Machine Learning — 10 accelerated courses to kickstart your career
Bob Armstrong
09 May, 2023
Closely related to Data Science and Artificial Intelligence (AI), Machine Learning (ML) has the potential to transform many industries. From data analysis to fraud detection, predictive maintenance, and scientific research, its applications seem endless.
If you'd like to take your IT career to the next level or reskill from scratch, here are 10 certification courses to give you a head start in rapidly-evolving industry.
- Amazon Web Services (AWS) — Certified Machine Learning: Specialty (3 days)
- BCS — Foundation Award - Machine Learning (2 days)
- Databricks — Apache Spark for Machine Learning and Data Science (2 days)
- Google — Cloud Professional Machine Learning Engineer (2 days)
- Google — Advanced Machine Learning with TensorFlow on Google Cloud Platform (2 days)
- Google — Machine Learning on Google Cloud Platform (2 days)
- IBM — Data Visualisation and Machine Learning with Python (2 days)
- IBM — Machine Learning Rapid Prototyping with IBM Watson Studio (2 days)
- Microsoft — Implementing a Machine Learning Solution with Microsoft Azure Databricks (2 days)
- SAS — Certified AI and Machine Learning Professional (2 days)
Why is Machine Learning so important?
Its many applications can streamline businesses everywhere. Here are just some of them:
- Data Analysis: Machine Learning algorithms can be used to analyse large and complex data sets, identifying patterns and making predictions that are difficult or impossible for humans to identify.
- Automation: ML can automate tasks and processes, improving efficiency and reducing the need for human intervention. This can lead to cost savings and increased productivity.
- Personalization: Machine Learning can be used to personalize products and services for individual users, improving the user experience and increasing customer satisfaction.
- Predictive Maintenance: ML can be used to predict when machines and equipment are likely to fail, allowing for preventative maintenance to be carried out before costly breakdowns occur.
- Fraud Detection: Machine Learning can be used to identify fraudulent activities and transactions, helping to protect businesses and individuals from financial loss.
- Medical Diagnosis: ML can be used to analyse medical data, helping to identify potential health risks and diagnose medical conditions.
- Scientific Research: Machine Learning can be used to analyse scientific data, helping to identify patterns and make predictions that can lead to new discoveries and breakthroughs.