The Mini AI MBA is a two-day, hands-on workshop designed to help you transform a rough business idea into something real—and do it fast. Instead of digging through heavy theory, you’ll learn by rolling up your sleeves and actually building. You’ll use advanced prompting to clarify your ideas, rely on retrieval-augmented generation (RAG) to uncover quick market insights, and explore multi-agent frameworks that streamline your decision-making. By the end of the weekend, you won’t just have an idea in your head, you’ll have tested it with real feedback, improved it based on that input, and crafted a go-to-market plan that’s ready to roll. Plus, you’ll walk away with a pitch deck that makes a strong case to investors and partners.

What sets the Mini AI MBA apart is its focus on helping you discover and apply these tools directly, not just talk about them. Instead of hours of lectures, you’ll get practical, guided experience as you build, adapt, and refine your concept on the spot. When Monday arrives, you’ll have something tangible: a tested idea, the confidence to act, and a clear path forward. It’s your chance to start turning “maybe someday” into “let’s make it happen right now.

Why learn from us?

When you learn from Malcolm and Davide, you’re tapping into a unique blend of AI innovation and serious business acumen. Malcolm’s track record includes delivering 50+ AI workshops in just six months for a range of industries—from consumer health to pharma and even oil and gas—so he’s well-versed in transforming cutting-edge tech into measurable impact, even in the most challenging corporate environments. He’s done it for global players like Microsoft, Nestlé, and Johnson & Johnson, and has co-founded ventures like coatingAI and werchota.ai that prove his solutions are both practical and profitable.

Davide, meanwhile, brings the disciplined, strategic thinking of an MBA professor combined with the practical, growth-oriented mindset of a startup mentor and investor. As a lecturer at Esade and co-founder of Esade’s eWorks program, he’s guided early-stage ventures toward sustainable growth. His investment work with Kili Ventures extends across African tech ecosystems, ensuring his perspective is grounded in diverse, real-world challenges. Together, they’ll show you not just the “what” of AI adoption, but the “how”—from market validation to pitching investors with confidence. You’ll learn to navigate the fast-moving landscape of AI without getting lost in the hype, and you’ll gain the business frameworks needed to turn innovation into lasting value. If you want guidance that’s both forward-looking and firmly grounded in real-world success, you’re in the right place.

What the bootcamp will look like:

Day 1 (4 hours live workshop + one optional Q&A session)

- Map Your Market in Minutes: Use LLMs and AI-based search to quickly identify competitor gaps and underserved segments.

- Validate Ideas Instantly: Prompt AI personas to stress-test your business concepts from multiple perspectives (customer, investor, founder) before you invest time and money.

- Turn Feedback into Action: Highlight themes like “pricing confusion” or “setup complexity” instantly with tools like tl;dv and Graph RAG, eliminating hours of manual analysis.

- Refine Your Value Proposition on the Fly: Generate multiple variations of your pitch and stack them against competitor features, adjusting continuously based on automated insights.

- Automate Data Flows: Integrate Zapier and other tools so that new data and transcripts automatically feed into your decision-making, saving hours of manual updates.

Day 2 (4 hours live workshop + one optional Q&A session)

- Test Multiple MVPs Simultaneously: Spin up landing pages and prototypes using Cursor or other AI builders, measure engagement with automated analytics, and iterate based on real-time feedback.

- Accelerate Go-To-Market Strategy: Leverage AI-driven campaign management, dynamic keyword research, and automated content creation (including video via HeyGen) for fast, optimized customer outreach.

- Refine Messaging Continuously: Use ongoing data streams and AI personas to tweak your marketing and sales pitches as feedback rolls in, ensuring you resonate with your target audience.

- Data-Backed Investor Pitching: Practice against AI investor personas, polish your narrative, and test multiple financial scenarios before you face real VCs.

- Walk Away With Tangible Results: Leave the workshop with validated concepts, a ready-to-launch marketing plan, solid investor materials, and early customer signups or pre-orders.

AI concepts you will learn and apply

In a world where OpenAI drops updates daily and Google's Gemini keeps leapfrogging capabilities, yesterday's AI playbook is already outdated. Success isn't just about knowing the tools—it's about building systems that evolve as AI evolves. This course teaches you how to surf the wave of constant innovation, not get swept away by it.

You'll master:

Advanced LLM Orchestration

- Chain specialized prompts across ChatGPT, Claude, and Gemini

- Extract precise insights for product development

- Test pitches against AI-simulated investor panels

- Build self-improving feedback loops

Real-Time Knowledge Systems

- Deploy RAG systems for live market intelligence

- Build Graph RAG networks for complex market analysis

- Create automated research pipelines that learn over time

- Transform customer calls into actionable insights instantly

Multi-Agent Frameworks

- Combine Perplexity AI and other AI search tools for parallel research

- Automate competitor analysis across multiple dimensions

- Generate and validate ideas at unprecedented speed

- Create AI agents that work while you sleep

Rapid Prototyping & Testing

- Build and test landing pages using AI-enhanced tools

- Simulate diverse customer segments with precision

- Create MVPs that evolve based on AI-gathered feedback

- Deploy automated A/B testing systems

Building AI Systems That Scale

- Create financial models that update with market changes

- Develop self-optimizing sales scripts

Creating a Culture of AI Experimentation

- Build processes for quick integration of emerging models

- Develop protocols for responsible AI testing

- Structure team workflows around AI-driven insights

Wondering how to stay ahead in this fast AI world?

Each week brings new models, features, and capabilities. Success isn't about knowing every tool—it's about building systems and cultures that thrive on constant evolution. You'll learn to create architectures that absorb new AI advances naturally and teams that turn every AI update into a competitive advantage.

The real value isn't in any single AI tool—it's in creating an organization that gets exponentially stronger with every AI breakthrough. When others are still reading about the latest update, your systems will already be integrating it.