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The Ultimate Python, Machine Learning & AI Engineering Bundle 2026

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The Ultimate Python, Machine Learning & AI Engineering Bundle 2026 is a collection of courses from Royal Open College covering the data science ecosystem. The bundle is organized into three tiers, with the highest tier including all 33 items.

This collection is intended for data scientists, developers, engineers, and business professionals looking to master modern data technologies. Your purchase supports the Python Software Foundation.

What each tier gets you

Tier 1 5.15 EUR 5 items · 1.03 EUR each
Python Programming Essentials for Beginners
Python Logic and Text Processing Fundamentals
Python Functions and Data Structures Masterclass
Object-Oriented and Advanced Python Programming
Python Automation with Files Libraries and Testing
Tier 2 11.33 EUR 15 items · 0.76 EUR each
Everything above, plus:
API Fundamentals for Non-Technical Professionals
Browser Automation with Python and Selenium
Data Preprocessing and Feature Engineering for Machine Learning
Data Analysis with NumPy and Pandas
Data Visualisation for Analysts and Data Scientists
Statistics Essentials for Data Driven Decisions
Hypothesis Testing and Regression Analysis
SQL and PostgreSQL for Data Analysis
SQL Joins Aggregation and Python Integration
Machine Learning and Data Science Foundations
Tier 3 18.54 EUR 33 items · 0.56 EUR each
Everything above, plus:
Regression Modelling with Python and Scikit-Learn
Classification with Logistic Regression and Support Vector Machines
Tree-Based Models and Gradient Boosting
Customer Segmentation and Clustering with Python
Deep Learning and Neural Networks with TensorFlow
Computer Vision with Convolutional Neural Networks
Natural Language Processing and Sentiment Analysis with Python
Reinforcement Learning and Decision Optimisation
Prompt Engineering Masterclass for Programmers
Generative AI Development and Application Building
LLM Engineering for Modern AI Applications
Fine-Tuning Open-Source Large Language Models
Retrieval-Augmented Generation and Enterprise RAG Systems
Vector Databases for AI and RAG Applications
AI Agent Development with Python
AI Agent Systems with LangGraph and MCP
MLOps Automation and Model Monitoring
AI and Machine Learning Deployment to Production

Highlights

  • AI Agent Development with Python: Develop practical AI agents with Python and explore how they manage connected tasks using simulation-based practice.
  • Classification with Logistic Regression and Support Vector Machines: Learn how AI systems classify data by working with logistic regression, K-nearest neighbours, and support vector machines.
  • Computer Vision with Convolutional Neural Networks: Explore the AI methods that help computers recognise patterns in images using convolutional neural networks.
  • Deep Learning and Neural Networks with TensorFlow: Build a foundation in AI-focused deep learning by exploring how artificial neural networks work with TensorFlow.
  • Fine-Tuning Open-Source Large Language Models: Adapt open-source language models through a curriculum focused on self-hostable models and techniques like LoRA, SFTTrainer, PEFT, and TRL.

Supports

Python Software Foundation
In its own words: “The mission of the Python Software Foundation is to promote, protect, and advance the Python programming language, and to support and facilitate the growth of a diverse and international community of Python programmers. The majority of the PSF's work is focused on empowering and supporting people within the Python comm...”

You choose how much of your payment goes to the charity.

All 33 courses

AI Agent Development with Python
AI Agent Systems with LangGraph and MCP
AI and Machine Learning Deployment to Production
API Fundamentals for Non-Technical Professionals
Browser Automation with Python and Selenium
Classification with Logistic Regression and Support Vector Machines
Computer Vision with Convolutional Neural Networks
Customer Segmentation and Clustering with Python
Data Analysis with NumPy and Pandas
Data Preprocessing and Feature Engineering for Machine Learning
Data Visualisation for Analysts and Data Scientists
Deep Learning and Neural Networks with TensorFlow
Fine-Tuning Open-Source Large Language Models
Generative AI Development and Application Building
Hypothesis Testing and Regression Analysis
LLM Engineering for Modern AI Applications
Machine Learning and Data Science Foundations
MLOps Automation and Model Monitoring
Natural Language Processing and Sentiment Analysis with Python
Object-Oriented and Advanced Python Programming
Prompt Engineering Masterclass for Programmers
Python Automation with Files Libraries and Testing
Python Functions and Data Structures Masterclass
Python Logic and Text Processing Fundamentals
Python Programming Essentials for Beginners
Regression Modelling with Python and Scikit-Learn
Reinforcement Learning and Decision Optimisation
Retrieval-Augmented Generation and Enterprise RAG Systems
SQL and PostgreSQL for Data Analysis
SQL Joins Aggregation and Python Integration
Statistics Essentials for Data Driven Decisions
Tree-Based Models and Gradient Boosting
Vector Databases for AI and RAG Applications

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