Discipline 006
Every IT course you'd hire for — taught by the engineers we'd hire.
One catalogue covering the entire IT skill graph: programming foundations, web and mobile, data and cloud, cybersecurity, and the new AI stack — prompt engineering, RAG, and agentic coding. Live cohorts, small batches, shipped projects.
What we do
Capabilities inside this practice.
- 01Programming foundations — Python, Java, C++, JavaScript, TypeScript, Go
- 02Web & mobile — React, Next.js, Node, Flutter, React Native, Android, iOS
- 03Data & analytics — SQL, pandas, Power BI, Tableau, data engineering on Spark & Airflow
- 04AI / ML & LLMs — classical ML, deep learning, NLP, transformers, fine-tuning, evaluation
- 05Prompt engineering — system design, structured output, evaluation harnesses, guardrails
- 06Agentic coding — Cursor, Claude Code, Copilot, MCP tools, multi-agent workflows, autonomous pipelines
- 07Cloud & DevOps — AWS, GCP, Azure, Docker, Kubernetes, Terraform, CI/CD
- 08Cybersecurity — application security, ethical hacking, SOC fundamentals, cloud security
- 09Quality & SRE — Playwright, Cypress, performance, observability, incident response
- 10Design & product — Figma, UI systems, UX research, product management foundations
- 11Career tracks — DSA, system design, mock interviews, resume polish, 90-day placement support
- 12Bespoke corporate cohorts and on-campus programs for colleges and institutions
How we run it
The four phases of every engagement.
- 01
Diagnose
Onboarding assessment maps each learner to the right starting line across the catalogue.
- 02
Teach
Twice-weekly live sessions, async assignments, weekly 1:1 mentor check-ins, AI-pair-programming from day one.
- 03
Ship
Three production-grade projects with real users — including an AI-assisted build by program end.
- 04
Place
Resume polish, mock interviews, and 90 days of placement support post-cohort.
Common questions
What clients ask before signing.
Which courses are actually in the catalogue?
The full IT spectrum: programming fundamentals (Python, Java, JS/TS), web & mobile (React, Next.js, Flutter, native), data & analytics, cloud & DevOps, cybersecurity, QA automation, design — plus the new AI stack: ML, LLMs, prompt engineering, RAG, and agentic coding with tools like Cursor, Claude Code, and MCP.
Do you teach prompt engineering and agentic coding as serious tracks?
Yes. Prompt engineering covers system design, structured output, evaluation, and guardrails — not tips and tricks. Agentic coding teaches Cursor, Claude Code, Copilot, MCP servers, and multi-agent workflows applied to real codebases.
Can I learn AI without a strong maths background?
Our applied AI track is built for builders. You'll need Python comfort and basic statistics — we teach the rest in context, focused on shipping working AI features rather than deriving proofs.
Is placement guaranteed?
No honest program guarantees placement. Our 92% placement rate speaks for itself, and we extend support 90 days past program end across every track.
Can you train my whole team or college?
Yes — corporate and institutional cohorts are bespoke. We diagnose your stack and level, then design and deliver against it, including private AI and agentic-coding workshops.
Are sessions recorded?
Yes. Live cohort attendees get full recordings, transcripts, and a structured assignment graph for every course in the catalogue.
Specialist AI tracks
Three deep tracks inside this catalogue.
Enquire · Reserve a seat
Tell us which track you're aiming at.
Pick a course and a preferred cohort window. We'll get back within two business days with dates, fees, and the next steps to enrol.
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