ai-architect-academy

Patterns for multi-agent coordination, task decomposition, handoffs, and workflow orchestration. Best practices for building and managing agent systems.

Enterprise AI security - OWASP LLM Top 10, prompt injection defense, guardrails, PII protection

Create professional architecture diagrams using D2, Draw.io, Mermaid, and OCI official icons for enterprise-grade visualizations

Build AI applications on AWS using Bedrock, SageMaker, and AI/ML services with best practices for enterprise deployment

Build AI applications on Azure using Azure OpenAI, Cognitive Services, and ML services with enterprise patterns

Build autonomous AI agents using Claude Agent SDK with computer use, tool calling, MCP integration, and production best practices

Production-grade AI architecture patterns for enterprise - security, governance, scalability, and operational excellence

Cost optimization for AI workloads - model selection, GPU sizing, commitment strategies, and multi-cloud cost management

Expert in OCI Generative AI Dedicated AI Clusters - deployment, fine-tuning, optimization, and production operations

Train and fine-tune LLMs using HuggingFace TRL, Transformers, and cloud GPU infrastructure with SFT, DPO, GRPO methods

Automated skill for keeping AI knowledge bases current with latest model versions, framework updates, and best practices

Deploy and operate AI workloads on Kubernetes with GPU scheduling, model serving, and MLOps patterns

Build production-grade agentic workflows with LangGraph using graph-based orchestration, state machines, human-in-the-loop, and advanced control flow

Current best practices for Model Context Protocol server design, implementation, and integration. Updated patterns for 2026 MCP ecosystem including multi-server orchestration, security, and performance.

Design and implement Model Context Protocol servers for standardized AI-to-data integration with resources, tools, prompts, and security best practices

Design and deploy AI workloads across AWS, Azure, GCP, and OCI with intelligent routing, cost optimization, and cross-cloud patterns

NVIDIA NIM inference microservices for deploying AI models with OpenAI-compatible APIs, self-hosted or cloud

Expert guidance on Oracle Cloud Infrastructure services, cloud architecture patterns, cost optimization, deployment strategies, and OCI best practices for enterprise solutions

Build production-ready multi-agent systems using OpenAI AgentKit and Agents SDK with best practices for agent orchestration, handoffs, and routines

Build production agentic applications on OCI using Oracle Agent Development Kit with multi-agent orchestration, function tools, and enterprise patterns

Design framework-agnostic AI agents using Oracle's Open Agent Specification for portable, interoperable agentic systems with JSON/YAML definitions

Expert in Retrieval-Augmented Generation systems - knowledge bases, chunking strategies, embedding optimization, and production RAG architectures

Infrastructure as Code for AI workloads using Terraform across AWS, Azure, GCP, and OCI