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Machine Learning Training Course in London

84,125 Ratings

Rated #1 Machine Learning Training by India TV

Intellipaat’s Machine Learning course in London helps you master machine learning with Python, ML algorithms, Git, TensorFlow, PySpark, decision trees, Regression, etc. Get the best online machine learning certification training in London to learn through real-time projects and case studies.

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ML Course Key Features

50+ Live sessions across 7 months
218 Hrs Self-paced Videos
200 Hrs Project & Exercises
Learn from IIT Madras Faculty & Industry Practitioners
1:1 with Industry Mentors
Resume Preparation and LinkedIn Profile Review
Campus Immersion at IITM Research Park
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Machine Learning Course in London Overview

What will you learn in this best machine learning course in London, United Kingdom?

This course by Intellipaat, one of the leading machine learning institutes in London, will teach you about:

  • Data modeling in principal component analysis
  • How to train machines using data
  • Linear regression with multiple variables using Python
  • Classification of logistic regression
  • Concepts of vector machine algorithms
  • Artificial neural networks and their use
  • How to design an ML system

This course by Intellipaat, one of the premier e-learning providers of machine learning training in London, can be joined by:

  • Professionals from the analytics, data science, e-commerce, and search engine domains
  • Working professionals who are looking for a career switch
  • Fresh graduates

Anybody can join the machine learning classes in London regardless of their prior know-how of the technology.

Here are some of the machine learning job opportunities in London:

Job Title Company Location Salary (£)
Machine Learning Engineer Google London 90,000–170,000
Data Scientist Facebook London 80,000–120,000
Machine Learning Research Scientist DeepMind London 70,000–100,000
Machine Learning Engineer Intern Amazon London 35,000–40,000
Machine Learning Consultant Capgemini London 50,000–70,000
Machine Learning Solutions Architect IBM London 60,000–80,00

As per research, in the UK, the demand for ML expertise has almost tripled in the last few years. Therefore, job openings in this beneficial field of ML are also expanding immensely, especially in its capital city, London. Also, London is a hotbed for leading tech giants, and it remains a remarkable land for investment. The continual growth shown by this city in the field of technology has thus made corporates invest here more.

  • As per Indeed, the average income of Machine Learning Engineers is US$140,579 per annum in the United States
  • There are over 7,332 Machine Learning jobs available on LinkedIn in India alone
  • The growth rate for Machine Learning jobs is about 350%!
  • Automation is the trending face of technology

In the world we live in today, ML has proved itself to be among the hottest and most demanding technologies available out there.

Hence, by leveraging Intellipaat’s machine learning online training, you will be exposed to numerous high-paying job opportunities.

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Machine Learning engineers rank among the top emerging jobs. - LinkedIn
The global Machine Learning market is expected to reach USD 8.81 billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% - MarketsandMarkets

Career Transition

57% Average Salary Hike

$1,14,000 Highest Salary

12000+ Career Transitions

300+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

Meet Your Course Mentors

18+ Key Skills You'll Master

Python

Data Science

Data Analysis

Generative AI

GIT

MLOps

Data Wrangling

SQL

Machine Learning

Prediction algorithms

Natural Language Processing

Data Visualisation

Speech Recognition

Reinforcement Learning

Recommendation Systems

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9+ Essential Tools You'll Learn

python jupyter Scipy numpy pandas matplotlib tensorflow SQL excel PowerBI
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Machine Learning Course Fees in London

Self Paced Training

  • 218 Hrs e-learning videos
  • Resume Preparation and LinkedIn Profile Review
  • Campus Immersion at IITM Research Park

$211

Online Classroom Preferred

  • Everything in Self-Paced Learning, plus
  • 50+ Live sessions across 7 months of Instructor-led Training
  • One to one doubt resolution sessions
  • Attend as many batches as you want for Lifetime
  • Job Assistance
Weekend (Sat-Sun)

16 Nov 2024 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

23 Nov 2024 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

30 Nov 2024 08:00 PM - 11:00 PM
Weekend (Sat-Sun)

07 Dec 2024 08:00 PM - 11:00 PM
$1,229 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise Grade Learning Management System (LMS)
  • 24x7 Support
  • Enterprise Grade Reporting

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Machine Learning Course Syllabus

Live Course Industry Expert Academic Faculty

Machine Learning Prerequisites - Python Basics

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  • Get introduced to basic programming terminologies and concepts like variables, data types, operators, functions, etc.
  • Understand the implementation of the object-oriented programming (OOPS) concept.
  • By the end of this module, you should be able to create programs in Python.
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  • Learn the fundamentals of Structured Query Language (SQL) such as tables, joins, comments, operators, DDL (Data Definition Language), DQL (Data Query Language), DML (Data Manipulation Language), DCL (Data Control Language) and TCL (Transaction Control Language)
  • Understand and Implement subqueries, rules, views, pattern matching, UDFs, stored procedures, etc.
  • Optimise your SQL queries by indexing, grouping, sorting, and CTEs(Common Table Expressions).
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  • Learn to manipulate data and create interactive visualisations using Python libraries like Numpy, Pandas, Matplotlib, and Seaborn.
  • Understand essential preprocessing techniques, such as exploratory data analysis, feature engineering, scaling, normalisation, and standardisation.
  • Using Python libraries, create bar charts, scatter plots, count plots, line plots, pie charts, doughnut charts, and more.
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  • Understand descriptive statistical measures such as central tendency, spread, five-point summary, etc.
  • Learn about inferential statistical measures such as correlation, covariance, confidence intervals, hypothesis testing, F-test, Z-test, t-test, ANOVA, and chi-square test.
  • Analyse the probability of an event using probability distribution, Bayes’s theorem and central limit theorem.
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  • Get Introduced to machine learning, its types and usage.
  • Learn about regression, classification and clustering. Learn how to pick the right algorithms for a given problem statement.
  • Create a machine learning model for each of them and understand how to train, evaluate, and optimise them.
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  • Deep Dive into different machine learning algorithms and understand their working, importance and usage.
  • Learn and Implement supervised machine learning algorithms such as Linear regression, Logistic Regression, Decision Tree, Random Forest, Support Vector Machine, Gradient Descent, K-nearest neighbours, and Time Series Forecasting.
  • Learn and Implement different unsupervised machine learning algorithms, such as K-means, Dimensionality reduction, linear discriminant analysis, Principal Component Analysis, etc.
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  • Understand and learn the basics of Artificial Intelligence and Python libraries like Keras and TensorFlow.
  • Learn the essential concepts of neural networks, such as their definition, advantages, structure, usage, types, etc.
  • Implement crucial deep learning concepts, such as Deep neural networks, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), GPUs in deep learning, Autoencoders, Restricted Boltzmann machines, etc.
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  • Explore the fundamentals of generative AI like LSTM, transformer architecture, BERT, etc.
  • Understand why these Gen AI models are better than traditional machine learning models.
  • Implement and learn about the evolution of large language models (LLMs) and their architecture to better understand context and perform complex generation tasks.
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  • Understand the basic concepts of NLP, such as tokenisers, POS tagging, lemmatisation, trigrams, Ngrams, text classification, stemming, frequency distribution, etc.
  • Work with language models, sequencing tasks, syntax trees, chunking, chinking, context-free grammar, etc.
  • Learn about the mechanism of words, term frequency, text conversion, count vectoriser, inverse document, etc.
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  • Learn the basics of Prompt Engineering.
  • Explore various strategies for prompt design.
  • Understand methods for evaluating prompt effectiveness and applying feedback loops to optimise the output.
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  • Understand the fundamental workings of MLOps and its lifecycle, from developing the model to evaluating and deploying it over Azure Machine Learning.
  • Get introduced to Microsoft Azure Machine Learning service and deploy your first machine learning model on it.
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In this machine learning capstone project, you will create an end-to-end machine learning pipeline. You will analyse the problem and suggest solutions based on data insights.

  • You will start by extracting and loading the data, followed by transforming it into a format suitable for driving inferences.
  • The next step will be manipulating and preprocessing the data to prepare it for creating a model.
  • Before creating the machine learning model, we must perform feature engineering related to the problem statement.
  • Then, we will select a suitable model that fits the problem statement and the data, train it with the training dataset, and test it using the testing dataset.
  • The last step is to evaluate the model and monitor it so that it gives a proper outcome.
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Electives:

  • Get introduced to PowerBI basics like importing data and creating dashboard reports for practical business intelligence.
  • Understand the usage of Data Analysis Expressions (DAX) to create custom metrics and perform calculations.
  • Create a PowerBI dashboard from scratch using everything you have learnt in this module, from creating visualisations, slicers, DAX, etc.
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  • You will be armed with some of the best job search strategies to help you search for jobs efficiently.
  • Create ATS friendly resume and LinkedIn profile that will increase your visibility in the industry market.
  • Give multiple mock interviews to industry professionals to get acclimatised to the types of questions and the interview environment.
  • Grab placement opportunities with our network of 3100+ hiring partners on clearing the placement readiness test (PRT).
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  • Learn the basics of MS Excel, such as getting familiar with the interface, formatting cells, alignments, sorting, filters, and fonts.
  • Implement and understand formulae and functions that make your Excel workbook dynamic.
  • Learn to create chart illustrations and apply data validation rules and conditional formatting for better trend analysis.
  • Make use of Excel for classification and regression problems.
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Machine Learning Projects

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Placement Assistance
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Machine Learning Certification in London

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As part of this ML program in London, you will be engaged in various projects and assignments, which include real-world industry scenarios. This way, you can expedite your career effortlessly.

Intellipaat’s certificate will be issued once you successfully work on the projects (after expert review) and score at least 60 percent on the quiz.

You would be glad to know that Intellipaat’s certification training is recognized by more than 500 top MNCs, including Cisco, Ericsson, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered Bank, IBM, Infosys, Genpact, TCS, Hexaware, and more.

Machine Learning Training Reviews in London

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Machine Learning Course FAQs

Why should I join this machine learning course in London at Intellipaat?

Intellipaat provides comprehensive teaching in machine learning through hands-on projects and case studies. A few of the many reasons for choosing Intellipaat’s ML training course include the following:

  • You will learn various concepts such as ML using Python, classification techniques, linear and logistic regression, supervised and unsupervised learning, and more.
  • After successfully completing the lectures, you will be awarded Intellipaat’s certificate, which holds merit in 100+ MNCs across the world.
  • This program covers real-time ML projects and step-by-step tasks that are highly relevant in the corporate world. It also includes an extensive curriculum, created by industry experts.
  • Our certification training will allow you to compete for some of the best positions in the world’s leading MNCs for higher salaries.
  • We provide lifetime access to videos, resources, and free upgrades to the latest version, and 24/7 learning support.

Intellipaat is the leading provider of machine learning courses in London. Other courses such as artificial intelligence, data analytics, data science, R programming language, and others help you become job-ready by focusing on the practical implementations of concepts through real-time live projects.

Machine learning is basically the process to collect real-world data, extract useful information from it, and then take action to perform certain tasks without manual programming. It helps systems improve over time on their own by exploring various types of real-world data. It also allows organizations to improve their business strategies by knowing the insights that are extracted from the given business data.

No doubt, machine learning is in high demand, and at the same time, employers need professionals who have the right skills for building applications for the future.

Here at Intellipaat, we create our program by taking into consideration our learners come from varied backgrounds. So, we curate it from the basic level and gradually increase the difficulty level for you to easily grasp all the concepts taught as part of the program. Further, we make sure that, by the end of the program, your skills would be equivalent to 6-months of experience in this technology.

Intellipaat’s machine learning certification course is curated by industry experts who cover both basic and advanced concepts of this trending technology. Further, this program covers all the topics with the help of several real-life examples, which are extremely useful, especially for beginners.

Here, you will learn mathematics, statistics, etc., and then go on gaining in-depth knowledge of ML. So, if you are a beginner in this field and are aiming to pursue a career in it, then this is the best platform for you.

Among various other institutes that provide the Python machine learning course online, Intellipaat offers it at the most reasonable and affordable rate. It provides two modes of training, namely, self-paced and online instructor-led.

Intellipaat’s self-paced machine learning program costs about US$160, and you will be able to learn from pre-recorded video lectures at your own pace. The online instructor-led one, on the other hand, costs about US$265. In this, you will attend live lectures from trainers, along with which you will receive access to the self-paced program as well. Hence, this program is extremely beneficial.

You can access all the lectures and assignments the moment you enroll in this program. Also, Intellipaat provides lifelong access to the complete material for you to refer to as and when required.

We select instructors who are top SMEs in the industry with a minimum of 8 to 12 years of experience in the field of machine learning. They are all extremely qualified trainers in the field of machine learning and artificial intelligence. They are selected after going through a rigorous process, where they are tested for their domain knowledge and training ability.

Intellipaat’s teaching assistant team consists of technical experts who help learners in various aspects, including doubt clearance, assignment sessions, and project evaluation.

Yes, Intellipaat offers several group discounts for our classroom program, depending on the group size and type. To avail of the group discount for our machine learning advance course, you need to contact our course advisors, who will help you with all your doubts regarding the discount offers we provide.

Intellipaat accepts all major debit cards and credit cards. Besides, it offers all EMI options available for you to choose from at your convenience. You can speak to our advisors to get more details about different EMI options as well.

Intellipaat offers the facility of integrated labs that act as a platform for you to execute our industry-based projects. You will be guided through the steps so that you can easily deploy all the necessary tools and further execute the hands-on exercises successfully.

Intellipaat’s machine learning program provides material that comprises all the modules that are necessary to learn this popular technology. These pre-recorded video lectures and material are extremely effective as they allow you to complete the whole program at your own pace and take your time to learn the concepts thoroughly.

You can speak to our advisors for detailed information about ML, and they will help you select the best-suited one for you based on your skill set and work experience.

After successfully completing the entire program and executing all the given industry-based exercises and projects, you will receive the ML certificate from Intellipaat.

Intellipaat’s certificate is recognized by over 500 top MNCs across the world, including companies such as Sony, Mu Sigma, Cisco, IBM, Standard Chartered Bank, TCS, Infosys, Ericsson, Genpact, Cognizant, etc.

As a part of our online certification training, we provide practice tests and assignments that will help you prepare for real-life examinations and jobs. These tests also let you assess yourself on what you have learned and how much you have grasped.

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