Plain-language explanations
Every idea is explained simply first, with diagrams and worked examples, before any code.
AI, Python & Data Science Playbooks
Learn AI by Building
Real Python Projects.
Hands-on playbooks for machine learning, deep learning, NLP and RAG. Each one explains the idea in plain language, then walks you through working Python code you can run, change and keep.
ML → RAGComplete path
100%Python based
∞Lifetime access
▤Real
Projects
Projects
▧Step-by-Step
Chapters
Chapters
⚙Modern AI
Tools
Tools
🚀Source Code
Included
Included
</> Source code included
∞ Lifetime access
What is an Elexa AI playbook?
An Elexa AI playbook is a step-by-step written guide with complete source code. Each one explains the ideas in plain language, then builds a working Python project with you, chapter by chapter, so you finish with something you can run, change and show.
Choose a topic. Build something real.
AI, Machine Learning and Data Science Playbooks
Every playbook pairs clear explanations with Python code, so you finish with a working project and not just a page of notes.
AvailableData Analysis with Python Playbook
A step-by-step guide to analysing real data with Python, Pandas and Matplotlib. You clean messy datasets, find patterns and turn your results into clear charts and reports, with full source code for every chapter. It is the bridge between Python basics and Machine Learning.
Python 3 · Pandas · NumPy · Matplotlib
AvailablePython Programming Playbook
A step-by-step guide to Python for beginners, built around small projects you write and run yourself. You start with variables and loops and finish with files, functions, classes and APIs, with full source code for every chapter. It is the foundation for every AI, Machine Learning and Data Science playbook on Elexa AI.
Python 3 · VS Code · JSON · CSV
AvailableAI Mastery for Professionals: Use AI Tools to Work Smarter
A practical AI course for people who do not code. You learn to write strong prompts, research faster, create documents, presentations, images and videos with AI, and apply it all to real work in your industry.
ChatGPT · Claude · Gemini · Copilot
AvailableMachine Learning with Python: Build Real Projects
Learn machine learning the practical way. You start with raw data, clean it, train models with scikit-learn and measure how good they really are. By the end you have three working projects and the confidence to start your own.
Python · NumPy · pandas · Matplotlib
AvailableBuild an AI Customer Support Platform with Python and React
Build a working AI support platform that answers customer questions from each company's own help documents, hands difficult conversations to a human and gives admins a dashboard to manage it all. Twenty chapters take you from an empty folder to a deployed app.
Python · NumPy · pandas · Matplotlib
The launch collectionMachine Learning, Deep Learning,
Machine Learning, Deep Learning,
NLP and RAG, Step by Step
Start with the foundations and work up to the systems companies are building today. Each playbook stands on its own, and together they form a complete path into AI.
- Machine Learning: prepare data, train models and measure how well they work
- Deep Learning: neural networks for images, text and other complex data
- Natural Language Processing: teach programs to read, classify and understand text
- RAG: build a chatbot that answers questions from your own documents
- AI Customer Support Platform: a complete support assistant with Python, FastAPI and React
- AI Mastery for Professionals: use AI tools confidently in your day-to-day work
Pythonscikit-learnPyTorchTransformersRAGVector DBOpenAI
Explore the Playbooks →
🤖 Machine Learning
⚡ RAG Pipeline
🧠 Deep Learning
More than a book
What's Inside an Elexa AI Playbook
Every chapter takes you one step further. You learn the idea, see it in a worked example, write the code yourself and check the result.
A typical playbook, chapter by chapter
- 01The Problem and the IdeaWhat you are building, why it matters and how the pieces fit
- 02Setting UpPython environment, libraries and the project structure
- 03Working with DataLoading, cleaning and exploring the data you will use
- 04Core ConceptsThe theory explained simply, with diagrams and small examples
- 05Your First Working VersionA simple baseline you can run end to end
- 06Improving the ResultsBetter features, models and prompts, and why they help
- 07EvaluationMeasuring quality properly so you can trust the output
- 08Building the ApplicationWrapping the model in an API or app people can use
- 09Testing and TroubleshootingCommon mistakes, debugging and edge cases
- 10Deployment and Next StepsPutting it online and ideas for taking it further
↖ Clear diagrams
↗ Worked examples
↙ Code you can run
What's included in every playbook
Source code included
Project playbooks come with the complete Python code, organised chapter by chapter.
Hands-on exercises
Short tasks and checklists after each chapter so you know you have really understood it.
AI prompts included
Ready-to-use prompts for exploring data, writing code, debugging and explaining results.
Real projects
You finish with working models and applications you can show in a portfolio or at work.
Lifetime access
Keep your playbooks forever, including updates and new chapters added to them later.
A complete learning pathFrom raw data to a working AI app.
From raw data to a working AI app.
Every step, covered.
No gaps and no guesswork. Data, models, evaluation and deployment in one structured playbook.
Idea
→
Data
→
Model
→
Evaluation
↓
Deployment
←
Testing
←
API
←
App
Coming Soon: Full-Stack App Playbooks
Next after the AI launch: step-by-step builds of real apps like food delivery and e-learning platforms, with a choice of two backends, a React web app and a Flutter mobile app.
Node.js Stack
- Node.js + Express
- MongoDB
- React + Next.js
- Flutter
Laravel Stack
- Laravel + Sanctum
- MySQL
- React + Next.js
- Flutter
Simple ownership
Start with one. Grow into the collection.
One-time payment. Lifetime access. No subscriptions.
$39
One complete playbook with every chapter.
- All chapters in your reader
- Source code for project playbooks
- Exercises and AI prompts
- Lifetime access and updates
$99
Three playbooks that take you from the basics to your first AI models.
- Everything in Single, three times
- A clear order to learn in
- Source code for every project
- Better value than buying separately
$129
Every playbook in the AI collection, from machine learning to RAG.
- All launch playbooks
- Full source-code packages
- Lifetime library access
- New AI playbooks at a reduced price
Questions
Everything you need to know.
Clear expectations before you choose your first Playbook.
An Elexa AI playbook is a step-by-step written guide with complete source code. Each one explains the ideas in plain language, then builds a working Python project with you, chapter by chapter, so you finish with something you can run, change and show.
No. Each playbook is a set of written chapters you read in your Elexa account, with diagrams, examples and code. You can go at your own pace and come back to any section whenever you need it.
Basic Python helps for most playbooks. Each playbook page lists what you should know before you start, so you can pick the right one for your level.
Yes. Project playbooks such as RAG and the AI Customer Support Platform include the complete source code, organised to match the chapters.
Python 3, a code editor such as VS Code and an internet connection. Playbooks that use large language models also need an OpenAI API key, which has a small usage cost.
Yes. Once you buy a playbook it stays in your account for good, including updates and any new chapters added to it.
Your next project starts hereStop collecting tutorials.
Explore the Playbooks →Stop collecting tutorials.
Start building with AI.
Learn→Understand→Build→Deploy 🚀