36 briefs across 11 tracks.
Use filters to narrow the board without losing the wider curriculum map.
Learner signal feed
Guided discovery by track and level
Use filters to narrow the board without losing the wider curriculum map.
AI Foundations
A plain-language foundation for AI, machine learning, models, data, training, inference, and human judgment.
A practical comparison of predictive models, generative models, and how they work together in enterprise workflows.
A simple explanation of neural networks, language models, large language models, and small language models.
Understand how prompts, context, examples, policies, and retrieval work together to produce reliable AI behavior.
Understand retrieval-augmented generation, common RAG patterns, and how grounding reduces unsupported answers.
Learn the simple safety habits that keep AI outputs useful, reviewable, and grounded in evidence.
Cloud Basics / Cloud Risk And Responsibility / Cloud Service Models / Cloud Deployment Models
A practical introduction to cloud as an operating model, not just someone else's servers.
Understand the practical benefits cloud can provide and the conditions needed to actually realize them.
Learn the difference between moving to cloud, improving for cloud, and designing with cloud-native patterns.
Understand what the provider handles, what the company still owns, and why AI makes the boundary even more important.
A plain-language guide to cloud service models and the responsibilities that change with each one.
Understand the main cloud deployment models and when each can make sense in an enterprise landscape.
Agentic Principles / Agentic Systems / Agentic Delivery
Understand agents, goals, tools, plans, feedback loops, and the guardrails that keep delegation safe.
Understand the building blocks that let agents act safely and repeatably.
A fast explanation of how agents discover tools and collaborate with other agents.
How to expose tools to agents through clear contracts, permissions, telemetry, and failure handling.
How software delivery changes when agents help plan, code, test, review, and operate systems.
AI Primitives And Instructions / Low-Code Agent Patterns / Role Playbooks
Learn the basic building blocks of AI applications: models, prompts, context, memory, tools, instructions, and evaluation.
Understand where low-code agent builders fit and how to design them with boundaries, actions, and review.
How analysts can turn messy stakeholder needs into safer AI-assisted workflows.
Use agents for market scanning while keeping source quality and analyst judgment explicit.
Where AI can assist trading teams without replacing controls, accountability, or market discipline.
Patterns designers can use to make AI features understandable, interruptible, and trustworthy.
Cloud Networking And Access / Cloud Security And Access / Cloud Platform Operations
Learn the basic cloud networking vocabulary needed to discuss connectivity, exposure, and private access.
Understand why identity is the control plane for modern cloud access and how Zero Trust changes assumptions.
A concise grounding brief on private cloud platforms, networking boundaries, GitOps, and platform ownership.
DevOps And Platform Foundations
A practical explanation of DevOps as collaboration, automation, and shared ownership across delivery and operations.
Learn how Site Reliability Engineering and platform engineering complement DevOps in modern cloud organizations.
Understand how pipelines and GitOps work together to make change safer, traceable, and repeatable.
Authorization And Governance
Architecture Patterns / Cloud Governance And Design
Compare common architecture styles and learn when each is useful in cloud conversations.
Learn how domain language, boundaries, and reusable patterns help teams design better cloud systems.
Understand how adoption and architecture frameworks help teams move from ambition to governed cloud delivery.
Cloud Data Foundations
Cloud Optimization And Governance
Agent Platform Operations