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60 Technical Presentation Topics (With a Demo Plan)

Tech talks fail when the slide is the system diagram at 8pt. 60 topics with a demo plan and a 10-slide engineering shape.

Ilias Ism

by Ilias Ism

5 min read

60 Technical Presentation Topics (With a Demo Plan)

If your architecture diagram needs a zoom, it is a handout. The talk is the path through the system: problem, constraint, decision, proof.

Dokie's "300+ IT topics" is a tag cloud. These 60 are talk-sized, with a demo or a single diagram you can point at.

Key Takeaways
  • Start from a failure or a constraint, not from the logo of a cloud vendor.
  • One diagram with three numbered steps. Put the rest in an appendix.
  • A 3-minute demo beats 12 screenshots. Script the demo. Have a recording.
  • Name tradeoffs. "We picked Postgres because X, knowing Y would hurt."
  • Build slides in GenPPT from a one-page design doc, then delete every box nobody will read.
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Shape of a tech talk

SlideContent
1Title + the user-visible symptom
2Constraint (time, money, latency, compliance)
3Options we rejected
4Decision
5Diagram (3 steps)
6Demo or metric
7Failure mode
8What we monitor
9Next 30 days
10Ask / Q

Ten minutes? Cut to 6 slides. See 10-minute presentation topics.

Infrastructure and security

  1. Why we still run a queue in front of that API
  2. TLS certificates we almost let expire
  3. How we designed the on-call rotation
  4. A postmortem of a DNS miss
  5. Why we did not go multi-cloud
  6. Least privilege that engineers will actually use
  7. Backups we restored on purpose last quarter
  8. Feature flags that saved a Friday
  9. How we load-test without melting staging
  10. Secrets that used to live in Slack
  11. WAF rules that blocked customers
  12. Cost of idle Kubernetes
  13. Email deliverability as an engineering problem
  14. Why we moved off that managed queue
  15. Device trust vs VPN
  16. How we rotate keys without downtime
  17. Rate limits as product, not punishment
  18. A tabletop: ransomware on a Tuesday
  19. Observability we pay for and never open
  20. The one dashboard that should page a human

Data, AI, and product

  1. Why the metric in the board deck is wrong
  2. Event names we regret
  3. How we evaluate a model without a research team
  4. RAG that cites the PDF page, or we do not ship it
  5. PII we found in logs
  6. Schema changes that do not lock the table
  7. A/B tests we killed early
  8. Search relevance: 5 ugly queries
  9. Why we do not fine-tune (yet)
  10. Data retention vs "keep everything"
  11. Feature store vs a warehouse table
  12. Latency budget for the checkout
  13. Offline-first sync that almost worked
  14. Prompt injection we caught in staging
  15. How we version prompts like code
  16. Accessibility bugs that are engineering, not "design later"
  17. Maps: tiling, cost, and privacy
  18. Why this report is a product
  19. Caching that served stale prices
  20. Eval set that matches real tickets

Class and career

  1. How DNS works, with a live dig
  2. HTTP caching in 10 minutes
  3. Git rebase vs merge, with a real mess
  4. How a CPU cache changes a loop
  5. SQL explain on a slow query
  6. What a container is not (not a tiny VM slide)
  7. Public-key crypto with a toy example
  8. How a browser renders a page
  9. CAP theorem without the airline jokes
  10. Writing a design doc people read
  11. How to present a bug without a villain
  12. Open source license, in practice
  13. Accessibility: keyboard-only demo
  14. How a CDN chooses a POP
  15. Memory leaks in a language you use
  16. Testing: what not to mock
  17. The ethics of scraping
  18. How a compiler error is a UX problem
  19. Networking: what localhost hides
  20. How to present a design doc in 10 minutes without reading it aloud

Audience

RoomSlidesOpen with
Exec6Symptom + cost + decision
Eng deep-dive10Constraint + options rejected
Class8Live demo first, theory second

Worked demo plan: DNS miss postmortem

  1. Symptom slide: users hit the old IP for 40 minutes.
  2. Live: dig the name, show TTL still serving the stale record.
  3. Diagram: resolver cache, not "the internet was down."
  4. Failure if wifi dies: 30-second screen recording in the appendix.
  5. Metric: time to detect, time to drain TTL, who got paged.
  6. Next 30 days: monitoring on NS changes.

Cybersecurity and AI belong in the Infrastructure and security and Data, AI, and product lists above. Do not add a glossary of "what is blockchain." If you need a true seminar fight, use seminar topics.

FAQ

What are the best technical presentation topics? Incidents, tradeoffs, and demos. Not "what is cloud."

Easy topics? DNS with dig, HTTP caching, a slow SQL EXPLAIN, keyboard-only accessibility.

For students? Pick one demo you can do offline. Record a fallback.

How do I choose? If you cannot name a constraint and a rejected option, the topic is a Wikipedia page.

How do I keep non-engineers awake? Symptom first, one diagram, one number. Hide the rest in the appendix.

McKinsey-style clarity still helps engineers. Steal hierarchy from McKinsey slides, not the clip art.

Record the demo. Live wifi is a character in your play whether you cast it or not. Put the recording in the appendix of a GenPPT deck so the talk survives a dead dongle.

Ilias Ism
Ilias Ism

SEO strategist and former CTO who builds scalable content systems. Founded LinkDR, MagicSpace SEO, AISEOTracker, and GenPPT.

  • Built and sold Officient ($500k+ MRR)
  • Scaled 20+ products generating $10M+ revenue
  • 4x B2B SaaS founder
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