Ai That Works: Leverage Llms Fast With 4 Practical Projects

Cut the Noise, Build the AI: Learn GenAI Through Content Moderation, Trend Clustering, Custom Chatbots, and Retrieval

What you'll learn

Create four practical AI projects—including chatbots, retrieval systems, trend analysis, and content moderation—that work in real-world scenarios.

Skip the unnecessary theory and focus on the fastest way to get working, high-performing AI models.

Go beyond basic AI usage—control AI behavior, integrate retrieval-augmented systems, and fine-tune models for specific business needs.

Teach AI how to retrieve and use real knowledge, instead of relying on outdated model memory.

Build an AI-powered moderation system that detects violations and improves content filtering with minimal human intervention.

Learn how to cluster, filter, and interpret real-world social media trends with AI-driven analysis.

Requirements

Basic Python Knowledge – You don’t need to be an expert, but you should be comfortable writing and running Python scripts

A Willingness to Experiment – This is a hands-on course. The best way to learn is by building and testing the projects yourself.

A Computer with a Modern GPU (Optional) – While not required, having access to a GPU (locally or via a cloud provider) will speed up training.

No prior fine-tuning experience is required—this course will teach you exactly what you need without unnecessary complexity.

Description

Why This Course Matters NowAI is transforming industries, but most people—even technical teams—don’t know how to truly control it. They rely on generic AI tools, struggle with limited customisation, and waste time on inefficient workflows.The truth is, companies don’t just need people who can use AI. They need people who can shape it.Fine-tuned AI is faster, cheaper, and more reliable than generic AI models.Businesses that control their AI gain a competitive edge—reducing costs, improving accuracy, and keeping sensitive data in-house.Right now, almost no one is teaching this. This course gives you an unfair advantage by bridging the gap between theory and real-world AI solutions.What’s Holding You (or Your Team) Back?Prebuilt AI is too broad. Generic models waste resources on capabilities you don’t need.You lack control. Relying on API-based models like GPT means you’re locked into third-party decisions, pricing, and policies.Your AI isn’t optimised. If you’re not fine-tuning, you’re paying too much and getting too little.Most AI training focuses on prompt engineering or abstract theory—not on actually building AI that works. That’s where this course is different.What This Course Gives YouAI That Works for You – Learn to train, fine-tune, and optimize AI models for specific business needs.Enterprise-Level AI Without the Overhead – Gain the skills to reduce costs, increase efficiency, and deploy AI on your own infrastructure.A Rare, High-Value Skill – Few people can custom-train AI models—this puts you or your business ahead of the curve.What you’ll achieve:Fine-tune LLMs for specialised tasks, outperforming generic AI.Build AI-powered moderation, retrieval, and trend analysis systems.Train custom chatbots that truly follow rules—unlike API-based AI.Optimize AI for speed, cost, and privacy by training locally or in the cloud.For Businesses & TeamsThis is the fastest way to upskill your team and cut reliance on expensive third-party AI.Cut reliance on expensive third-party AI.Empower employees with practical AI development skills.Keep AI solutions private, secure, and fully controlled.Who This Course Is NOT ForThis isn’t a bottom-up theory course—we focus on getting AI working fast. If you want to learn every detail from the ground up, this might not be the best fit. But if you want practical skills with fast real impact, you’re in the right place.

Overview

Section 1: AI-Powered Content Moderation Tool

Lecture 1 Intro

Lecture 2 Getting Started: From Rules to Moderation Logic

Lecture 3 Making Moderation Smart: Adding AI to Detect Rule Violations

Lecture 4 Enhancing Usability: Building Reusable Functions for Moderation

Lecture 5 Explain, Then Decide: Prompt Strategies for Smarter Moderation

Lecture 6 Closing the Loop: Enhancing Moderation with Severity Scoring

Section 2: Legal FAQ Chatbot (RAG System)

Lecture 7 Introducing Retrieval-Augmented Systems and Embeddings

Lecture 8 Retrieval in Action: Matching Legal Questions with Provisions

Lecture 9 Going Local: Replacing APIs with Open-Source Models

Lecture 10 Generating Locally: Setting Up Llama On-Device

Lecture 11 Smarter Search: Improving Retrieval with Class-Based Filtering

Section 3: Trend Analysis & Content Generation

Lecture 12 Trend Analysis: Preparing and Clustering Social Media Data

Lecture 13 Exploring Trends: Visualizing and Filtering Clusters for Insights

Lecture 14 Real-Time Trends: Generating Content That Engages

Section 4: Fine-Tunning Specialised Chat-Bots

Lecture 15 Introduction

Lecture 16 The Fastest Way to Customize AI (and Why It’s Not Enough)

Lecture 17 AutoTrain for Quick Fine-Tuning

Lecture 18 Hardware for AI Training: Options, Costs, and Trade-offs

Lecture 19 Preparing Your Training Environment

Lecture 20 Our First Fine-Tuning: Teaching AI New Skills

Lecture 21 Our First Fine-Tuning: Part 2

Lecture 22 Controlling AI: Setting Boundaries in Training

Section 5: Conclusion: The Bigger Picture

Lecture 23 Now You See the Whole Picture: The Unfair Advantage

Businesses & Teams – Scale AI efficiently and affordably by training models tailored to your needs.,Developers & Engineers – Go beyond prompting—train AI that actually listens.,AI & Data Professionals – Learn how fine-tuning unlocks faster, cheaper, and smarter models.,Builders & Tech Enthusiasts – Get full control over AI behavior instead of relying on prebuilt tools.