AI Hands-On Labs

Prove Your AI Resilience &
Govern AI With Confidence.

Immersive One delivers hands-on labs that teach your teams how to build, use, and defend AI systems safely — from prompt injection to unsafe code generation. Powered by Container 7 intelligence and mapped to OWASP and emerging AI frameworks.

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Model Evaluation and Agentic RBAC

Focus on what matters most in production: measuring model performance and enforcing clear boundaries on autonomous AI agents.

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AI Data Protection collection

Gain technical proficiency to secure top leak points: the prompt, data lineage, and the generated output.

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Agentic Observability

Enable teams to oversee a digital workforce and ensure agents remain within their operational parameters.

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AI Governance

Ensure AI initiatives are tied to tangible outcomes and quantified goal metrics before they scale.

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AI Guardrails Series (Bedrock, Azure, NVIDIA)

The primary risk for AppSec leaders is more than just Shadow AI; it is the high probability that developers will ship vulnerable prompts or leak sensitive data into public models.

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Building with AI: Gemini CLI

Accelerate innovation and engineering excellence using Google’s Gemini ecosystem.

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OWASP Top 10 for Agentic Applications

Accelerate security posture and architectural integrity using the OWASP Top 10 for Agentic Applications.

AI Challenges

Mitigate the critical risks of AI adoption.

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Building with AI: Codex CLI

Drive security and development velocity using OpenAI's Codex CLI.

Building with AI: Claude Code

Securely boost productivity using Anthropic's Claude Code.

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Fundamental AI Algorithms

Explore core algorithms—from online recommendations to autonomous systems—now integrated into daily technology.

OWASP Top 10 for LLMs and Gen AI

Access a structured deep dive into the top ten critical LLM vulnerabilities, from Prompt Injection to Data Poisoning.

AI for Business

Discover the strategic power of AI to revolutionize industries and solve complex challenges.

AI Fundamentals

Explore the broader world of AI, covering foundational concepts like machine learning, deep learning, and neural networks.

AI Foundations

Master the essential architecture of modern AI systems, from LLM basics and RAG to agentic AI.