Immediate skill
Build a source-grounded AI research workflow with retrieval, memory, and citations.
AI and automationAges 18+Certificate path
Completed
Build an AI workflow system your team can actually trust.
Build agents, automations, RAG workflows, and an AI research desk you can use at work.
This page describes a planned syllabus. Confirm named instructors, complete materials and delivery terms before enrollment opens.
Course feedback
Not published
A catalog star count is not course feedback.
Cohort
Cohort completed July 13, 2026
New enrollments are closed. Browse an available preview or request course updates.
Workload
30 hours
12 lessons
Price
$395
Members $296
Learner confidence
The syllabus describes intended learning goals. Only the sample materials explicitly marked available can be reviewed now.
PreviewProjectsFeedbackProof
Not publishedA catalog star count is not course feedback.
Preview statusSample material available
Cohort completed July 13, 20266 week path
100 seatsCohort-based learning
Course goals
A focused course built around useful output, not passive watching.
A live, project-based course for operators, founders, analysts, PMs, marketers, writers, and freelancers who need practical AI systems instead of generic prompt tips.
Planned assignments
Submit a one-page workflow brief: input, output, quality bar, tools, risk, and expected time saved.
Proof after completion
Finish with a certificate path and shareable completion proof.
Course fit
FormatLive online
LevelOperator
AgeAges 18+
OutcomeAI operator
A-Z learning system
Review the planned course outline.
These are planned activities and outcomes. Available samples are identified separately; full materials and delivery details must be confirmed before enrollment.
Pick one expensive workflow and define the operator brief.
Turn prompts into reusable SOPs and output contracts.
Ground the workflow with sources, memory, retrieval, and review rules.
Package the capstone with evals, ROI, launch checks, and proof.
Learner proof
Not published. A catalog star count is not course feedback.
See what learners build, how the course is structured, and what proof exists after completion.
Proof stack
Course feedback is published only after a verified enrollment, a lesson-completion check, and moderation.
Completion proof connects to the TECHi Alumni credential system.
Team and partner paths are available when learners need a guided route.
Course feedback is not published. The catalog does not turn a stored star count into a rating.
Outcomes you can use
Students leave with artifacts, not vague confidence.
Each outcome maps to a visible skill, assignment, or final project direction you can understand before enrolling.
Build a source-grounded AI research workflow with retrieval, memory, and citations.
Design prompt systems and reusable operating procedures instead of one-off prompts.
Ship agentic workflows that use tools, APIs, files, and human approval checkpoints.
Evaluate AI output with scorecards, failure modes, cost checks, and launch thresholds.
Package a capstone AI desk that can support content, markets, product research, or client work.
Skills covered
AgentsRAGPrompt systemsAutomationAI evalsCapstone
Instructor
Instructor to be confirmed
A responsible instructor and delivery schedule must be confirmed before enrollment opens.
Trial classroom
Inspect the available sample material.
The published sample shows the available content and exercise. It does not establish full-course delivery or instructor feedback.
Lesson preview
Map the AI stack and choose your first operator workflow
Students audit their current work, rank tasks by repetition and risk, and select the workflow they will automate through the cohort.
Assignment style
Submit a one-page workflow brief: input, output, quality bar, tools, risk, and expected time saved.
Curriculum
Planned syllabus
12 syllabus items across 6 modules. These titles do not confirm completed teaching materials or delivery.
Module 1
AI Operator Foundations
Map the AI stack and choose your first operator workflow55mfree
Models, costs, context windows, privacy, and risk45m
Module 2
Prompt Systems and SOPs
Prompt systems, roles, rubrics, and reusable instructions60m
Create a personal AI workflow library45m
Module 3
RAG, Memory, and Source-Grounded Research
RAG and memory without overengineering60m
Build an AI research desk50m
Module 4
Agents, APIs, and Automations
Agentic workflows and tool use60m
Automation blueprint: from trigger to reviewed output50m
Module 5
Evals, Safety, and ROI
Evals, scorecards, failure modes, and launch thresholds65m
AI ROI: time saved, quality gained, and risks reduced45m
Module 6
Capstone and Launch
Capstone build lab75m
Launch review and adoption plan60m
Included
Planned course materials.
Review the course materials, prerequisites, and audience fit before choosing this path.
Founding cohort early price shown before enrollment
6 live weekly workshops starting June 10, 2026
Replay access for every session
Prompt library and operating-system templates
RAG source-pack and research-desk templates
Agent workflow and human-approval blueprint
Evals, hallucination checks, and launch threshold scorecards
Capstone review checklist and certificate of completion
Private cohort Q&A thread
Best for
Founders building lean AI operations
Analysts and writers who need faster research
PMs and operators adopting AI inside teams
Marketers and creators building content engines
Freelancers who want a higher-value AI service offer
Prerequisites
No machine learning background required
Bring one real workflow to improve
FAQ
Answers before you enroll.
Use these details to understand preview access, payment, certificates, refunds, and course fit.
Can I enroll now?
New enrollments are closed. Browse an available preview or request course updates.
Is a complete course available?
The identified sample material is available to inspect. It does not verify completion or delivery of the full course.
Who will teach the course?
A responsible individual instructor has not been confirmed. Course updates will need to identify them before enrollment opens.
How is completion verified?
Completion requires the course work and a dated staff review for every required lesson. Browsing a preview does not earn a certificate.
Final step
Review availability and course updates.
Enrollment status and available sample materials are shown above. Full-course delivery, instructor support and completion requirements must be confirmed before a course opens.
Inspect the available sample material
Complete visible projects
Earn completion proof when eligible