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Artificial Intelligence Course in London

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Edoxi’s 60-hour AI training in London builds foundational AI concepts and advanced machine learning techniques. Engage in hands-on exercises with Jupyter Notebook, Pandas, and NumPy. Work on mini-projects that involve data handling, machine learning models, and neural networks. Expert-led training to prepare for roles as an AI Engineer, Data Analyst, and Machine Learning Specialist. Enrol now to gain the AI skills to get employed in the UK’s booking Information Technology Sector.
Course Duration
60 Hours
Corporate Days
5 Days
Learners Enrolled
100+
Modules
18
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Course Rating
4.9
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Mode of Delivery
Online
Classroom
Certification by

What Do You Learn from Edoxi's AI Course in London?

Python Programming Fundamentals
Master Python basics, data structures, object-oriented programming, and essential libraries like NumPy and Pandas.
Data Analysis and Visualization
Learn to manipulate data using Pandas, conduct data analysis, and create visualizations with Matplotlib for meaningful insights.
Machine Learning Foundations
Gain experience with supervised learning (regression and classification) and explore unsupervised learning (clustering) algorithms in Python.
Natural Language Processing Basics
Understand and implement NLP concepts using classical and deep learning approaches in Python.
Neural Network Implementation
Learn the fundamentals of artificial neural networks and convolutional neural networks for AI applications.
Practical AI Project Development
Work on hands-on projects using Jupyter Notebook. Work with data formats like JSON, CSV, and Pickle in real-world scenarios.

About Our Artificial Intelligence Training in London

Edoxi’s AI Training in London is a 60-hour comprehensive program designed for beginners as well as experienced IT professionals who want to develop in-demand Artificial Intelligence skills. This AI course in London provides a strong foundation in AI concepts and gives you the practical knowledge to apply AI technologies across industries, including finance, healthcare, and automation in the UK and beyond.

Our comprehensive AI course in London is perfect for beginners, providing a step-by-step introduction to the fundamentals of Python programming. Participants delve into essential AI algorithms, gaining insights into how they function and their applications across various industries. Throughout the AI course, we emphasize hands-on learning, allowing you to work on real-world projects that enhance your understanding and practical skills.

Edoxi’s Artificial Intelligence course is led by expert instructors with years of industry experience. Learners gain practical exposure to widely used tools such as Jupyter Notebook, Pandas, and NumPy. This Artificial Intelligence Training program focuses on developing analytical thinking and communication skills, which are vital for success in data science and AI careers.

Our Artificial Intelligence Training course is designed with flexibility in mind, making it easy for both working professionals and full-time learners to enrol without disrupting their schedules. Our presentations, study guides, and real-world case studies cover everything from basic AI concepts to advanced applications in automation, machine learning, and data-driven decision-making. By the end of the AI training in London, you will be equipped for roles such as AI Engineer, Data Analyst, Machine Learning Specialist, or Automation Expert. 

Enrol now to advance in your IT career or transition into the field of Artificial Intelligence.

Key Features of Edoxi's Artificial Intelligence Course

Personalised Learning Options

You can choose between personalized one-on-one sessions or small group training (4-6 students), ensuring focused attention and interactive learning.

Practical Project Portfolio

You engage in mini-projects that involve data handling, machine learning models, and neural networks to build a portfolio showcasing your skills.

Comprehensive Study Materials

You have access to detailed presentations and PDF notes designed to support both in-class learning and self-study.

Multiple Training Formats

You can choose between in-person training at our London facility or online sessions according to your preference.

Interactive Coding Environment

You have the chance to work in industry-standard development environments, ensuring you gain practical programming experience.

Professional Assessment & Certification

You receive Edoxi’s course completion certificate after successfully passing the post-course assessment.

Who Can Join Our AI Certification Training in London?

Fresh Graduates & STEM Professionals

Recent graduates in Computer Science, IT, Engineering, Mathematics, or any related discipline looking to start their career in AI and data science.

Software Developers & IT Professionals

Programming professionals seeking to expand their expertise into AI and machine learning, leveraging their existing development skills.

Business & Analytics Professionals

Business analysts, data analysts, and professionals from finance or healthcare sectors want to integrate AI capabilities into their work.

Career Transitioners

Professionals from any background with analytical thinking abilities and basic familiarity with programming concepts are ready to embrace AI technology.

Corporate Teams

Organizations looking to upskill their technical teams with practical AI knowledge and Python programming capabilities.

Self-Learners & Tech Enthusiasts

Individuals passionate about emerging technologies and automation, with a drive for problem-solving and data-driven decision-making.

Artificial Intelligence Course Modules

Module 1: Introduction to Python
  • Chapter 1.1: Python Fundamentals

    • Lesson 1.1.1: Overview of Python and its features
    • Lesson 1.1.2: Setting up the Python development environment
  • Chapter 1.2: Programming Basics

    • Lesson 1.2.1: Python syntax and basic structure
    • Lesson 1.2.2: Writing and running Python programs
Module 2: Variables, Data Types and Operators
  • Chapter 2.1: Working with Data Types

    • Lesson 2.1.1: Working with variables and data types(numbers, strings, booleans)
    • Lesson 2.1.2: Type conversion and casting
  • Chapter 2.2: Understanding Operators

    • Lesson 2.2.1: Arithmetic, assignment, comparison and logical operators
Module 3: Control Flow and Loops
  • Chapter 3.1: Conditional Programming

    • Lesson 3.1.1: Conditional statements (if/else, Elif)
    • Lesson 3.1.2: Breaking and continuing loop execution
  • Chapter 3.2: Loops and Iteration

    • Lesson 3.2.1: Looping structures (for, while)
    • Lesson 3.2.2: Working with lists and iterating over them
Module 4: Functions and Modules
  • Chapter 4.1: Function Fundamentals

    • Lesson 4.1.1: Creating and invoking functions
    • Lesson 4.1.2: Function parameters and return values
  • Chapter 4.2: Module Management

    • Lesson 4.2.1: Variable scope and global keyword
    • Lesson 4.2.2: Importing and using modules in Python
Module 5: Strings and File Handling
  • Chapter 5.1: String Operations

    • Lesson 5.1.1: Manipulating strings (concatenation, slicing, formatting)
  • Chapter 5.2: File Operations

    • Lesson 5.2.1: Reading from and writing to files
    • Lesson 5.2.2: Opening, closing, and deleting files
    • Lesson 5.2.3: File permissions and error handling
Module 6: Data Structures
  • Chapter 6.1: Basic Data Structures

    • Lesson 6.1.1: Working with lists, tuples, and dictionaries
    • Lesson 6.1.2: Accessing and modifying elements in data structures
  • Chapter 6.2: Advanced Data Structure Operations

    • Lesson 6.2.1: Iterating and manipulating data structures
    • Lesson 6.2.2: Working with sets and frozen sets
Module 7: Object-Oriented Programming (OOP) in Python
  • Chapter 7.1: OOP Concepts

    • Lesson 7.1.1: Introduction to OOP concepts (classes, objects, methods, attributes)
    • Lesson 7.2.2: Creating and using classes in Python
  • Chapter 7.2: OOP Implementation

    • Lesson 7.2.1: Encapsulation, inheritance, and polymorphism
    • Lesson 7.2.2: Working with Objects and Class Relationships
Module 8: File Input/Output (I/O) and Serialization
  • Chapter 8.1: File Handling

    • Lesson 8.1.1: Reading and writing data from/to files
  • Chapter 8.2: Data Serialization

    • Lesson 8.2.1: Serialization and deserialization of objects (pickle, JSON, CSV)
    • Lesson 8.2.2: Working with CSV and JSON files
Module 9: Regular Expressions
  • Chapter 9.1: Regex Basics

    • Lesson 9.1.1: Introduction to regular expressions
    • Lesson 9.1.2: Using regular expressions for pattern matching and search
  • Chapter 9.2: Text Processing

    • Lesson 9.2.1: Validating and manipulating text using regular expressions
Module 10: Introduction to Python Libraries and Frameworks
  • Chapter 10.1: Python Ecosystem

    • Lesson 10.1.1: Overview of popular Python libraries and frameworks
  • Chapter 10.2: Applications

    • Lesson 10.2.1: Introduction to data analysis, scientific computing, and web development with Python
Module 11: Working with Data
  • Chapter 11.1: Data Analysis Fundamentals

    • Lesson 11.1.1: Introduction to data analysis with pandas
    • Lesson 11.1.2: Dataframes: creation, manipulation, and analysis
  • Chapter 11.2: Data Visualization

    • Lesson 11.2.1: Basic data visualization with Matplotlib
Module 12: Introduction to Artificial Intelligence
  • Chapter 12.1: AI Fundamentals

    • Lesson 12.1.1: Definition and history of AI
    • Lesson 12.1.2: Types of AI: Narrow AI vs General AI
  • Chapter 12.2: Industry Applications

    • Lesson 12.2.1: AI applications in various industries
Module 13: Introduction to Machine Learning
  • Chapter 13.1: ML Basics

    • Lesson 13.1.1: Basics of Machine Learning
    • Lesson 13.1.2: Supervised and Unsupervised Learning
    • Lesson 13.1.3: Data Preparation and Preprocessing
  • Chapter 13.2: Data Processing

    • Lesson 13.1.1: Importance of data in AI
    • Lesson 13.1.2: Data cleaning and preprocessing techniques
    • Lesson 13.1.3: Handling missing values, normalization, and standardization
Module 14: Supervised Learning - Regression
  • Chapter 14.1: Basic Regression Techniques

    • Lesson 14.1.1: Simple Linear Regression
    • Lesson 14.1.2: Multiple Linear Regression
    • Lesson 14.1.3: Polynomial Regression
  • Chapter 14.2: Advanced Regression

    • Lesson 14.2.1: Decision Tree Regression
    • Lesson 14.2.2: Random Forest Regression
    • Lesson 14.2.3: Regression Model Selection
    • Lesson 14.2.4: Evaluating Regression Model
Module 15: Supervised Learning - Classification
  • Chapter 15.1: Classification Fundamentals

    • Lesson 15.1.1: Logistic Regression
    • Lesson 15.1.2: K-Nearest Neighbour (k-NN)
  • Chapter 15.2: Model Evaluation

    • Lesson 15.2.1: Classification Model Selection
    • Lesson 15.2.2: Evaluating the Classification Model
Module 16: Unsupervised Learning - Clustering
  • Chapter 16.1: Clustering Basics

    • Lesson 16.1.1: Introduction to clustering
  • Chapter 16.2: Clustering Techniques

    • Lesson 16.2.1: k-Means clustering
    • Lesson 16.2.2: Hierarchical Clustering
Module 17: Natural Language Processing (NLP)
  • Chapter 17.1: NLP Fundamentals

    • Lesson 17.1.1: Introduction to NLP
    • Lesson 17.1.2: Types of NLP
  • Chapter 17.2: Implementation

    • Lesson 17.2.1: Classical vs Deep Learning Model
    • Lesson 17.2.2: Natural Language Processing in Python
Module 18: Deep Learning
  • Chapter 18.1: Neural Networks

    • Lesson 18.1.1: Artificial Neural Networks
  • Chapter 18.2: Advanced Neural Networks

    • Lesson 18.2.1: Convolutional Neural Network

Download Artificial Intelligence Course Brochure

Real-World Projects and Case Studies on Artificial Intelligence Training in London

Our Artificial Intelligence Course in London features hands-on projects that cover key areas such as data analysis, machine learning models, natural language processing, and automation. Each case study is designed around real business challenges, giving you valuable exposure to how AI is used across industries like finance, healthcare, retail, and technology. Here are some of the real-world projects and case studies in our course;

Projects

  • Predicting Housing Prices

    Build a machine learning model using Python to predict housing prices based on historical data. This project will help you apply concepts of data preprocessing, regression, and evaluation of machine learning models.

  • Customer Segmentation Using Clustering

    Perform customer segmentation by building an unsupervised learning model using k-means clustering. You work with real-world datasets to categorize customers based on purchasing behaviours.

  • Image Classification Using Deep Learning

    Create a convolutional neural network (CNN) to classify images. This project will give you hands-on experience with deep learning using TensorFlow and Keras.

Case Studies

  • AI Implementation for Retail Demand Forecasting

    A retail company used AI models developed by one of our course participants to accurately forecast product demand. The company saw a 20% reduction in overstock and understock scenarios, optimising its supply chain management.

Artificial Intelligence Course Outcome and Career Opportunities in London

Edoxi’s Artificial Intelligence course in London equips learners with practical skills in AI, machine learning, and Python programming, preparing them to design intelligent solutions for real-world challenges. Graduates can pursue diverse career opportunities across industries such as finance, healthcare, technology, and more. After completing Edoxi's AI training in London, you will:

Course Outcome Image
Develop a strong foundation in Python programming, which is essential for AI development.
Gain knowledge of fundamental AI principles, including machine learning, deep learning, and natural language processing.
Learn how to manipulate and analyse data using libraries like Pandas and NumPy, which are crucial for effective AI modelling.
Design, implement, and evaluate AI models using frameworks such as TensorFlow or PyTorch.
Develop critical thinking and problem-solving skills, enabling you to tackle complex business challenges with AI solutions.
Prepared for roles in AI development, data analytics, and machine learning engineering, with a unique blend of technical skills and industry knowledge.

Career Opportunities After the AI Training in London

  • Google DeepMind
  • Microsoft AI
  • Amazon Web Services (AWS)
  • Meta (London AI Research Lab)
  • Revolut
  • Monzo
  • Wise (TransferWise)
  • Palantir Technologies
  • Graphcore
  • BenevolentAI

Artificial Intelligence Training Options

Classroom Instructor-led Training

  • 60-hour AI Course in London

  • Learn AI & Python from expert Instructors

  • Dedicated mentor guidance in small batches (4-6 learners) or one-on-one

  • Hands-on machine learning exercises with direct supervision

  • Real-time interaction for complex AI concepts

Live Online Training

  • 60-hour Online AI training Course

  • Same curriculum and mentorship quality from your location

  • Choose between small groups (4-6 learners) or one-on-one sessions

  • Live demonstrations of Python coding and ML algorithms

  • Flexible scheduling for working professionals

Corporate Training

  • Customised Learning (Digital/ Instructor-led)

  • Flexible Pricing Options

  • Enterprise Dashboards for Individuals and Teams

  • Learner Assistance and After-support

  • Training delivered at client premises, a selected hotel, or at Edoxi’s facility

Do You Want a Customised Training for Artificial Intelligence?

Get expert assistance in getting you Artificial Intelligence Course customised!

How To Get Edoxi’s Artificial Intelligence Certification in London?

Here’s a four-step guide to becoming a certified Artificial Intelligence professional.

Do You Want to be a Certified Professional in Artificial Intelligence?

Join Edoxi’s Artificial Intelligence Course

Why Choose Edoxi for an AI Course in London?

Here are the reasons why you must choose Edoxi for AI Training in London

Project-Based Learning

Master AI concepts from Python fundamentals to advanced machine learning through hands-on mini-projects. Gain practical experience in neural networks, data analysis, and predictive modelling.

Industry-Ready Portfolio

Build a professional portfolio using tools like Jupyter Notebook, NumPy, and Pandas, showcasing your Artificial Intelligence skills to potential employers.

Structured Learning Path

Our 18-module Artificial Intelligence course in London guides you step-by-step from programming basics to advanced AI techniques, ensuring an effective and practical learning experience.

Career-Focused Training

Interactive coding sessions and problem-solving exercises prepare you for AI roles in the UK, emphasizing both technical proficiency and real-world application.

Comprehensive Learning Support

Receive guidance on IDE setup (Google Colab, Jupyter Notebook), Git version control, detailed study materials, and post-course career and further learning support, helping you unlock AI career opportunities in London and across the UK.

Industry Exposure & Networking

Gain insights from AI experts, attend workshops, and connect with professionals, enhancing your understanding of AI applications across sectors and boosting employability.

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Edoxi is Recommended by 95% of our Students

Meet Our Mentor

Our mentors are leaders and experts in their fields. They can challenge and guide you on your road to success!

mentor-image

Tausifali Saiyed

Tausifali Sayed is an experienced full-stack developer and corporate trainer with over a decade of expertise in the field. He specialises in both the education and development of cutting-edge mobile and web applications. He is proficient in technologies including Core Java, Advanced Java, Android Mobile applications, and Cross-Platform Applications. Tausifali is adept at delivering comprehensive training in full-stack Web App Development, utilising a variety of frameworks and languages such as Java, PHP, MERN, and Python.

Tausifali holds a Master of Science (M.Sc.) in Computer Science from the University of Greenwich in London and a Bachelor of Engineering in Computer Engineering from Sardar Patel University in Vallabh Vidyanagar, India. Tausifali possesses a diverse skill set that includes expertise in Python, Flutter Framework, Java, Android, Spring MVC, PHP, JSON, RESTful Web Services, Node, AngularJS, ReactJS, HTML, CSS, JavaScript, jQuery, and C/C++. Fluent in English and Hindi, Tausifali is a versatile professional capable of delivering high-quality training and development in the IT industry.

Locations Where Edoxi Offers Artificial Intelligence Course

Here is the list of other major locations where Edoxi offers Artificial Intelligence Course

FAQ

What are the prerequisites to join Edoxi’s Artificial Intelligence course in London?
To join Edoxi’s Artificial Intelligence course in London, there are generally no strict prerequisites. The course is designed for both beginners and experienced professionals, making it accessible to anyone interested in learning about artificial intelligence and Python programming.
However, having a basic understanding of programming concepts can be helpful. No prior programming knowledge is required, allowing participants to start from the fundamentals and progress to more advanced topics. Having familiarity with working with data and a foundational understanding of mathematics can also enhance your learning experience, especially in areas like machine learning and data analysis.
Which tools and technologies are covered in the Artificial Intelligence Training in London?

In the AI course, you'll explore a variety of important tools and technologies. You'll gain proficiency in Python, Jupyter Notebook, NumPy, Pandas, and well-known machine-learning libraries. The curriculum spans a wide range of topics, from data analysis to the implementation of deep learning techniques.

What is the average salary of an AI Professional in London, UK?

The average salary of an AI Engineer in the UK lies in a broad range of £ 22,000 to £ 90,000 annually. However, salaries can vary depending on experience, role, and the specific company. Factors like specialization, company size, and years of experience significantly impact the final compensation.

What kind of AI projects will I work on during the training?

During the training, you'll engage in hands-on projects that involve data analysis, predictive modelling, machine learning applications, and neural networks, allowing you to create a well-rounded portfolio as you progress through the course.

What certification will I receive after completing the AI course in London?

Upon successful completion of the course and assessment, you receive a professional certification from Edoxi. This certification demonstrates your skills to potential employers.