In the era of 21st-century artificial intelligence, machine learning and data science became the most demanding and highest paying skills. After the covid-19 pandemic situation, the working style of the corporate sectors and the business had completely changed, now most of the business deals are made on the basis of data analysis, or when it comes to making the businesses automation the people hire a machine learning engineer.
Hence it becomes really important for those who work in the corporate sector or a student pursuing a degree to get a job should update himself with these skills.
So, I listed you Top 5 machine learning courses from one of the leading organisations with completion certificates at free of cost.
1. Machine learning in the cloud with AWS batch
About
This course describes how to run and accelerate your machine learning applications in the cloud using AWS batch. AWS Batch is a fully managed service that allows you to easily and efficiently run batch computing jobs on AWS.
Duration of the course is 20 min.
Course objectives
- Describes the main components of AWS batch and how they function.
- Identify various batch processing dependency models.
- Describes the steps in a typical batch processing workflow.
Intended audience
- Developers, scientists and engineers who need to run batch computing jobs.
- Solution architect who is designing a batch computing workflow.
2. Google Cloud Platform business professional Accreditation
About
This learning path is for business professionals interested in learning about the basics of cloud and how it's affecting the future of work.
There are four courses in the learning path.
You'll need to complete all course videos, modules, assessments and receive a minimum score of 80% on each assessment to receive credit.
3. Machine learning with python by cognitive class
About
Cognitive Class is an IBM led initiative to democratize data knowledge and skills.
This course dives into the basics of machine learning using python. You'll learn about supervised vs unsupervised learning looking into how statistical modelling relates to machine learning, and do a comparison of each.
Explore many algorithms and models
- Popular algorithms- classification, regression, clustering and dimensional reduction.
- Popular models- Train/Test Split, Root mean square error and random forest.
4. Intro to machine learning by Kaggle
About
Kaggle is the world's largest data science community with powerful tools and resources to help you achieve your data science goals.
Kaggle pares down complex topics to their key practical components, so you gain usable skills in few hours.
The courses are free and you can earn certificates.
5. Machine learning Onramp by Mathworks
About
Mathworks is the leading developer of mathematical computing software for engineers and scientists.
This free two-hour tutorial provides an interactive introduction to practical machine learning methods for classification problems.