The Complete AI Curriculum is Ed Donner’s 6-course AI Engineer roadmap: six courses, one progression, 950,000+ enrollments across 194 countries. The courses complement each other and can be taken in any order — but the sequence below is the most natural path from zero to deployable AI engineer.
We mapped every course in the curriculum with live data — ratings, students, hours, and active coupons — plus the two entry points Donner himself recommends. All six retail for $149.99–$169.99 and drop to ~$9.99–$10.99 with coupons: the full roadmap for roughly $60.
Looking for more options? Browse all verified Udemy coupons or explore courses by category and topic.
At a Glance: The 6 Courses in Order
| # | Course | Rating | Students | Hours | Price |
|---|---|---|---|---|---|
| 1 | AI Builder (n8n) | ⭐ 4.8 | 36,318 | 14.5h | ~$9.99 |
| 2 | AI Coder (Claude Code) | ⭐ 4.6 | 94,663 | 16h | ~$9.99 |
| 3 | AI Leader (Executives) | ⭐ 4.6 | 40,963 | 3.5h | ~$10.99 |
| 4 | Core Track (LLM Engineering) | ⭐ 4.7 | 341,040 | 41.5h | ~$9.99 |
| 5 | Agentic Track (Agents + MCP) | ⭐ 4.7 | 388,789 | 17h | ~$9.99 |
| 6 | Production Track (Deploy at Scale) | ⭐ 4.7 | 55,696 | 18.5h | ~$9.99 |
Total: ~107 hours · ~957,000 students · ~$60 for all six with coupons (vs ~$920 retail). Browse all deals for more discounted courses.
Where to Begin: Two Entry Points
Not sure where to start? Donner gives you two doors into the curriculum:
- Use Products to build Agents → Start with AI Builder (#1). Create agents in n8n with zero code. Best for non-coders, operators, and founders.
- Use Agents to build Products → Start with AI Coder (#2). Build real software with Claude Code and coding agents. Best for developers who want to ship.
Both paths converge on the Core → Agentic → Production trilogy. AI Leader (#3) can be taken anytime — it is a 3.5-hour executive briefing, not a coding course.
1. AI Builder: Create Agents, Voice Agents & Automations in n8n
🛠️ Best Starting Point for Non-Coders | ⭐ 4.8/5 · 36,318 Students · Ed Donner, Ligency · 14.5 hours
Review
The highest-rated course in The Complete AI Curriculum at 4.8 stars — and the designated starting line for non-coders. You build autonomous agents that plan, reason, and execute business workflows in n8n without writing a single line of code.
The project list is strikingly commercial: a financial agent that rebalances portfolios, a voice agent handling live phone calls via ElevenLabs and Twilio, and a multi-agent go-to-market system scraping leads with MCP and FireCrawl. This is freelancers-and-founders material from lesson one.
Curriculum Highlights
- Autonomous n8n Agents: Plan, reason, and execute complex workflows — zero code
- Voice Agents: ElevenLabs + Twilio + Supabase RAG for live call handling
- Go-to-Market System: Multi-agent lead scraping, enrichment, and meeting scheduling
- Business-First Projects: Every build maps to a billable client outcome
Pros & Cons
Pros: Highest rating (4.8); genuinely zero prerequisites; most directly monetizable skills; perfect curriculum on-ramp.
Cons: n8n-specific — concepts transfer, clicks don’t; developers may outgrow it fast (that’s what #2–#6 are for).
Verdict
9/10 — Start here if you don’t code. The fastest route from zero to paid agent work.
Retail: $149.99 → ~$9.99 with coupon (93% off)
2. AI Coder: Complete Claude Code & Coding Agents Course
💻 Best for Developers Who Ship | ⭐ 4.6/5 · 94,663 Students · Ed Donner, Ligency · 16 hours
Review
The developer’s door into the curriculum. AI Coder takes you from “vibe coding” curiosity to agentic engineer in a structured path: a feature-rich personal website with an AI digital twin, a chat-driven Kanban platform, a SaaS legal assistant with PDF output, and a capstone realtime trading workstation on live market data.
The advanced workflows section (Ralph Loops, feature-dev, GSD, Jira/GitHub integration) is what separates this from generic Claude Code tutorials — it teaches how professionals actually ship with agents.
Curriculum Highlights
- 4 Shipped Products: Website, Kanban platform, legal SaaS, trading workstation
- Agentic Workflows: Ralph Loops, feature-dev loops, GitHub/Jira integration
- Vibe-to-Engineer Path: Structured 3-week transformation, not random tips
- Real Data: Live market feeds, real document generation, real deployments
Pros & Cons
Pros: 94,000+ students; portfolio of four real products; professional agent workflows; ideal precursor to the Core Track.
Cons: Assumes comfort with code; Claude-Code-centric (pairs well with, not replaces, the framework breadth of #5).
Verdict
8.5/10 — Developers start here. You will ship real software in weeks.
Retail: $149.99 → ~$9.99 with coupon (93% off)
3. AI Leader: Generative AI & Agentic AI for Leaders & Founders
👔 Best for Executives | ⭐ 4.6/5 · 40,963 Students · Ed Donner, Ligency · 3.5 hours
Review
The only non-coding course in the curriculum after AI Builder — a 3.5-hour executive briefing on delivering commercial impact with AI. Built for founders, managers, and leaders who commission AI work rather than build it: strategy, use-case selection, ROI thinking, and managing technical teams.
Take it anytime in the sequence. For leaders, take it first — it frames everything else. For builders, take it when you start selling to clients.
Curriculum Highlights
- Executive Framing: Where GenAI and agents create commercial value
- Founder Playbook: Use cases, prioritization, and build-vs-buy judgment
- Team Leadership: How to direct technical AI work without coding it
- 3.5 Hours: One focused sitting, zero filler
Pros & Cons
Pros: Only leadership-focused course in the set; short and dense; 40,000+ leaders enrolled.
Cons: Not a skills course — builders should treat it as context, not training.
Verdict
8/10 — Required viewing for founders and managers; optional context for engineers.
Retail: $169.99 → ~$10.99 with coupon (94% off)
4. AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents
🧠 The Foundation | ⭐ 4.7/5 · 341,040 Students · Ed Donner, Ligency · 41.5 hours
Review
The heavyweight of the curriculum: 41.5 hours, 341,040 students, 4.7 stars. This is where you learn to select, build, and optimize LLMs properly — RAG knowledge workers, multimodal support agents, QLoRA fine-tuning, meeting-minutes pipelines across open and closed models, even Python-to-C++ optimization at 60,000x speedups.
Everything downstream (Agentic, Production) assumes this layer. If you only understand LLMs from prompting, this is the course that makes you an engineer.
Curriculum Highlights
- RAG Systems: Company-expert knowledge workers and multimodal support agents
- Fine-Tuning: QLoRA and open/closed-source model selection
- 8 Production Projects: Brochure generators, meeting pipelines, code optimizers
- Engineering Rigor: Evaluation, optimization, and deployment thinking throughout
Pros & Cons
Pros: Deepest single course in the set; 341,000-student validation; prerequisite that pays off across #5 and #6.
Cons: 41.5 hours is the longest commitment here; demands Python comfort.
Verdict
9/10 — The foundation everything else stands on. Non-negotiable for aspiring AI engineers.
Retail: $149.99 → ~$9.99 with coupon (93% off)
5. AI Engineer Agentic Track: The Complete Agent & MCP Course
🤖 The Flagship | ⭐ 4.7/5 · 388,789 Students · Ed Donner, Ligency · 17 hours
Review
The flagship: the most-enrolled course in the curriculum and the highest-validated agent course on Udemy. Six weeks across OpenAI Agents SDK, CrewAI, LangGraph, and AutoGen, ending in a full MCP week — 8 projects from a career digital twin to a 4-agent trading floor on 6 MCP servers and 44 tools.
Read our full Agentic Track review for the complete breakdown.
Curriculum Highlights
- 8 Shipped Projects: Twin, SDR, deep research, stock picker, engineering team, Sidekick, agent creator, trading floor
- 4 Frameworks + MCP: No single-vendor lock-in
- Zero-API Path: Full course completable with no API spend (frontier use under $5)
- Self-Study Labs: Onboard weaker coders without leaving the course
Pros & Cons
Pros: Unmatched social proof (388,000+ at 4.7); portfolio of 8 systems; multi-framework coverage; honest $0-spend path.
Cons: 6-week commitment; breadth over single-framework depth.
Verdict
9.2/10 — The course the whole curriculum points to. Take it after Core.
Retail: $149.99 → ~$9.99 with coupon (93% off)
6. AI Engineer Production Track: Deploy LLMs & Agents at Scale
🚀 The Finish Line | ⭐ 4.7/5 · 55,696 Students · Ed Donner, Ligency · 18.5 hours
Review
The course that turns builders into professionals. Tutorials stop at localhost; this track ships: SaaS LLM apps on Vercel, AWS, Azure, and GCP with Clerk auth, Terraform-driven Dev/Test/Prod rollouts, GitHub Actions pipelines, Bedrock and SageMaker integration, and enterprise guardrails — scalable, secure, monitored, explainable.
Take it last. It assumes everything the previous five teach and converts it into employable, client-ready capability.
Curriculum Highlights
- Multi-Cloud Deploy: Vercel, AWS, Azure, GCP with Lambda, S3, CloudFront, App Runner
- IaC & CI/CD: Terraform environments, GitHub Actions shipping
- Enterprise Grade: Guardrails, observability, Bedrock/SageMaker, GPT-5 and Claude 4
- Capstone Polish: Production systems you can demo to employers
Pros & Cons
Pros: Only deployment-focused course in the set; genuine DevOps + MLOps skills; highest salary leverage per hour.
Cons: Assumes prior tracks; cloud accounts needed for full practice.
Verdict
8.5/10 — The finish line. This is what makes you hirable, not just skilled.
Retail: $159.99 → ~$9.99 with coupon (94% off)
Comparison Table
| # | Course | Rating | Students | Hours | Coding? | Price |
|---|---|---|---|---|---|---|
| 1 | AI Builder | ⭐ 4.8 | 36,318 | 14.5h | No | ~$9.99 |
| 2 | AI Coder | ⭐ 4.6 | 94,663 | 16h | Yes | ~$9.99 |
| 3 | AI Leader | ⭐ 4.6 | 40,963 | 3.5h | No | ~$10.99 |
| 4 | Core Track | ⭐ 4.7 | 341,040 | 41.5h | Yes | ~$9.99 |
| 5 | Agentic Track | ⭐ 4.7 | 388,789 | 17h | Helpful | ~$9.99 |
| 6 | Production Track | ⭐ 4.7 | 55,696 | 18.5h | Yes | ~$9.99 |
How to Choose Your Path
- Non-coder / operator / founder? → #1 Builder, then #3 Leader. Add #5 later for agent depth.
- Developer who ships? → #2 Coder → #4 Core → #5 Agentic → #6 Production. The full trilogy plus foundations.
- Leader / executive? → #3 Leader first, then commission with confidence.
- Only have time for one? → #5 Agentic Track — the flagship, 388,000+ students.
- Want the credential? → Complete all six with deployed projects, then join the Proficient AI Engineer directory.
FAQ
What is The Complete AI Curriculum?
Ed Donner’s 6-course AI Engineer roadmap on Udemy — Builder, Coder, Leader, Core, Agentic, and Production tracks — totaling ~107 hours with 950,000+ combined enrollments.
What order should I take the courses?
Builder → Coder → Leader → Core → Agentic → Production. Non-coders enter via Builder; developers enter via Coder; both converge on the Core-Agentic-Production trilogy.
How much does the full curriculum cost?
About $60 total with coupons (~$9.99 × 5 plus ~$10.99 for AI Leader), versus ~$920 at retail. Never pay list price on Udemy.
Do I need Python?
Not for Builder (no-code) or Leader (executive). Core, Agentic, and Production benefit from Python basics, with labs included to catch up.
What is the Proficient AI Engineer directory?
Donner’s directory for graduates who complete the milestones and ship real projects — discoverable by clients and employers hiring AI engineers.
Which course first?
Non-coders: AI Builder (4.8★). Developers: AI Coder. LLM fundamentals gap: Core Track (41.5h). Maximum single-course value: Agentic Track.
Every Udemy course has a 30-day money-back guarantee. All six courses available at ~$9.99–$10.99 with active coupons.
Related Resources
- All Verified Udemy Coupons — Browse the latest deals
- Ed Donner’s Courses — All 6 with live coupons
- Agentic Track Review — Full flagship breakdown
- AI Engineer Roadmap 2026 — Complete career guide
- Best Agentic AI Courses — Compare top agent courses
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