Cybersecurity with AI · Live online · 8 weeks · Mentor-led
Cybersecurity with AI.
An eight-week, part-time live program for security and engineering professionals who want to use AI carefully in security operations, and to secure LLM and agent applications against prompt injection, data leakage and related risks. Designed with US learners in mind, including weekend-morning live batches; join from anywhere.
- Practise AI-assisted threat detection and alert analysis — and verify every claim the model makes
- Map an LLM or agent application against the OWASP Top 10 for LLM applications, in practical terms
- Run a short, documented red-team pass on a chat, RAG or agent feature, then recommend controls
Part-time, live online · 8 weeks · 6–8 hours a week · Fees and EMI options shared on a counsellor call.
Live online · Mentor-led
- 8 weeksDuration
- 6–8 hours a weekTime commitment
- Part-time, live onlineFormat
- Recordings if you miss a sessionAttendance
Designed with US learners in mind, including weekend-morning live batches. Join live from anywhere.
Outcomes
What you will be able to do.
These are skills and work products from the program — not placement, salary or promotion promises.
- 01
Use an AI assistant on a detection or investigation task and verify, with notes, what you accepted, edited or rejected
- 02
Write a short investigation or triage brief that a colleague can follow, including residual uncertainty
- 03
Describe, in practical terms, the OWASP Top 10 for LLM applications and how it applies to a chat, RAG or agent feature
- 04
Spot common prompt-injection and data-leakage patterns and recommend a human review or control step
- 05
Plan and document a short red-team pass on an LLM feature, including findings and residual risk
- 06
Leave with a capstone pack: a security-ops brief and/or an LLM threat model, plus recommended controls — not a vendor certification
Who it's for
A good fit, and when it is not.
For people with some IT, security or application background; not a first cybersecurity fundamentals course
This program is for
- Security analysts, SOC and detection engineers who want a structured way to use AI in investigations
- Software and platform engineers who are shipping chat, RAG or agent features and need to secure them
- IT and security professionals in the US and other regions who can join a weekend-morning or other live batch
- People who already work around logs, alerts or applications, not complete beginners in cybersecurity
This program is not for
- People looking for an official CompTIA, SANS, (ISC)² or government certificate. This program issues a Datamarcos certificate of completion
- Complete beginners who need a first course in cybersecurity fundamentals
- People seeking placement or salary guarantees — we do not offer those
Starting point
- Some exposure to IT, networks, application logs or security operations is helpful
- No prior machine-learning or LLM-engineering experience is required
- You should be willing to inspect logs, prompts or application behaviour and write down what you actually checked
Curriculum
Week by week, 8 weeks.
6–8 hours a week, live and mentor-led. Open a week for topics, labs and what you ship.
- Assisting versus automating: drafting, summarising and clustering, not unsighted close-out
- Typical failure modes: invented indicators, missed context, over-confident wording
- What must stay a human decision in a security workflow
- Choosing a practice task from detection, triage or investigation
Projects
Work you can take with you.
Verified security-ops brief
An investigation or detection note on a realistic sample, with an explicit list of what an AI assistant suggested and what you confirmed against the source.
LLM application threat model
A worksheet that maps one chat, RAG or agent feature to the OWASP Top 10 for LLM applications and names realistic controls.
Capstone: red-team note and recommended controls
A short, documented test, residual risk and a runbook. This is coursework, not an official penetration-testing or vendor certification.
Tools
What you will practise with.
These are tools used in the sessions. Product and company names are trademarks of their respective owners and are shown for identification only; no affiliation is implied.
Frameworks and practice
- OWASP LLM Top 10
- Threat-model worksheets
- Red-team test plans
AI assistants used with review
- ChatGPT
- Claude
- Gemini
Technical practice
- Python
- GitHub
Format and schedule
Part-time, live, with regional batches.
Part-time and live online, in a small mentor-led cohort. Weekend-morning batches are offered for learners in the US. Evening batches (India time) are offered for learners in the Gulf and Africa. Europe-oriented groups typically meet after work and on Saturdays. Recordings are shared if you miss a live session. Exact days, times and the next cohort date are confirmed on a counsellor call.
Designed with US learners in mind, including weekend-morning live batches. Join live from anywhere.
Fees and EMI options shared on a counsellor call. A Datamarcos certificate of completion is awarded when you finish the program work. Cohort start dates are shared on a counsellor call — we do not publish a date until then.
Lead mentorMentor
Deepesh Mishra
Founder, Datamarcos · Solution Architect · Corporate Trainer · BITS Pilani alumnus
Deepesh is the founder and lead mentor at Datamarcos. He has worked as a solution architect and corporate trainer in data and AI, and has trained teams at 200+ organizations. Live sessions on this program are mentor-led, with practical, project-based delivery.
FAQ
Questions, answered.
Can't find yours? A counsellor will answer it on a short call.
Is this an official CompTIA, SANS, (ISC)² or government certificate?
No. Completing the program leads to a Datamarcos certificate of completion. We use public frameworks such as the OWASP Top 10 for LLM applications as working checklists. We do not award, and do not prepare you for, a third-party certification exam.
How long is the program and how much time does it take?
Eight weeks, part-time and live online, at about 6–8 hours a week including the live session and practice work.
Who is it for?
Security, SOC and detection professionals, and engineers who ship chat, RAG or agent features and need to secure them. Some IT, logging or security exposure is helpful. It is not a first course in cybersecurity fundamentals.
Are the sessions live, and when do US batches meet?
Yes. Sessions are live and mentor-led, with recordings if you miss a class. Weekend-morning batches are offered for learners in the US; other regional times are available. Exact days and times are confirmed on a counsellor call.
Do I need to be an AI engineer already?
No. You should be comfortable inspecting logs, prompts or application behaviour. Machine-learning or LLM-engineering experience is not required. Engineers who mainly want to deploy and evaluate production LLM services may also look at LLMOps & AI Evaluation.
What about fees?
Fees and EMI options shared on a counsellor call.
Is there a refund policy?
Yes. Datamarcos has a 7-day refund policy. If the program is not right for you, ask within 7 days of enrollment.
The full program guide
Read the 8 weeks curriculum.
Modules, projects, tools and format in one PDF. No prices are listed; fees are shared on a counsellor call.
Full program guide
Cybersecurity with AI brochure
Share your details once to read and download the complete syllabus.
Unlock the syllabusSmall-batch live cohorts
Use AI in security work without losing the evidence trail.
Share a few details. A counsellor will talk through your background, weekend-morning or other batch times, the next cohort, fees and enrollment.
- Eight weeks, 6–8 hours a week, live and mentor-led
- US weekend-morning batches, with other regional times available
- Security ops plus LLM and agent application security
- Honest scope: not an official CompTIA, SANS or (ISC)² certificate, and no placement or salary guarantees
- Live, mentor-led sessions with Deepesh Mishra
- Honest outcomes: no placement or salary guarantees
- 7-day refund policy: not right for you? Ask within 7 days for a refund.
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