Applied Machine Learning and AI Certificate

With the rise and acceleration of AI, machine learning (ML) has become an increasingly critical tool for the development of computer systems with the ability to learn and discover patterns in data. Gaining a foundation in the concepts and practices of ML can set you up to understand new advancements and grow your career in this field.

In this certificate program, you will gain the skills that will enable you to build ML solutions in real-world conditions through an ethical and inclusive lens. You will discover the machine learning lifecycle, explore common machine learning packages, and work with industry-relevant tools to analyze large data sets. By the end of the program, you will have hands-on practice and experience building machine learning workflows and optimizing ML models from scratch to solve problems or achieve goals.

In order to be successful in this program, students must be familiar with the programming language Python.

The courses in this certificate program are required to be completed in the order that they appear.

Courses

CTECH461: Machine Learning Foundations
CTECH462: Managing Data in Machine Learning
CTECH463: Training Common Machine Learning Models
CTECH464: Training Linear Models
CTECH465: Evaluating and Improving Your Model
CTECH466: Improving Performance With Ensemble Methods
CTECH467: Using Machine Learning for Text Analysis

Key Takeways

Understand the machine learning lifecycle and explore common machine learning packages
Perform exploratory analysis to prepare data for machine learning applications
Train and optimize two popular supervised learning algorithms: k-nearest neighbors (KNN) and decision trees (DT)
Discover the mechanics of linear models and implement a common linear model from scratch
Define the model evaluation metrics for specific applications by selecting the appropriate model candidates and hyperparameters for testing
Examine the principle of ensemble models and how to train and tune a model using models as features
Perform NLP sentiment analysis and implement deep learning models
Identify performance issues and find solutions to fix and improve them

What You’ll Earn

Applied Machine Learning and AI Certificate from Cornell Tech
140 Professional Development Hours (14 CEUs)

Who Should Enroll

Data scientists and data analysts
Programmers, developers, and software engineers
Statisticians
Product managers
Entrepreneurs
Working professionals seeking to upskill or career change

Total Investment

3.5 months with 8-10 hours of study per week

How To Enroll

For more information on how to enroll, please visit Applied Machine Learning and AI Certificate.