ImpactTek

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AI MACHINE LEARNING

Machine Learning Field and Job Market

Machine learning is a type of artificial intelligence that allows computers to learn from data and make decisions on their own. It is used in a variety of industries, from finance to healthcare, and is becoming increasingly essential for businesses that want to stay ahead of the competition. As such, the number of jobs related to machine learning is expected to grow exponentially in the coming years.

In terms of job titles, the most popular positions in the machine learning field include data scientist, software engineer, and machine learning engineer. Data scientists are responsible for collecting and analyzing data to develop insights and build models that can be used to solve problems. Software engineers design and build the software that enables machines to learn and make decisions.

 

Machine Learning Average Pay

The salary of machine learning jobs can range anywhere from $80,000 to $150,000 annually, depending on the experience and qualifications of the individual. For those just getting started in machine learning, salaries typically start in the low end of this range. However, as experience is gained and expertise is developed, salaries can quickly increase.

Furthermore, it is important to note that the salary of machine learning jobs can also depend on the type of role. For example, chief data scientists, who are the most senior members of a team, can command salaries of up to $200,000 or more. On the other hand, entry-level positions can have salaries of around $80,000.

How To Become Machine Learning Professional

Are you looking for a job in machine learning? If so, you’ve likely asked yourself “what do I need to study to get a machine learning job?” Having a working knowledge of machine learning is essential to be considered for any job in the field. But there’s more to it than that. You need to be knowledgeable in the core concepts, have a strong grasp of the underlying mathematics, and have a working understanding of the programming languages most commonly used for machine learning.

  • Core Concepts of Machine Learning
  • Mathematics
  • Programming Languages
  • Data Science
  • Machine Learning Platforms

ImpactTek offers 12-week hands-on AWS Machine Learning with Python training program.

Job Placement

Our training includes job placement which consists of:

Resume building: Our professional resume writer will develop a resume that reflects the students experience through internship and training and that will stand out to employers.

Job Search Assistance: You will get access to our recruiting agency network (Aerotek, TEKsystems, Actalent, Grow with Google Employers, & MORE) AND a recruiter will help you apply for these opportunities!

Interview Preparation: An IT expert in your field of study will provide mock interviews and interview coaching to prepare students for job opportunities.

Career Coaching: A recruiter will mentor you throughout the program. The recruiter will discuss the IT job market and valuable tips.

 

In-Person & Virtual Training Schedule

We have combined the best of both worlds, our programs are both in-person and virtual at the same time. The instructor will be in-person and we will broadcast the class virtually so remote students can join.

Starts: June 25 – September 17

Days/TimeSundays: 1pm-3:30pm

Wednesdays: 7pm-9:30pm

FREE or Low Cost Training

As a non-profit with the mission of making IT job opportunities accessible to everyone, ImpactTek hands-on data analytics training with job placement is heavily discounted at 80% OFF or is FREE for qualified students!

Call 571-358-8565 to find out if you qualify for the FREE training!

  • AWS Cloud Practitioner
  • Statistics Fundamentals
  • Python: Jupyter Notebook/JupyterLab
  • Data Analytics Fundamentals
  • AWS Machine Learning
  • Machine Learning Pipeline: AWS Sagemaker

 

Our Partners

Our Partners

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Meet Your Instructor

Instructor Anwar

Data Analytics

Instructor Anwar has 37+ years of IT experience and an MBA in Management Information Systems from the University of Houston.

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