| Google Professional Machine Learning Engineer |
Google Cloud |
Focuses on designing and building ML models using Google Cloud technologies. |
Familiarity with machine learning concepts and Google Cloud Platform. |
| AWS Certified Machine Learning – Specialty |
Amazon Web Services (AWS) |
Validates expertise in building, training, and deploying ML models on AWS. |
Experience with AWS services and strong understanding of ML concepts. |
| Microsoft Certified: Azure Data Scientist |
Microsoft |
Covers using Azure for model training, evaluation, and deployment. |
Knowledge of data science and machine learning principles. |
| IBM AI Engineering Professional Certificate |
IBM (via Coursera) |
Comprehensive coverage of the AI and ML pipeline, including deep learning. |
Familiarity with Python and data science fundamentals. |
| TensorFlow Developer Certificate |
TensorFlow (Google) |
Focuses on building and training neural network models using TensorFlow. |
Basic understanding of machine learning and proficiency in Python. |
| Certified Machine Learning Specialist (CMLS) |
Data Science Council of America |
Validates knowledge of ML, big data analytics, and data science best practices. |
Experience in data science and machine learning concepts. |
| Professional Certificate in ML & AI |
edX (Harvard/MIT) |
Covers fundamental and advanced techniques in ML and AI applications. |
Basic programming knowledge and familiarity with data analysis. |
| Stanford University’s Machine Learning Course |
Coursera (Stanford University) |
Foundational course taught by Andrew Ng, covering ML principles. |
Basic understanding of programming and linear algebra. |
| Data Science and Machine Learning Bootcamp |
Various (e.g., Udacity, GA) |
Intensive programs covering a wide range of ML topics and practical applications. |
Varies by program; typically requires some programming and statistics knowledge. |
| Google Cloud Professional Data Engineer |
Google Cloud |
Focuses on data processing systems and ML models on Google Cloud. |
Familiarity with Google Cloud services and data engineering concepts. |