Coursera

Advancing Your Career in AI and Machine Learning Engineering

Grow your skills with Coursera Plus for $239/year (usually $399). Save now.

Coursera

Advancing Your Career in AI and Machine Learning Engineering

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 hour to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

1 hour to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Identify career paths and responsibilities for AI and machine learning engineers

  • Translate machine learning projects into portfolio-ready artifacts

  • Prepare resumes that highlight technical contributions and AI engineering skills

  • Practice communicating machine learning solutions in technical interview scenarios

Details to know

Shareable certificate

Add to your LinkedIn profile

Recently updated!

March 2026

Assessments

1 assignment

Taught in English

See how employees at top companies are mastering in-demand skills

 logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your Leadership and Management expertise

This course is part of the Transformers Unleashed: Master the Architecture of Modern AI Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate from Coursera

There is 1 module in this course

This course helps you translate the technical skills developed in the Professional Certificate into real-world career advancement opportunities in AI and machine learning engineering. You will explore how professionals apply machine learning and transformer-based systems in industry and understand the responsibilities associated with skilled professional roles. The course provides insights into the day-to-day work of machine learning engineers and outlines common career paths for professionals specializing in AI systems, MLOps, and applied machine learning. You will learn how to present your projects as portfolio-ready artifacts, highlight technical contributions on your resume, and prepare for technical interviews in AI engineering roles. By the end of this course, you will have practical guidance for showcasing your technical work, positioning your skills for career progression, and navigating opportunities in the rapidly evolving field of artificial intelligence.

What's included

1 video1 reading1 assignment

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Professionals from the Industry
290 Courses 43,476 learners

Offered by

Coursera

Why people choose Coursera for their career

Felipe M.

Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Coursera Plus

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions