A 12-week applied AI fellowship for experienced professionals. Bring a workflow you understand and build a solution for it.
Finish with a runnable AI solution, a walkthrough and documented evaluation results. Show what changed for the business and defend your work in a live review.
Admission reviewed by a person · Two career tracks · One connected project
FROM DISCOVERY TO DELIVERY
One project. Four stages.
Understand the workflowUsers, constraints, baseline and value.
Build with controlsGrounding, tools, permissions and approvals.
Prove the behaviorEvaluations, failures and measured results.
Prepare for deliveryDeployment evidence, handover and a live assessment.
The outcome is evidence of your work. Capability is assessed through demonstration.
THE ACADEMY IN 42 SECONDS
See what you’ll build and verify.
Follow Maya in a fictional example as she tests an AI workflow and brings the result to a reviewer.
Read the transcript
Maya’s scenario is fictional. Maya knows this support problem. The ticket has no order ID. The first AI draft routes it to shipping anyway. After a test, Maya changes it to ask for the ID first. At NeoAistriq Academy, you build an AI workflow, test it, and show what improved. Build one project over twelve core weeks, with practice, human feedback, and a live capstone. Explore NeoAistriq Academy. Bring a workflow you already know.
VALUE IN YOUR CURRENT ROLE AND YOUR NEXT OPPORTUNITY
Work more effectively today. Prepare to deliver AI tomorrow.
Improve everyday work
Practise account research, meeting preparation, reporting and document workflows. Build reusable instructions and verify the output.
Configure real tools safely
Use ChatGPT with supported MCP connections and controlled browser workflows to configure a CRM or business app in an authorized sandbox.
Demonstrate the value
Compare baseline and assisted time, correction effort and output quality. Carry measured evidence into your current role and future delivery conversations.
For sales, marketing, GTM, operations, consulting and product professionals. Focus on discovery, workflow design, configuration, evaluation and adoption.
Example: A telecom professional designs a grounded service assistant with approved sources and controlled escalation.
ENGINEERING PROFESSIONALS
Build for the realities of delivery.
For developers and technical practitioners. Add coding, APIs, integrations, debugging, deployment and operating evidence.
Example: An engineer implements permission checks, retries and failure tests for that assistant.
Your role and industry shape the project, tools and success measures. Telecom is one starting point. Your plan adapts to the industry and workflow in your application, including manufacturing, CRM, retail and other domains.
Reference lessons, complete worked projects, prerequisites, exercises and rubrics explain what to do and what to submit.
Help while you build
The AI coach uses your project context. A personal practice adapts explanations and practice to saved evidence, with separate automated checks and human escalation.
Human checkpoints
Human review gates cover scope, controlled actions, deployment and the final capstone. Guidance sessions and response commitments are shown when confirmed.
BEFORE YOU COMMIT
Make an informed decision.
Practical commitment
Plan for 6–10 hours each week. Engineering participants need working coding, API and debugging skills.
Transparent tools and costs
Program access covers the learning workspace. External subscriptions, API credits, hosting and vendor exams are separate unless your offer says otherwise.
English-language learning, asynchronous exercises and timezone-aware session times. International applications are welcome. Country-specific payment availability, tool access and support coverage are confirmed before an offer.