A Candid Review of DeepLearning.ai's Short Courses
I approached DeepLearning.ai's courses with high expectations, drawn by Andrew Ng's stellar background as a Stanford Professor and now Amazon Board member. His contributions to AI education through Coursera's pioneering ML course were groundbreaking.
However, most short courses on DeepLearning.ai function more as product showcases than educational resources. For instance:
* "Building Agentic RAG with LlamaIndex” → LlamaIndex walkthrough
* "Serverless Agentic Workflows" → Amazon Bedrock tutorial
* "Building Multimodal Search" → Weaviate implementation guide
* “Evaluating and Debugging Generative AI Models” → How to use Weights & Biases
Yes, these courses are free. But they seem designed to funnel developers toward specific commercial APIs rather than build foundational knowledge.
Know what you're signing up for: hands-on product experience, not deep technical education.
hashtag#AI hashtag#MachineLearning hashtag#TechEducation hashtag#DeepLearning
However, most short courses on DeepLearning.ai function more as product showcases than educational resources. For instance:
* "Building Agentic RAG with LlamaIndex” → LlamaIndex walkthrough * "Serverless Agentic Workflows" → Amazon Bedrock tutorial * "Building Multimodal Search" → Weaviate implementation guide * “Evaluating and Debugging Generative AI Models” → How to use Weights & Biases
Yes, these courses are free. But they seem designed to funnel developers toward specific commercial APIs rather than build foundational knowledge. Know what you're signing up for: hands-on product experience, not deep technical education. hashtag#AI hashtag#MachineLearning hashtag#TechEducation hashtag#DeepLearning
Thoughts?