“From zero to hero as an LLM Developer…a clear path to build practical applications.” — Luca Tanieli (Software Developer)
EDUCATION
-
Accessible Learning Approach Makes AI Education Incredibly Smooth
By
–
“Well-structured and approachable…makes the learning process incredibly smooth and accessible.” — Dan Duggan (AI Sales Professional)
-
LLM Applications: Decision-Making and Effective Technology Implementation
By
–
“Beyond covering fundamental LLM concepts, the course delves into critical decision-making—understanding when and how to apply these technologies effectively.” — Mario Giraldo (AI Consultant)
-
RAG Pipeline Building and Assessment Course Praised
By
–
“Insightful, practical and very thorough…the course greatly expanded my knowledge of building and assessing RAG pipelines.” — Eoin McGrath (Machine-Learning Engineer)
-

Becoming an LLM Developer: Student Testimonials and Career Path
By
–
Thinking about becoming an LLM Developer? Here’s what our past students say…
-
ML Course Critique: Theory-Heavy Approach and FastAI Framework Bias
By
–
why? I completely disagree. The ML course is a little tangential and too theory-heavy. and FastAI course is too much of an ad for the FastAI framework.
-
Balancing Theory and Practice: 50/50 Split for Learning
By
–
he's right though, doing exercises is good! maybe 50/50 is a good split. the books have good exercises within them as well, but don't require you to write any code iirc
-

Deep Learning Textbooks Outdated: Need New Comprehensive Resources
By
–
crazy to me that the one seminal textbook on Deep Learning was written in 2015. ten years ago. before we invented transformers, pretraining, RLHF, reasoning, diffusion, MOEs… i think AI researchers these days may be too busy to write textbooks. but we need a new one, badly
-
Imposter Syndrome and Rapid Expertise in Problem-Solving
By
–
There is another paragraph about feeling turbocharged imposter syndrome when talking to subject matter experts and then realizing they’ve spent 0.01% of their career on *exactly* your new problem and so you understood it better than they do as of about day four or so.
-
Replace Boltzmann Machines with Transformers in Deep Learning
By
–
you can skip the DL chapter about boltzmann machines. replace it with material on Transformers