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Strengths
- Authoritative courses from top universities and companies
- Audit all video content for free
- The certificate is widely recognized by enterprises
- Structured learning paths (specialized courses)
- Have homework and project practice
Best for
- Systematically learn basic knowledge of AI/ML
- Get a recognized AI certificate
- Career transition into AI
- Learn specific AI technologies (e.g. TensorFlow, PyTorch)
- Supplementary AI course study for college students
Recommended course paths
There are tons of AI courses on Coursera, but here are the best ones to take.
Scenario
AI Beginner Path
Prompt example
Recommended learning order: Step One: AI For Everyone (Andrew Ng, free auditor) - Introduction to AI for non-technical people - about 6 hours Step 2: Machine Learning Specialization (Andrew Ng + DeepLearning.AI) - Supervised learning, unsupervised learning, reinforcement learning - 3 courses, approximately 3 months - Free Audition/Certificate $49/month Step Three: Deep Learning Specialization (Andrew Ng) - Neural network, CNN, RNN, Transformer - 5 courses, approximately 5 months
Output / what to expect
After completing this path,
Have a solid theoretical foundation in ML/DL,
Able to read AI papers and conduct research independently.
Tips
Select "Audit" to study all videos for free, and you only need to pay if you require a certificate.
Scenario
LLM application development path
Prompt example
Courses focusing on LLM application development: 1. Generative AI with Large Language Models - AWS + DeepLearning.AI collaboration - LLM principles and application development - about 3 weeks 2. Natural Language Processing Specialization - Powered by DeepLearning.AI - NLP from basics to Transformer - 4 courses 3. MLOps Specialization - Model deployment and production - 4 courses
Output / what to expect
After completing this path,
LLM applications can be developed and deployed independently,
Possess the core skills of an AI engineer.
Tips
If time is limited, give priority to learning "Generative AI with LLMs", which is the most directly relevant.