ML Engineer

Original price was: $885.Current price is: $707.

  • Start Date of the career:  Call with us.
  • Program Duration:  41 weeks of training (~1 year)
  • Online Session Days:  Saturday & Wednesday
  • Withdrawal and Full Refund: 100% refund available within the first two weeks after registration.
  • Lifetime access to course videos and the option for free retraining in hybrid format
  • Language: Persian

Master the Art of Deploying ML in the Real World

The ML Engineering Career is designed to train professionals who can deploy, optimize, and manage machine learning and AI models in real-world industrial and operational environments. With a strong focus on cutting-edge technologies and actual industry needs, this program transforms you into a skilled, job-ready ML engineer.

Why Choose ML Engineering?

Unlock Opportunities Across Industries

AI Engineers play a pivotal role in shaping the future of various sectors:

  • Tech Companies
    Design and implement intelligent systems to enhance software products.

  • Manufacturing
    Automate production monitoring and optimize manufacturing processes using AI-driven models.

  • Finance
    Deploy predictive algorithms and risk management tools to power smarter decision-making.

  • Healthcare
    Use AI models to assist in disease diagnosis and streamline treatment services.

What You Will Learn

Main Learning Objectives

  • Hands-on experience with deploying and operationalizing ML models

  • Automating, monitoring, and managing the ML system lifecycle

Who Is This Career For?

Designed For:

  • Software Engineers & Developers
    Ready to transition into building and deploying intelligent AI systems.

  • Data Scientists
    Looking to scale their models into operational and production-ready solutions.

  • Math & Engineering Students
    With a background in mathematics and Python, aiming to enter the professional world of AI engineering.

 

 

Course Type

Online

Courses

Software Skills for AI Engineers
Mathematics for Artificial Intelligence
Advanced Machine Learning
Advanced Deep Learning
Machine Learning Operations (MLOps)
Software Development Life Cycle (SDLC)