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IT: Artificial Intelligence & Data
Modeling, MLOps, and Responsible AI
Curriculum
1 Section
14 Lessons
30 hours
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Unit 2 — Modeling, MLOps, and Responsible AI
14
1.1
Model Customization and Evaluation
20 mins
1.2
MLOps
20 mins
1.3
Implementing Responsible AI with AWS Services
20 mins
1.4
AI Security, Governance, and Compliance
20 mins
1.5
Diving Deeper into Terms You Should Know
20 mins
1.6
From Text to Numbers: Tokens, Chunking, and Embeddings
20 mins
1.7
Use Cases Unsuitable for AI and ML Applications
20 mins
1.8
AWS AI Services
20 mins
1.9
The Effect of Inference Parameters on Model Responses
20 mins
1.10
Amazon Bedrock Knowledge Bases
20 mins
1.11
MLOps Pipeline
20 mins
1.12
ML Governance with SageMaker AI
20 mins
1.13
The Relationship Among AI, ML, and Deep Learning
20 mins
1.14
The Transformer Architecture and Foundation Models
20 mins
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