BBuddyAI Learn
AI & Machine Learning · Beginner → Expert

🧠 Deep Learning Engineering

Build and train neural networks with modern optimization, CNNs, transformers, sequence models, regularization, evaluation, acceleration and deployment.

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Course roadmap

Pass each module exam to unlock the next module.

Module 1 · Beginner

Neural Network Foundations and Automatic Differentiation

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Module 2 · Beginner

Tensors, Batching and Data Pipelines

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Module 3 · Beginner

Loss Functions, Backpropagation and Optimization

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Module 4 · Beginner

Initialization, Normalization and Regularization

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Module 5 · Intermediate

Convolutional Neural Networks and Vision

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Module 6 · Intermediate

Sequence Models, RNNs and LSTMs

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Module 7 · Intermediate

Attention and Transformer Architecture

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Module 8 · Intermediate

Embeddings and Representation Learning

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Module 9 · Advanced

Transfer Learning and Fine-Tuning

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Module 10 · Advanced

Training Stability, Debugging and Experiment Tracking

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Module 11 · Advanced

Evaluation, Calibration and Error Analysis

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Module 12 · Advanced

GPU Acceleration, Mixed Precision and Efficiency

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Module 13 · Expert

Model Compression, Quantization and Distillation

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Module 14 · Expert

Serving, Inference and Deployment

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Module 15 · Expert

Monitoring, Drift and Responsible Deep Learning

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Module 16 · Expert

Expert Capstone: Production Deep Learning 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