In the age of AI, Machine Learning (ML) roles are in high demand.
Our ML courses help you develop the skills you need to confidently manage your company's Machine Learning.
What is Machine Learning (ML)?
Machine Learning (ML) is a branch of AI that concerns itself with data and a machine's ability to process it autonomously. In essence, it's the idea that we can give a machine access to our data and it will make smart decisions and find insights into data without being explicitly programmed to do so.
The field of Machine Learning is closely related to Data and Artificial Intelligence (AI).
What will you learn?
Our list of accelerated Machine Learning courses has something for everyone. You have the opportunity to choose from world leaders like AWS, Microsoft, BCS and Cloudera to name a few. You’ll gain key skills such as:
- Using Big Data Applications like Hadoop, NoSQL and Spark
- Using Microsoft’s Azure Machine Learning methods
- Using AWS data analytics services
Our most popular ML courses include:
Microsoft Applied Skills: Build a natural language processing solution with Azure AI Language (AI-3003)
1 day
TensorFlow Developer Certificate
6 days
Intro to TensorFlow for Deep Learning
2 days
Databricks Certified Associate ML Practitioner for Apache Spark 2.4
2 days
Google Cloud Professional Machine Learning (ML) Engineer
2 days
Google Cloud Big Data and Machine Learning
1 day
Microsoft Applied Skills: Train and deploy a machine learning model with Azure Machine Learning (DP-3007)
1 day
AWS Certified Machine Learning: Specialty (MLS-C01)
3 days
Microsoft: Build Operate Machine Learning Solutions Azure Databricks
1 day