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You will become more familiar with the topics of machine learning, artificial intelligence and neural networks
You will learn what ML engineers do, how much they earn in the USA, and how you can become one
You will understand programming languages and learn which ones are used for writing AI and neural networks
You will revisit the school math program needed for working with machine learning
Start Your Path to a High-Demand Career in Machine Learning
A Machine Learning (ML) Engineer is a specialist who develops and applies algorithms and models of machine learning for data analysis and the creation of systems capable of learning and making forecasts or decisions based on this data. They work on creating and improving algorithms trained on data to find patterns, make predictions, classify data, or solve other tasks. * Watch an introductory video on Machine Learning with one of our IT experts.
Why choose Machine Learning?
High Salaries
Career Opportunities and Growth
Remote Work Options
Work-life Balance
High Demand and Job Security
Endless Learning
Why choose Machine Learning?
High Salaries
Career Opportunities and Growth
Remote Work Options
Work-life Balance
High Demand and Job Security
Endless Learning
Free Live Classes Schedule
Join our free live classes to explore the world of Machine Learning. Learn about essential skills, training timelines, and career opportunities.
January 20 6 pm PST / 9 pm EST
Day 1. What is Machine Learning and How Does it Work? A Comprehensive Beginner's Guide
January 21 6 pm PST / 9 pm EST
Day 2. The Power of AI and Machine Learning: Real-World Applications and Future Trends
Free Live Classes Schedule
Join our free live classes to explore the world of Machine Learning. Learn about essential skills, training timelines, and career opportunities.
January 20 6 pm PST / 9 pm EST
Day 1. What is Machine Learning and How Does it Work? A Comprehensive Beginner's Guide
January 21 6 pm PST / 9 pm EST
Day 2. The Power of AI and Machine Learning: Real-World Applications and Future Trends
Register Now
MEET YOUR INSTRUCTORS
Maxim
Maxim is a seasoned expert in computer vision, machine learning, and large language models with a wealth of experience across multiple industries and countries. He has contributed to innovative projects in the automotive sector, advanced agricultural solutions using remote sensing, and cutting-edge AI products as a freelancer for clients in the US and Canada. Maxim is also actively involved in academic research in Canada and has taught programming and machine learning courses, inspiring future tech leaders. With his diverse expertise and practical knowledge, Maxim offers a unique perspective on AI applications and career growth in the tech industry.
Leena did her MS in Mathematical Finance with specialization in Machine Learning from Rutgers University, NJ. She started working as a Machine Learning Engineer with a keen interest in implementing end to end ML pipelines for addressing real time problems and discovering creative solutions! She is actively working in GenAI space with using LLMs for creative solutions for different financial clients. She strongly believes that ML is not restricted to one particular domain and exploring different latest technologies in addressing real life problems. She uses her strong statistical and quantitative analytical skills along with her passion in ML domain to keep improving as per latest research and industry demands!
Save Your Spot! Discover Machine Learning: Live Classes Join us on January 20-21, at 6 pm PST / 9 pm EST
Please read our Privacy Policy and Terms and Сonditions carefully so that you can understand how we collect and use the personal information that you provide to us.
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About BlackScreen
BlackScreen is a Tech Academy in California, USA. Our instructors are practicing programmers who work in top companies in the USA, Canada, and Europe, and share their real-world experience with you. Training at Black Screen covers all stages, from basic knowledge to interview preparation, including assistance with resume writing and job placement.