AI & LLMs
Module 3 Lesson 4: Model Sizes and Variants
Understanding the trade-offs of scale. Why a 70B model is smarter than an 8B model, and why you might not want to use it.
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AI & LLMs
Module 3 Lesson 5: Prompting Local Models
Talking to the machine. Why prompting a local 8B model requires a different approach than ChatGPT.
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AI & LLMs
Module 3 Lesson 6: Streaming Responses
Words as they happen. Why streaming is the secret to a fast-feeling AI application.
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AI & LLMs
Module 3 Wrap-up: The Model Comparison Challenge
Put your knowledge to the test. Compare Llama, Mistral, and Gemma on speed, humor, and logic.
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AI & LLMs
Module 4 Lesson 1: Transformer Architecture Overview
The engine under the hood. A non-math guide to the Transformer architecture that powers all modern LLMs.
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AI & LLMs
Module 4 Lesson 2: Quantization Concepts
Compressing intelligence. How we fit 100GB models into 5GB files without making them stupid.
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AI & LLMs
Module 4 Lesson 3: GGUF Model Format
The universal file type. Why GGUF is the 'PDF of AI' and why it's the foundation of the Ollama ecosystem.
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AI & LLMs
Module 4 Lesson 4: Context Length and Tokens
How much can the AI remember? Understanding the relationship between context windows and RAM usage.
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AI & LLMs
Module 4 Lesson 5: Tokenization
The bridge between words and numbers. How LLMs translate your typing into something a computer can process.
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AI & LLMs
Module 4 Lesson 6: Performance Trade-offs
Optimization 101. Balancing speed vs quality vs memory in your local AI setup.
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AI & LLMs
Module 4 Wrap-up: Measuring Model Efficiency
Hands-on: Benchmarking your machine. Compare quantization levels and measure memory usage in real-time.
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AI & LLMs
Module 5 Lesson 1: What a Modelfile Is
The blueprint of a model. Understanding how to configure your AI using simple text files.
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AI & LLMs
Module 5 Lesson 2: Modelfile Syntax
Mastering the commands. A deep dive into FROM, SYSTEM, PARAMETER, and ADAPTER.
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AI & LLMs
Module 5 Lesson 3: System Prompts
The power of instruction. How to write effective system prompts that transform your model's personality.
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AI & LLMs
Module 5 Lesson 4: Runtime Parameters
Fine-tuning the engine. A dictionary of PARAMETER options to control speed, creativity, and memory.
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AI & LLMs
Module 5 Lesson 5: Model Inheritance
Standing on the shoulders of giants. How to create layers of custom models using the FROM command.
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AI & LLMs
Module 5 Lesson 6: Versioning and Reproducibility
Creating stable AI systems. How to ensure your custom models remain the same over time.
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AI & LLMs
Module 5 Wrap-up: Engineering Your Custom Bot
Hands-on: Creating a specialized AI persona from scratch. Move beyond the default registry.
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AI & LLMs
Module 6 Lesson 1: Hugging Face Model Ecosystem
The universe of open AI. Understanding the scale of Hugging Face and how it relates to Ollama.
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AI & LLMs
Module 6 Lesson 2: Model Types and Licenses
Know your rights. A guide to AI licenses (MIT, Apache, Llama) and what they mean for your business.
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AI & LLMs
Module 6 Lesson 3: Supported Architectures
Not all models are equal. Understanding which architectures (Llama, Mistral, BERT) work with the Ollama engine.
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AI & LLMs
Module 6 Lesson 4: Converting Models to GGUF
The DIY path. How to take a raw PyTorch model and turn it into a GGUF file for Ollama.
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AI & LLMs
Module 6 Lesson 5: Quantization Options
Going deep on compression. Exploring the technical differences between Q4_0, Q4_K_M, and GQA.
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AI & LLMs
Module 6 Lesson 6: Compatibility Validation
Is it working? How to verify that your imported Hugging Face model is behaving correctly in Ollama.
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AI & LLMs
Module 6 Wrap-up: Bringing Hugging Face Home
Hands-on: The full workflow from Hugging Face download to Ollama creation.
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AI & LLMs
Module 7 Lesson 1: Model Caching
How Ollama handles memory. Understanding why the 'second' run is always faster than the 'first'.
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AI & LLMs
Module 7 Lesson 2: Disk Space Management
Managing the gigabytes. How to clear space and move your Ollama model library to a larger drive.
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AI & LLMs
Module 7 Lesson 3: RAM and VRAM Optimization
Squeezing every drop of performance. How to force Ollama to use the GPU and manage shared memory.
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AI & LLMs
Module 7 Lesson 4: Context Window Tuning
Stability over scope. Why lowering your context window can actually make your AI feel faster and more stable.
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AI & LLMs
Module 7 Lesson 5: Batch Inference
Processing at scale. How to optimize Ollama for high-volume tasks like document digestion.
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AI & LLMs
Module 7 Wrap-up: The Optimization Challenge
Hands-on: Benchmarking your machine. Compare quantization levels and measure memory usage in real-time.
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AI & LLMs
Module 8 Lesson 1: Ollama REST API
The universal bridge. How to talk to Ollama from any programming language using HTTP requests.
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AI & LLMs
Module 8 Lesson 2: Streaming API Responses
Words as they happen. How to handle NDJSON streams in your application for a professional AI feel.
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AI & LLMs
Module 8 Lesson 3: Python Integration
The AI Engineer's standard. Using the official Ollama Python library to build smart scripts.
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AI & LLMs
Module 8 Lesson 4: JavaScript Integration
AI in the browser and the server. Building with the Ollama JavaScript library.
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AI & LLMs
Module 8 Lesson 5: LangChain Integration
Building complex AI workflows. connecting Ollama to the world's most popular AI orchestration framework.
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AI & LLMs
Module 8 Lesson 6: Local Tool Calling
Giving the AI hands. How to let local models run functions, check the weather, or query a database.
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AI & LLMs
Module 8 Wrap-up: Building Your Python Chatbot
Hands-on: Creating a fully functional, streaming terminal chatbot using Python and Ollama.
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AI & LLMs
Module 9 Lesson 1: Prompt Design for Smaller Models
Optimization for 8B. Why 'Chain of Thought' is the secret weapon for making small models act like giants.
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AI & LLMs
Module 9 Lesson 2: Advanced System Prompts
Hardening the persona. Using system prompts as a defensive layer to prevent 'Jailbreaking' and off-topic conversations.
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AI & LLMs
Module 9 Lesson 3: Output Control
Precision generation. Techniques to limit the model's verbosity and ensure it stays within character limits.
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AI & LLMs
Module 9 Lesson 4: JSON and Structured Output
AI that speaks code. How to force Ollama to output valid JSON every single time.
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AI & LLMs
Module 9 Lesson 5: Reducing Hallucinations
Stick to the facts. Techniques to prevent local AI from making up information.
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AI & LLMs
Module 9 Wrap-up: Creating the Structured Expert
Hands-on: Combine system prompts, JSON mode, and negative constraints to build a production-ready data extractor.
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Projects
Capstone Project: The Automated Data Scientist
The Grand Finale. Apply everything from Modules 1-7 to build a fully automated system that cleans raw data, performs analysis, and chooses the best AI model.
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Programming
Lesson 1: What Programming Is and Why Python
An absolute beginner's guide to understanding programming and why Python is the perfect first language.
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Programming
Lesson 10: Common Beginner Mistakes
Save time and frustration by learning how to identify and fix the most common Python errors made by beginners.
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Programming
Lesson 11: Module 1 Hands-on Projects
Apply everything you've learned in Module 1 by building four practical Python projects from scratch.
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Programming
Lesson 2: Installing Python and Setting Up the Environment
A step-by-step guide to installing Python and setting up your coding environment correctly.
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Programming
Lesson 3: Running Your First Python Program
Learn how to create, save, and execute your first Python script using VS Code.
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