Claude

ChatGPT

LangChain

CrewAI

Microsoft

Sol Farahmand

AI Engineer | 2X Entrepreneur | AI Hackathon Winner

Learn To Work With Open Models To Run Free Coding Agents

MindStudio

Lovable

AI Hackathon Winner | 2X Entrepreneur | AI Workflow Builder

Learn to connect Open Code to a free open model by connecting to Ollama.

Connect an open model to your coding agent

Learn to run an open source coding agent locally without paying for API tokens.

Set up a local coding agent for free

Learn to evaluate models like GLM, DeepSeek, and Qwen for real coding work.

Compare open models for coding tasks

Learn to run agentic coding workflows on open models entirely for free.

Run a coding agent without a Claude subscription

Build Autonomous Agents That Work While You Sleep. 10 Ready-to-Run Blueprints.

Professor & AI expert (600K+ Students)

HSBC

General Motors

Samsung

Dr. Ryan Ahmed

Professor, AI expert, & YouTuber who has taught 540,000+ learners worldwide.

Director of Engineering @Launchpad.AI

Nike

Levi's

Mr. Cooper

Launchpad

Kukesh Kodess

Director of Engineering with 7+ years building cutting-edge AI/ML systems

Cohort 4

Cohort 5

⭐"Join the instructor trusted by 600K+ students with 40K+ five-star reviews and 60M+ minutes of AI training watched worldwide."Stop Prompting. Start Delegating. Build an Agent That Actually Knows You in 1 Day.10 Blueprints. 100+ Slides. Claude Code + Cowork. Everything Runs From Your Phone.Most AI workshops teach you to prompt a chatbot. This one builds you a personal AI agent that knows how you think, connects to your real tools, and runs tasks while you sleep.What you walk away with:✅ Claude Code + Cowork fully configured &amp; ready to build during the workshop✅ Multi-agent teams that research, write, &amp; review in parallel✅ "Soul.md" identity file, your agent writes &amp; thinks like you✅ 10 ready-to-run automation blueprints✅ Email, calendar, Drive, Notion, &amp; GitHub wired in via MCP✅ Phone control via Dispatch + Telegram, assign tasks from your couch✅ Custom skills, plugins, and slash commands✅ Scheduled agents: morning briefs, market scans, sprint updates; all automated✅ Persistent memory via Obsidian so your agent gets smarter over time✅ 100+ slide Agentic AI guide to keep building after the workshop✅ Pre-recorded setup videos + lifetime access to the recording of the live workshop

Become an AI-native professional capable of deploying agents, automating workflows, and scaling your productivity.

Build and deploy your own AI agent with Claude Code & Cowork

Create 10 Agentic AI automations for work, research, and business operations

Integrate AI agents with email, calendars, Notion, and MCP tools

Automate data analysis, dashboards, reports, and presentations

Founders, operators, and professionals who want to build personal AI agents to automate workflows and scale their output

Product managers and software engineers looking to prototype and deploy production-ready agent systems quickly

Builders and knowledge workers who want to move beyond demos and build their own personal AI agents using Claude Code in a day

Build robust LLM-powered apps, chatbots, and agents. Learn by writing real code, one line at a time.

CEO @ Actualize

Jay Wengrow

Software Engineer and Educator, Author of A Common-Sense Guide to AI Engineering

Cohort 2

Cohort 3

Do you have a grasp of basic LLM principles but struggle to put it all into code? Tired of scattered documentation, outdated tutorials, and frameworks that impress in demos but collapse in production?You’re not alone. Building with large language models doesn’t have to be confusing - it can be clear, structured, and deeply rewarding.In this course, you’ll build real LLM-powered apps, one line of code at a time. You'll see how an app is built from scratch in real time, and follow along. Along the way, you'll discover not only how to implement these systems, but the why behind each line of code.From chatbots to agents and RAG to evals, you’ll learn the core concepts of building atop LLMs. More importantly, you’ll get how LLMs “think” - allowing you to guide them to do what you want despite their nondeterministic nature. Additionally, you’ll be able to balance quality, latency, and cost, making big-picture decisions about AI-powered app architecture.AI engineering isn’t just another branch of software development - it’s a different mindset altogether.

Gain hands-on AI Engineering proficiency by writing real code

Gain real-world intuition for working with LLMs

Reliably guide LLMs instead of getting unpredictable results.

Build retrieval-augmented assistants that can access proprietary knowledge

Use evals to systematically optimize your LLM app’s performance over time

Assemble agents that act upon the real world

This course is designed for current software engineers who will use Python  to build LLM-powered apps. We won't teach basic coding here.

Software Engineering

We'll be using Python, but we'll keep it simple in case you're more familiar with other coding languages.

Note about Python

If you want an inside look at what's involved with building AI apps but don't plan on coding yourself, you'll still follow what's going on.

Exception: Product Managers

Software engineers who want to build LLM-powered chatbots and agents, or break into AI engineering more generally

Data Scientists/Engineers who want to build their own LLM-powered apps

Product Managers who want to AI engineering literacy to dream bigger and spec sharper

From manual coding to secure, spec-driven AI workflows with Docker, and CI/CD. You’ll leave with a live, automated pipeline.

Software Engineer - IT Trainer 

Jorge Miralles Fernández

Software Engineer. IT Trainer. EdTech Entrepreneur.

While commercial AI tools are convenient, true engineering excellence requires knowing how to build, fine-tune, and control your own developer tooling without cloud vendor lock-in. Understanding the open-source AI Coding Agent opencode is the ultimate superpower for developers who need to protect data privacy, reduce costs, and customize AI to specialized environments.

Ship reliable code faster with secure AI workflows.

Build secure, local AI development environments from scratch

Drive engineering velocity using specification-based workflows and e2e testing

Complete workflow with Skills. How to use Figma with OpenCode.

Add a database to your application. Deploy to Render.

The Junior &amp; Mid-Level Developer

Go from staring at a blank folder to a Claude Code AI system that you actually use in your life or business, in 4 weeks.

Founding Batch

Production-Grade AI Builder & Educator

Dheeraj Sharma

AI systems builder & educator. 20 yrs enterprise software, 10K+ audience

Cohort Batch 2

You watched the YouTube tutorial. You installed Claude Code. You opened a terminal and stared at a blank folder.The bar for what anyone can build alone is rising fast. The gap between people who use AI tools and people who build AI systems widens every month. Most Claude Code attempts die in 20 minutes.Not because the tool is hard, but because nobody showed you what is possible before asking you to build.Tutorials &amp; self-paced courses don't get you there. You need an instructor watching as you build, and other builders alongside you so you don't disappear after Week 2.In 4 weeks, you build a Claude Code system that runs part of your business:✅ turns your inputs into your outputs in your voice;✅ connects to your real tools (Gmail, Notion, Google Drive, Calendar, Obsidian) through MCP servers;✅ automates multi-agent pipelines through a live Hot Seat Build;✅ reaches you on your phone; runs on a schedule without you.Taught live by Dheeraj Sharma, Founder of GenAI Unplugged, 9 AI products shipped, 75+ articles on building AI systems for solopreneurs.Session 1 Guarantee: Leave with clarity and confidence that this cohort is right for you. Else full refund. No questions.

Stop staring at the blank folder. Build a Claude Code AI system that ships.

01. Pick the right problem to automate with Claude Code 

02. Install Claude Code and ship your first working system

03. Build a knowledge layer that makes outputs sound like you

04. Wire your system into your real tools with MCP

05. Build multi-agent pipelines through a live Hot Seat Build

06. Run your first scheduled agent and ship your capstone

You will be typing in a terminal during live sessions. A real keyboard and full OS are required.

A laptop for each live session (Mac, Windows, or Linux. No tablet-only setups)

Claude Code runs on your Claude account. Free tier will hit limits during the live builds. Pro is the minimum.

An active Claude Pro subscription ($20/month) or Claude Max

<pre><code class="language-markdown">AI-Curious Professional who uses ChatGPT or Claude daily but wants to BUILD AI systems that run their work, not just chat with an assistant.</code></pre>

<pre><code class="language-markdown">Content creator or newsletter writer who tried Claude Code once, hit the blank folder, and gave up before shipping anything.
</code></pre>

<pre><code class="language-markdown">Solopreneur or small business owner drowning in research, lead-gen, drafts, client summaries who wants AI system to handle the repeat work.</code></pre>

Agentic AI

Coding with AI

AI Workflows

Claude Code

OpenClaw

Vibe Coding

AI Evals

AI Transformation

RAG & Search

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product Sense

Product Discovery

User Research

Prototyping

Growth

Analytics

Tech Foundations

Strategy

Influence

Leadership

Career Growth

Machine Learning

LLM Ops

Context Eng

Security

System Design

Figma

Design Systems

Visual Design

Design Strategy

Automation

Content Marketing

Demand Gen

Go-to-Market

Product Marketing

Positioning

Social Media

Brand

B2B Marketing

SEO & AEO

AI for Leaders

AI Governance

Communication

Management

People Operations

Exec Presence

Storytelling

Goal-setting

Personal Brand

Fundraising

Everyone

Operators

Data Scientists

Business Analysts

User Researchers

Customer Success

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

Welcome & Introduction

The Role of Harnesses in LLM Coding

Introduction to Open Models & Audience Poll

Open vs. Closed Source Models Explained

The Importance and Benefits of Open Models

How Ollama Works with Open Models

Hardware Considerations: The Importance of GPU VRAM

Model Compatibility and Tool Usage in Claude Code

Finding the Best Open Models: Leaderboards and Resources

Decoding Open Model Terminology

PC vs. Mac for Running Models Q&A

Getting Started with Ollama: Installation and Commands

Working with Open Models in Claude Code

Open Code: A Lightweight Alternative for Open Models

Strategies for Coding with Open Models

Advanced Features in Open Code: Agents and Skills

Q&A: OpenCode Plugins and IDE Recommendations

Conclusion and Upcoming Sessions

Engineers and engineering leaders who build, deploy, and scale software systems.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Building autonomous AI agent systems that take actions, use tools, and orchestrate multi-step workflows.

Building, training, and deploying machine learning models — from classical ML to deep learning.

Using AI coding assistants and tools to write, review, and ship code faster.

Operating and deploying large language models in production — fine-tuning, inference, monitoring, and cost optimization.

Learn To Work With Open Models To Run Free Coding Agents

What you'll learn

Why this topic matters

You'll learn from

Sol Farahmand