Turn business problems into working AI solutions without becoming a developer. Bring a problem from a client, your business, or an idea. Leave with something you can sell, run, or launch.
Source: PwC AI Jobs Barometer 2026
≈8× faster
AI-skilled job growth
AI skills
+69%
Market
+9%
+62%
AI wage premium
AI-skilled role
162
Comparable
100
ADMISSIONEnrolling · Sept 12
By application
Duration6 weeks
FormatHybrid · live & recorded
Live sessionsSat · 10am–2pm ET
CohortSeptember 12, 2026
Tuition$1,999
Seats remaining6–8 hours/week
The problem
Tutorials don't ship. Deployed systems do.
Learning alone
Sells hours
Tutorials, no deployments
No offer to sell
Waits for a developer
vs
Syntax Fellowship
Ships a live solution
A defined offer
Retainers and products
Builds it yourself
Most people watch AI get built. Business graduates ship deployed systems.
Why Syntax is different
Four reasons professionals choose Syntax
AI EXPERTS
Learn from AI practitioners
Learn from mentors who actively use Claude and AI tools for automation, research, content creation, coding, and real business workflows.
HANDS-ON
Learn by Building
Complete hands-on projects, practical exercises, and real-world assignments that help you apply Claude with confidence.
INSTRUCTOR LED TRAINING
Support Beyond the Classroom
Get live mentor guidance, Q&A sessions, recordings, and community support throughout learning journey.
FOUNDED IN 2017
Apply AI with confidence
We've helped learners build practical technology skills through structured, instructor led programs since 2017.
Proof, not promises
What you can build in this program
Marketing manager · Agency · Example scenario
He turned one blog post into a week of client content
A single Claude Skill takes each client blog post and produces a full week of LinkedIn posts and email copy, in the client's voice.
Input1 post per client
Output7 days of content
6hBack every weekone post in, a week of content out
Freelance consultant · Example scenario
She shipped a client-winning machine during the program
A portfolio site and client intake system, planned and shipped with Claude Code, live before the program ended.
ShippedSite + intake system
Built withClaude Code week 2
2Retainer clients signedsite + intake live before Demo Day
Account executive · B2B SaaS
His pipeline now qualifies itself
An AI employee wired into the CRM qualifies every inbound lead and drafts the first outreach email, before he's even seen it.
LeadsQualified automatically
OutreachDrafted for review
5hSaved every weekdemos book themselves
The program journey
Six modules, one solution, shipped
Your own problem or idea, carried through six weeks: Cowork, Skills, Claude Code, Design, Workflows, then shipped as a product.
01
Module 01
Foundations, problem and Cowork
Find the right problem, map who you are really solving for, scope it to an MVP, then automate one recurring task end to end in Claude Cowork.
What you'll learn
The Claude ecosystem: Cowork, Code, Skills, Plugins
Finding the right problem and mapping stakeholders
Requirements and MVP scoping before you touch a tool
Problem framingStakeholder mappingClaude CoworkScheduling & connectors
02
Module 02
Skills and Plugins
Package your know-how so it runs the same way every time: custom Claude Skills built from templates and from scratch, tested three ways, plus plugins you install, customise and publish.
Five Skill design patterns and effective instructions
Testing your Skills with three proven methods
Plugins: installing, customising and publishing your own
Learning outcomes
A packaged Skill anyone on your team can run
A before and after pair showing what the Skill changes
A plugin installed or published for your workflow
Used in industries
AgenciesConsultingEducationStartups
Projects you'll build
01
Your custom Skill
Tone, rules and format encoded.
02
The before and after pair
Same brief, with and without.
Tools you'll use
ClaudeGitHubNotion
Career skills gained
Claude SkillsSkill testingPluginsInstruction design
03
Module 03
Claude Code
Move from assisted work to always-on systems. Learn when a workflow engine beats a chat interface, install and operate n8n, connect anything through APIs and webhooks with proper authentication, then read and write real databases with pipelines that survive failure.
What you'll learn
Claude vs n8n / Make / Zapier — when to reach for a workflow engine
The n8n canvas: nodes, executions, triggers, branching & scheduling
APIs, the HTTP Request node & webhooks in real time
Move from assisted work to always-on systems. Learn when a workflow engine beats a chat interface, install and operate n8n, connect anything through APIs and webhooks with proper authentication, then read and write real databases with pipelines that survive failure.
What you'll learn
Claude vs n8n / Make / Zapier — when to reach for a workflow engine
The n8n canvas: nodes, executions, triggers, branching & scheduling
APIs, the HTTP Request node & webhooks in real time
Move from assisted work to always-on systems. Learn when a workflow engine beats a chat interface, install and operate n8n, connect anything through APIs and webhooks with proper authentication, then read and write real databases with pipelines that survive failure.
What you'll learn
Claude vs n8n / Make / Zapier — when to reach for a workflow engine
The n8n canvas: nodes, executions, triggers, branching & scheduling
APIs, the HTTP Request node & webhooks in real time
Put intelligence inside your workflows and ship the result. Connect LLM providers, engineer prompts you can evaluate, build agents with tools and memory, ground them in company knowledge with RAG, then deploy, monitor and document real products before the capstone.
What you'll learn
Connecting Claude, OpenAI & Gemini into n8n with structured output
Prompt engineering plus evals that prove prompt quality
AI agents: tools, memory, autonomy & multi-agent orchestration
RAG, embeddings & vector databases over company knowledge
MCP, deployment, monitoring, documentation & the capstone
Learning outcomes
Build agents whose output you can measure, not just hope for
Ground any agent in your own documents with RAG
Ship, monitor and document a real agentic automation
Used in industries
SalesRecruitingFinancial ServicesHealth & Fitness
Projects you'll build
01
A customer-support agent
Claude plus n8n plus RAG, answering from company knowledge.
02
A sales / ops automation
Lead through CRM to follow-up, running end to end.
03
Your capstone and portfolio
A deployed agentic automation, two proof points and a job-ready resume.
Each module is reinforced through practical assignments, guided activities and structured feedback, so you apply what you learn as the programme progresses.
Week by week
Week 1
Assignment· 60 min
Scope the problem: stakeholders, brief, MVP cut
Assignment· 75 min
Automate one recurring task in Claude Cowork
Week 2
Assignment· 75 min
Build and submit a custom Claude Skill
Assignment· 30 min
Test the Skill three ways, then hand it to a peer
Week 3
Assignment· 90 min
Build and deploy a working app with Claude Code
Assignment· 45 min
Live peer code review session
Week 4
Assignment· 75 min
Design and publish a client-ready page or deck
Assignment· 30 min
Live Q&A on Claude for your track
Week 5
Assignment· 90 min
Build an always-on n8n workflow from a webhook
Assignment· 30 min
Break it on purpose: malformed input, retries, logs
Week 6
Assignment· 90 min
Ship a RAG agent over real docs, deployed and monitored
Capstone project
Bring everything together in your final capstone
Package a production AI solution, the app, the workflow, the agent grounded in real documents, deployed and monitored, and present it with the offer that sells it.
A deployed solution, monitored and versioned
A knowledge base built from real client docs
A one-page service offering you could sell
Present your approach and outcomes
Leave with a portfolio-ready asset
Download the complete module-by-module fellowship breakdown.