If you're like many ambitious professionals, you're not new to AI. You use the tools, follow the news, and see the potential. Yet, you feel a persistent gap between your current usage and what's truly possible. You probably recognize these challenges:

1. Your AI usage feels ad-hoc. You can write impressive prompts and accomplish isolated tasks, but you lack a systematic way to build reliable, scalable solutions that integrate into complex workflows. You see impressive demos online but don't have a clear path to building them yourself.

2. You're struggling to distinguish signal from noise. The relentless stream of new models, research papers, and "ultimate guides" is impossible to keep up with. You worry that you're investing time in learning skills and tools that will become obsolete in a few months. You need a way to identify the foundational principles that last.

3. You see a massive career opportunity but aren't sure how to seize it. You don't just want to be a user of AI; you want to be the person who can confidently lead projects, architect solutions, and guide your team. You want to become the go-to expert, but you need a structured path to get there.

If this sounds familiar, it's because you've moved beyond the beginner stage. You're ready to tackle the next set of challenges, and that is precisely where our course begins. It is built on a single yet prfound premise: the most effective way to master AI is to build with it. We teach you how to create practical applications and then connect them to the underlying research. This ensures you not only know how to build, but why your solutions work, allowing you to adapt to any new tool or model in the future.

More importantly, build with AI energizes you to keep learning, develops your taste, and enables you to seize opportunties.

What You Will Be Able to Do

This course is about acquiring practical capabilities. By the end of this course, you will be able to:

1. Build and Deploy Functional AI Prototypes You will move from ad-hoc prompting to engineering reliable systems. You will learn to write code that integrates LLMs with other tools and data sources to solve real-world problems. Specifically:

- Build a Q&A bot over your own documents (e.g., Confluence, internal wikis) using AI native methods beyond RAG.

- Create automated workflows, such as generating a weekly summary report from Jira tickets or processing inbound emails.

- Connect AI to external tools and APIs to perform actions, moving beyond simple text generation.

- Evaluate, debug and improve the output of LLMs in a systematic way.

2. Develop a Durable Framework for Learning New Concepts You will learn how to distinguish between temporary trends and fundamental principles. This will enable you to learn effectively, cut through the noise, and focus on what truly matters. Specifically:

- Understand the core mechanics of LLMs, such as context windows and attention, and how they impact performance.

- Confidently assess new AI models, papers, and tools to determine their actual value for your work.

- Develop a first-principles approach to prompt engineering, moving beyond simple templates.

Identify the inherent limitations of current AI (e.g., hallucination, reasoning failures) and design systems to mitigate them.

3. Become the Go-To AI Strategist in Your Role You will gain the confidence and clarity to lead. This course provides the structure to not only enhance your own work but also to guide your team and organization. Specifically:

- Identify and scope high-value AI opportunities within your own business workflow.

- Lead an AI project from an idea to a working prototype.

- Clearly articulate the capabilities, costs, and limitations of a proposed GenAI solution to stakeholders.

- Establish best practices for integrating AI into your team's existing processes.

How You Will Learn: A System for Mastery

Our course is a comprehensive system designed for deep, practical learning. It combines live instruction, hands-on application, and an extensive knowledge base to ensure you can build with confidence.

1. Live Sessions: The Core Framework Your learning is anchored by four hours of live sessions. These sessions are not about a collection of tricks; they are designed to give you a durable mental framework. We distill the most critical information on how AI works, teach you how to learn effectively in this rapidly changing field, and provide concrete principles to guide you from your first line of code to a functional application. The goal is to equip you to push through challenges and build with sound judgment.

2. Projects & Office Hours: Real-World Application Knowledge is solidified through hands-on projects and direct support. You will work on building applications relevant to your daily work, pushing past self-imposed limitations to see what is truly possible. In our office hours, we provide personalized guidance to unblock you and demonstrate advanced problem-solving in real-time. We use cutting-edge tools like Cursor and Claude Code to build solutions live, showing you how to leverage the most powerful development workflows available today.

3. Reference Materials: A Library for Builders Your learning is supported by an extensive library of original materials. Developed with over 300 hours of effort and spanning more than 200 pages, this resource is your detailed guide for independent building. It is continuously updated to stay current. When you encounter a specific problem weeks or months after the course, this library is designed to give you the concrete answers and guidance you need to solve it.

Join a Professional Network of 5,000+ AI Builders

Your enrollment includes lifetime access to our private network. This is a community for sharing technical solutions, discussing new research, and advancing your career alongside other serious practitioners. The community has a dedicated Q&A section and we will answer your questions there even after the cohort.

Ready to Build?

We recommend the immersive experience of our cohort-based course. A self-paced version is also available if your schedule requires flexibility at https://www.superlinear.academy/c/ai/. All Maven stduents receive complimentory access to the self-paced version, and lifetime update of new course materials.