Regular Price: £420 Batch Price: From £360 📅 View Dates & Prices Group Booking Discount: From £240 per person 🧮 Calculate & Book 1-to-1 Training: £420 📋 Booking Request Form Course Overview This course is designed to provide students with the knowledge and skills needed to perform Artificial Intelligence (AI) and Machine Learning using Python programming language. Students will learn to apply machine learning and deep learning algorithms using the libraries such as scikit-learn, Kears, and Tensorflow. Learning Objectives: Understand the fundamental concepts of Artificial Intelligence (AI) and machine learning Build predictive models using machine learning algorithms such as linear regression, logistic regression, decision trees, and random forests Understand the basics of deep learning and its applications in Python Requirements Basic programming knowledge in Python, familiarity with libraries like Numpy, Pandas, and Matplotlib. We highly recommend you complete the following course(s) before attending the AI and Deep Learning with Python course: Data Science and Machine Learning with Python You may also complete the following course(s) before attending the AI and Deep Learning with Python course but they are not mandatory: Python Intermediate to Advanced Statistics for Data Analytics Course Content Unsupervised Learning Algorithms K-means clustering Hierarchical clustering Dimensionality reduction Project: Iris Classification Deep Learning with Keras and TensorFlow Introduction to deep learning Neural networks Keras and TensorFlow Convolutional Neural Networks (CNN) CNN basics CNN implementation using Keras Project: Cats and Dogs Classification Recurrent Neural Networks (RNN) RNN basics RNN implementation using Keras Project: Sentiment analysis using text data Real-world Examples Some real-life business applications of Deep learning Q&A and course feedback Course Dates, Prices & Enrolment All Training Physical Classes Virtual Classes UTC British Time (UK, Ireland, Iceland) Central European Time (France, Germany, Sweden) Eastern European Time (Finland, Cyprus) Eastern Time (New York, Toronto, Montreal) Central Time (Chicago, Houston, Winnipeg) Mountain Time (Calgary, Denver, Edmonton) Mountain Time (Phoenix) Pacific Time (Los Angeles, Seattle, Vancouver) Singapore Time Arabic Standard Time (Qatar, Saudi Arabia) Gulf Standard Time (UAE, Oman) Australian Eastern Time (Sydney, Melbourne) Western Australia Time (Perth) New Zealand Time China Standard Time (China, Taiwan, Hong Kong) Scroll right for more details Delivery MethodDates & TimesHoursPriceEnrolment Online Training using Zoom 25 May 2026 - 05 Jun 2026 Mon, Wed & Fri (2 wks) 03:00 PM - 05:00 PM BT 12-hour over 6-day £360 £420 Enrol Now Online Training using Zoom 20 Jul 2026 - 31 Jul 2026 Mon, Wed & Fri (2 wks) 03:00 PM - 05:00 PM BT 12-hour over 6-day £360 £420 Enrol Now Price Calculator & Booking Request Form Calculate prices for Corporate, 1-on-1 or group training and request a booking. Do you have a special training requirement or unable to find any suitable training date? Please complete and submit the booking request form, if you want to: book a course on different dates book for a group of delegates book corporate training book a customised training book a one-on-one training The price person is less when you book a course for more people. You can find the price per person and the total cost by changing the values of the training hours and the number of people below: How many hours? How many people? Total Cost Price per person Preferred Dates and Times Any other information
23 February 2026 Applying AI, Machine Learning and Deep Learning in Business Today This article clarifies the practical distinctions between AI, Machine Learning and Deep Learning within a corporate framework. It provides real-world examples of how these technologies are being used today to automate workflows, predict market trends and process complex unstructured data.
09 February 2026 Breaking Data Silos: The Foundation for Successful AI This article identifies data silos as the leading cause of AI project failure in the UK. It explains the limitations of legacy architecture and provides a roadmap for building a centralised, AI-ready data foundation that supports real-time decision-making and operational efficiency.
19 January 2026 From Chatbots to AI Agents: Why Your Business Needs an Agentic AI Strategy This article explores the fundamental shift from Generative AI to Agentic AI and why autonomous agents are becoming essential for modern operational efficiency. It outlines how these systems execute complex, multi-step workflows to allow human staff to focus on higher-value strategic tasks.
18 September 2024 How to Prepare for the Future Tech World: Essential Skills for 2025 The world is changing fast with new technology, especially in IT (Information Technology), digital tools, and Artificial Intelligence (AI). To be ready for the future, it's important to learn key skills that will help you succeed. Here’s a simple guide to help you prepare for 2025.
10 February 2015 Interactive Quiz: Fixed vs Growth Mindsets Is your mindset holding you back? Finding out could improve your ability to learn & achieve, so take this quiz now.
30 January 2026 The Evolution of AI in Finance to Detect Fraud in Real-Time This post examines the transition from reactive security protocols to proactive, AI-driven fraud detection within the financial sector. It details how real-time data analysis identifies unauthorised transactions with millisecond precision, ensuring both security and a seamless user experience.
02 February 2026 The Five Pillars of a Modern Data Stack This post outlines the fundamental architecture of the Modern Data Stack and defines how integrated cloud tools enable seamless data storage and analysis. It identifies how this five-pillar framework allows organisations to eliminate data siloes and make faster, more accurate data-driven decisions.
12 September 2024 The Secret Superpower of Python: Native App Development In this blog, we’ll go over the top Python libraries for building native apps and help you pick which one is perfect for your project.
10 August 2020 Top Reasons to Use Business Intelligence Tools In this article we will explore the benefits that come with the use of business intelligence tools.