I absolutely love the courses here, but does anyone else ever feel a bit lost trying to figure out what to take next?
With so many amazing specializations, I think it would be incredibly helpful if DeepLearning.ai added overarching “Learning Paths” or career roadmaps. Imagine having a guided track for “Generative AI Specialist” or “Machine Learning Engineer (Beginner to Advanced)” that tells you exactly which courses to take in what order.
I just submitted a support ticket requesting this feature to help take the guesswork out of upskilling. If you agree this would be helpful, let me know in the comments or upvote this post so the team sees it!
What kind of learning paths would you all want to see?
A rigid structure doesn’t suit everyone. For instance, if you aren’t in healthcare or clinical research, AI for Medicine roadmap won’t be relevant to you. Instead, leverage an LLM: feed it your unique expertise and your target career goal. Then, provide a list of Deep Learning courses and ask it to draft a 6- or 12-month custom plan. Once you have a draft, run a ‘gap analysis’ using a second LLM to refine it. Finally, be realistic about your bandwidth—don’t bite off more than you can chew by overloading your schedule.
Do you familiar with AI for clinical study and how to make the personal caree development plan for the CRA/PM for the clinical research? Thank you very much!!
First of all, thank you for building such an incredible ecosystem! As a developer transitioning into AI, your courses have been absolute game-changers for my professional growth.
When I first finished the Build with Andrew courses, I found myself wondering, “What should I learn next to build real-world applications?” To help other professionals navigate this transition smoothly, I wanted to share a quick feature idea:
Role-Based Dashboards: It would be incredibly helpful to see course categories tailored to specific professions (e.g., Full-Stack Developer, Product Manager, Data Analyst) right on the user dashboard.
Sequential Difficulty Tags: Sorting these categories based on a clear learning curve would make the curriculum sequence highly intuitive.
Adaptive Learning Paths: By utilizing the data collected during onboarding or tracking scores from project submissions/certifications, the platform could dynamically recommend the exact next course a user needs.
Implementing an #AdaptiveLearning model like this would make the student journey incredibly seamless. Keep up the phenomenal work—you are truly shaping the future of AI education!