AI Makerspace

The AI Engineer Challenge: Build an End-to-End LLM App

FourthBrain

University of Dayton

Fannie Mae

"Dr. Greg" Loughnane, Ph.D.

Co-Founder & CEO @ AI Makerspace

Katerina “KatGPT” Gawthorpe, Ph.D.

Co-Founder @ eve.ai | Econometrics @ Fannie Mae | Instructor @ AI Makerspace

From version control basics to an hitting an LLM API, vibe coding a front end, and deploying to a public URL!

Zero to one with a best-practice E2E prototyping stack

Learn every steps you need to quickly spin up simple prototypes with open-source tools and without no-code solutions.

The fastest way to onramp into building and shipping apps

We will simply wrap an LLM with a front end and a back end, using a real AI Engineering development environment.

Learn to get started with end-to-end prototyping

🧑‍💻 ON CODING AS AN AI ENGINEER- Do you code every day?- If not, are you committed to coding every day as an AI Engineer? If the answer to both of these questions is "No," this class is not for you. 💼 ON LEADING AI ENGINEERING TEAMS- Do you manage a team of people that writes code every day? If "Yes," this class might be for them. ------ 🌍 **EXPANDED CAPACITY AND INTERNATIONAL TIME ZONES FOR COHORT 7** Section 01: Live Sessions are Tuesday/Thursday 7-9 PM Eastern Time (ET), led by Dr. Greg &amp; The WizSection 02: Live Sessions are Tuesday/Thursday 7-9 PM Central European Time (CET), led by International Instructors Let us know which section you're applying for in your application! **KEY CURRICULUM UPDATES FOR COHORT 7** 🔴 [Deprecated]- Classic LangChain RAG Chains (in favor of most up-to-date LangGraph implementation)- Fine-Tuning of LLMs &amp; Embedding Models (we now consider these techniques table stakes ... learn LLM Engineering for free @ bit.ly/llm-engineering)- Chainlit for Front Ends (no longer a best-practice tool for creating front-ends)- Hugging Face Spaces (no longer a best-practice deployment tool for quick POCs)- Hugging Face Inference Endpoints (no longer the easiest way to deploy high performance open LLMs and embedding models endpoints) 🟢 [New Additions]- A custom AI Makerspace MCP server integrated into Cursor that has all of the docs and tools that we'll use in the course!- Model Context Protocol (MCP) &amp; Agent2Agent Protocol (A2A)- Vercel for quick end-to-end POC deployments- Together.ai for quick deployment of Llama-3.3-70B-Instruct-Turbo and open embedding endpoints- A focus on vibe-coded custom front ends with React (or other) framework- OpenAI Agents SDK (released March 2025)- Code agents with Hugging Face's Smol Agents Framework (released ~Jan 2025)- CLI Coding Agents with Codex (released April 2025)- Computer Use Agents with OpenAI's Responses API (released March 2025) ------ OUR COMMUNITY🏗️ 🚢🚀 AI Makerspace is on a mission to create the world's leading community for people who want to build, ship, and share production LLM applications. Welcome! We invite you to join our close-knit AI Makerspace community on YouTube (learn live weekly with us for free at 10 AM PT on Wednesdays!) or Discord to start building, shipping, and sharing with us today! https://aimakerspace.io/ OUR COURSEThe AIE Bootcamp is truly a bootcamp. It's hard. It's a grind. But it will transform you! It will get you comfortable thriving at "The LLM Edge" and beyond. Our students don't just learn; they transform! Plus, every cohort culminates in a live Demo Day experience! Many of our graduates have launched entirely new startups based on their demo day presentations! To hear our student's stories and for a quick glance at all the tools you'll master, check out the following link now! https://aimakerspace.io/the-ai-engineering-bootcamp/ OUR ETHOSBuild 🏗️, Ship 🚢, Share 🚀! This is the secret to success in a 21st-century workforce, and you will live this every class, every week of the cohort! 🧑‍🤝‍🧑 Specifically, you will get hands-on experience building and sharing complex LLM and agentic applications weekly, receiving constant feedback during live sessions and through your homework submissions via instructors, peer supporters, and your fellow cohort members. 🙋 WHAT ARE THE PREREQUISITESYou must be familiar with Python programming, prompt engineering, and data science. Learn more about prerequisites here: https://bit.ly/aie7-prereqs 🙋 How will I know if it's right for me? If you're unsure if this course be a fit for you, you'll find tons of resources on this page to help you decide, including: 📜 Curriculum &amp; Detailed Schedule: https://bit.ly/aie7-curr🤩 Demo Day Videos (from cohort 5): https://bit.ly/aie5-demos🎤 Student Interview Videos: https://aimakerspace.io/category/transformations/ Here are a few long-form pieces of writing about the student experience:- Richard Gower, Cohort 3: https://bit.ly/aie-cohort-3-reflections- Ches Roldan's "20 Tips to Survive AI Makerspace’s AI Engineering Bootcamp (as a non-technical person)": https://bit.ly/aie-20tips 💰 How much do the tools cost? Don't worry! This course is for the GPU-poor among us! This course adapts to industry-standard open-source software and compute hardware and is cloud platform agnostic. We strive to keep your additional costs low (below ~$100 total). Check Q&amp;A for more info!** WHO HAS TAKEN THIS COURSESince its launch in January 2024, over 250 people have taken the course! The most successful participants have been Software Engineers and Developers or Data Scientists and Machine Learning/AI Specialists, indicating a focus on analytics, modeling, and artificial intelligence. Here is a list of companies whose employees have already taken the course: Google, Meta, Microsoft, Amazon, Samsung, Salesforce, IBM, Oracle, Bloomberg, Deloitte, Atlassian, SAP, Infosys, ServiceNow, Shopify, NetApp, Autodesk, Jio Platforms, JP Morgan Chase (JPMC), Walmart, Chevron, Expedia, NTT Data, Ernst &amp; Young, Fannie Mae, National Grid, State Farm, USAA, BMO, TD Bank, Mercer, Kiewit, BP, CVS, Safran, Appian The most important thing for anyone taking the course is to take it seriously. This advanced course requires commitment, debugging, resilience, and tenacity. These personal attributes matter much more than your current company or job title. Whether you're coming from a software engineering or data science background, to be a world-class AI Engineer, you'll need to know both. This class will teach you the lego blocks of building production-grade LLM applications software as an AI-Assisted Developer. This is where your journey begins! WHAT STUDENTS (REALLY) SAID ABOUT COHORT 5:We collect feedback every single class. Here is an analysis of the 160 pieces of feedback that we received on the question "Is there anything else you'd like to share with us?" that we asked at the end of each of the 20 live sessions, completed by ChatGPT with the o1 model in April, 2025. Highly Positive Themes- Students repeatedly praise the instructors’ expertise and clarity.- Many love the breakout rooms, citing them as a key differentiator from other courses.- There is strong enthusiasm about practical coding sessions, community support, and peer supporters.- Several comments mention that they are already deploying real applications and seeing immediate value, which is a significant selling point for future students. Neutral or Constructive Feedback- A few suggestions for improving logistics (e.g., link consistency, environment setup, more thorough instructions).- Requests for additional examples and smaller breakout groups.- A handful of people struggled with first-class onboarding or missed classes due to personal constraints. Negative or Dissatisfied Feedback- Some frustration around external tool links (Discord, GitHub) not working seamlessly.- Occasional complaints about environment setup challenges.- A single extended critique about missing the first day and feeling lost initially, but that student did eventually get on track. We are always working to improve our product, our student experience, and our processes! You can count on the fact that we've taken the feedback into account for Cohort 6 and beyond! Here were the top 10 direct quotes: 1. “One of the best lessons I’ve ever had. The instructor’s level of expertise is high and his communication is extremely easy to understand. I have grasped all the concepts.”2. “This session was pure gold, seeing actual applications, really nice!”3. “I am having lots of fun and learning. LOVE THE ENERGY! Let’s go.”4. “The breakout rooms are absolutely fantastic. Peer Supporters are bae.”5. “The breakout rooms are just so good – easily sets it apart from 90% of other courses out there.”6. “It was a great session today. Super helpful and getting clearer. Amazing job everyone. Love this!!!!”7. “I have deployed and built a number of applications right from the first sessions of the course. Knowledge also helps me in self-study and research.”8/ “This class was worth every dollar, thank you guys!”9. “Thank you for an amazing ride! &lt;3”10. “I complained last time about the breakout rooms not being long enough and the lectures being too long. This time I think the ratio was GLORIOUS PERFECTION!”

Prototype agent apps and get them into Production. Ship fast and keep data safe.

Course syllabus

<ul><li>W1: June 24th, 26th</li><li>W2: July 1st, 3rd</li><li>W3: July 8th, 10th</li><li>W4: July 15th, 17th</li><li>W5: July 22nd, 24th</li><li>W6: July 29th, 31st</li><li>W7: August 5th, 7th</li><li>W8: August 12th, 14th</li><li>W9: August 19th, 21st</li><li>W10: August 26th, 28th</li></ul> * All sessions are recorded!

Tuesdays & Thursdays

Each class period, we will get hands-on with Python coding homework!

Weekly Programming Projects

Open to the public - Friends, family, coworkers, and bosses welcome! <a href="https://www.youtube.com/playlist?list=PLrSHiQgy4VjGG6wvPyIPoBnH2iqjtLY68" rel="noopener noreferrer" target="_blank">AIE5 Demo Day YouTube Playlist</a><a href="https://www.linkedin.com/events/7305318024528478208/comments/" rel="noopener noreferrer" target="_blank">AIE5 Demo Day Event</a><a href="https://www.notion.so/AIE5-Demo-Day-Run-of-Show-1b5cd547af3d805e8bb7d049413ee129" rel="noopener noreferrer" target="_blank">AIE5 Demo Day Run of Show</a>

Demo Day!

Dr. Greg: Thursdays @ 10 AM PTThe Wiz 🪄: Fridays @ 3 PM PT

Instructor Office Hours

We typically cover 6-7 days per week with 1 or more office hours held by peer supporters!

Peer Supporter Office Hours

Course schedule

Software engineers and developers who want to build, deploy, operate, and improve LLM apps in production environments.

Data scientists and ML engineers/specialists who want to build, deploy, operate, and improve LLM apps in production environments.

Who is this course for

What you’ll get out of this course

A vibe coder won't take your job. An AI-assisted developer will.

🧑‍💻 Become an AI-Assisted Developer

Work with certified AI Engineers in dedicated small Journey groups to discuss and code throughout the cohort!

🧑‍🤝‍🧑 Peer-Supported Live Coding

You will present a unique project live to a cohort of your peers and the public!

🤩 Demo Day!

We're always at <a href="https://newsletter.aimakerspace.io/" rel="noopener noreferrer" target="_blank">The LLM Edge</a>&nbsp; with the latest concepts, code, tools, techniques, and best practices!

🕴️ industry Leading Curriculum

Certified AI Engineers get direct access to job opportunities from our network

💼 Hiring Opportunities

Become an AI Engineer in the world's leading community for people who want to build, ship, and share production LLM applications 🏗️🚢🚀.

Cohort 7

"Dr. Greg" Loughnane

Chris "The Wiz 🪄" Alexiuk

Co-Founder & CTO @ AI Makerspace

AIE6

Cohort 8

Have you seen other PMs leveraging AI to ship prototypes at lightning speed , but when you try it yourself:- Basic tutorials leave you stuck on simple examples ?- Technical obstacles slow your momentum ?- Debugging feels impossible without coding experience ?- You're unsure which AI tools actually deliver value ? You know mastering AI prototyping could transform your workflow. But the path from curiosity to confidence isn't clear. With AI, you can build functional prototypes in minutes. The challenge with AI prototyping isn't getting started — it's understanding what these tools can and can't do. That’s why this cohort is designed to expose you to essential AI prototyping tools and their unique capabilities. You'll learn to debug issues (even without coding experience) to stay productive and deliver real value. And our community will be here to give you the support, guidance, and accountability you’ll need to finally stick with it. In just 4 weeks, you'll go from zero experience to shipping multiple prototypes -- from interactive prototypes to accompany your PRD, to personalized tools that boost your productivity. Now imagine if you could: ✅ Ship prototypes in hours without getting stuck in an infinite loop ✅ Learn how software applications work by building them ✅ Build personalized software to fit your exact needs ✅ Master advanced concepts like integrations to supercharge your prototypes Getting started is easy. 1️⃣ Begin with my 5-day email course to build your first AI prototype this week (sign up below!) 2️⃣ Join the 4-week cohort to master AI prototyping tools, debug common issues, and integrate with other apps in minutes&nbsp; 🔥 All alumni can stay up to date with our private community with weekly demos, 1:1 support, and more! 📣 Live sessions are at 1PM EST and 5PM EST! You can pick whichever works best for you! All live sessions are recorded. 🎉&nbsp;Bonus:&nbsp;When you enroll in this course, you’ll receive $1,395 in free credits to level up your workflow with Superhuman, Linear, Sprig, Dovetail &amp; Gamma PLUS one month sponsored with Replit Core &amp; Bolt Pro (see FAQ for details) Interested in an enterprise license so your whole team or company can take the course? Please reach out directly to colin@techforproduct.com

Convert your PRD to a prototype in minutes

Get 1:1 help with your prototypes and questions

Office Hours

Live, interactive sessions where we dive deeper into AI prototyping and go through scenarios

Live Sessions

Complete a weekly project to apply what you've learned

Weekly projects

Senior Product Managers who want to leverage AI to iterate faster

Product Leaders who want to get first-hand experience with how AI is transforming product development

UX Designers who want to translate their designs into functional prototypes the same day

Master cutting-edge AI tools like Bolt, V0, Replit, and Claude to accelerate your development process. You'll learn practical workflows that go beyond basic prompts to create functional prototypes.

Learn to use AI prototyping tools

Get hands-on experience building real-world applications, from simple MVPs to complex features. Through guided projects, you'll develop a portfolio of working prototypes that demonstrate tangible AI development skills.

Build 5+ prototypes in 4 weeks

Develop a mental model of how modern applications are structured and how different components work together. This foundation helps you make better architectural decisions and communicate more effectively with developers.

Build a fundamental understanding of how software works

Learn systematic approaches to troubleshoot common AI coding issues and improve your prototype quality. You'll master techniques for error handling, prompt optimization, and code refinement that help you build production-ready features.

Discover 6 strategies for debugging to get high-value apps

Connect your prototypes to popular platforms and APIs without complex setup. You'll learn streamlined integration patterns that work with tools like Slack, Google Sheets, and your existing product stack.

Integrate with your favorite tools in minutes

Get direct access to an experienced PM and builder (me!) who can help you resolve technical and product challenges.

Weekly office hours and Q&A

Build your first AI prototype next week -- even if you have no coding skills

Colin Matthews

Sold my first SaaS in 2021. Product Manager, 8500+ students, featured by Lenny.

Cohort 4

Cohort 5

If you’re a software engineer or data scientist, chances are you’ve built or seen a proof of concept (POC) for a generative AI app. It’s exciting at first—an impressive demo that showcases the potential of large language models. But here’s the problem: that’s where it usually stops. These POCs often fail to scale into reliable, production-ready applications. The result? Endless iteration cycles, unreliable outputs, and frustration as teams struggle in what we call “POC purgatory.” It doesn’t have to be this way. With the right principles, processes, and workflows, you can build LLM applications that work in production – without overcomplicating pipelines or chasing trends. This course focuses on the iterative development, evaluation, and debugging practices that make AI systems production-ready. We’ll explore tools like RAG, embeddings, and agents, but the emphasis is on building scalable, robust systems – ensuring you leave with the mindset and skills to adapt as the technology evolves. You’ll not only learn how to design, test, and deploy generative AI applications, but also how to iterate and improve rapidly. This isn’t just about building something cool – it’s about creating AI systems that solve real problems, deliver real value, and scale with confidence. What to ExpectThis is a highly interactive course designed to get you results. Across live workshops, discussions, and hands-on projects, you’ll build your skills while solving real-world challenges. •	Live coding sessions to design and refine LLM applications.•	Iteration exercises to explore how small changes can dramatically improve reliability.•	Discussions on user-centric development and integrating feedback loops.•	Expert-led Q&amp;As to help you tackle your toughest challenges. What You’ll Learn •	How to transform POC demos into production-grade applications.•	Strategies for managing non-determinism and optimizing outputs through prompt engineering.•	How to monitor, log, and debug AI systems to ensure reliability and performance.•	Best practices for handling structured outputs and integrating function calling into your applications.•	Building workflows for iterative development and experimentation.•	Practical skills through hands-on app development, including creating a Generative AI app to query PDFs. Bonus Perks All students will receive -&nbsp;$500 in Modal credits&nbsp;for cloud compute – giving you resources to power real AI applications.- $300 in Google Cloud and Gemini credits for the first 100 registrants.- More credits to be announced soon! Guest lectures Learn directly from leading practitioners solving real AI problems in production. These sessions focus on practical workflows, debugging strategies, and building scalable systems – not just theoretical research or cutting-edge multi-agent architectures. Enrolling will also give you access to all recorded guest lectures from previous cohorts of this course: - Hamel Husain (Ex-Airbnb, GitHub) – Basic Data Literacy for Debugging and Evaluating LLMs&nbsp;- Swyx (Latent Space podcast, smol.ai, ai.engineer): Engineering AI Agents in 2025- Sander Schulhoff (CEO, LearnPrompting.org) – Prompt Engineering in the LLM SDLC&nbsp;- Charles Frye (Developer Advocate, Modal) – Hardware for LLM Developers- Ravin Kumar (DeepMind) – End-to-End LLM Product Development This Course Is For •	Data scientists and machine learning engineers who are sick of unreliable POCs and want to ship reliable LLM applications.•	Software engineers who want to learn how to build generative AI systems and master the LLM software development lifecycle. This Course Is Not For Those •	Looking for an introductory course in AI—some programming knowledge is required.•	Expecting ready-made solutions for AI problems without active participation.•&nbsp;Expecting deep dives into advanced evals, multi-agent systems, or large-scale RAG pipelines. This course emphasizes building and iterating on practical, production-ready systems.•	Unable to commit to hands-on projects, live discussions, and iterative development exercises. Why Take This Course By the end of this course, you’ll: •	Understand the first principles of generative AI development.•	Gain hands-on experience building robust, scalable applications.•	Learn how to troubleshoot, monitor, and optimize AI systems for production.•	Develop workflows to iterate and refine AI applications effectively.•	Leave with the confidence to deploy reliable AI systems at scale.

Master the patterns and processes that underpin successful GenAI app development

Tuesdays and Thursdays

To ensure hands-on practical time, there will be project work to complete throughout the course.

Data scientists, machine learning engineers who are sick &amp; tired of seeing and building prototypes &amp; want to ship reliable LLM applications

Software engineers who want to learn how to build Generative AI systems and learn the LLM software development lifecycle.

You’ve seen impressive generative AI demos—but how do you take them to production? In this course, you’ll learn the exact workflows, tools, and engineering practices needed to turn concepts into reliable, scalable applications that deliver real value.

Move beyond POCs and build production-ready AI systems

Struggling with inconsistent outputs? Through interactive exercises, you’ll explore proven techniques for optimizing prompts and ensuring your AI delivers actionable results in production settings.

Master prompt engineering for reliable results

When your AI application breaks, you’ll know exactly how to fix it. We’ll walk you through real-world debugging sessions, monitoring techniques, and tools to ensure your systems stay reliable at scale.

 Learn to debug and monitor AI systems like a pro

Want your AI to produce precise, usable results? You’ll learn how to handle structured outputs and function calls, making your applications smarter and more user-friendly.

Build smarter applications with structured outputs

Stop wasting time in endless iteration cycles. Through guided projects, you’ll discover how to set up workflows that refine your applications faster and with less frustration.

Accelerate your development process with iterative workflows

Tired of theoretical knowledge? You’ll build a fully functional app that uses text and image models to query PDFs, giving you practical experience solving complex real-world problems.

Develop hands-on expertise by building GenAI and LLM apps

Whether you’re looking to lead AI projects, impress stakeholders, or level up your technical expertise, this course gives you the tools to stand out as an AI/ML practitioner.

Advance your career with practical, proven techniques

These aren’t just skills for demos—they’re skills for delivering scalable, production-ready systems that solve real-world business challenges.

Solve Real Problems at Scale

Leave the course with a project you can add to your portfolio, demonstrate to your boss, or use to showcase your ability to deploy reliable AI systems.

Showcase Tangible Results

Build LLM-powered software reliably & from first principles. Learn the GenAI software development lifecycle: agents, evals, iteration & more

Hugo Bowne-Anderson

Host of Vanishing Gradients podcast; ex-Outerbounds; expert in DS/ML.

Stefan Krawczyk

Agentforce; Ex-Stitch Fix; 13+ Years building / productionizing data, ML, Agents

Cohort 2

Cohort 3

NOTE 1: The price shown on this page is in _USD_.NOTE 2: There are not many live sessions in this bootcamp and the majority of your interaction with us will be through 1 on 1 calls with the teaching staff (5 of us).NOTE 3: Check out the incentive program on this page for ways to save money. 🟢 WHAT WILL I BE ABLE TO BUILD IN THIS COURSE?You’ll build a functional application powered by LLM agents to automate a workflow of your choice. Along the way, you'll learn to design agent workflows, and integrate required tools. By the end of the course, you'll have a working MVP ready to showcase in a public demo. You can see this playlist for examples of what previous students built: https://tinyurl.com/llm-agent-demos 🟢 HOW WILL YOU HELP ME BUILD APPS LIKE THESE IN JUST 7 WEEKS?This course is all about learning by doing. You do a real project, applying concepts you learn about AI agents with our expert guidance. Specifically:👨🏽‍🏫 1:1 sessions with the instructors to help you think through bigger picture questions👨‍🎓 Async and sync sessions with a dedicated TA for constant support, code reviews, and real-time feedback We also provide the "agents playbook" a step by step guide for building agentic systems with lots of hints, tips, and resources. 🟢 OK! THAT DOES SOUND FUN, BUT HOW DO I KNOW IF I HAVE THE PRE-REQUISITES AND I'M READY FOR BUILDING?That's the most common question we get! The best way to assess is to check out the "agents playbook" we provide for free and get a sense of what you need to do, and also check out the resources we curated. Here: https://maven.com/p/b0756d/agents-playbook 🟢 I SEE! SO, I'LL DO MY PREP BEFOREHAND, THEN WHAT SHOULD I EXPECT TO HAPPEN DURING?Think about it like this (since we're developing a product here, eh?): This is a 3-sprint product dev + 1 week of prep for the public demo.🖌️ SPRINT 1 - DESIGN (weeks 1 &amp; 2)🔨 SPRINT 2 - DEVELOP (weeks 3 &amp; 4)🚢 SPRINT 3 - DEPLOY (weeks 5 &amp; 6)🎭 PUBLIC DEMO (week 7)In each sprint, you communicate your progress or blockers on Slack, you collaborate on your designs / code on GitHub, you show up to provide weekly project updates and get feedback, and finally you do an end of sprint demo. 🟢 OK! HOW WOULD I KNOW IF I'M MOVING IN THE RIGHT DIRECTION?You will get feedback async via Slack and other platforms we use, and also you join weekly group office hours, and when you need you can book the teaching staff for a 20 min 1:1 call. In addition, each sprint will wrap up with a "sprint demo" where you can show what you've done up to that point, and your peers and the teaching staff will provide feedback. We also will invite guest experts for each of the demos to provide additional feedback:🖌️ SPRINT 1 - Sr. AI Product Experts🔨 SPRINT 2 - Sr. ML Engineers🚢 SPRINT 3 - Sr. MLOps Engineers🎭 PUBLIC DEMO - Investors, Experienced Founders, Corporate Directors 🟢 WHAT IF I DON'T HAVE A PROJECT IDEA?We will have a default project (most probably related to Deep Research) that you can participate in. If your goal is to better internalize the concepts rather than working on a specific idea, you can join that project. We commonly see that people re-take the course in the future to further develop specific ideas they have, and focus on building the foundations the first time they take the course. 🟢 COOL! I'M EXCITED TO GET STARTED, AND A DISCOUNT WOULD REALLY SWEETEN THE DEAL!Glad to hear that! There are a few options:🧑🏿‍🤝‍🧑🏼 You can find a buddy or colleague and sign up together. (20% off 2-9 seats&nbsp;|&nbsp;25% off 10+ seats)✴️ We often share discount codes with communities (including AISC members - reach out to community@ai.science if you're not part of our slack). So, check in with the communities you are part of.📆 We regularly hold events and info sessions where we share flash sales discounts valid for a day or two. Join the mailing list on this page to receive notifications about those.👨🏽‍🏫 You can apply to our Inventive Program that provides up to 75% refunds (not discounts). Apply here: https://forms.gle/YnvsoREuEX35DAxv8

Mentorship Program to Help You Build an Agent-based MVP

Controlling the behavior of your agents often requires coding to include various tools, memory, or orchestration.

Python Coding

If you don't want to code, you can use no-code agent studios. We will provide specific resources but general familiarity is useful.

No-code App Building

If you are planning to code (or vibe code), familiarity with one of the coding assistants (GitHub copilot, cursor, etc), is helpful.

Coding co-pilots

We will have guest lecturers (optional) on Fridays, and project office hours on Sundays.

Fridays & Sundays

You can book time with the teaching staff to have 1 on 1 conversation about your project once or twice a week

1 on 1 Mentorship Sessions

You demo your progress every other week as you build up towards preparing for the final public demo with invited guests (experienced founders, corporate directors, and investors)

Sprints + Public Demo

You want to build an agentic MVP to demonstrate your skills for career progression purposes.

You want to build an agentic MVP to test the feasibility of your startup idea.

You want to build an agentic MVP to explore the new feature you want to add to your existing product

This course is for you if...

At the end of this course you will ...

Grasp how multiple LLMs can collaborate with each other, get feedback from or assign tasks to humans, ad use tools to tackle complex problems

Understand the core principles of multi-agent LLM systems

Bridge the gap by crafting strategies to seamlessly integrate LLMs with existing products, boosting user experience, productivity, and business metrics.

Integrate LLMs with existing product offerings to enhance user and customer experience

Learn what it takes to build robust multi-agent LLMs. Understand security best practices and ensure system reliability.

Lightning Lessons

The AI Engineer Challenge: Build an End-to-End LLM App