US-based AI consulting, practitioner training, and deployable agents, one partner from your first use-case to a production system you own.
We diagnose where AI pays off, train your team to own it, and deploy the agents that do the work, one partner across the whole journey, not three vendors.
From first use-case to a deployed, governed system you own. We diagnose the highest-ROI opportunity before we build, embed alongside your team, and hand over the IP and the know-how. No wasted spend, no black boxes.
Explore consultingTwelve practitioner courses across three learning paths, foundations to agentic engineering, kept current with 2026 tooling (MCP, agents, evals) and the EU AI Act literacy requirements. Certificate, real projects, and a clear outcome on every track.
Browse coursesPick a job, deploy the agent, cancel anytime. We build, integrate, host and maintain production agents for support, sales, ops, knowledge and more, plus a range built for freelancers, priced as a transparent monthly subscription, not an enterprise contract.
Browse agentsMost clients start with a fixed-price AI Opportunity Audit, upskill the team on the courses, then run the agents we deploy together, each pillar feeds the next.
A clear value ladder, assess, strategise, build, deploy, then embed. Start with a fixed-price audit; its fee is credited back against any follow-on engagement.
A fixed-scope diagnostic of your data, systems, processes, skills and governance, with a prioritised, ROI-ranked shortlist of where AI actually pays off.
Turn the audit into a plan, prove one use-case works, then harden it into a monitored, governed production system.
Build the AI muscle in-house, or get senior AI leadership on tap, without a full-time hire.
Indicative pricing for scoping, final quote confirmed after a discovery call. The audit fee is credited back against any follow-on package.
Twelve practitioner courses across three learning paths, from zero-to-practitioner foundations to agentic engineering and production AI, refreshed for 2026 tooling (MCP, agents, evals, the EU AI Act). Add a course to your cart, or talk to us about a team cohort.
Beginner-friendly start, concepts, generative AI, and the Python toolkit.
Build, train and ship models in the cloud, the production toolkit.
Agentic, vision, language and product, turn AI into shipped outcomes.
Your complete introduction to AI. Understand machine learning and neural networks, build your first model in Python, and get an EU AI Act literacy module. No prior experience needed.
Master LLMs, prompt engineering and AI image & video generation across ChatGPT, Claude, Gemini and Copilot. Build practical AI workflows with no-code tools.
Learn Python from scratch, then NumPy, Pandas, Polars, data visualisation and Scikit-learn, the essential programming foundation for any AI career.
Classical ML, feature engineering, model evaluation and MLflow tracking, plus an LLMOps track. Deploy models with FastAPI and Docker.
From CNNs to Transformers and diffusion models. Build vision and NLP models, export with ONNX, track with MLflow, and deploy with PyTorch.
Train and customise your own LLMs: LoRA, QLoRA, PEFT, RLHF, DPO and GRPO, plus the RAG-vs-fine-tuning decision, deployed at scale with vLLM.
Deploy AI on AWS: SageMaker, Bedrock for Gen AI, Lambda inference and monitoring. Aligned to the AWS ML Engineer Associate certification.
Master Azure ML, Azure OpenAI & Microsoft Foundry, and GenAIOps pipelines. Aligned to the new AI-300 MLOps Engineer certification.
Go beyond prompts: build RAG pipelines and AI agents with MCP, A2A, LangGraph and CrewAI, with evals and observability built in.
Production computer vision: YOLO26, Vision Transformers, segmentation, and edge deployment with ONNX and TensorRT for real-time inference.
Deep dive into NLP: attention, BERT and GPT architectures, plus embeddings, RAG, LangChain and FAISS for real question-answering systems.
Build complete AI products: RAG architecture, vector databases, evals, unit-economics, and the 2026 build stack (Cursor, v0, n8n, Supabase).
Pick a job, deploy the agent, cancel anytime. We build, integrate, host and maintain production agents, for teams and for freelancers, priced as a transparent monthly subscription, not an enterprise contract.
Monthly prices are indicative starting tiers confirmed per client after a short scoping call. Need something bespoke? Book a consultation.
A look at the kind of outcomes we build, across enterprise engagements and individual / small-team work.
Mid-market US fintech, ~120 staff, 14 support agents, ~9,000 tickets/month.
Challenge: ~11-min first response, 38% repeat contact, rising headcount cost. Built: RAG-grounded support agent wired to the help-center and order system, strict human-in-the-loop for billing, live in 3 weeks. Result: first response 11 min → under 2 min; repeat contacts −25%.
Professional-services / engineering firm, ~400 staff, US + EU.
Challenge: staff losing 5–6 hrs/week each to document search; inconsistent, out-of-date answers. Built: access-controlled RAG over the document estate, citations on every answer, stale-content feedback loop. Result: ~78% answer satisfaction, ~42% fewer misinformation incidents, onboarding 15–25% faster.
Data-driven US retailer / e-commerce, ~250 staff.
Challenge: 10–12-week release cycle, no automated retraining or drift monitoring, silent degradation incidents. Built: cloud MLOps platform (CI/CD, feature store, automated retraining, drift + performance monitoring) plus 6-week enablement. Result: 30–50% cycle-time reduction; drift caught automatically before impact.
Mid-size US / EU manufacturer (automotive / electronics components).
Challenge: defects reaching customers, warranty exposure, inconsistent manual inspection. Built: line-side CV inspection (camera + edge inference, sub-100ms), continuous learning, human-review queue for low confidence. Result: accuracy ~90% → 99%+ within weeks; payback in 8–14 months.
We are not another generic training provider. Here is what sets us apart.
You own all IP and data, no lock-in.
Secure, GDPR-compliant foundations, your data stays with you.
Diagnosis before build, no wasted spend.
Agents: cancel anytime, first 14 days money-back.
Every module is designed around real deployment scenarios, not toy examples. Your team ships working systems by the end of the program.
On-site, remote, hybrid, or self-paced. We adapt to your team's schedule, timezone, and preferred learning style.
We define success metrics before training begins and measure skill gains with pre/post assessments. If we miss the target, we retrain free.
Maximum 16 learners per cohort ensures everyone gets meaningful instructor interaction, code reviews, and mentoring.
Our materials are refreshed quarterly to cover the latest frameworks, cloud services, and industry best practices.
Structured learning paths that align with AWS, Azure, GCP, and Kubernetes certification exams to maximise your team's credentials.
Founded by senior cloud architects and AI researchers, PeusoPeupon LLC exists for one reason: to close the skills gap between where technology is and where your team needs to be.
Every trainer holds active certifications from AWS, Google Cloud, or Azure and works on production systems daily.
No death-by-slides. Every session includes live labs, pair programming, and real-world project work.
6 months of Slack access to instructors, code reviews, and monthly office hours after every program.
Tell us about your goals and we will design a training program that delivers measurable results. No obligation, no sales pressure.
Denver, Colorado, USA
Serving clients across the US & worldwide
We respond within 24 hours,
Monday through Friday
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