01
FOUNDATION
Become a Generative AI Developer
Understand the developer mindset, Python foundations, APIs, JSON, environments and the workflow used throughout the course.
Start this stage →GENERATIVE AI COURSE
Learn Generative AI.
Build Real AI Applications.
Go from Generative AI fundamentals to building complete AI applications with Python, LLMs, APIs, tool calling, embeddings, RAG, multimodal AI and production practices.
10 learning stages
Python examples
Projects & practice
✦
GENAI
MODEL
01Prompt
02Context
03Tools + Data
04Application
INPUT → MODEL → USEFUL OUTPUT
01Understand
Learn the concepts clearly.
02Experiment
Try ideas with real AI tools.
03Code
Build with practical Python.
04Build
Turn knowledge into applications.
THE LEARNING PATH
From AI fundamentals to production.
Each stage adds one important layer. You learn what it is, why it matters, how it works and where you use it.
02
CORE CONCEPTS
What Is Generative AI?
Learn what Generative AI is, how it differs from traditional AI and where modern generative models are used.
Explore stage →03
LLM FUNDAMENTALS
How Generative AI & LLMs Work
Understand tokens, transformers, context windows, inference and the basic architecture behind modern LLMs.
Explore stage →04
CONTEXT
Tokens, Context & Prompts
Learn how models read information and how prompt structure, context and constraints affect outputs.
Explore stage →05
PROMPT ENGINEERING
Prompt Engineering
Move from basic prompts to reliable instructions using zero-shot, few-shot, structured outputs, reasoning patterns and evaluation.
Explore stage →06
AI DEVELOPMENT
AI APIs & Your First AI App
Connect applications to AI models, work with API requests and responses, manage secrets and build your first Python AI application.
Explore stage →07
AGENTS
Tool Calling & AI Agents
Learn how AI applications use tools, function calling, workflows and agent-style systems to complete tasks.
Explore stage →08
KNOWLEDGE + SEARCH
Embeddings, Vector Search & RAG
Turn documents into searchable knowledge with embeddings, vector databases, retrieval and Retrieval-Augmented Generation.
Explore stage →09
REAL-WORLD AI
Multimodal AI, Safety & Reliability
Work with text, images and other modalities while learning evaluation, hallucination reduction, safety and responsible AI practices.
Explore stage →10
CAPSTONE
Build & Deploy a Complete GenAI Application
Bring everything together: model + prompts + tools + retrieval + application logic + evaluation + deployment.
Build the project →WHAT YOU WILL BUILD
Not just lessons. Real AI projects.
Use the concepts to create practical applications that look and behave like real developer projects.
01
AI Chatbot
Build a conversational application powered by an LLM.
02
Document Assistant
Ask questions about your own documents using RAG.
03
AI Agent
Connect a model to tools so it can perform useful actions.
04
GenAI Application
Combine prompts, models, tools, data and UI into one application.
READY TO START?
Build your Generative AI skills step by step.
Start with the fundamentals and keep building until you can create a complete AI application.