ML Engineer

Course length

12 Weeks | 120 Hours

ML Engineer

Mentor

Jonatas Piscirilo

As The AI Academy co-founder & CTO, Jonatas has been driving technological innovation and working on several initiatives and projects related to data and artificial intelligence in large enterprises. Over 18 years of experience building teams, changes, and large scale solutions.

About this path

The Machine Learning Engineer applies advanced analytics and software development techniques to create predictive models

 

Syllabus

Week 1
Live session with Mentor
Supervised Learning with Scikit-learn
Unsupervised Learning

Week 2
Live session with Mentor
Linear Classifiers
Tree-based Models

Week 3
Live session with Mentor
Extreme Gradient Boosting with XGBoost
Cluster Analysis

Week 4
Live session with Mentor
Dimensionality Reduction
Preprocessing for Machine Learning

Week 5
Live session with Mentor
Machine Learning for Time Series Data
Feature Engineering

Week 6
Live session with Mentor
Introduction to NLP
Feature Engineering for NLP

Week 7
Live session with Mentor
Model Validation
Introduction to TensorFlow

Week 8
Live session with Mentor
Introduction to Deep Learning
Deep Learning with Keras
Advanced DL with Keras

Week 9
Live session with Mentor
Image Processing
Image Processing with Keras

Week 10
Live session with Mentor
Hyperparameter tuning
Introduction to PySpark

Week 11
Live session with Mentor
Machine Learning with PySpark
Winning a Kaggle Competition

Week 12
Project