Immediate skill
Build a source-grounded AI research workflow with retrieval, memory, and citations.
AI and automationAdult professionalsCertificate path
Founding Cohort - starts June 10, 2026
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.
A six-week live cohort for practical agents, RAG, prompt systems, automations, evals, and a capstone AI desk you can use at work. Founding cohort pricing is shown before enrollment and includes templates, replays, and certificate verification.
Rating
4.9 / 5
37 learner ratings
Starts
Jun 10
Founding Cohort - starts June 10, 2026
Workload
30 hours
12 lessons
Price
$395
Members $296
Learner confidence
This course is built around practical output: preview first, learn with a structured classroom, and finish with proof you can share.
PreviewProjectsFeedbackProof
4.9 / 537 learner ratings
Trial-firstLesson preview included
Jun 106 week path
100 seatsCohort-based learning
Why this course works
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.
Real 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
AgeAdult professionals
OutcomeAI operator
A-Z learning system
The full course path is designed before a learner enters the classroom.
You can see the learning path, classroom rhythm, assignments, proof assets, and capstone outcome before you enroll.
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
4.9 / 5 from 37 course ratings.
See what learners build, how the course is structured, and what proof exists after completion.
Proof stack
Published ratings reflect learner feedback collected after lessons and projects.
Completion proof connects to the TECHi Alumni credential system.
Team and partner paths are available when learners need a guided route.
"The value is the workflow: the lessons push toward a useful artifact instead of a pile of passive videos."
Operator signal
AI operator
Reusable work system
"It is easy to understand what the learner gets: preview access, assignments, project work, and certificate proof."
Manager signal
Team lead
Clear team fit
"The page makes the next step obvious. I can inspect the trial lesson before deciding whether to enroll."
Builder signal
Course learner
Confident enrollment
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
TECHi Editorial and Analyst Desk
AI operators, market analysts, and editorial systems builders
Trial classroom
Preview the teaching style before you enroll.
The first lesson is open so you can inspect the classroom rhythm, assignment style, and project path before committing.
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
A clear path from first lesson to final proof.
12 lessons across 6 modules, designed for 30 hours of guided work.
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
Everything included in the course.
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.
How much does the founding cohort cost?
The founding cohort price is $395. The regular cohort price is planned at $695 after founding seats close. Eligible TECHi member pricing is applied securely during enrollment.
When does the cohort start?
The first cohort starts on June 10, 2026. Students get the trial lesson, syllabus, templates, and enrollment confirmation before the live sessions begin.
Is this a beginner course?
It is beginner friendly, but not passive. You do not need machine learning experience, but you should be ready to build workflows, test outputs, and submit a capstone.
Why not just use free YouTube tutorials?
Free tutorials usually teach isolated tools. This course makes students build a complete workflow with sources, prompts, automations, evals, approval checkpoints, and a business-ready capstone.
What happens after payment?
Payment activates your TECHi Learn enrollment, the private classroom, lesson progress, templates, replays, and certificate path.
Final step
Start with the preview. Finish with proof.
The goal is not passive course consumption. The goal is a finished skill, a useful artifact, and a verifiable TECHi learning record.
Preview the classroom first
Complete visible projects
Earn completion proof when eligible