Advanced Builder with Local AI Models

Build and deploy privacy-first AI apps using local models. Master fine-tuning, RAG pipelines, and edge inference.

schedule 10 Weeks

bar_chart Intermediate

Course Overview

Take your AI development skills to the edge. This advanced program focuses on building powerful applications without relying on cloud-based APIs.

From fine-tuning small language models (SLMs) to building secure RAG systems for enterprise data, you will learn the full lifecycle of local AI engineering.

What You Will Learn

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Model Hosting: Deploying LLMs locally with Ollama and vLLM.

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Fine-Tuning: Parameter-efficient techniques (PEFT) and LoRA.

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Vector Databases: Building private RAG with ChromaDB.

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Agentic Workflows: Creating autonomous AI agents from scratch.

Curriculum

Module 1: Local AI Infrastructure

GPU architecture, quantisation basics, and setting up the local development environment.

Module 2: Fine-Tuning & Quantization

Preparing datasets, fine-tuning techniques for custom knowledge, and model compression.

Module 3: Vector Databases & RAG

Embedding models, vector search, and building context-aware applications without the cloud.

Module 4: Edge Deployment & Optimization

Compiling models for edge devices and optimizing for low-latency inference.

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Advanced Lab Access

Remote GPU cluster usage included

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Expert Certificate

Validated by AI industry leaders