Advanced SML-501 ⏱ 12 weeks 📚 16 topics

Advanced Deep Learning Certification

Master cutting-edge deep learning architectures including transformers, GANs, and modern NLP techniques

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Questions

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Pass Score

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Time Limit

What You'll Demonstrate

  • Master transformer architectures and attention mechanisms
  • Build advanced NLP applications with state-of-the-art models
  • Implement and train generative adversarial networks
  • Apply transfer learning to complex real-world problems
  • Design and deploy production-ready AI systems

Topics Covered by This Exam

1

Deep Neural Networks

120 minutes

lesson
2

Recurrent Neural Networks

180 minutes

lesson
3

Introduction to Transformers

90 minutes

lesson
4

Transformers and Attention Mechanisms

150 minutes

lesson
5

Self-Attention and Multi-Head Attention

120 minutes

lesson
6

Positional Embeddings

90 minutes

lesson
7

Transformer Encoder and Decoder

120 minutes

lesson
8

Transformer Applications

90 minutes

lesson
9

Transformer Architecture Deep Dive

180 minutes

lesson
10

Introduction to Natural Language Processing

60 minutes

lesson
11

Text Preprocessing Techniques

90 minutes

lesson
12

Generative Adversarial Networks

210 minutes

lesson
13

Transfer Learning

150 minutes

lesson
14

Underfitting and Overfitting in Deep Learning

90 minutes

lesson
15

NLP Project

360 minutes

project
16

Capstone Project

480 minutes

project

Adaptive Exam Format

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Progressive Difficulty

Questions advance from Easy → Medium → Hard as you proceed through the exam

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Single & Multi Select

Mix of single-answer and multi-answer questions to assess depth of knowledge

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Randomised Bank

Questions are drawn randomly from a larger question bank — no two exams are the same

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Badge & Certificate

Digital badge and printable certificate issued immediately upon passing