Next intake 24 May, 2026 · 1 seats left
★ Bizflix Training · AI learning hub

Build real AI skills
with Bizflix Training.

Explore our hands-on AI curriculum, creator showcases, pricing, FAQs and admissions support in one place. Learn the tools, workflows and product-building skills modern AI teams expect.

Bizflix Training · Practical AI courses

Learn, build, and ship with AI

Courses · showcases · pricing · admissions

📸 Inside the labs

Real students. Real shipping.

Glimpses of mentor labs, capstone showcases and creator demos. Hover any tile to preview.

Vibe coding ▶
n8n ▶
Veo 3 ▶
ElevenLabs ▶
MCP ▶
Vapi ▶
★ 4.9 rating ⚡ 35+ tools live 🚀 320+ projects shipped
Why Bizflix

Built for creators who want to ship, not skim

We don't sell another video library. We're a hands-on, mentor-driven programme that takes you from "AI is interesting" to "AI is shipping in production."

🎯

Outcomes, not modules

Every week ends with a deliverable a hiring manager would actually pay for — not a quiz score.

🤝

1-on-1 mentor calls

Six private mentor calls baked into the programme. Get unstuck the same day, every time.

⚙️

35+ live AI tools

From Claude and ChatGPT to n8n, Cursor, Lovable, ElevenLabs and Sora — you'll touch them all.

🚀

Real capstone product

Graduate with a deployed AI product, a portfolio page, and an alumni network of 850+ creators.

What you can do here

Move from browsing to building with a clear route.

Bizflix Training is organized around practical decisions: what you want to learn, what you want to build, how much support you need, and when you are ready to apply.

See the learning path
01

Understand the programme

Review the curriculum, phases, tools, and expected weekly workload before you speak to admissions.

02

See proof of work

Use the showcase to inspect the type of projects and creative output learners produce.

03

Plan your enrolment

Compare pricing, payment plan details, intake timing, and the next step that fits your situation.

⚡ The journey

Five steps from curious learner to AI creator

A guided 20-week path. Each step builds on the last — by graduation you've shipped a real AI product end-to-end.

1
Apply

Pick your start date and reserve a seat

Takes 2 mins

2
Foundations

LLMs, prompt frameworks & RAG

Weeks 1–3

3
Agents

n8n, Zapier, Make + multi-agent & MCP

Weeks 4–7

4
Build & ship

Vibe-code a product with Cursor, Lovable & Claude Code

Weeks 8–12

5
Capstone

Generative content + ship your capstone live

Weeks 13–20

Explore full curriculum →
$2.4M+ earned by alumni shipping AI products
850+ creators trained across 7 batches
35+ industry tools mastered hands-on
96% would recommend the programme
Admissions support

Not sure where to start?

Send a quick question or apply directly. Our team can help you choose an intake, understand the workload, and decide whether the programme is a fit.

★ Reviews

Loved by creators, founders & analysts

Real reviews from learners who shipped real products.

★★★★★

"I joined from a marketing role with no coding background. By the end, I had a working campaign automation and a portfolio project I could confidently show employers."

A
Amelia Clarke London · marketing manager to AI builder
★★★★★

"The n8n and agent sessions were instantly useful. I built internal workflows that removed hours of manual reporting from our weekly operations cycle."

J
James Whitfield Manchester · operations lead
★★★★★

"My capstone became the first version of our customer-support assistant. The mentors helped me think through pricing, scope, and how to avoid overbuilding."

P
Priya Shah Birmingham · founder
★★★★★

"We replaced several repetitive client tasks with AI workflows. The programme gave my team a practical way to sell AI services without pretending to be a software house."

O
Oliver Bennett Leeds · agency owner
★★★★★

"I came for generative video and stayed for the product-building parts. The mix of creative tools and structured build weeks made the course feel genuinely practical."

S
Sophie Turner Bristol · designer and creator
★★★★★

"The RAG project helped me build an internal knowledge assistant prototype. It was the first AI demo at work that colleagues actually wanted to keep using."

D
Daniel Hughes Glasgow · enterprise analyst

Ready to claim your seat?

Apply in 2 minutes. No payment required to apply.

Start application