Tasmania

Machine Learning Engineer courses in Tasmania

Browse courses recommended for aspiring machine learning engineer in Tasmania TAS.

Courses for beginners

There is 1 course available in Tasmania Tasmania for beginner learners with no prior experience or qualifications.

Data Analytics with Python: Elevate

Online
6 months
Unavailable
  • There are no mandated entry requirements.
Additional requirements may apply.
  • There are no mandated entry requirements.
Additional requirements may apply.
*Showing course fees for all providers. Some providers may not be available in your area.

Courses for experienced learners

There are 4 courses available in Tasmania Tasmania for experienced learners with prior experience or qualifications.

Master of Data Science

Online
18 - 24 months
$44,400 - $53,100
  • There are no mandated entry requirements.
Additional requirements may apply.

Master of Information Technology (Data Science)

Online
18 months
Unavailable
  • There are no mandated entry requirements.
Additional requirements may apply.
  • There are no mandated entry requirements.
Additional requirements may apply.

Bachelor of Computer Science (Artificial Intelligence)

On Campus, Online
36 months
$26,937
  • There are no mandated entry requirements.
Additional requirements may apply.
  • There are no mandated entry requirements.
Additional requirements may apply.

Bachelor of Computer Science (Data Science)

On Campus, Online
36 months
$26,937
  • There are no mandated entry requirements.
Additional requirements may apply.
  • There are no mandated entry requirements.
Additional requirements may apply.
*Showing course fees for all providers. Some providers may not be available in your area.

Key questions

Related occupations

Explore related occupations in the machine learning engineer sector.

More about machine learning engineer courses in Tasmania

For those aspiring to build a career in the technology sector, the Machine Learning Engineer courses in Tasmania offer an excellent pathway. With the rapid advancement of technology, including artificial intelligence and data science, having a foundation in machine learning has become essential. Whether you are looking to start your journey or advance your existing skills, there are reputable training providers ready to equip you with the necessary knowledge and experience.

Beginners can consider enrolling in the popular Data Analytics with Python course, designed for those with no prior qualifications. This course provides a solid grounding in data analytics, essential for a successful career as a Machine Learning Engineer. As Tasmania is home to a growing tech community, engaging in such foundational learning will open doors to numerous opportunities in the field.

For experienced learners, there are several advanced options available. Completing a Master of Information Technology (Data Science) or a Bachelor of Computer Science (Data Science) can significantly enhance your career prospects. Furthermore, a Bachelor of Computer Science (Artificial Intelligence) will prepare you for the cutting-edge areas of the industry, while a Master of Data Science can deep dive into complex data manipulation and machine learning algorithms.

Considering the diverse job roles linked to machine learning, such as Data Scientist or Big Data Engineer, enrolling in these courses can significantly enhance your employability. It's not just about becoming a Machine Learning Engineer; the skills learned can overlap with roles such as Data Analyst and Cloud Developer, making you a versatile asset in the tech landscape.

In addition to formal education, linking your skills to the broader categories of Information Technology and Science is crucial for career development. With the strong demand for machine learning expertise in Tasmania and beyond, now is an excellent time to explore the range of Data Analytics and Data Sciences courses available. Embarking on a journey in machine learning could lead you to exciting roles like Devops Engineer or Geospatial Scientist, making a tangible impact in the industry.

Further reading

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