Learn AI from the people who build it
Structured AI, ML and data-science training for business owners, professionals and engineers. Every track ends with you building agents and automations, not just prompting them.
Next cohort starts on the 1st of next month — consultation first, payment after.
20
courses across three tiers
12
cohort intakes every year
2
countries with offices, US and Nigeria
A Cuesoft Inc. talent academy — building software since 2017 · CueTA™ independent since 2024
Don't Feel Like Scrolling? Just Ask.
Ace knows every tier, course, mentor and fee on this page. Interview us before we interview you.
Ace · the CueTA™ assistant
Ace · the CueTA™ assistantAce can make mistakes — your consultation call is the source of truth.
Apply now →Why Learners Choose CueTA™
Taught by builders
Live cohorts led by the engineers who build Cuesoft’s own products, not career instructors reading slides.
Mentorship & network
Working engineers mentor you through every project — and when you graduate, CueHIRE™, Cuesoft’s talent arm, is behind you.
Verifiable certificate
Graduate with a certificate issued by Cuesoft Inc. Each carries a unique credential ID and a public verification page any employer can check.
Portfolio-first learning
Every course ends in something you shipped, a portfolio employers can open, not just a line on a CV.
Learn From the People Who Build AI
You learn from the engineers who build Cuesoft's data platforms, generative AI products and agentic systems, not hired tutors. Every tier is mentored by the people below.
Dr. Ayanfe Oluyomi
Co-founder, CAIO & MD, CueTA™
PhD in Computer Science · published, peer-reviewed research on ML-driven anomaly detection
Mentors Tier 3
Ibukun Dairo, MBA
Founder, CEO & Principal Engineer
11+ years building software; platform and SRE for global streaming systems since 2021 · top-10 contributor to a 7.5k★ open-source platform
Mentors Tiers 1 & 2
Mubin Sheidu, MEng
Co-founder, COO & MD, CueHIRE™
MEng in Robotics & AI · 7 years shipping production mobile apps for US and Nigerian teams
Mentors Tiers 2 & 3
Olaife Olawore
CTO & MD, CueLABS™
Leads CueLABS™ · core engineer on Cuesoft’s open-source platforms Expendit and Upstat
Mentors Tier 2
CueTA™
learn from the people who build AI
Cuesoft's values run through all three: create IMPACT by being a Cuesoft ACE — Accountability, Collaboration, Excellence. It is where Ace gets its name.
World-Class AI Training, Built in Africa
Learn by building real projects — agents, automations and AI systems that run in production, with mentors beside you and a network that opens doors.
Apply NowChoose the Path That Fits You
Three tiers, three destinations — growing your business with AI, engineering with AI, or engineering AI itself.
New intakes on the 1st of every month.
Tier 1 · Basic · 4 weeks
AI for Business Growth
Put AI to work in your business — marketing, sales, operations and everyday productivity. No coding required.
Who it's for
Business owners and corporate teams that want their staff trained to work with AI.
What you need
No coding required. You run a business, lead a team, or want your staff working faster with AI.
5 courses · 20 modules · 4 weeks
Build your AI roadmap — what to adopt, where it pays off, and how to roll it out across your business.
- The AI landscape for business — models, tools and what they cost
- Finding the highest-ROI use cases in your business
- Building your AI adoption roadmap
- Rolling AI out across a team — policy, training and guardrails
Content engines, campaign automation and analytics that multiply your marketing output.
- Content engines — from brief to campaign with AI
- Automating campaigns across email and social
- AI-assisted market research and audience analysis
- Measuring what works — analytics with AI
AI-assisted selling, support and CRM workflows that convert and retain customers.
- AI-assisted prospecting and outreach
- Automating your CRM — pipelines and follow-ups in HubSpot
- AI in customer support — chat, triage and tone
- Retention playbooks powered by your own data
Automate reports, documents and daily busywork so your team runs leaner.
- Documents, reports and meeting notes on autopilot
- Personal AI workflows — from inbox to insight
- Automating back-office processes
- Quality and oversight — keeping humans in the loop
Chain your everyday tools into end-to-end automated workflows. No code required.
- Mapping a business process for automation
- Building no-code automations with Zapier and n8n
- Connecting your stack — forms, sheets, CRM and chat
- Capstone — ship a live automation for your own business
What you'll ship
A live AI-powered workflow for your own business — a content engine, a sales pipeline or an ops automation, running on the tools you already use.
Skills you'll gain
Tools & technologies you'll work with
Taught and mentored by Ibukun Dairo, MBA
Next cohort starts on the 1st of next month — ApplyTier 2 · Intermediate · 8 weeks
AI-Assisted Software Engineering
Build and ship software faster with AI at your side, across the modern engineering stack.
Who it's for
People with a basic grasp of programming who want to 10× their workflow with AI coding agents.
What you need
You can already write basic code in any language and have built something, however small. We verify fit on your consultation call.
7 courses · 28 modules · 8 weeks
Ship modern, accessible web interfaces faster with AI pair-programming.
- Agent-first development — planning work for AI coding agents
- Building React and Next.js interfaces with Claude Code and Cursor
- Accessibility and design systems, enforced by AI review
- Ship it — a production frontend from brief to deploy
Design APIs, data models and services with AI accelerating every step.
- API design and data modeling with an AI pair
- Authentication, validation and error handling done right
- Databases and ORMs — from schema to query optimization
- Ship it — a documented, tested API service
CI/CD, infrastructure as code and incident response with AI in the loop.
- CI/CD pipelines with GitHub Actions
- Docker from development to production
- Infrastructure as code with Terraform
- Incident response with AI in the loop
Build the internal platforms and developer tooling that scale engineering teams.
- What platform teams do — golden paths and paved roads
- Internal tooling and developer experience
- Kubernetes fundamentals for platform work
- Ship it — an internal tool your team would actually use
Architect, deploy and optimize cloud workloads with AI-assisted tooling.
- Cloud architecture patterns — compute, storage and networking
- Deploying and scaling on AWS and GCP
- Cost, security and observability essentials
- Ship it — a cloud deployment with monitoring attached
Ship native and cross-platform apps with AI-accelerated workflows.
- Cross-platform foundations with Flutter
- Native tracks — Kotlin for Android, Swift for iOS
- Mobile CI/CD and release pipelines
- Ship it — an app from idea to store-ready build
Tracks: Flutter App Engineering · Android App Engineering with Kotlin · iOS App Engineering with Swift
Test strategy, automation and AI-driven quality gates for real codebases.
- Test strategy for AI-accelerated teams
- Unit, integration and end-to-end automation
- AI-driven test generation and review gates
- Quality metrics engineering leaders trust
What you'll ship
A production web or mobile app, built agent-first and shipped end-to-end — frontend, API, tests, CI/CD and cloud deployment.
Skills you'll gain
Tools & technologies you'll work with
Taught and mentored by Olaife Olawore · Mubin Sheidu, MEng · Ibukun Dairo, MBA
Next cohort starts on the 1st of next month — ApplyTier 3 · Advanced · 12 weeks
Applied AI Engineering
Design, train and operate AI systems in production, from data pipelines to agentic systems.
Who it's for
Computer science, mathematics, engineering and statistics backgrounds moving into ML, data science and AI operations.
What you need
A CS, math, engineering or statistics background, and working Python. We verify fit on your consultation call.
8 courses · 32 modules · 12 weeks
Pipelines, warehouses and feature stores that feed production AI systems.
- Batch and streaming pipelines with Airflow
- Data modeling — warehouses and lakehouses
- Feature stores and data quality for ML
- Ship it — a pipeline feeding a live model
From exploratory analysis to decision-ready insight, statistics included.
- Statistical thinking and exploratory analysis with pandas
- Visualization and decision-ready storytelling
- Experimentation — A/B tests and causal basics
- From notebook to stakeholder-ready insight
Train, evaluate and ship machine learning models to production.
- Training and evaluating models with scikit-learn and PyTorch
- Feature engineering and model selection
- Serving models — APIs, batching and latency
- Ship it — a trained model behind a production endpoint
Build products on large language models, from prompting to full applications.
- How LLMs work — tokens, context windows and sampling
- Prompt and context engineering that survives production
- Building LLM applications — structured output and tool use
- Ship it — an LLM product feature end-to-end
Retrieval-augmented generation over your own data — embeddings, vector stores and evaluation.
- Embeddings, chunking and vector stores
- Retrieval strategies — hybrid search and re-ranking
- Evaluating RAG — faithfulness and retrieval metrics
- Ship it — RAG over your own documents
Design AI agents that plan, use tools and act reliably in production.
- Agent architectures — planning, tools and memory
- Multi-agent workflows and orchestration
- Reliability — guardrails, evals and failure modes
- Ship it — an agent that does real work, safely
Operate models in production — monitoring, evaluation, cost and safety.
- Experiment tracking and model registries with MLflow
- Deployment patterns — containers to Kubernetes
- Monitoring models — drift, cost and quality
- Incident playbooks for AI systems
Adapt foundation models to your domain, your data and your budget.
- When to fine-tune, when to prompt, when to RAG
- Dataset curation and preparation
- LoRA and parameter-efficient fine-tuning in practice
- Evaluating and shipping a tuned model
What you'll ship
A deployed RAG or agentic system over real data, with evaluation, monitoring and an MLOps pipeline behind it.
Skills you'll gain
Tools & technologies you'll work with
Taught and mentored by Dr. Ayanfe Oluyomi · Mubin Sheidu, MEng
Next cohort starts on the 1st of next month — ApplyA Consultation, Not a Checkout
No payment on this website. We place every applicant in the tier that matches their background, then talk fees.
1
Apply in three minutes
Tell us your goal and preferred track, or ask us to recommend one.
2
Free consultation call
A short consultation with a CueTA™ director. We assess your background and place you in the tier where you’ll grow fastest, not the most expensive one.
3
Join the next cohort
New cohorts start on the 1st of every month. Fees are settled after your consultation — never on this website.
Free monthly masterclass. Sit in on a real CueTA™ session before you apply, taught live by Dr. Ayanfe Oluyomi. First session coming in October.
Reserve a seat on WhatsAppCohorts With Mentors, Not Videos Alone
| What you get | Self-paced video courses | University degree | CueTA™ |
|---|---|---|---|
| Live cohort sessions | Not included | Included | Included |
| Mentors who ship production software | Not included | Not included | Included |
| Consultation call before you pay | Not included | Not included | Included |
| Portfolio projects reviewed by engineers | Not included | Not included | Included |
| Shipping production work in 4–12 weeks | Not included | Not included | Included |
| Curriculum rebuilt from live client AI work | Not included | Not included | Included |
Don't Just Take Our Word for It
Voices from our first learners, trained by the same engineers who mentor every cohort today.
Before You Apply
That is exactly what the consultation call decides. Apply with your best guess, or pick “not sure yet”, and a CueTA™ director will assess your background and place you where you’ll grow fastest.
Because fit comes first. We only take payment after your consultation call confirms the right tier and course for you, so nobody pays for a program that doesn’t fit.
New cohorts start on the 1st of every month, across all three tiers. Apply any time; your consultation call is scheduled within days.
Cuesoft’s own engineers and leadership, the people who build Cuesoft’s data platforms, generative AI products and agentic systems. Every tier lists its mentors on this page.
A short, free consultation with a CueTA™ director. We talk through your goals and background, confirm the tier and course that fit, and walk you through fees, installments and your cohort start date.
Yes. Graduates receive a certificate issued by Cuesoft Inc. with a unique credential ID and a public verification page. One click for any employer to confirm it, and one click for you to add it to LinkedIn.
Yes, Tiers 2 and 3 offer monthly installment plans in both naira and dollars. The details are set up on your consultation call.
Yes, Tier 1 is built for exactly that. Pricing is per staff member, and your consultation call doubles as a team-training consultation: tell us your team size and goals, and we’ll plan the cohort around them.
Your mentors build agentic systems and AI automation for clients every week, and the curriculum is rebuilt from that work cohort by cohort. You train on what is in production now — agents, RAG, automation pipelines, AI-assisted engineering. Not on last year’s syllabus.