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AI Engineer Level 3

Microsoft-certified instructors
Private course
1 student / teacher

price svg
price svg
12 sessions
Your track progress
Program description
Machine learning is a subset of Artificial Intelligence. It is also a ground-breaking technology that has powered some of our most important applications in the last few years. Machine Learning powers social media feeds, voice-activated assistants, facial recognition technology, chatbots, and recommendation systems. In this final course, you will learn about several machine learning algorithms, such as linear regression, random forests, and SVMs. You will also learn about important Machine Learning concepts such as overfitting, underfitting, and parameter tuning. Then, you will implement these algorithms using the Python programming language. More importantly, you will gain the knowledge needed to apply these algorithms to various real-life machine learning problems.
Learning outcomes
  • lo en Write python code that implements Machine Learning algorithms such as linear regression, random forests, and SVMs
  • lo en Use the workflow of Machine Learning experts from data collection to deploying models
  • lo en Understand what machine learning is and how it is used in the real world
  • lo en Differentiate between supervised and unsupervised learning
  • lo en Save machine learning models to be used by others
Course fees cover
lo check 12 hours of live online sessions with dedicated Geek Express trainers
lo check Geek Express certification accredited by STEM.org USA
lo check Final project development
lo check Digital portfolio access with automatic attendance and progress reporting
lo check Access to top international coding competitions
Private or semi-private?
Before booking the course, you will need to choose whether you’d like to have private or semi-private sessions. Private courses start as soon as you book, at your preferred time and date. Semi-private classes start immediately as soon as 2 students book the same time-slot for the same course.