What will I get if I subscribe to this Certificate?

When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Advancing Your Career in Production AI

Ends soon! Save on skills that make you shine with 40% off 3 months of Coursera Plus. Save now

Advancing Your Career in Production AI

This course is part of LLM Engineering That Works: Prompting, Tuning, and Retrieval Professional Certificate

Instructor: Professionals from the Industry

Included with

Learn more

1 module

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

1 hour to complete

Flexible schedule

Learn at your own pace

1 module

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

Position yourself for senior AI roles by creating a strategic portfolio and mastering advanced system design and ethics-focused technical interviews.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

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

Learn more about Coursera for Business

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

Build your Leadership and Management expertise

This course is part of the LLM Engineering That Works: Prompting, Tuning, and Retrieval 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 prepares you to leverage your advanced skills in model development, optimization, and AI ethics to pursue senior career opportunities. You will learn how to strategically position yourself for roles such as Senior Machine Learning Engineer, MLOps Engineer, and AI Ethics Specialist by building a portfolio that showcases your end-to-end project experience and preparing for advanced technical interviews focused on system design and responsible AI.

This module bridges the gap between your technical expertise and senior-level career opportunities in production AI. You will explore the landscape of advanced roles, learn how to articulate your experience through a strategic portfolio, and practice the communication skills needed to excel in high-stakes technical interviews. By the end of this module, you will have a clear roadmap and the practical tools to confidently pursue roles like MLOps Lead, AI Architect, and AI Ethics Specialist.

What's included

1 video3 readings2 assignments

1 videoTotal 6 minutes

A Day in the Life of an AI Architect6 minutes

3 readingsTotal 18 minutes

Elevating Your Career: The Essential Skills Beyond Technical Expertise6 minutes
Decoding Senior AI Roles: Responsibilities and Expectations4 minutes
Building Your Path to Leadership: Skills and Certifications8 minutes

2 assignmentsTotal 60 minutes

Core Senior AI Competencies20 minutes
Hands-on Learning: Portfolio Case Study Blueprint40 minutes

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

472 Courses84,390 learners

Offered by

Coursera

Explore more from Leadership and Management

Status: Free Trial
Coursera
Advancing Your Career in AI and Machine Learning Engineering
Course
Status: Free Trial
Saïd Business School, University of Oxford
AI and Production
Course
Status: Free Trial
Coursera
Production AI Model Development and Ethics
Course
Status: Free Trial
Coursera
Portfolio and Industry Readiness for Agentic AI Architects
Course

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."

Frequently asked questions

Yes. The course focuses on turning your technical work into clear narratives and practicing interview responses. Mock prompts and templates help you prepare answers that highlight your decision-making and leadership skills, even if you lack formal interview training.

You will produce at least one polished portfolio case study and a set of structured, interview-ready responses for system-design and responsible-AI prompts. Templates and example feedback are included to make revision straightforward.

The course is estimated at approximately 70 minutes of instruction and guided exercises. Additional time for polishing portfolio materials or practicing mock interviews will vary by learner and goals.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.