Lesson 2: Services and Implementation

Topics Covered

• Convolutional neural networks
• Sequence models and transformers
• Transfer learning and fine-tuning
• Configuration workflow and hands-on implementation
• Service integration and data flow

Practical Activity

Build or document a guided implementation workflow and verify the expected service interactions.

• Document assumptions, selected services or concepts, and expected outcomes.
• Record validation evidence, risks, and any required corrective action.

Lesson Outcome

Learners can explain and apply the lesson topics within a realistic Deep Learning Specialty scenario.