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.

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

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

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

Build real AI-powered automations, workflows, and agents — from APIs to RAG to full production systems.

Covers Intune, Autopilot, App Deployment, Device Management, Security, Troubleshooting and Co-Management

Covers Databricks SQL, Lakehouse Analytics, Dashboards, Query Optimization, BI Reporting and Enterprise Analytics