Learn with METANOW
Technology Knowledge Sessions
Explore AI, connected technologies and governance through practical Beginner, Intermediate and Advanced sessions. Choose a subject or discover something new.
Beginner — Build a clear foundation.
Intermediate — Connect the components and controls.
Advanced — Examine architecture and deployment choices.
17 sessions
Agentic AI versus an AI agent
Separate a system design approach from an individual agent, and understand where workflows, tools and autonomy fit.
Start session Intermediate sessionCybersecurity versus AI governance
See how protecting systems and governing AI decisions overlap while addressing different risks, owners and evidence.
Start session Intermediate sessionDigital twins and predictive analytics
Compare a connected representation of an asset with a prediction, and see why dependable data and validated assumptions connect the two.
Start session Advanced sessionHow can a drone be dispatched autonomously?
Explore the architecture of event-triggered drone missions, including preflight checks, supervision, authorisation and safe failure behaviour.
Start session Beginner sessionIoT and IIoT: what is the difference?
Compare connected devices with industrial connected systems, including reliability, operational technology and the consequences of failure.
Start session Intermediate sessionLAM versus LLM
Understand language generation, action selection and why an action-capable system still needs tools, permissions and verification.
Start session Beginner sessionSLM versus LLM
Compare smaller and larger language models through task quality, deployment constraints, latency and cost instead of labels alone.
Start session Intermediate sessionThe components of an AI system
Explore how models, retrieval, tools, state, orchestration and review controls work together in a practical AI application.
Start session Intermediate sessionWhat are AI guardrails?
Understand input, output and action checks, their limitations and their place alongside permissions and human approval.
Start session Beginner sessionWhat is Agentic AI?
Learn how goal-directed AI combines models, tools and feedback to support work across several steps, with clear limits and human oversight.
Start session Beginner sessionWhat is AI governance?
Explore ownership, acceptable use, evidence, evaluation and human oversight throughout an AI system’s life cycle.
Start session Beginner sessionWhat is big data?
Understand data volume, speed and variety, and why trustworthy analytics depend on quality and ownership rather than size alone.
Start session Beginner sessionWhat is Generative AI?
Understand how generative models produce text, images and other content, and why a useful draft still needs evidence and review.
Start session Intermediate sessionWhat is MCP?
Learn how the Model Context Protocol connects AI applications with tools and data, and which security responsibilities remain with the application.
Start session Intermediate sessionWhat is RAG?
Follow retrieval-augmented generation from document preparation to a grounded answer, including access control and source verification.
Start session Advanced sessionWhat is vLLM?
Distinguish the vLLM inference and serving engine from a language model, and identify the deployment questions that determine its usefulness.
Start session Intermediate sessionWhen does CCTV become AI video analytics?
Follow the path from a camera stream to model inference, reviewable events and operational alerts, including accuracy and privacy limits.
Start session
METANOW