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18. Practice & Resources

Practice & Resources

Interview Questions

Explain the difference between supervised, unsupervised, and reinforcement learning.
What is the bias-variance tradeoff? How do you manage it?
How does a transformer model work? Explain the attention mechanism.
What are the ethical considerations when deploying AI in healthcare?
Compare BFS, DFS, and A* search algorithms. When would you use each?
What is overfitting? List three techniques to prevent it.
Explain the PEAS framework with an example.
How would you build a spam email classifier from scratch?
What is the difference between L1 and L2 regularization?
Describe a real-world AI system that failed. What went wrong?

Study Plan (12 Weeks)

Weeks 1-2: AI fundamentals, history, types, terminology
Weeks 3-4: Python for AI (NumPy, Pandas, scikit-learn)
Weeks 5-6: Machine Learning (regression, classification, clustering)
Weeks 7-8: Neural Networks and Deep Learning (TensorFlow/PyTorch)
Weeks 9-10: NLP, Computer Vision, and Reinforcement Learning
Weeks 11-12: AI ethics, deployment, portfolio projects

Project Ideas

Beginner: Digit recognizer (MNIST with neural network)
Intermediate: Sentiment analysis web app using Flask + Hugging Face
Advanced: Custom RAG chatbot with document retrieval
Expert: End-to-end MLOps pipeline with model monitoring

Bootcamp Recommendations

Fast.ai — Practical Deep Learning for Coders (free)
DeepLearning.AI — Coursera specializations by Andrew Ng
Stanford CS229 / CS231n — Free lecture materials online

Certification Path

Google TensorFlow Developer Certificate
AWS Certified Machine Learning — Specialty
Azure AI Engineer Associate
DeepLearning.AI TensorFlow Developer

Tip: The best way to learn AI is to build projects. Start small, iterate, and gradually take on more complex problems. Join Kaggle competitions to practice on real datasets.

Final Challenge: Build an end-to-end ML project: choose a dataset, preprocess it, train at least 3 models, compare performance, deploy a simple web API, and write a report on findings. This will serve as your portfolio piece!