Secure AI Engineering
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"Build and secure AI systems"
Secure AI Engineering is the discipline of building and defending AI systems — and in India, demand is rising fast as DPDPA and sector regulators raise expectations for AI governance and data protection. This cohort-based track takes engineers from confident AI use to securing and operating AI in production.
The track at a glance
| Stage | Focus | You leave able to |
|---|---|---|
| 1 · Foundational | Applied AI & Agentic Systems for Engineers | Drive AI tools (agentic assistants, LLMs, RAG) safely in real engineering work with structured prompting and guardrails. |
| 2 · Specialization | AI/LLM Security & Secure AI Infrastructure | Threat-model and secure LLM apps, RAG pipelines, agents and MCP against prompt injection and data exfiltration. |
| 3 · Certification | Production AI (MLOps/LLMOps) & AI-Security credential | Deploy, monitor and govern AI in production, and sit an AI-security credential (e.g. ISACA AAISM). |
Stage 1 — Applied AI & Agentic Systems for Engineers
A hands-on foundation in using generative and agentic AI the way senior engineers do: structured prompting, agentic workflows, retrieval-augmented generation (RAG) basics, and the guardrails that keep AI use safe, auditable and repeatable.
Stage 2 — AI/LLM Security & Secure AI Infrastructure
Securing LLM applications, RAG pipelines, agents and the Model Context Protocol (MCP): AI threat modeling, the OWASP LLM Top 10, prompt-injection and data-exfiltration defenses, access control, guardrails and evaluations.
Stage 3 — Production AI (MLOps/LLMOps) & AI-Security Credential
Operate AI at scale and safely: deployment, monitoring, evaluation in production, drift and cost, and AI governance — with prep toward ISACA AAISM.
Roles you'll be ready for
AI/LLM Security Engineer, Secure AI Infrastructure Engineer, and MLOps/LLMOps Engineer.
Why now
AI security is the number-one reported cybersecurity skills gap, agentic-AI postings grew ~280% year over year, and AI skills carry a 15–40% wage premium — and in India, GenAI/LLM engineers already earn well above generalist ML at every level.
Frequently asked questions
Who is this track for?
Software, cloud, platform and security engineers in India who build and secure AI — and GRC professionals moving into hands-on AI security.
How is it delivered?
Live-virtual, instructor-led cohorts with foundational prep you can start immediately. New cohorts monthly; next 24 August 2026.
Do I take all three stages?
Take stages individually or as a discounted full-track bundle; most engineers start at Stage 1 and progress to the AI-security credential.
Start the track
Cohort-based and live-virtual. Begin foundational prep now and join the next monthly cohort.
Next cohort: monthly (next 24 Aug 2026)
Live virtual, instructor-led
Per stage / full track: [FEES ₹ — TBD]
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