AWS AI Practitioner Study Notes

Study the official exam domains. Each lesson teaches the concept from the vendor exam guide and first-party docs.

Free

Course Content

1.1 AI, ML, and Deep Learning

1.2 Learning Types

1.3 Data Types and Modalities

1.4 Training and Inference

1.5 Practical AI Applications

1.6 When AI Fits

1.7 AWS Managed AI Services

1.8 ML Pipeline

1.9 Models, Production, and Metrics

2.1 Tokens, Embeddings, and Vectors

2.2 Transformers and Foundation Models

2.3 Prompt Engineering

2.4 Pre-training, Fine-tuning, and RAG

2.5 Multimodal and Diffusion Models

2.6 Capabilities and Limitations

2.7 Hallucinations and Nondeterminism

2.8 Amazon Bedrock

2.9 Amazon Q and PartyRock

2.10 SageMaker JumpStart and Generative Cost Tradeoffs

Himanshu Sangshetti

Instructor

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