Build a Team That Ships Production AI Agents

Our AI FDE Challenge Sprints bring a one-week on-site learning experience to build with mid-market to enterprise AI teams.

Second, the AI FDE Certification is a great remote learning option for individuals and small teams in enterprise engineering roles.

Turn your leaders, engineers, and developers into production-ready AI engineers and internal champions, using your stack, use cases, and infrastructure.

Start the Enterprise Application →

Apply now to explore an AI FDE Challenge Sprint or the FDE Certification for your enterprise.

AI Makerspace and Accenture Happy Hour in Madrid
AI Makerspace + a global business consulting firm AI FDE sprint, photographed in Madrid, July 2026

The Problem: Most Organizations Are Still Building AI Capability

Your enterprise pipeline relies on people who can:

  • Identify high-value use cases for AI
  • Build production-ready systems
  • Evaluate performance and risk
  • Deploy responsibly
  • Create measurable business value

Clients come to us when they already have the tools, engineers, data scientists, and everything they may need. But not the returns or certainty on the path to match.

The challenge isn't access to AI or developers and engineers, or going faster. The challenge is building the internal AI capability: your AI champions who align with leadership, products, and training others. And the system to use them effectively.

Learn AI Engineering. Build AI at work. Build AI as Teams.

Details set us apart. AI moves too quickly for a traditional, static curriculum. That's why every AI Makerspace program is built around an adaptive and accelerated curriculum that evolves with your people, the industry, the tooling, and the realities of production AI deployment.

Our mission is simple: Create the journey from learning AI engineering and applying skills in your role to solving bigger problems at work in the AI FDE Certification.

And then we bring this same mindset and our proven production AI systems to growing enterprise teams and their effectiveness by running your very own AI FDE Challenge Sprint.

Start the Enterprise Application →

Trusted Partners and an Enterprise Impact

These are mid-market to enterprise organizations with internal AI champions to train others. They're moving quickly from pilots to platforms and returns.

Our programs can help your team move from isolated tools or vendor dependencies to having true enterprise AI capability and internal AI champions. By having the curiosity and getting the right people in the room, we can co-create operational excellence.

We work with teams like yours in banking, financial services, insurance, business consulting, and adjacent organizations that are building what's next using AI-enabled products, services, and internal systems from right within.

Banking Industry: The AI Challenge Lab

Through enterprise engagements with organizations including a global bank, AI Makerspace helps teams bridge the gap between AI awareness and production AI engineering. The focus is practical: building the skills, systems, and internal champions needed to deploy AI safely and effectively in complex enterprise environments.

Business Consulting Industry: AI Titanium Engineer Program

Brought together by enterprise leaders in a global business consulting firm, AI Makerspace helps locations across the world develop the practical skills needed to move from AI strategy to AI execution. Executive vision only matters when teams know how to build it.

Informa: An Impressive Internal AI Rollout at Scale

AI Makerspace graduate Arthi Kasturirangan and the team at Informa built Elysia, an internal AI platform that empowers employees to build AI-powered applications across the organization.

Successful AI transformation isn't limited to engineering; it looks like a system that enables hundreds or thousands of people to create value.

Agentic AI: Explore Our Custom Programs for Enterprises

Most AI training focuses on concepts. We focus on execution from your forward-deployed engineers, internal AI champions, and your production system.

Your team learns by working through your use cases, building their applications and agents, evaluating the systems, and confidently presenting outcomes. Production AI capability is built through this practice.

See an example curriculum from the AI Challenge Lab at a global banking firm for a clear picture of what production AI and shipping experience your team will gain in working with us.

ONE

Option 1: Join or Send Your Team Members to The AI FDE Certification

A great option to build for individuals, small teams, and remote workers. Enroll your best software engineers, product leaders, data scientists, and technical operators in the AI Forward-Deployed Engineering Certification.

  • Live instruction
  • Hands-on projects
  • Production AI workflows
  • Global community
  • Certification pathway
  • Brings your solution to a problem to life

We are proud of our graduates around the world, who are building the future every day. To have someone apply for our next cohort now:

  1. Apply for the AI FDE Certification
  2. The AI Makerspace team will review your application to send an assessment and the next steps.

The cost is $5,250 per participant. Small teams are welcome.

Get an AI FDE Certification →

The next AI FDE cohort begins soon, for $5,250 per individual.

TWO

Train in Groups: The AI FDE Challenge Sprint, One Week On-Site

Bring AI Makerspace instructors directly to your organization for the week with live on-site training and a current accelerated curriculum. This hands-on training, team-building, and problem-solving experience is recommended for mid-market to enterprise teams.

Programs are customized around:

  • Your use cases
  • Your infrastructure
  • Your governance requirements
  • Your production goals
  • Your leadership, engineers, and AI pipeline

Available as:

  • 1-week intensive programs
  • 2-week intensive programs
  • Executive and technical tracks
  • Live in-person delivery

Programs are $70,000 for one week on-site. If you are interested in starting an AI FDE Challenge Sprint with us, please apply now. We can always provide an accurate roadmap and proposal for additional weeks and sprints required before you select your program dates.

Start the Enterprise Application →

Apply now to explore an AI FDE Challenge Sprint or the FDE Certification for your enterprise.

Why AI Makerspace? 

At AI Makerspace, we are all builders. We believe that building, shipping, and sharing is the secret sauce for individuals, enterprises, and learning communities of all shapes and sizes. 

These programs for enterprises are shaped by our experience training thousands of engineers and working alongside leading organizations building agents and value through production AI systems.

Our team has a deep history of contributing to AI education initiatives connected to thought leaders in the space, including:

Today, AI Makerspace powers one of the leading production AI learning communities in the world. Thousands of practitioners are actively building, shipping, and sharing real production agents every day. We are proud of our graduates around the world, who are building the future every day.

More About AI Makerspace →

Bring Today's AI Engineering
Building Blocks
To You

Hands-on learning with AI Makerspace follows these five modules as the building blocks of a strong agentic AI Engineering foundation, along with a demo day to present and a prepared executive report. The goal is to equip you so well that your team can build the next generation with what they learned.

All curriculum and code we will bring to you is adapted to your tools and environment. We default to your stack and introduce best practices where needed. If you know your best use cases and the biggest problems yet to solve, preview our example curriculum.

  • Module 02 — Agentic RAG

    Agents with tools that enhance retrieval and decision-making in production.

  • Module 03 — Complex and Deep Agents

    Multi-agent systems, long-running workflows, and context engineering.

  • Module 05 — Agent Servers

    Deployment, MCP servers, and production systems that create real value.

  • Module 06 — Demo Day

    Present a fully working demo of what you and your group built with confidence, not slides. 

Frequently Asked Questions

Onboarding

What kind of hardware will my people need?

A standard macbook pro is recommended. 16 GB of VRAM or unified memory is the minimum recommended for the ability to run LLMs locally, safely, and privately. More VRAM can handle bigger models!

What kind of software environment will need to be setup?

We recommend a visual Interactive Development Environment like Cursor, and setting this up is something that each person going through the training must do on your company hardware prior to kickoff

Why should my company pay for AI engineering certifications or programs when the AI tools are already available to everyone?

Because access to AI tools is not the same as the ability to create business value with AI.

The gap today is not knowing that AI exists. It is in knowing how to safely build, evaluate, deploy, and improve AI systems in production. The AI FDE Certification is designed around hands-on development of real agentic AI systems, covering areas like RAG, agents, evaluations, and production infrastructure.

Hardware, Team and Time Requirements

Minimum team size

A minimum of three engineers is required to build a custom enterprise cohort and curriculum around your goals for production AI with AI Makerspace. Ideal for mid-market to enterprise firms. 

For larger teams, we break out into teams of 2-5, and can take on 4-6 groups per cohort. Each team will work with us to build and demo a full production AI case around a business problem.

Recommended hardware to run LLMs

A standard MacBook Pro is recommended. 16 GB of VRAM or unified memory is the minimum recommended for the ability to run LLMs locally, safely, and privately. More VRAM can handle bigger models!

Typical training timelines

The timeline to build and get a full, detailed executive report is a 10-week-long and challenging program, and we are on-site with you for one or two weeks. 

All training follows our process and proven curriculum using the foundational building blocks of AI engineering. 

Time per module

Expect full-day intensives with us for either one or two weeks, along with a few hours per learning module and step for the remainder of 10 weeks. 

Time for capstone project

This project, which is typically your first AI deployment with us, takes from 4-20 hours.

Total time commitment

Total = 48-120 hours to build your custom AI learning foundation

Custom Training Payment Terms

How much will an AI FDE Challenge Sprint for an engineering team cost?

A custom one-week cohort program and sprint at your location and on-site is $70,000.

All proposed AI FDE Challenge Sprints are intended for groups of your nominated software engineers, technical leaders, data scientists, and technical staff.

During your proposal process before an enterprise AI program, we'll identify use cases, select dates, create your curriculum, and arrange our travel.

How big of an engineering team or group can each sprint accomodate?

This experience is ideal for mid-market to enterprise teams from 3 to 30 members and can come with a longer-term roadmap for multiple sprints to reach the goals for building up your AI pipeline. 

When should I send people to the AI FDE Certification?

Individual seats for the AI FDE certification are $5,250. Send your technical team members to our program to become certified and stronger AI FDEs.

In this certification, we work closely with students at an individual level over 10 weeks, and it is a great option for many firms working remotely or upskilling their staff and production AI capability alike. All students will build a production AI application that solves a real problem at your company and can be applied in their role. 

A payment for each participant and trainee is due upfront and in full to join the cohort and begin the certification and work.

The AI FDE Certification is run through Maven to keep all of your payments, content, training dates, and 1:1s in one place.

Some teams may prefer to, and are welcome to, send people individually or as a small group of up to three at once to this course. 

How much advance is required to schedule an enterprise production AI program on site?

We typically book new enterprise program engagements roughly two to three months, or 60 to 90 days, in advance.

We'll provide a roadmap based on your goals, team size, and engineering talent pipeline, where leadership ideally goes first. 

Security Concerns

Will the applications my team builds be production-ready and secure?

Production readiness is our guarantee. We will have pilots ready for production at the end of any enterprise program, and a two-week option includes a demo day.

Tools and security for your organization are a nuanced thing, and our instructors and curriculum can work with all of today's models. 

What if I am a no-media company and I want non-disclosure of any information discussed with any AI Makerspace staff?

We are well-versed in working with enterprise clients, including in sensitive and highly-regulated industries. Although we would prefer to showcase you as a client, we will always respect your privacy publicly and flow down terms within your NDAs to our instructional staff internally.

Get Your Enterprise AI Capability Snapshot

Understand your team's AI capabilities. Identify the gaps. Build what comes next. The Enterprise AI Capability Snapshot helps you better understand current AI capabilities and identify the gaps between ambition, skills, organizational systems, and production.

Across five key areas, it provides a practical view of your team's AI readiness, engineering capabilities, talent, infrastructure, and ability to deliver or scale production AI systems.

The goal of this resource is to understand what's working and what you can build next. You'll easily spot where capability may be missing and what conversation to prioritize next.

🏗️ Build. 🚢 Ship. 🚀 Share.

Your AI Capability Snapshot →

Client Outcomes and Testimonials

"Thanks to Accenture, I had the opportunity to take part in AI Titanium Engineering, an intensive week-long course held in Madrid. The program was delivered by AI Makerspace and powered by AI Aspire (an Andrew Ng and Kirsty Tan 's company).

This was not another introductory AI course. It was a deep, hands-on dive into the frontier of AI Engineering, and I feel fortunate to have been selected among the first in the EMEA region to experience it. Over five days, we worked through some of the most demanding and relevant areas of the field, from improving RAG systems and prompt optimization to multi-agentic systems and guardrails for safe and reliable AI."

Daniel López Badell
Senior Data Scientist Consultant at Accenture

“The reactions from the team were overwhelmingly positive. They learned a lot and liked the way your Bootcamp is structured. Most importantly, they felt pride in completing the challenges… There was blood, sweat, and tears, but a huge sense of accomplishment! I will explore opportunities to work together in the future, so please keep me in the loop on what you’re building over there.”

Robert Fitos
AI & Data Tribe Director @ Hrvatski Telekom

“The AI Engineering bootcamp has significant advantages for enterprise data teams. After having multiple team members complete the bootcamp, our approach to Generative AI projects has become more streamlined and effective, leading to faster prototyping. I strongly recommend this course to any data professional or team eager to upgrade their Gen AI skills and drive impactful innovation within their organization.”

Colin Davis
Sr. Director, Data Strategy @ Kiewit

“AI Makerspace excels where others have come up short, empowering data scientists with the vital practical skills to flourish within the AI landscape. Through collaborations with industry trailblazers, they guarantee a concentration on the most pertinent and crucial expertise. They bring people up to speed on a subject that never slows down.”

Steven Gawthorpe
Associate Director @ Berkeley Research Group

“Greg and his team were able to make complex subject matter easy to digest and very engaging. In just a few weeks time we were able to complete widely divergent projects to develop AI apps to solve healthcare challenges.”

Zachary Arose
Healthcare Technology Manager @ VA Medical Center
Meet Certified Graduates →

Start a New Conversation with AI Makerspace

Have a question about AI FDE Challenge Sprints or the AI FDE Certification for your team? To begin the application for a custom quote with a 1:1 walkthrough, please use the form or schedule a call with us.

  1. Book a 1:1 call with AI Makerspace about the AI FDE Certification for individuals or small teams
  2. Book a 1:1 call with AI Makerspace about AI FDE Challenge Sprints and enterprise team support

You can also send us an email about what you're looking for to greg@aimakerspace.io.

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