Data scientist and machine learning engineer are both relatively new career options in the tech industry. When it comes to the difference between the roles and responsibilities, there has been much confusion. Which career pathway is more desirable in the next 10 years? What are the requirements for each role, and how to transition from DS to MLE?
To answer these questions, we are pleased to invite you to join us on June 17 for our live virtual event. This event is co-hosted by DeepLearning.AI and FourthBrain. FourthBrain creates accessible and flexible pathways to AI careers by training candidates with valuable practical and interpersonal skills.
The event will start off with a panel discussion and follow with a Q&A session. We’ll be using Slido for Q&A. Please note that only the people who sign up for the Slido ticket will have access to Slido to post and upvote questions.
We will send you the livestream link 3 days before the event.
Can't attend the live YouTube event? Don’t worry. Register now to get the recorded session.
FourthBrain’s mission is to bring more people into the growing fields of Machine Learning and Artificial Intelligence. We are increasing the talent pool and enabling more people to make an impact in this field with our flexible, accessible education programs that create pathways into ML and AI careers.
We offer 2 Programs:
1. MLOps and Systems Program
Our 12 week program will help get you prepared with the MLOps tools, skills, and best practices for deploying, evaluating, monitoring and operating production ML systems.
With FourthBrain’s live, online, instructor-led programs in Machine Learning, you can join a career path that has been ranked as one of the best in the world. Our programs are designed with a flexible and practical curriculum, paired with hands-on projects that apply the concepts you’ve learned to make you career ready. FourthBrain is backed by the AI Fund, which was founded by Dr. Andrew Ng in 2017.
2. Machine Learning Engineer Program
Our 16 week program will prepare you with the technical skills to be a machine learning engineer including web analytics, deep learning, computer vision and time-series analysis.
An event focused on comparing Data Scientists vs. Machine Learning Engineers, including career progressions and career opportunities.Register Now