BBuddyAI Learn
AI & Data · Beginner → Expert

🧠 AI and Machine Learning Engineering

Learn machine learning foundations, data preparation, evaluation, classical models, neural networks, LLM application patterns, responsible AI, deployment, and monitoring.

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Course roadmap

Pass each module exam to unlock the next module.

Module 1 · Beginner

Machine Learning Foundations and Problem Framing

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Module 2 · Beginner

Data Preparation, Features and Leakage

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Module 3 · Beginner

Regression and Classification

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Module 4 · Intermediate

Trees, Ensembles and Model Selection

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Module 5 · Intermediate

Metrics, Validation and Error Analysis

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Module 6 · Intermediate

Clustering and Unsupervised Learning

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Module 7 · Advanced

Neural Network Fundamentals

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Module 8 · Advanced

NLP and Embeddings

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Module 9 · Advanced

LLM Applications, Prompting and Retrieval Concepts

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Module 10 · Expert

Responsible AI, Privacy and Safety

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Module 11 · Expert

Model Serving, Monitoring and Drift

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Module 12 · Expert

Expert Capstone: End-to-End ML System

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Certification gate

Final course exam

Pass mark: 80%. Time limit: 360 minutes. All module exams must be passed first.

Locked until modules are passed