certbrain-system

Governance Processes and Frameworks

Data Governance Strategies

AWS Governance and Compliance Services

Detecting Hallucinations and Grounding

Security and Privacy Risks in AI Systems

Secure Data Engineering

Data Lineage and Source Citation

Securing AI Agents

Securing AI Workloads on AWS

Human-Centered Design for Explainable AI

Interpretability vs Performance Tradeoffs

Tools for Transparency and Explainability

Transparent vs Opaque Models

Detecting and Monitoring Bias

Bias and Variance

Characteristics of Good Datasets

Legal Risks of Generative AI

Responsible Model Selection

Amazon Bedrock Guardrails

Core Dimensions of Responsible AI

Measuring Business Alignment

Evaluating RAG, Agents and Workflows

Foundation Model Evaluation Metrics

Ways to Evaluate a Foundation Model

Preparing Data for Fine-Tuning

Fine-Tuning Methods

How Foundation Models Are Trained

Amazon Bedrock Prompt Management

Prompt Attacks and Risks

Prompt Engineering Best Practices

Prompting Techniques

Anatomy of a Prompt

AI Agents in Business

Customization Cost Tradeoffs

Vector Databases on AWS

Retrieval Augmented Generation

Inference Parameters

Choosing a Foundation Model

Cost Tradeoffs of AWS GenAI Services

AWS Infrastructure Benefits for GenAI

Why Build GenAI on AWS

AWS Services for Building GenAI Apps

Measuring Generative AI Business Value

Choosing a Generative AI Model

Limitations of Generative AI

Advantages of Generative AI

Agentic AI Concepts

Context Engineering

Token-Based Pricing

The Foundation Model Lifecycle

Generative AI Use Cases

Transformers, Foundation Models and Diffusion Models

Tokens, Chunking, Embeddings and Vectors

Model and Business Metrics

MLOps Fundamentals

AWS Services Across the Pipeline

Running Models in Production

Where Models Come From

The AI and ML Pipeline

Traditional ML vs Foundation Models

AWS Managed AI Services

Real-World AI Applications

Regression, Classification and Clustering

When Not to Use AI

Where AI Adds Value

Supervised, Unsupervised and Reinforcement Learning

Types of Data in AI

Types of Inference

Generative AI, LLMs and Agentic AI

What AI, ML and Deep Learning Are