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Pathway to Senior for Early ML & Data Professionals
3 Weeks
·Cohort-based Course
Master key skills & requirements of Senior MLE / DS. Learn to design & lead Senior-level projects with proven strategies & personal feedback
Pathway to Senior for Early ML & Data Professionals
3 Weeks
·Cohort-based Course
Master key skills & requirements of Senior MLE / DS. Learn to design & lead Senior-level projects with proven strategies & personal feedback
Currently at
Course overview
Reach the Senior level as an ML practitioner
Course content:
• How to identify, and plug, the skills gaps preventing you from reaching Senior-level
• How to get and lead Senior-level projects effectively
• How to become an ML expert in and out of your team
• How to get your manager’s support to reach Senior-level
• How to scale yourself and multiply the outcomes of your team
• How to stay up to date and competitive in the fast moving ML/AI field
Bonus: How to handle the current job market downturn
Course materials:
Equip yourself with frameworks, templates, and real-world, tested and proven strategies that have helped countless ML practitioners reach the senior level.
• Real world case studies of Senior-level promotions: what worked and what didn't
• Example ML career ladder requirements from a diverse set of companies
• Detailed scripts and email templates when asking for a Senior-level promotion
• Design document templates
• 1:1 template, growth plan template, brag doc template, performance review template
Bonus: Build your own Pathway to Senior MLE/DS plan to follow after the course
Course format
• Highly interactive presentations and demos
• Live feedback on your projects, skill strengths and gaps (for attendees who volunteer)
• Multiple live Q&A sessions for personalized answers to your situation
• Templates and plans for you to use after the course
One of my favorite benefits of running a live course (multiple runs of my highly rated O'Reilly Machine Learning Interviews course) is providing personalized feedback.
General information online is helpful, but they don't know what situation you are in, your background and experiences. I want to make sure this course helps you get action points you won't get anywhere else tailored to your specific situation.
Who is this course for
01
You're a mid level machine learning engineer or data scientist who wants a step-by-step walkthrough of the skills you need to get to Senior.
02
You're a senior MLE/DS and want to learn if you're doing everything you can to be effective at your role and plug any gaps.
03
You're a junior MLE/DS and want to plan ahead for the future and build your roadmap to senior MLE/DS.
What you’ll get out of this course
Uncover and plug skills gaps preventing you from reaching senior level
Are you shipping Senior-level code? Does your day to day consist more of Junior-level tasks? This course will help you identify the answers and how to overcome them.
Get and lead Senior-level projects effectively
In many organizations, promotions rely on you performing at the next level already. If you're not placed on projects that demonstrate you can succeed at Senior-level, promotions will be a challenge.
We'll walk through templates to make your case, and design docs templates.
Become an ML expert in and out of your team
It's important to not only be stuck being an expert in your team; in many org's requirements for Senior, you have to be known and trusted by teams outside your own. How do you gain that influence and trust? This course will walk through these challenges and how to overcome them.
Get your manager's support to reach Senior-level
Oftentimes, promotions aren't just handed to you; you'll need to discuss and present your accomplishments to persuade your manager. This section walks through strategies and Performance review templates, brag doc templates and promotion conversations.
Scale yourself and multiply the outcomes of your team
As you grow in your career, it's not about only the ML you ship (1x to your time), but about growing the team around you (Nx, the N being the number of teammates you impact). Learn how to run 1:1s with your Junior teammates and help them grow.
Stay up to date and competitive in the fast moving ML/AI field
A unique challenge of career development in the ML/AI field is the sheer amount of new information. What new tools, frameworks, and models should you be paying attention to? This section teaches you how to cut through the noise, follow the money and impact, and not get distracted
This course includes
3 interactive live sessions
Lifetime access to course materials
14 in-depth lessons
Direct access to instructor
Projects to apply learnings
Guided feedback & reflection
Private community of peers
Course certificate upon completion
Maven Satisfaction Guarantee
This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.
Pathway to Senior for Early ML & Data Professionals
Course syllabus
Week 1
Module 1 - ML/DS Career Ladders
Module 2 - Get and lead Senior-level projects effectively
Week 2
Module 3 - Become and ML expert in and out of your team
Module 4 - Get your manager's support to reach Senior-level
Week 3
Module 5 - Scale yourself and become a force multiplier
Module 6 - Stay up to date and competitive in the ML/AI field
Meet your instructor
Susan Shu Chang
Susan is a Principal Data Scientist at Elastic (of Elasticsearch), with previous ML experience in fintech, telecommunications, and social platforms. She reached Senior Data Scientist in 2 years, and has been Principal Data Scientist at 2 companies. Susan is the author of Machine Learning Interviews, published by O’Reilly; she runs a recurring O’Reilly bootcamp/course on the same topic.
Her writing and talks has helped hundreds of ML jobseekers enter the field. Susan is an international speaker, with talks at 6 PyCons worldwide and keynotes at Data Day Texas, PyCon DE & PyData Berlin, and O’Reilly’s AI Superstream. She writes about machine learning career growth in her newsletter, susanshu.substack.com.
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Pathway to Senior for Early ML & Data Professionals
Course schedule
Weekly for 3 weeks; 3 hours per session
Weekly sessions
2.5 hours per week
Weekly Q&A (bonus)
30 minutes a week
Personalized feedback for your educational and professional background, company size, industry, and more.
Learning is better with cohorts
Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you
Frequently Asked Questions
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