validate your skills and give you an edge over other candidates.

You will come across different formats of machine learning courses online. Some of them are as follows:

A. Bachelor's Degree Programs   

A machine learning course online that offers a bachelor's degree usually goes on for three to four years. A high school diploma is necessary to enroll in these courses.  

B. Master's Degree Programs  

If you are looking for advanced AI and machine learning courses, the Master's degree programs are appropriate for you. You will be able to pursue these programs after completing your bachelor's degree. 

C. Graduate Certificate Programs  

You can enroll in graduate certificate machine learning and artificial intelligence courses after completing your BSc in computer or any other technical field. These certificate programs have a duration of one to two years or less. 

D. Online/Distance Education Courses  

If you need flexibility from machine learning courses, online or distance education courses are the best for you. Some programs are completely online. Others are offered in blended mode, where learners need to visit the campus on certain days. The fully online courses are suitable for learners all over the globe. 

E. Professional Certificates and Training Programs 

The professional certificate and training programs help learners to crack offers from top organizations across the globe. Sometimes learners enroll in professional machine learning certifications to get promotions or higher remunerations. 

F. Specialized Workshops and Seminars 

If you want a machine learning crash course, you can enroll in specialized workshops and seminars. They are extremely short courses for expanding industry-relevant projects. 

G. Corporate Training Programs  

Sometimes companies offer special corporate training programs to help employees understand the different techniques and algorithms of machine learning. These artificial intelligence and machine learning courses might help employees and teams work on special projects. 

Upgrad offers various machine learning courses in collaboration with the top universities in the US. Some of them are as follows:

University of Maryland 

The University of Maryland offers a professional certification in machine learning and AI. It is an undergraduate or associate degree for a duration of 7 months. The course is offered in 100% online mode and offers knowledge about industry-relevant topics like predictive analysis, data visualization, hypothesis testing, and more. 

Liverpool John Moores University 

Upgrad offers an MS in Machine Learning in association with Liverpool John Moores University and IIT-Bangalore. The program of 20 months offers knowledge about more than 20 programming languages, tools, and libraries. 

The best online machine learning courses offer the following benefits to learners:

Broaden Your Knowledge and Skill Set  

You will be able to expand your knowledge and skills related to machine learning and artificial intelligence. You can also enroll in specific programs like a machine learning Python course to receive streamlined knowledge. 

Give You an Edge over Other Professionals  

A machine learning course will help you gain a competitive edge over other competitors. Recruiters will prefer skilled professionals over non-skilled ones any day. 

Expand Career Opportunities  

You can enroll in the best machine learning course online to explore different career opportunities. A certified machine learning professional is in demand for various roles like a business analyst, data analyst, automation specialist, and more. 

Open Doors to the AI Industry  

Since machine learning is a part of artificial intelligence, pursuing a course related to it will also enhance your AI knowledge. Several professionals trained in machine learning courses work as AI engineers and similar roles. 

Explore New Areas of Research or Development   

At times, machine learning courses offer you valuable insights to utilize for research or development. Therefore, you can enroll in these programs to engage in research and development. 

Enhance Your Professional Networking Abilities  

A machine learning beginner course is the best way to connect with industry experts. You will be able to create strong connections, which will help you excel in your professional life. 

Stay up-to-date with Current Developments  

The machine learning industry is constantly evolving, and it is crucial for professionals to be abreast of these changes. Enrolling in a machine learning course is the best way to stay updated about the latest changes in the industry. 

Increase Lifetime Earnings Potential  

A machine learning course will validate that you have relevant skills to excel in the industry. Employers will trust you with more critical projects, and you will be promoted to higher positions. Gradually, you will also observe a growth in your salary. 

Costs Associated with Studying Machine Learning in the USA 

The cost associated with studying machine learning in the US will vary depending on the course you are choosing. Factors influencing the cost of machine learning courses in the US include the duration and type.

You will need a background in computer science or a relevant field to be eligible for a machine learning course. Some coding knowledge is also preferable before enrolling in a machine learning course. A few documents that you will have to submit include your identity proof, address proof, and mark sheet of the last degree you obtained.

The steps to apply for machine learning courses in the US are as follows:

1. Open the application portal and provide the required details. 
2. Scan and upload the demanded documents. 
3. Sit for a short course to let the university assess your knowledge about the field (if applicable).
4. Get shortlisted and wait for the acceptance letter.
5. Pay the fees and book your seat in the program.

Note: Keep in mind the application deadline and hurry so that the seats don't run out.

The demand for machine learning professionals is quite high in the US. In the current decade, the demand for machine learning professionals is expected to rise by 200%. In fact, machine learning engineering is the fourth-fastest growing job role in the USA. 

After pursuing a machine learning course for beginners, you can expect a minimum salary of $96,778 per year in the US. Your earning potential will increase with your experience in the industry. Besides, you should know that your salary will vary according to your location, job role, and other factors. 

The top job titles to explore after pursuing a machine learning course are as follows:

A. Data Scientist

The job of a data scientist is collecting, analyzing, and interpreting huge volumes of data with the help of machine learning algorithms. They deliver actionable insights which are useful for making major business decisions. 

B. Machine Learning Engineer

A machine learning engineer needs to run different machine learning experiments with the help of programming languages like Scala, Java, Python, and more. They build different machine learning algorithms to make them run autonomously with minimal human intervention. 

C. Research Scientist/Analyst 

A research scientist or analyst helps develop different machine learning technologies and algorithms. They usually work in research institutions or academia, and other industries to develop new products and services. 

D. Business Analyst 

A business analyst is responsible for assessing data to make predictions about future trends. They often work with management to improve business performance and make data-backed decisions.

The top companies looking for machine learning certificate holders in the US are as follows:

• eBay
• Bain & Company
• Engtal
• Tapjoy
• Snap Inc

What are the requirements for taking a machine learning course? 

You will need a degree in computer science or a related field to be eligible for a machine learning course. Your knowledge of statistics, probability, linear algebra, and calculus will also come in handy when you are planning to pursue a machine learning course online. 

How much does it cost to take a machine learning course? 

The cost of a machine learning course will vary according to its duration, content, and type. But the courses offered by Upgrad in association with top universities of the world pretty always value for money. 

Are there any scholarships available for machine learning courses in the US? 

You can get some scholarships and other financial aid to pursue machine learning programs in the US. 

Is there an industry certification associated with a machine learning course in the US? 

Yes, you will receive an industry certification after completing a machine learning course in the US successfully. 

What kind of job opportunities will I have after completing a machine learning course? 

After completing a machine learning course, you will be able to explore different career opportunities like a machine learning engineer, data analyst, web developer, cloud computing administrator, and more. 

How long does it typically take to complete a machine learning course? 

The duration to complete a machine learning course varies according to the type of program. While certifications are shorter and last for around 7 months, obtaining a master's degree in ML can take up to 20 months.