
10-Week Course
The AI-Powered Strategist
Learn to create living research systems that move stakeholders beyond static decks.
Cohort 2 Begins: April 28, 2026
Cohort 2 — Now Enrolling
Our first cohort graduated in Q1 2026. Cohort 2 begins April 28, 2026.
Full Course: $2,297 | Individual Parts: $1,397 each
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After 10 Weeks, You Will
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
Enrollment
Cohort 2 starts April 28, 2026. Enroll now to secure your seat.
Early Bird Pricing - Limited Time
Part 1 - Weeks 1-5
The No-Code Strategist
Strategic AI mastery, no coding required
Full 10-Week Journey
Full Course
Save $497 vs buying both parts
Part 2 - Weeks 6-10
The Low-Code Power User
Build and deploy interactive web applications with AI
Every enrollment includes live sessions, toolkit access, weekly office hours, and certificate of completion.
View enrollment optionsFormat
10-week experience — 90-minute live session each week. Cohort 2 begins April 28, 2026.
Support
Weekly office hours with Dr. Ennis — bring your own questions and learn in real time. Plus join 50+ professionals in the private LinkedIn group from Cohort 1 for ongoing networking and knowledge sharing.
Commitment & Prereqs
Plan for 3-5 hours per week. Part 1 has no prerequisites; Part 2 welcomes consumer scientists to AI-coding.
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.
AI PIONEERS SINCE 2019
Aigora has published or presented at international conferences with
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
Head of Education, 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.

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 Starts: April 28, 2026 | Limited Seats Available
Individual Course Enrollment
Our first cohort graduated in Q1 2026. Every option below reserves your seat in Cohort 2, beginning April 28, 2026.
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
Prefer invoice terms? Contact us
Enrollment reserves your Part 1 seat in Cohort 2.
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 for Cohort 2 beginning April 28, 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
Prefer invoice terms? Contact us
Enrollment reserves your Part 2 seat in Cohort 2.
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
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 begins April 28, 2026. Our first cohort graduated in Q1 2026, and enrollment is now open for the next round.
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.
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?
Yes. Stripe checkout is the fastest path, but if your procurement team needs invoicing we can issue Net-10 terms. Just contact us through the form before submitting payment.
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 questionsFree Resource
Need Approval From Management?
Copy this prompt into any AI assistant and it will walk you through a guided conversation to draft a persuasive, personalized business case for your manager.
Step 1
Copy the prompt below using the button
Step 2
Paste it into your preferred AI assistant (Claude, ChatGPT, Gemini, Copilot)
Step 3
Answer the questions it asks about your role and situation
Step 4
Get a tailored letter you can send to your manager today
You're going to help me draft a business case requesting approval (and budget) to enroll in the Aigora "AI for Sensory and Consumer Science" course. But before we write anything, I need you to work with me through a structured discovery process so the letter is specific, persuasive, and tailored to my situation. About the course: It's a 10-week, live, instructor-led program taught by Dr. John Ennis (CEO of Aigora, PhD in Mathematics, 50+ publications, 4 books on sensory science) and Dr. Vanessa Rios de Souza (Head of Education at Aigora, 70+ publications, co-author of "Data Science for Sensory and Consumer Scientists"). The course has two parts: Part 1 (Weeks 1-5) covers AI strategy, prompt engineering, and multimodal storytelling with no coding required. Part 2 (Weeks 6-10) covers AI-assisted data science, R programming, Shiny app deployment, and API integration. Students in Cohort 1 reported reducing standard descriptive analysis reports from 4 days to under 4 hours. The Full Course enrollment includes a Collaborative Team License that covers two people for $2,297. Step 1: Learn About Me Start by asking me the following, one natural exchange at a time. Don't dump all the questions at once. Have a conversation. - My name, title, and department - The organization I work for and roughly how large it is - What my core job responsibilities are, especially anything involving sensory evaluation, consumer research, data analysis, or reporting - Who the letter will be addressed to (my manager, VP, L&D, a committee) and what matters to them - Whether I'd be enrolling solo or using the Shared Seat License with a colleague - Whether my organization has sent people to professional development before, and what the typical approval process looks like - Whether there are specific pain points in my current workflow (slow reporting, manual data cleaning, stakeholder presentations that fall flat) Step 2: Build the Business Case Once you understand my situation, help me construct arguments across these dimensions. Draw on what you've learned about my role and organization. Productivity and efficiency: - Specific tasks that currently take hours but could take minutes with AI assistance - The "4 days to 4 hours" benchmark from Cohort 1 for standard descriptive analysis reports (ANOVA, PCA biplot, product summaries, executive narrative) - Automation of repetitive analysis, reporting, or data cleaning - Return on investment: hours saved per month versus course cost Skill development and strategic value: - This is the only AI course designed specifically for sensory and consumer scientists - Taught by the recognized leaders in the field, not generic AI instructors - Practical skills from Week 1, not theory-heavy content that never gets applied - Part 2 students build and deploy actual interactive web applications - Cohort 1 graduates are already using these skills daily Risk of inaction: - AI adoption in consumer insights is accelerating; teams that wait will fall behind - Competitors are already investing in AI capabilities for their research teams - Building internal AI capability is cheaper and more sustainable than hiring consultants or buying point solutions Privacy and compliance (important for regulated industries): - All training uses mock datasets; no proprietary data leaves the organization - SOC 2 Type II certified infrastructure with a zero-persistence posture - Students keep all scripts, tools, and code they build - The course teaches responsible AI practices including hallucination detection and the Permission/Proprietary/Approved security framework The team license angle: - Full Course enrollment covers two people for $2,297 total - One person can attend Part 1 while a colleague attends Part 2, then they cross-train each other - This doubles the organizational impact for the same investment Step 3: Write the Letter Now draft the letter. Follow these rules strictly. Structure and persuasion: - Lead with a concrete problem or opportunity the reader cares about, not with the course itself - Frame every benefit in terms of business outcomes, not course features - Include a brief cost-benefit sketch with rough numbers based on my actual work - Mention the Shared Seat License if I'm planning to use it - End with a clear, specific ask and a suggested next step (a quick meeting, a trial approval, a call with Aigora) - Keep it to one page if possible, two at most Writing quality. Make it sound like a real person wrote it: - IMPORTANT: Don't use em-dashes or emojis at all - Write the way a thoughtful professional actually talks: direct, confident, specific - Vary sentence length. Mix short punchy statements with longer explanatory ones. - Use concrete examples from my actual work, not generic business language - Avoid these giveaway phrases: "leverage," "utilize," "in today's rapidly evolving landscape," "it's important to note that," "streamline workflows," "empower teams," "I hope this message finds you well," "I wanted to reach out," "please don't hesitate to" - Don't hedge everything. If something is clearly true, state it plainly. - Use contractions naturally where a real person would - If you catch yourself writing a sentence that could appear in any business letter at any company about any topic, delete it and write something specific to my situation - Read it back: does it sound like something I would actually say to my boss in a meeting? If not, rewrite it until it does Step 4: Review Together After drafting, ask me: - Does this sound like me? What would I say differently? - Is anything missing about my specific situation? - Is the tone right for my reader? - Should we add anything about how I'd share what I learn with the broader team? Then revise based on my feedback. This meta-prompt was developed by Dr. John Ennis and the Aigora.ai team as a resource for prospective students of the AI for Sensory and Consumer Science course.
The prompt will guide the AI through a structured conversation to learn about your specific situation before writing anything. The result will sound like you, not like a template.
Still Have Questions?
Let's have a strategic conversation about how this course can sharpen your team's capabilities.
Step 1
Secure enrollment + access toolkit
Stripe (or Net-10 invoice via contact form) confirms your seat. We send the onboarding kit immediately.
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 2 kickoff on April 28, 2026.
Step 3
Go live April 28, 2026
Live sessions, office hours, and shared seat options begin the week of the official start date.
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