Build a Team That Ships Production AI Agents
A hands-on enterprise AI engineering cohort that turns your developers into production-ready AI engineers. Using your stack, your use cases, and your infrastructure.
Our enterprise AI training program starts at $70,000 for a one-week program and $85,000 for two. Longer-term roadmaps available.
The Problem: Most Organizations Don't Need More AI Awareness
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 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 right internal capability, your AI champions who align with leadership, products, and training others. And the system to use them effectively.
Our Solution: The Industry-Standard for Production AI Forward-Deployed Engineers
AI moves too quickly for a traditional, static curriculum. That's why every AI Makerspace program is built around an adaptive curriculum that evolves with your people, the industry, the tooling, and the realities of production deployment.
Our mission is simple: Create the industry-standard certification for production and Forward-Deployed AI Engineers. And bring the same practical engineering mindset and systems to growing enterprise teams and pipelines.
Grab the AI Makerspace Enterprise Program PDF for later.
Trusted Partners and an Enterprise Impact
These are enterprise organizations moving quickly from pilots to platforms. From isolated tools to enterprise capability. Their curiosity and getting the right people in the room are turning into operational excellence.
We work with teams like yours that are building the next generation of AI-enabled products, services, and internal systems from right within.
Morgan Stanley: The AI Challenge Lab
Through enterprise engagements with organizations including Morgan Stanley, 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.
Accenture: AI Titanium Engineer
In partnership with AI Aspire, Accenture, and enterprise leaders, AI Makerspace helps organizations 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.
AI Aspire: Our Trusted Partnership with Andrew Ng's Consulting Firm
AI Aspire supports organizations in developing AI-ready teams, identifying high-impact use cases, establishing governance frameworks, and creating the internal momentum required for successful transformation.
Together, our programs can combine executive education, organizational change management, and hands-on AI engineering to help enterprises build skills and confidence.
Agentic AI: Explore Our Custom Programs for Enterprises
Most AI training focuses on concepts. We focus on execution from your forward-deployed engineers and your production system. Your team learns by working through your real use cases, building their applications, agents, evaluating the systems, and presenting outcomes. Production capability is built through this practice.
See an example curriculum from the AI Challenge Lab at Morgan Stanley for a clear picture of what production AI and shipping experience your team will gain in working with us.
ONE
Option 1: Send Your Team Members to The AI FDE Certification
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
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:
- Apply for the AI FDE Certification
- The AI Makerspace team will review your application to send an assessment and the next steps.
Starting at $5,250 per participant. Small group discounts and invoices are available, and we're happy to provide a proposal for you.
The next AI Engineering Certification cohort begins soon, for $5,200 per team member.
TWO
Train an Enterprise Cohort of 30+: One-Week and Two-Week Options
Bring AI Makerspace instructors directly to your organization for the week. This hands-on training, team building, and problem-solving experience is recommended for enterprise teams of 30+.
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
Starting at $70,000 for one-week on site, and $85,000 for two. If you are interested in starting a custom enterprise program with us to provide an accurate roadmap and proposal, please apply now.
A custom enterprise AI program starts at $70,000 for a one-week intensive, and $85,000 for two full weeks. In-person and online options available.
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:
- AI Aspire, Andrew Ng’s advisory firm
- Anthropic and Claude Certified Partner
- DeepLearning.ai
- LangChain
- Arcee AI
- Vibrant Labs
- LlamaIndex
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.
Bring Today's AI Engineering
Building Blocks To You
Hands-on learning and systems thinking with AI Makerspace follow these five modules as the building blocks of a strong agentic AI Engineering foundation.
All curriculum and code we bring to an enterprise is adapted to your environment. We default to your stack and introduce best practices where needed. Grab our example curriculum with the Morgan Stanley AI Challenge Lab.
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Module 02 — Agentic RAG
Agents with tools that enhance retrieval and decision-making in production.
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Module 03 — Complex and Deep Agents
Multi-agent systems, long-running workflows, and context engineering.
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Module 05 — Agent Servers
Deployment, MCP servers, and production systems that create real value.
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Module 06 — Demo Day
Present a fully working demo of what you and your group built with confidence, not slides.
Frequently Asked Questions
Onboarding
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!
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
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 Requirements and Time Commitment
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!
The AI Engineering Certification is a 9 to 10-week-long and challenging program, while an average custom agentic AI training program is completed in one or two weeks.
All training follows our process and proven curriculum using the Building Blocks of AI Engineering and our five listed modules.
Expect 3 hours in class (1 lecture, 2 hours working with one another and experts), and 1-5 hours of solo working.
This project, which is typically your first AI deployment with us, takes from 4-20 hours.
Total = 48-120 hours to build your custom AI learning foundation
Custom Training Payment Terms
A custom one-week cohort program is $70,000, and a two-week program requires a budget and commitment of $85,000.
All custom proposed programs are made of nominated software engineers, technical leaders, data scientists, and technical staff. This experience is ideal for enterprise teams of 30+, and can come with a longer-term roadmap for multiple cohorts and to reach the goals within your AI pipeline.
During your proposal process before an enterprise AI program, we'll identify use cases, select dates, create your curriculum, and arrange our travel if required.
Individual seats for this certification are $5,250. Send your technical team members to our program to become certified and stronger AI FDEs.
A payment for each bootcamp registrant 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.
We typically book new enterprise program engagements roughly two months, or 60 days, in advance. We'll provide a roadmap based on your goals, team size, and engineering talent pipeline, with leadership ideally going first.
Security Concerns
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.
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.
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."
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.”
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.”
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.”
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.”
Healthcare Technology Manager @ VA Medical Center
Pre-Order the AI Engineering Bootcamp Book on Amazon Today
An exciting new option for self-paced learning of systems thinking and production AI is here.
Whether you're building your first AI application or deploying enterprise AI systems in production, this book provides a practical roadmap for understanding, building, and improving your modern AI solutions.
Launch Date: October 6, 2026
Price: $65 USD
🏗️ Build. 🚢 Ship. 🚀 Share.
If you'd like to start a conversation about a custom proposal or see of our agentic and production AI-focused enterprise training is right for you, we're happy to help.