Cybersecurity for AI and Cloud
Defensive security aimed where the attacks now are: cloud infrastructure and AI systems. Everything is practised in an isolated lab we provide.
- Kali Linux
- Wireshark
- Burp Suite
- +2
Certification programme
Run real campaigns with real budgets, with AI doing the production work. SEO, paid ads, content and analytics, measured properly so you can prove what worked.
What you will be able to do
At a glance

Full syllabus
7 modules · 39 topics · 156 concepts
Audience
Positioning
The funnel
Budgeting
Goals and KPIs
You can build a marketing plan from an audience and a budget.
How search works
Keyword research
On-page SEO
Technical SEO
Local SEO
Off-page
You can audit a site and build an SEO plan with a defensible priority order.
Auction mechanics
Account structure
Keywords and matching
Ads and landing pages
Bidding and optimisation
Measurement
You can build, run and optimise a search campaign to a target cost per acquisition.
Platform selection
Organic social
Campaign setup
Creative
Optimisation
You can run a paid social campaign and iterate on creative systematically.
Content strategy
Writing that ranks and converts
AI in production
Brand voice
Visual and video
You can run a content operation at several times manual speed without it reading as generic.
Google Analytics 4
Tracking setup
Search Console
Attribution
Reporting
Privacy
You can set up tracking correctly and attribute results defensibly.
Campaign planning
Testing
Conversion rate optimisation
Working with clients
Career
You can plan, run and report on a full campaign end to end.
5 builds you keep
A real site, audited for crawlability, Core Web Vitals, structure and content gaps, delivered as a prioritised plan with effort and expected impact against each item.
Given an account with poor structure and no negatives, find the wasted spend in the search terms report, restructure, and project the saving. The most common real agency task.
Google Business Profile, local keywords, map pack visibility and a landing page. Measured on calls and directions requests rather than impressions.
Five hooks, one offer, and a budget too small for statistical comfort. Includes deciding honestly when you have learned something and when you have not.
A real budget, tracking set up before launch, weekly optimisation, and a final report that states what worked, what did not and what you would do differently.
Hands on with
Before you enrol
A small budget helps, because running a real campaign is not the same as reading about one, and we keep the required amount modest and say so up front. Much of the paid media work can also be done in sandbox and demo accounts.
It has changed rather than ended. Zero-click results have grown, which pushes value toward local search, brand queries and content that earns a citation in an AI answer. The course teaches for that rather than for 2018.
It has already replaced a lot of the production work, which is why the content module is built around using it rather than ignoring it. Strategy, judgement on spend and interpreting attribution are not close to automated.
No. The course covers enough design in Canva and enough writing structure to produce what a campaign needs. The analytical modules tend to be the harder part for people from a creative background, and vice versa.
Agency executive roles are the most common entry point in Mumbai, along with in-house marketing assistant positions and freelance work for small businesses. A portfolio of campaigns with real numbers matters far more than a certificate.
Where this leads
One skill on a CV is a hobby. These are the courses students take alongside this one, in the order that builds an actual role.
Defensive security aimed where the attacks now are: cloud infrastructure and AI systems. Everything is practised in an isolated lab we provide.
The newest thing we teach, and the one nothing else in Mumbai covers properly. Building AI systems that plan, call tools and finish multi-step work on their own.
Deploying is the easy part. This is the course about what happens afterwards: Kubernetes in depth, GitOps, observability you can debug with, and the reliability practices that decide whether a system stays up at three in the morning.