FrootAI — AmpliFAI your AI Ecosystem Get Started

FAI Knowledge Modules

Understand the stack. Design with judgment.

Sixteen connected FROOT modules move from model fundamentals to grounded reasoning, agent orchestration, reliable operations, and responsible production. Follow the path or enter where your work demands it.

16

Modules

5

Layers

7

Guides

Choose where to go deeper

Five connected layers

Start with foundations

F · Foundations

4 modules

What are the systems and concepts we are working with?

GenAI Foundations

Tokens, transformers, embeddings, context windows, and the mechanics behind generative AI.

TransformersEmbeddingsTokens

LLM Landscape

Model families, capabilities, tradeoffs, and the decisions that shape model selection.

ModelsSelectionTradeoffs

AI Glossary A–Z

A practical reference for the language shared across AI engineering, product, and operations.

ReferenceTerminologyConcepts

.github Agentic OS

How agents, skills, instructions, prompts, hooks, and workflows form a repository-native operating system.

GitHubCopilotAgentic OS

R · Reasoning

3 modules

How do we make model behavior useful, repeatable, and evidence-aware?

Prompt Engineering

Instructions, context, examples, and output contracts for dependable model behavior.

PromptsContextOutputs

RAG Architecture

Ingestion, chunking, ranking, grounding, citations, and evaluation for retrieval systems.

RetrievalGroundingEvaluation

Deterministic AI

Schemas, constraints, policy gates, and verification where probabilistic output is not enough.

SchemasGuardrailsVerification

O¹ · Orchestration

3 modules

How do models plan, call tools, share context, and complete workflows?

Semantic Kernel

Kernels, plugins, planners, memory, and patterns for composing AI capabilities in applications.

KernelPluginsPlanning

AI Agents Deep Dive

Agent loops, memory, tool use, handoffs, multi-agent patterns, and human control points.

AgentsHandoffsMemory

MCP, Tools & Functions

Connect agents to trusted capabilities through MCP servers, tools, resources, prompts, and functions.

MCPToolsFederation

O² · Operations

3 modules

How do we build, deploy, observe, govern, and improve AI systems?

Microsoft Foundry

Model, agent, evaluation, tracing, and governance capabilities in Microsoft Foundry.

FoundryEvaluationTracing

AI Infrastructure

Compute, storage, networking, identity, observability, scaling, resilience, and cost controls.

CloudReliabilityFinOps

Copilot Ecosystem

Copilots, extensibility models, product integrations, and the surrounding developer ecosystem.

CopilotsExtensionsIntegration

T · Transformation

3 modules

How do we move from a capable prototype to a responsible production system?

Fine-Tuning & MLOps

When and how to adapt models, curate data, evaluate versions, and operate the lifecycle.

Fine-tuningDatasetsMLOps

Responsible AI & Safety

Fairness, reliability, privacy, transparency, safety, and accountability across the lifecycle.

SafetyGovernanceRisk

Production Patterns

Patterns for resilient APIs, asynchronous workloads, evaluation loops, and production readiness.

ArchitectureScaleReadiness

Field guides and references

Architecture Overview

See how the FrootAI system fits together.

API Reference

Look up interfaces, commands, and contracts.

Quick Reference Cards

Keep essential patterns close at hand.

Quiz & Assessment

Check retention across the curriculum.

User Guide

Follow the complete product walkthrough.

Admin Guide

Install, configure, monitor, and troubleshoot.

Contributor Guide

Extend the knowledge base and ecosystem.

Use the same knowledge in your workflow

These modules are available to your agents through FrootAI MCP

Search and read the FROOT curriculum through hosted MCP knowledge tools, then connect it to the rest of your development surface.

Explore MCP knowledge

Learning Center Download packages Test your knowledge