🦞 Running Local LLMs

30-min lesson · Certificate included · Beginner

$9 Enroll Now →
● Beginner 🔒 Level 1 Final Course ⏱ 30 min

Running Local LLMs:
Private. Fast.
Yours.

Stop paying per token. Stop sending your data to the cloud. This 30-minute course shows you exactly how to run Llama, Mistral, and Gemma on your own hardware — and connect them to OpenClaw for fully private, zero-cost agent workflows.

Run Ollama locally
Llama & Mistral & Gemma
LM Studio setup
OpenClaw integration
Model selection guide
Hardware optimization
18Slides
30mDuration
6Live Demos
100%Beginner Safe
🦞
18 slides
$9 $29 Launch Price

One-time · Lifetime access

Enroll in Running Local LLMs →

🔒 30-day money-back guarantee

This course includes

📊 18 structured slides
🎬 Full video walkthrough
🔨 Live build demonstration
✍️ End-of-course quiz
📜 Personalized PDF certificate
♾️ Lifetime access
🏅
Counts toward Level 1 Certification

This course is a required module for your Claw Operator certification.

★★★★★
4.9/5 from early students
🦞Official OpenClaw curriculum
📜Certificate auto-issued on pass
🔒30-day money-back guarantee
Instant access after purchase

After 30 Minutes, You'll Have
Local LLMs Running on Your Machine.

These aren't vague "you'll understand AI" promises. These are the specific, testable skills you'll walk away with — and the setup you'll have working.

01
Install and configure Ollama on your machine — and run your first local model within the first 15 minutes of the course
02
Pull and run Llama 3, Mistral 7B, and Gemma locally — understanding exactly what each model is good for
03
Connect OpenClaw to your local Ollama instance so your agents run entirely on your hardware with zero cloud API calls
04
Use LM Studio to visually browse, download, and manage quantized models — and understand what quantization actually means
05
Tune performance for your specific hardware — context length, thread count, GPU layers — and know which settings matter
06
Know exactly when local LLMs are the right call vs. cloud models — and build the infrastructure judgment every agent engineer needs

Every Slide. Every Minute.
Nothing Wasted.

18 dense, structured slides across 4 teaching blocks. From Ollama installation through full OpenClaw integration.

Block 1 — Why Local (Slides 1–4) ~5 min
01🎯Local vs Cloud LLMs — The Real TradeoffsConcept
02🔒Privacy, Cost, and Latency: Why Local Wins for AgentsConcept
03🗺️The Local LLM Landscape — Ollama, LM Studio, and MoreConcept
04💻Hardware Requirements — What You Can RunConcept
Block 2 — Ollama Setup (Slides 5–10) ~11 min
05📦Installing and Configuring OllamaDemo
06🦙Pulling and Running Llama 3Demo
07🌬️Pulling and Running MistralDemo
08💎Pulling and Running GemmaDemo
09🔌The Ollama API — How OpenClaw ConnectsConcept
10🦞Connecting OpenClaw to Ollama — Config and VerificationDemo
Block 3 — LM Studio + Optimization (Slides 11–15) ~10 min
11🖥️LM Studio — The Visual Interface for Local LLMsDemo
12📊Model Comparison — When to Use Which ModelConcept
13Performance Tuning — Context Length, Threads, GPU LayersConcept
14🔄Switching Models in OpenClaw Without RestartingDemo
15Checkpoint: Local LLM Configuration QuizRecap
Block 4 — Level 1 Complete (Slides 16–18) ~4 min
16🏆You've Completed the Beginner Track — What You Can Now BuildRecap
17🗺️The Level 2 Path: Multi-Agent Systems and BeyondRecap
18✍️End-of-Course Quiz — Unlock Your CertificateQuiz
Course at a Glance
Total Duration30 minutes
Slides18 slides
Live Demo6 demos
Teaching Blocks4 blocks
QuizRequired to pass
CertificateAuto-issued
LevelBeginner
PrerequisitesNone
Price$9
Enroll for $9 →

Running Local LLMs Is Designed
for a Specific Builder.

This course is intentionally built for the person who is starting their AI agent journey — not the person who already has. Know which one you are.

This is for you if…
  • You're tired of paying API costs for every agent run and want to cut that to zero
  • You care about data privacy and want to keep all LLM inference on your own hardware
  • You've heard of Ollama or LM Studio but haven't set them up end-to-end yet
  • You want to complete the Level 1 Claw Operator certification path
  • You've finished the first 5 ClawAcademy courses and are ready to go local
  • You want a practical, hands-on setup guide — not another theoretical overview
Skip this if…
  • You've already built and deployed production AI agent systems
  • You can confidently explain LLM tool use, memory, and planning to a team
  • You're already working through ClawAcademy's Intermediate or Advanced tracks
  • You're looking for advanced security, architecture, or multi-agent content
👉 Already past basics? Start at Multi-Agent Systems or Secure Agent Design.

Every Lesson Includes
a Real Build. Not a Mockup.

The cloud charges you per token, logs your data, and can change its terms tomorrow. Local LLMs give you privacy, speed, and complete control. This course shows you exactly how to run powerful models on your own hardware — and connect them to OpenClaw.

01# Install & pull a model
02$ ollama pull llama3
03pulling manifest... ████████ 100%

04# Connect OpenClaw to Ollama
05agent = OpenClaw(
06 model="ollama/llama3",
07 base_url="http://localhost:11434"
08)

09agent.run("Summarize my notes")

10# 100% local. Zero API cost.
11# Zero data leaves your machine.
12# ✓ Running on your hardware.

Six Live Demos Across Blocks 2 & 3

You won't just watch someone explain local LLMs — you'll watch a real Ollama setup happen from scratch. Install, pull models, verify the API, connect OpenClaw, switch models live, and tune performance settings. Each step is executed in real time with every command shown.

By the end, you'll have a working local LLM stack — not just the knowledge of how to build one.

  • Watch Ollama install and a model pull from zero in real time
  • See Llama 3, Mistral, and Gemma each run locally with live prompts
  • Watch OpenClaw connect to Ollama and execute a full agent task locally
  • See LM Studio's model browser and download quantized models visually
  • Watch model-switching in OpenClaw without restarting the agent runtime

Taught by the Person
Who Built OpenClaw.

🦞
Founder — AaronWiseAI / OpenClaw
Aaron Wise
AI Agent Engineer · Automation Architect · Creator of OpenClaw
Aaron built the OpenClaw platform to solve a real problem: deploying and managing AI agents in production without enterprise budgets or bloated tooling. He created ClawAcademy because the structured, engineering-grade training he needed when he started didn't exist. Every lesson in this course reflects real production experience — not YouTube summaries, not theoretical frameworks. If Aaron teaches it, he's built it in the real world first.
AI Agent Systems OpenClaw Creator Multi-Agent Architecture Prompt Security LLM Infrastructure Production AI Deployments

What Builders Said After
Running Local LLMs

★★★★★
"I'd been putting off setting up Ollama for months because every tutorial felt overwhelming. This course had me running Llama 3 locally in under 20 minutes. Genuinely the clearest setup walkthrough I've found."
DL
Devon L.
Claw Operator · Backend Engineer
★★★★★
"I was spending $200/month on OpenAI for my agent workflows. After this course I migrated everything to Ollama + OpenClaw. Cost is now basically zero and the latency is faster. Paid for itself immediately."
MT
Marcus T.
Claw Builder · Startup Founder
★★★★★
"The slide on model selection — when to use Mistral vs. Llama vs. Gemma — alone saved me hours of experimentation. Aaron explains the tradeoffs in a way nobody else does."
AK
Anika K.
Claw Operator · AI Researcher

Pass the Quiz.
Get the Certificate. Earn the Level.

ClawAcademy · Official Certificate
CLAWACADEMY
This certifies that
Your Name Here
has successfully completed
Running Local LLMs
🏅 Level 1 — Claw Operator Path

Your Certificate Is
Automatically Issued.

No waiting, no approval queue, no manual process. Complete the quiz, hit the passing score, and your personalized PDF certificate lands in your inbox within minutes — generated by Autocrat with your full name and a unique certificate ID.

  • 01
    Complete the 30-minute lesson Watch the slides, follow the live demo, and take in the full curriculum.
  • 02
    Pass the end-of-course quiz Hit the required score on the Google Form quiz. You can retake as many times as needed.
  • 03
    Receive your PDF certificate Autocrat generates a personalized certificate with your name and unique ID. Delivered to your inbox automatically.
  • 04
    Count it toward Claw Operator This course is a required module for your official Level 1 certification. Every course builds toward your ladder.

Thirty Minutes From Now,
You'll Have Local LLMs Running.

Running Local LLMs

Beginner · 30 min · Certificate included

$9
  • Full 18-slide structured lesson
  • Complete video walkthrough
  • 6 live setup demonstrations (Blocks 2 & 3)
  • End-of-course quiz (retake unlimited)
  • Personalized PDF certificate on pass
  • Counts toward Level 1 Claw Operator cert
  • Lifetime access to course materials
Enroll in Running Local LLMs — $9 → 🦞 Get All 17 Courses — Founders Access $67/yr
🔒 30-day money-back guarantee — no questions asked
Want all 17 courses + all 5 cert levels? Founders Access unlocks the entire ClawAcademy curriculum for $67/yr — launching at $97. Lock in now.
See Founders Access →

Questions About
Running Local LLMs

Minimal coding experience is helpful but not required. The course covers Ollama CLI commands (simple terminal operations) and OpenClaw configuration. If you've completed AI Agents 101 and Introduction to OpenClaw, you have everything you need. No Python or programming background is required.
Minimum: 8GB RAM to run 7B models (Mistral 7B, Gemma 7B) at reduced performance. Recommended: 16GB RAM for comfortable 7B model runs. Optimal: 32GB+ RAM and a GPU for 13B–70B models. The course covers exactly what you can run on your hardware with practical performance expectations.
The lesson itself is 30 minutes — 18 slides across 4 teaching blocks. The end-of-course quiz adds approximately 5–10 minutes depending on your pace. Total seat time: under 45 minutes from start to certificate.
No problem — you can retake the quiz as many times as needed. Review the lesson materials, revisit the checkpoint in Block 2, and try again. The passing score exists to ensure the certificate means something. We want you to earn it.
No. ClawAcademy requires zero accounts, no login, and no dashboard. Access the lesson directly after purchase, complete the Google Form quiz, and your certificate is auto-generated and emailed to you. We built it lean on purpose.
ClawAcademy certificates are issued by the official OpenClaw / AaronWiseAI institution. They're professionally designed PDF documents personalized with your name and a unique certificate ID. As the OpenClaw ecosystem grows — which it is — the credential value grows with it. You're getting in early.
Completing Running Local LLMs finishes your Level 1 Claw Operator certification. Your next step is the Level 2 track, which starts with Multi-Agent Systems — how to build agents that coordinate with each other. From there: Agent Memory Systems, API Integrations, Secure Agent Design, and Docker Basics for AI Engineers round out Level 2.
Yes. You have 30 days from purchase. If you complete the course and genuinely feel it didn't deliver the foundational understanding it promises, email us and we'll refund you completely — no hoops, no questionnaires.