The AI-Powered Strategist
Learn to create living research systems that move stakeholders beyond static decks.
Cohort 3 starts September 22, 2026
Dr. John EnnisCourse instructor
Dr. Vanessa Rios de SouzaGuest instructor
- Format
- 10-week live course
- Live sessions
- Tuesdays, 9:30-11:00 AM ET
For sensory scientists, consumer insights researchers, and research leaders who want practical AI workflows.
Cannot join live? View the recordings option.
Walk Away With These Skills
Turn Data Into Stories
Turn static reports into compelling POVs that move stakeholders to action
10x Your Efficiency
Master AI workflows that compress weeks of work into hours
Code With AI
Use Claude as your coding partner for R programming, no prior experience needed
Deploy Web Apps
Ship production-ready interactive applications your stakeholders can explore
Future-Proof Your Career
Gain skills that increase your strategic value in an AI-driven industry
Your Complete AI Accelerator Toolkit
The Aigora Master Datakit
A rich collection of mock datasets, protocol documents, surveys, and reports mirroring everyday sensory & consumer science workflows.
Aigora AI Accelerator Toolkit
One-year exclusive access to our custom prompting and AI augmentation tools, including image generation and video workflows.
Community & Office Hours
Join 50+ professionals in the private LinkedIn group from Cohort 1. Weekly office hours with Dr. Ennis give you direct, unstructured access — bring your own questions and learn in real time.
Recordings & Flexibility
All live sessions are recorded so you can review at your own pace. Miss a week? Catch up on your schedule.
Meet Your Instructors
Dr. John Ennis
CEO & AI Pioneer, Aigora
PhD in Mathematics with a postdoctoral focus on AI. Over 30 years in sensory science, 50+ publications and 4 books. Regarded as the world's foremost authority on applying AI to sensory and consumer science.
LinkedIn
Dr. Vanessa Rios de Souza
Director of Client Solutions, Aigora
70+ scientific publications. Co-author of Data Science for Sensory and Consumer Scientists. PhD in Sensory Science with deep expertise across global consumer research programs.
LinkedInThe 10-Week Journey from Data to Deployed App
A structured progression in two parts: master the strategic foundations first, then level up with hands-on technical skills.
Weeks 1-5
Part 1: The No-Code Strategist
Master knowledge synthesis, prompt engineering, and multimodal storytelling. No coding required.
OUTCOME: Multimodal POV narratives that move stakeholders
Weeks 6-10
Part 2: The Low-Code Power User
Use AI as your coding partner to build reproducible data science systems and deploy interactive apps — zero prior experience needed.
OUTCOME: Deployed interactive app with live data pipelines
Week-by-Week Details (click to expand)
Part 1: Knowledge Synthesis, GenAI & Visual Storytelling (Weeks 1-5)
Week 1: Knowledge Synthesis Foundations
Objective: Break down how models process information using tokens, embeddings, and context windows. Introduces the concept of Model Empathy — showing the model where to look — and demonstrates the RAG (Retrieval-Augmented Generation) flow using Deep Research, THEUS, and NotebookLM for traceable, citation-backed insights.
Week 2: The AI Taxonomy & Prompting
Objective: Learn that LLMs are creative, probabilistic pattern recognizers, not deterministic search engines. Introduces the AI Taxonomy — classifying tools from basic Models and Wrappers to RAG Systems, Workflows, Agentic Search, and fully autonomous Agents. Also covers data security, open standard formats (JSON, Markdown), and the 10-Component Framework for comprehensive prompt engineering.
Week 3: Model Empathy & The Parsing Gap
Objective: Bridge the "parsing gap" — converting messy, unstructured raw data into clean, machine-understandable formats. Compare "Small RAG" applications: NotebookLM for in-depth, private document synthesis versus Copilot for real-time web and workspace integration. Work with the Aigora Master Datakit to analyze SKU scorecards and research trends.
Week 4: The New Visual Toolkit
Objective: Translate data into visual narratives using a 4-step Prompt-to-Image workflow (Define, Contextualize, Synthesize, Refine) with tools like Nano Banana Pro, Aigora Image Maker, and Copilot. Generate diverse asset classes including 4K product mockups, enhanced radar charts, recipe cards, infographics, whiteboard sketches, comics, and social media mockups.
Week 5: Multimodal Communication
Objective: Bridge the gap between dense data and executive reality using multimodal AI (video and audio). Transition from static prompting to the "Director's Workflow" — conversational editing. Covers motion keyframing, sonic branding for emotional resonance, and an exercise on evoking nostalgia through visual and audio priming.
Part 2: AI-Assisted Data Science, Coding & Apps (Weeks 6-10)
Week 6: Building the Technical Foundation
Objective: Establish the tech stack (R, Python, GitHub, Posit/RStudio, Google Colab). Contrast AI's "superpowers" (rapid boilerplate generation) with human-centric struggles (system architecture and technical debt). Introduces the 5-Stage Segmented Workflow and the "99% Rule" — achieving 99% accuracy requires 100% proper context.
Week 7: The Data Science Cook's Tour
Objective: Map the workflow across four quadrants: Data Collection, Preparation, Analysis, and Value Delivery. Use AI to generate complex Design of Experiments (DoE), script data imports, establish panelist alignment metrics, and refine raw logs into a reliable "Golden Dataset." Demonstrate AI-managed PCA biplots and executive summaries from dense datasets.
Week 8: Scalable Systems & Version Control
Objective: Move from writing ad-hoc "scripts" to building reproducible "systems," using a collaborative "Pair Programmer" model over a disjointed "Vending Machine" approach. Focus on the professional workbench (RStudio), standardizing directory paths, and using Git, GitHub, and GitKraken as a "Scientific Safety Net" to visualize code history and manage pull requests.
Week 9: The App Builder
Objective: Turn analytical scripts into interactive stakeholder tools in minutes. Using Shiny (app.R or app.py), learn to separate the "Front Door" (UI sliders and charts) from the "Engine Room" (server statistical calculations). Deploy apps behind company firewalls (Posit Connect) or to the public cloud (shinyapps.io).
Week 10: API Integration
Objective: The final capstone week teaches how to call APIs and integrate external data sources directly within the R environment, connecting your analytical workflows to live services and automating data pipelines end to end.
Want the vocabulary before the journey? Browse the free AI course glossary, every key term from all ten weeks with a printable cheat sheet.
Trusted by Industry-Leading Sensory Teams
Hear from professionals across sensory science, consumer insights, and data analysis who completed our first cohort.
"I've totally changed how I work with AI. I've seriously done things I never thought I could and much of it comes down to this mentality shift."
Joey Donovan, PhD
Sensory Director, Kantar
"One of the traits that distinguishes John is the passion and excitement that he has for the subject. That excitement is contagious."
Stephen McIngvale
Senior Research Director, InsightsNow
"I learned so much in just the first 5 weeks I could feel my brain neurons firing like they did at university."
Micaela Kraft
Sensory & Consumer Insights Project Leader
What Our Students Are Saying
Real feedback from professionals upgrading their work with AI in the current cohort.
Carolyn Corbett
Vice President
CSS/datatelligence
“I would 100% recommend this course to both colleagues and clients. It successfully demystified AI and encouraged immediate application, which is essential for real learning.”
Joey Donovan, PhD
Sensory Director
Kantar
“After all the practical experience and what I learned from the course, I've totally changed how I work with AI. I've seriously done things I never thought I could and much of it comes down to this mentality shift.”
Stephen McIngvale
Senior Research Director
InsightsNow
“One of the traits that distinguishes John is the passion and excitement that he has for the subject. That excitement is contagious.”
Carolyn Corbett
Vice President
CSS/datatelligence
“I would 100% recommend this course to both colleagues and clients. It successfully demystified AI and encouraged immediate application, which is essential for real learning.”
Investment Options for Every Journey
Cohort 2 in progress · Cohort 3 starts September 22, 2026
Individual Course Enrollment
Cohort 2 is in progress. Cohort 3 starts September 22, 2026. The cohort uses the same 10-week live format, weekly office hours, and recorded sessions.
Part 1 Only
Part 1: The No-Code Strategist
Weeks 1-5 · Strategic + Narrative Systems
$1,397
- ✓ Data Synthesis & Narrative
- ✓ Privacy-First Prompting
- ✓ Image/Video Generation
- ✓ 5 Weeks Live Instruction
Team enrollment of $5,000 or more can use net-30 invoicing. Ask about team enrollment
Enrollment reserves your Part 1 seat in Cohort 3.
Full 10-Week Journey
Full 10-Week Course
From Data to Deployed App
$2,297
Save $497 vs buying both parts separately
- ✓ Full 10-Week Journey (Part 1 & 2)
- ✓ Shared Seat License (Split with colleague)
- ✓ Master Datakit + Accelerator Toolkit
- ✓ Weekly Office Hours with Dr. Ennis
- ✓ Certificate of Completion
Shared seat license lets one teammate attend Part 1 while another attends Part 2.
Full-course enrollment is open. Cohort 3 starts September 22, 2026.
Part 2 - Weeks 6-10
Part 2: The Low-Code Power User
Technical Build Systems
$1,397
- ✓ AI-Assisted R Coding with Claude
- ✓ Interactive Shiny Apps & API Integration
- ✓ Git, Version Control & Reproducible Systems
- ✓ 5 Weeks Live Instruction
- ✓ Weekly Office Hours with Dr. Ennis
- ✓ Master Datakit + Accelerator Toolkit
- ✓ Certificate of Completion
Team enrollment of $5,000 or more can use net-30 invoicing. Ask about team enrollment
Enrollment reserves your Part 2 seat in Cohort 3.
Every enrollment includes:
- ✓ Live sessions & recordings
- ✓ Private community + weekly office hours
- ✓ Aigora Master Datakit & Accelerator Toolkit
- ✓ Shared seat license support for teams
- ✓ Certificate of completion
Can't make the live cohort?
The full session archive is available on demand, with every transcript, prompt, and dataset. Get the recordings.
Returning Students Get 50% Off
Already completed a previous cohort? Each new cohort features updated content, fresh case studies, and the latest AI tools. Come back and pay half price on any enrollment tier.
Contact us to verify your prior enrollment and receive your discount.
Academic & Non-Profit Discount
We offer special pricing for academic institutions and mission-driven organizations. Contact us to learn about discounted enrollment options.
Valid .edu email or non-profit verification required
Frequently Asked Questions
When does the next cohort start?
Cohort 2 is in progress. Cohort 3 starts September 22, 2026.
When are the live sessions and office hours held?
Live sessions are held Tuesdays, 9:30-11:00 AM ET. Weekly office hours with Dr. John Ennis are offered Thursdays, 10:30-11:30 AM ET and Thursdays, 4:30-5:30 PM ET, so you can join whichever fits your schedule. All sessions are recorded.
What are the technical prerequisites for Part 2?
Part 2 assumes the data science literacy typical of a sensory or consumer scientist — familiarity with data structures, basic statistics, and working with tabular data. No advanced programming background is needed; the course teaches you to use AI as your coding partner across the entire workflow — from building your tech stack and writing R scripts to version control and deploying interactive apps.
Are the sessions recorded?
Yes. Every live session and office hour is recorded and uploaded to the private community within 24 hours, so your team can revisit the material on their schedule. If live timing does not work for you, course recordings and resource access are available separately. Contact us to discuss access.
What if I have limited coding experience? Can I still take Part 2?
Yes. If you have the data science background typical of sensory and consumer scientists — understanding data structures, basic statistics, and working with spreadsheets — Part 2 will meet you where you are. AI does the heavy lifting as your "Pair Programmer," generating code while you direct the architecture and logic. By Week 9 you will have built and deployed an interactive web app.
I work primarily in Sensory Analysis. Is this course too focused on Consumer Insights?
No. The AI methods we teach are agnostic. Part 2 covers how to automate rigorous statistical workflows that sensory analysts spend hours coding manually, build interactive web applications, and deploy data-driven tools for any research domain.
What happens if I miss a live session?
All sessions will be recorded and available on-demand. You can ask questions in the private community forum and during weekly office hours.
How much time commitment is expected per week?
Expect to spend 3-5 hours per week, including live sessions, self-paced learning, and project work.
What software do I need?
All you need is a modern web browser and a stable internet connection. We reference Gemini, Flow, Claude, Copilot, and other mainstream AI tools, but no paid software purchase is required.
Can I pay by invoice instead of Stripe?
Individual course enrollment under $5,000 uses Stripe checkout. Team enrollment at $5,000 or more can be invoiced net-30. Contact us before payment if your procurement team needs an invoice.
I took the course before. Can I get a discount to retake it?
Yes! Returning students receive 50% off any enrollment tier. Each cohort features updated content, new case studies, and the latest AI tools, so there is always something new to learn. Contact us to verify your prior enrollment and receive your discount.
Don't see your question? We're happy to help.
Contact us with questionsStill Have Questions?
Let's have a strategic conversation about how this course can sharpen your team's capabilities.
Step 1
Secure enrollment + access toolkit
Individual course enrollment under $5,000 uses Stripe checkout. Team enrollment at $5,000 or more can be invoiced net-30. Contact us before payment if your procurement team needs an invoice. We send the onboarding kit after payment is confirmed.
Step 2
Join the private community
You'll be added to the cohort workspace, gain access to session recordings, and meet peers ahead of the Cohort 3 kickoff on September 22, 2026.
Step 3
Start with Cohort 3
Join live Part 1 on September 22, 2026, then continue into Part 2 on schedule. If live timing does not work, contact us about recordings and resource access.
Team enrollment of $5,000 or more can use net-30 invoicing through the contact form. We handle your information according to our Privacy Policy.