Build AI software workflows with coding agents, context engineering, tests, evals, guardrails, and human review

Prepare with hands-on labs, real-world architecture scenarios, practice tests, and full-length mock exams.

Secure AI apps, RAG, tools, memory, and agents while mastering risk, compliance, guardrails, and governance.

Design secure enterprise GenAI systems with RAG, AI agents, governance, monitoring, and production-scale architecture.

Hands-on training in AI security, agentic systems, and LLM governance to become a Principal AI Security Engineer.

Design secure, scalable, reliable, and governed RAG and agentic AI architectures using Azure services

Design, Secure, Scale, and Govern Production-Ready Generative AI, RAG, Agents, and Multimodal Systems on AWS

Design secure, scalable, reliable, and governed RAG and agentic AI architectures with Gemini and Google Cloud

Design autonomous AI agents that use tools, transact payments, and operate as independent digital economic actors.

A Conceptual Guide to How Python Works, Why It Matters, and Where It’s Used