🚨 NOTE: The next cohort (starts Oct. 20) will be the last in 2025. Don't fall behind -- sign up now!

The challenge in this new AI era: new AI models are released weekly and new applications are released daily. There's so much to learn, yet so little time. Right?

All students receive:

• ♾️ Lifetime access to all materials, including recordings, slides, and projects

• 🎦 6 hours of live Zoom instruction and 3 hours of collaborative Office Hours

• 🏫 22+ projects, worksheets, and resources to turn fluency into best practice

If you're like most ambitious professionals, you're not new to AI.

You try the new models as they're released. You attempt to use the tools daily, whether you're in operations organizing your team's work, a doctor attempting to find and reference a medical study, or an engineer using Cursor. But you know that you're only scratching the surface.

• Your usage feels ad-hoc, high effort, and low ROI. Using AI is a job in itself.

• You don't trust the outputs you get, but you don't know why or how to fix it.

• You see others use AI in a way that gives them superpowers you haven't yet felt.

The AI Fluency Bootcamp is the only course designed for beginners and advanced users alike. Learn model mechanics, AI system design, and agent foundations -- so that you get elite results across any tool or model. You'll be able to use AI more often, better than your peers, and in a way that puts you ahead -- whether you're in a conversational app like ChatGPT or an agentic tool like Claude Code.

300+ students across courses and cohorts, 4.9 stars ⭐

Course Content

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Lesson 1: Inside the Black Box: How LLMs & Transformers Really Think

Understand the fundamentals: how do LLMs really work, and what is the attention mechanism

Steer models by understanding hallucinations, prompt sensitivity, and system design

Compare models and releases by understanding how they are trained, rewarded, and released

Lesson 2: Token-Use Mindset: Future-Proof Mental Models for AI

Master context engineering and a token-use mindset to get 10x better outputs from AI

Choose the right tool for the job with a task-specific mindset for first and third party tools

Add feedback loops to your AI work for almost-automated refinement of your prompts

Lesson 3: Agents: What, How, Today's Reality, Tomorrow's Promise

Understand the architecture of AI agents, how they are built, and why they're magic

Adopt scaffolding strategies that make agents like Claude Code, Lovable, or Manus work 10x harder

Use agentic workflows for non-code and code use cases, regardless of your technical background

Lesson 4: Agents in Practice: Scaffolding, Integration, Evals, & More

Practice building a mini AI agent as a personal, integrated copilot

Experiment with RAG, evals, fine-tuning, multi-modal, and multi-model agent capabilities

Explore long-time-horizon tasks and agentic environments to understand the future of AI

Lesson 5: Your Personal AI Tech Stack: Get and Stay Ahead

Develop your personalized toolkit to help you organize your AI workflows and habits

Adopt a personal AI repo and tech stack to make it easy for you to move between tools & updates

Experiment with image, video, audio, and adjacent AI toolkits for expansive capability

Lesson 6: Future-Proof: Emerging AI Models, Research, and Your Career

Learn about the latest model development, incl. world models, diffusion, and embodied agents

Analyze your career in the OSD framework for the future of work; become truly AI-enabled

Understand key frameworks in AI integration, incl. MCP, A2A, RLHF, and the latest research

PLUS, 2 office hours sessions (1.5 hours each) with Sherveen (who leads all lessons and sessions):

hands-on Q&A, troubleshooting, agent demonstration, project assistance, etc.

Other topics covered:

- Foundational model comparison (GPT-5 Pro, Gemini w/ Deep Think, etc.)

- Use of third party tools (Manus, Gamma, Napkin, Replit, Devin, etc.)

- Functional-area specific models (ex. OpenEvidence, Harvey)

- Image & video gen (incl. Midjourney, Sora, Veo, Kling, Runway, Suno, etc.)

- Nuances between reasoning, agentic, task-based, and primitive models (incl. how to benchmark)

- How to continue to learn and stay ahead an ever-changing AI landscape

It's No-BS as a philosophy. My hot takes incl. (explanations within):

- You should never use Perplexity

- Sometimes, say "love ya" at the end of your prompts

- Everyone should pay OpenAI $200/month

I'll share my theory on the future of work.

And the OSD Framework I've developed to help people get ahead of the curve.

You'll learn about the 3 core muscles I believe every job will distill down to:

• Orchestration, the architect of AI-enabled systems

• Supervision, the human-in-the-loop steering or polishing outputs

• Delivery, the last-mile getting AI value to its end-user

By the end of this course, you'll:

- Be a master of advanced AI use across chat products and agents, capable of integrating them into your workflow, getting results that others won't believe, and understanding the nuances so that you stay ahead with every new model update.

- Be familiar with the latest in frontier, state-of-the-art AI research and product development, understanding the latest in autonomy and long-task evals, world models, and reinforcement learning -- your boss will turn to you whenever AI adoption is on the table.

- Have a personal AI tech stack with tools and methods that will completely revamp how you work, with a deep understanding of how foundational apps, third party tools + integrations, and proper frameworks will make you 10x in your field.

(optional) Projects include:

- 11 'experiences' to turn AI prompt and tooling theory into reality

- 4 projects to experiment w/ AI agents, including code and non-code use cases

- 7 worksheets and challenges to help you build permanent AI muscle and habits

This course is for:

Professionals, builders, operators across industries seeking want durable fluency --

PMs, founders, engineers, designers, analysts, marketers, lawyers, doctors, teachers, chefs, students

And power users who already use AI daily but want 10x reliability, speed, and quality

This course is not for:

- People seeking a prompt template library

- Those who want tutorials for yesterday's tools (like n8n or Zapier)

- Individuals who don't care about how it works, and just want the shortcuts

The point is...

Most courses teach you what to say to an AI chatbot. This course teaches you how to think about AI foundationally. It's the difference between learning to order coffee in French versus understanding why French speakers structure their thoughts the way they do.

Want a taste of the course? Check out my video on why I think you're being lied to about AI agents: https://youtu.be/MoMxKF5duXI