Course Recordings
The AI Course, on your schedule.
10 weeks of Dr. John Ennis teaching AI for sensory and consumer science. Every session, every transcript, every prompt, every dataset. Watch when you want. Keep it forever.
Same curriculum that has trained dozens of Fortune 500 sensory and consumer insights professionals. The bundle includes 1-year access to the Aigora AI Toolkit.
What you get
Recordings
The full session archive
Everything from the 10-week course, on demand
$797
One-time purchase · Yours forever
- ✓ 10 full session recordings (~15 hours of instruction)
- ✓ Bonus session: AI for PowerPoint Making
- ✓ Full transcripts of every session
- ✓ 12 weeks of office hours notes
- ✓ Session deck PDFs (slides used in class)
- ✓ The Aigora Master Datakit: 12 mock report PDFs across categories, channels, chemistry-sensory, GLP-1, focus groups, pricing, lifecycle, and SKU scorecards
- ✓ IT Tools meta-prompt (the letter that gets your IT department to approve AI tools)
- ✓ Manager Justification meta-prompt (the letter that gets your boss to fund this work)
- ✓ Certificate of completion (PDF)
Recordings + Toolkit Bundle
Archive plus a year of the Toolkit
Everything in the recordings, plus working software
$1,297
Save $500 against buying separately
Everything in Recordings, plus:
- ✓ 1 year of the Aigora AI Toolkit ($1,000 value)
- • Chart beautification for scientific visuals
- • Slide-making workflows
- • Data ingestion templates
- • Analysis automations
Prefer invoice terms? Use the contact form. 30-day money-back guarantee on both options.
What you'll learn, week by week
Ten sessions, two parts: strategic foundations first, then hands-on technical skills. Click any session to expand.
Session 1: How AI actually works
The honest technical foundation. Tokens, context windows, RAG, and why every LLM output is technically a hallucination. After this, you stop being surprised when models bluff and start designing workflows that catch them.
“Everything that comes out of an LLM is a hallucination. It just happens that sometimes the simulation is very accurate.”
Session 2: Staying in control of long projects
Context pollution, model empathy, and how to handle a chat that's going off the rails. NotebookLM and Copilot Notebooks as RAG systems with source traceability. How to extract a handoff from a dying chat and start clean.
Session 3: Deep Research and point-of-view agents
Gemini Deep Research for grounded, source-cited reports across Reddit, earnings calls, and academic journals. Building "Maya," a consumer persona agent in Copilot grounded in real data, then interviewing her about your category.
Session 4: Visual communication for scientists
Build a brand-aware visual pipeline. Look-and-feel guides loaded into Gemini Gems. Character sheets for consumer personas with consistent images across angles and scenes. Turn ugly R charts into things people actually look at.
“Make your data come to life. You got some chart that's like the key chart, make it nice.”
Session 5: Music, video, and emotional storytelling
Suno for original music, Veo for video, 11Labs for narration. The session where John generates a nostalgia track from a sensory profile, builds a talking-head consumer testimonial, and shows you how to land a finding in the boardroom.
Session 6: AI as the data science amplifier
Where Part 2 begins. AI threaded through the full data science workflow: experiment design, data cleaning, analysis, communication. Plan your R or Python analysis in conversation with the model before a single line of code. Whiteboard sketches into publication-quality infographics.
Session 7: Coding without being a coder
Treat AI like an enthusiastic intern, not a vending machine. Walk through R code with the model as your tutor. Fight hallucinations by grounding everything in source material. Run your first AI-assisted panel performance analysis.
“When you hear that voice in your head telling you that you are not a painter, by all means paint. So if you're like, 'I'm not a coder,' by all means code.”
Session 8: Reproducible research, GitHub, the business case
Set up RStudio with a real project structure. Use GitHub and Git Kraken to see every change. Render your own scripts as Mermaid flowcharts. Write a humanized AI-generated business case to get IT to give you the tools you need.
Session 9: Build a Shiny dashboard live
Blank repo to deployed app in one session. Load the SensoMineR chocolate dataset, run PCA, build a styled Shiny dashboard, ship it to Railway at a public URL. Live bug fixes included. Style the whole thing from a North Star image generated in Imagen.
“If it bleeds we can kill it. If you can get it to run and you can get it going, you can make it better.”
Session 10: APIs and full-stack thinking
Make your first API call from R. Store keys safely in .Renviron. Chain Gemini and OpenStreetMap. Add AI-generated flavor profiles as mouseover tooltips on a PCA map. John closes with where the field's headed and how to keep moving.
“AI is not a replacement, it's a multiplier. Ten times zero is still zero.”
Why this, and why now
The tools that made the curriculum possible a year ago have improved 10x and the cost has dropped to near-zero. Teams that build the habits now will outpace teams that wait. The recordings give you the same foundation the live cohort gets, on your timeline, at less than half the price.
You'll come out of it with:
- A working mental model for how to use AI in research workflows
- 20+ ready-to-copy prompts for specific consumer insights tasks
- The confidence to mock up an app, generate visuals, and analyze open ends without waiting for a developer or a designer
- A library of practice datasets you can use forever
Frequently Asked Questions
How is this different from the live course?
The live course adds three things: weekly live sessions with John, two office hours per week, and a cohort of peers working through the material with you. The recordings are the same teaching content, async. Same curriculum, same datasets, same prompts. No live Q&A.
How long do I have access?
Forever. The recordings, transcripts, and datakit are yours to keep. The Toolkit (in the bundle) is 1 year of access, renewable.
Can I share access with my team?
The recordings are single-seat. For team access, look at the live course Corporate Seat Bank ($25,000 for 10 seats) or talk to us about Internal Corporate Training.
Do I get a certificate?
Yes. Same PDF certificate of completion that live students get.
Can I upgrade to the live course later?
Yes. Apply the recordings purchase as credit toward a live cohort within 12 months.
Are the recordings updated as new sessions are taught?
You get the current archive at the time of purchase. Future cohorts may add bonus content, and we'll notify recordings buyers when it lands.
What software do I need?
Standard laptop, web browser, a few AI tool subscriptions (ChatGPT or Claude, Gemini, Suno, NotebookLM). The course teaches free or low-cost options for everything.
Refund policy?
30-day money-back guarantee. If the recordings aren't useful, email us and we'll refund.
Stop watching the AI conversation. Lead it.
For less than the cost of a single conference, you'll have the AI foundation that took our Cohort 1 students 10 weeks to build. Watch on your schedule. Keep everything forever.