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Generative AI Mastery

Go from zero to building production-ready AI applications. Master prompt engineering, LLMs, LangChain, RAG pipelines, and AI agents — with live 1-on-1 coaching every step of the way.

12 Weeks Duration
🎯 Beginner–Advanced Level
👥 1-on-1 Coaching
🌍 Online Live Format
🤖
187Students enrolled
98%Satisfaction
12Weeks
Starting from
€99/month
Book Free Intro Call
✅ 1-on-1 live sessions
✅ Session recordings
✅ All course materials
✅ Capstone project
✅ Certificate on completion

What You'll Be Able to Build

🤖 Custom AI chatbots with memory and personality
🔍 RAG systems that answer questions from your own documents
Autonomous AI agents that use tools and browse the web
🖼️ AI image generation pipelines with DALL-E and Stable Diffusion
📊 LLM-powered data analysis and report generation tools
🚀 Deploy AI applications live to the web

12-Week Course Outline

Every week = 1-on-1 coaching session + hands-on assignments + reading materials

Week 1
Introduction to Generative AI & LLMs
4 lessons · 1 assignment
📖 What are Large Language Models (LLMs)?
📖 How ChatGPT, Claude & Gemini work under the hood
📖 The AI landscape in 2025 — tools, models, and trends
📖 Setting up your AI development environment
🎯 Assignment: Explore 5 AI tools and document your findings
Week 2
Prompt Engineering Fundamentals
5 lessons · 1 assignment
📖 Zero-shot, one-shot, and few-shot prompting
📖 Chain-of-thought prompting and reasoning
📖 Structured output prompting (JSON, XML, tables)
📖 Role prompting and persona design
📖 Prompt injection and safety considerations
🎯 Assignment: Build a prompt library for 3 real business use cases
Week 3
Programming Foundations for AI Builders
5 lessons · 1 project
📖 Python Fundamentals
📖 APIs & JSON Handling
📖 Data Structures
📖 Environment Setup
📖 Working with AI SDKs and Error Handling
🎯 Project: Build a smart AI writing assistant.
Week 4
Conversational AI Development
5 lessons · 1 project
📖 Chatbot Architecture
📖 Context Management
📖 Conversation Memory
📖 Multilingual Chatbots
📖 User Experience for AI Systems
🎯 Project: Deploy a real AI customer support assistant.
Week 5
LangChain & LlamaIndex
4 lessons · 1 project
📖 Introduction to LangChain
📖 Chains & Sequential Workflows
📖 Memory Systems & Retrieval Systems
📖 LlamaIndex Architecture
🎯 Project: AI business workflow automation system.
Week 6
Vector Databases & Embeddings
4 lessons · 1 project
📖 What are embeddings and why they matter
📖 Vector databases: Pinecone, ChromaDB, Weaviate
📖 Semantic search and similarity scoring
📖 Chunking strategies for documents
🎯 Project: Build a semantic search engine for a document collection
Week 7
RAG — Retrieval-Augmented Generation
5 lessons · 1 major project
📖 RAG architecture explained end-to-end
📖 Document loaders (PDF, Web, CSV, Notion)
📖 Advanced retrieval: MMR, hybrid search
📖 Re-ranking and context compression
📖 Evaluating RAG system quality
🎯 Major Project: "Ask My Documents" — RAG chatbot for any PDF collection
Week 8
AI Agents & Tool Use
5 lessons · 1 project
📖 What are AI agents? ReAct framework
📖 Building agents with LangChain AgentExecutor
📖 Creating custom tools (web search, calculator, APIs)
📖 Multi-agent systems and orchestration
📖 LangGraph for stateful agent workflows
🎯 Project: Research agent that searches the web and writes reports
Week 9
Image Generation & Multimodal AI
4 lessons · 1 project
📖 DALL-E 3 API — image generation and editing
📖 Stable Diffusion fundamentals
📖 Vision models — GPT-4o, Claude Vision
📖 Building multimodal pipelines
🎯 Project: AI image creation and description web app
Week 10
Fine-Tuning & Model Customisation
4 lessons · 1 assignment
📖 When to fine-tune vs prompt engineer
📖 OpenAI fine-tuning API walkthrough
📖 Dataset preparation and formatting
📖 Hugging Face models and LoRA
🎯 Assignment: Fine-tune a model for a specific writing style or domain
Week 11
Building AI-Powered Web Apps
5 lessons · 1 project
📖 Streamlit for rapid AI app prototyping
📖 FastAPI backend for AI services
📖 Building a full chat UI with React + OpenAI
📖 Authentication and user management
📖 Cost tracking and usage limits
🎯 Project: Full-stack AI web app with React frontend and FastAPI backend
Week 12
Deploying AI Applications
4 lessons · 1 project
📖 Deployment options: Vercel, Railway, Render, AWS
📖 Environment variables and secrets management
📖 Dockerising your AI app
📖 Monitoring, logging, and error handling in production
🎯 Project: Deploy your Week 10 app live with a custom domain
Project
🏆 Capstone Project
Build, present & deploy your own AI product
📖 Capstone brief and project scoping session
📖 Architecture design and planning
📖 Build sprint with daily feedback
📖 Final presentation and code review
🏆 Deliverable: A deployed, working AI product added to your portfolio

Technologies & Frameworks

🤖 OpenAI GPT-4o
🟣 Anthropic Claude
🔷 Google Gemini
⚡ LangChain
🦙 LlamaIndex
🌲 Pinecone
🟢 ChromaDB
🐍 Python
⚡ FastAPI
🌐 Streamlit
🐳 Docker
☁️ Vercel / Railway
🤗 Hugging Face
🖼️ DALL-E 3

Who This Course Is Designed For

This course IS for you if…

  • ✓ You're a complete beginner or developer wanting to learn AI
  • ✓ You want to build real AI products, not just watch videos
  • ✓ You want a job in AI or to add AI to your business
  • ✓ You know basic Python (or are willing to learn it first)
  • ✓ You prefer focused 1-on-1 coaching over crowded classrooms

This course is NOT for you if…

  • ✗ You want pure theory with no practical coding
  • ✗ You're looking for a pre-recorded video course
  • ✗ You can't commit at least 4–6 hours per week
  • ✗ You have zero interest in learning Python at all

What Past Students Built

🤖
Capstone

AI Customer Support Bot

RAG-powered chatbot trained on product docs, deployed as a live widget for an e-commerce store.

MK
Maria K. — 🇩🇪 Germany
📋
Capstone

Legal Document Analyser

Upload any contract, ask questions in plain English. Built with LangChain + GPT-4 + Streamlit.

DP
David P. — 🇫🇷 France
🧪
Capstone

AI Research Agent

Autonomous agent that browses the web, gathers information, and produces structured research reports.

SN
Sara N. — 🇳🇱 Netherlands

Ready to Master Generative AI?

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