Machine Learning with Python

Master Machine Learning with Python: Essential Tools and Techniques with LSET Industry Expert

Course ID
MLP
Department
Artificial Intelligence, Software Engineering
Campus
1 Cornhill
Level
Certificate
Method
Lecture + Project + Internship
Duration
2 Weeks to 13 Months

Machine Learning has become a vast field in computer science. It is basically getting things done by the computers without explicitly programming them. It has given us so many technologies self-driving car, speech recognition, web recommendation engines, etc.

Apply now to become a professional Machine learner

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Course Description & Tuition Fees

How to choose an option that best aligns with your goals?

When considering LSET's course options, take into account various factors such as the duration of the program, the depth of content covered, and how each aligns with your career objectives.
  • Foundation Certificate: provides a quick but comprehensive introduction to technology, perfect for those with limited time or budget constraints.
  • Advanced Certificate: offers a deeper dive into foundational and advanced concepts, suitable for individuals passionate about expanding their knowledge and skills in technology.
  • Expert Certificate: is designed for ambitious learners committed to mastering their craft, offering intensive training and exclusive industry access over a longer period.

Evaluate each option based on how well it fits with your goals and aspirations within the tech industry

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FOUNDATION
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LSET Foundation is a condensed and affordable program designed to ignite your skills in a shorter time frame. Perfect for busy individuals seeking a quick yet comprehensive introduction to the world of technology.
Course Details
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Certificate
Duration: 2 weeks
Teaching Hours: 4 hours
Practice Hours(Optional): 24 hours
Lab Hours: 4 hours
Intake: 1st Day of Every Month
Online Fees (Excl. of VAT)
Pay Upfront: £200
Classroom Fees (Excl. of VAT)
Pay Upfront: £500
International Classroom
Pay Upfront: £700
ADVANCED CERTIFICATE
Expertise Gained: ★ ★ ★
LSET Advanced Certificate is your all-encompassing journey into the realms of technology, offering a 360-degree immersion into the world of technology and beyond. Dive deep, explore extensively, and emerge elevated.
Course Details
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Certificate
Duration: 6 weeks
Teaching Hours: 12 hours
Practice Hours(Optional): 60 hours
Lab Hours: 12 hours
Intake: 1st Day of Every Month
Online Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £600
Pay Per Module:
Number of Modules: 3
Per Module Fee: £250
Classroom Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £1,500
Pay Per Module:
Number of Modules: 3
Per Module Fee: £625
International Classroom
Pay Upfront: £2,100
EXPERT CERTIFICATE
Expertise Gained: ★ ★ ★ ★ ★
LSET Expert is the pinnacle of technical education for those committed to mastering their craft. Explore intricate technical concepts with industry experts, elevate your skills, expand your horizons, and unlock your full potential.
Course Details
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Certificate
Duration: 12 weeks
Teaching Hours: 24 hours
Practice Hours(Optional): 120 hours
Lab Hours: 24 hours
Intake: 1st Day of Every Month
Online Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £1,200
Pay Per Module:
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Per Module Fee: £250
Classroom Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £3,000
Pay Per Module:
Number of Modules: 6
Per Module Fee: £625
International Classroom
Pay Upfront: £4,200

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(Expert + Project (Online) + LSET Sector Specialisation Add-On)
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Online Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £2,400
Pay Per Module:
Number of Modules: 12
Per Module Fee: £250
Classroom Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £6,000
Pay Per Module:
Number of Modules: 12
Per Module Fee: £625
International Classroom
Pay Upfront: £8,400
Career Accelerator Program

EXPERT STAR CERTIFICATE

(Expert + Project (Online) + Industrial Training and Internship option + Workplace Simulation + Solution Design Lab)
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Certificate
Duration: 12 Months
Online Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £6,120
Pay Per Module:
Number of Modules: 18
Per Module Fee: £425
Classroom Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £9,360
Pay Per Module:
Number of Modules: 18
Per Module Fee: £650
International Classroom
Pay Upfront: £12,600
Premium Career-Ready Track

EXPERT ELITE CERTIFICATE

(Expert + Project (Online) + Industrial Training and Internship option + Workplace Simulation + Solution Design Lab + Pro Plan)
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International Classroom
Certificate
Duration: 12 Months
Online Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £6,800
Pay Per Module:
Number of Modules: 20
Per Module Fee: £425
Classroom Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £10,400
Pay Per Module:
Number of Modules: 20
Per Module Fee: £650
International Classroom
Pay Upfront: £14,000
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LSET Foundation is a condensed and affordable program designed to ignite your skills in a shorter time frame. Perfect for busy individuals seeking a quick yet comprehensive introduction to the world of technology.
Course Details
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International Classroom
Certificate
Duration: 4 weeks
Teaching Hours: 6 hours
Practice Hours(Optional): 36 hours
Lab Hours: 6 hours
Intake: 1st Day of Every Month
Online Fees (Excl. of VAT)
Pay Upfront: £400
Classroom Fees (Excl. of VAT)
Pay Upfront: £1,000
International Classroom
Pay Upfront: £1,400
ADVANCED CERTIFICATE
Expertise Gained: ★ ★ ★
LSET Advanced Certificate is your all-encompassing journey into the realms of technology, offering a 360-degree immersion into the world of technology and beyond. Dive deep, explore extensively, and emerge elevated.
Course Details
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Certificate
Duration: 8 weeks
Teaching Hours: 16 hours
Practice Hours(Optional): 80 hours
Lab Hours: 16 hours
Intake: 1st Day of Every Month
Online Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £800
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Number of Modules: 4
Per Module Fee: £250
Classroom Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £2,000
Pay Per Module:
Number of Modules: 4
Per Module Fee: £625
International Classroom
Pay Upfront: £2,800
EXPERT CERTIFICATE
Expertise Gained: ★ ★ ★ ★ ★
LSET Expert is the pinnacle of technical education for those committed to mastering their craft. Explore intricate technical concepts with industry experts, elevate your skills, expand your horizons, and unlock your full potential.
Course Details
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Duration: 16 weeks
Teaching Hours: 32 hours
Practice Hours(Optional): 150 hours
Lab Hours: 32 hours
Intake: 1st Day of Every Month
Online Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £1,600
Pay Per Module:
Number of Modules: 8
Per Module Fee: £250
Classroom Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £4,000
Pay Per Module:
Number of Modules: 8
Per Module Fee: £625
International Classroom
Pay Upfront: £5,600

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(Expert + Project (Online) + LSET Sector Specialisation Add-On)
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International Classroom
Certificate
Duration: 6 Months
Online Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £3,200
Pay Per Module:
Number of Modules: 16
Per Module Fee: £250
Classroom Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £8,000
Pay Per Module:
Number of Modules: 16
Per Module Fee: £625
International Classroom
Pay Upfront: £11,200
Career Accelerator Program

EXPERT STAR CERTIFICATE

(Expert + Project (Online) + Industrial Training and Internship option + Workplace Simulation + Solution Design Lab)
Course Details
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Home Classroom
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Certificate
Duration: 13 Months
Online Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £7,480
Pay Per Module:
Number of Modules: 22
Per Module Fee: £425
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Pay Upfront (with 20% Disc) : £11,440
Pay Per Module:
Number of Modules: 22
Per Module Fee: £650
International Classroom
Pay Upfront: £15,400
Premium Career-Ready Track

EXPERT ELITE CERTIFICATE

(Expert + Project (Online) + Industrial Training and Internship option + Workplace Simulation + Solution Design Lab + Pro Plan)
Course Details
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Certificate
Duration: 13 Months
Online Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £8,160
Pay Per Module:
Number of Modules: 24
Per Module Fee: £425
Classroom Fees (Excl. of VAT)
Pay Upfront (with 20% Disc) : £12,480
Pay Per Module:
Number of Modules: 24
Per Module Fee: £650
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6 weeks
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5 months
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12 months
Teaching Hours
4 hours
12 hours
24 hours
40 hours
96 hours
96 hours
Practice Hours
24 hours
72 hours
144 hours
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576 hours
576 hours
Lab Hours
4 hours
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40 hours
96 hours
96 hours
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Paid Internship
Online
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Per Module Fee: £425
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Per Module Fee: £425
Home (UK Residence) Classroom
Pay Upfront Fees (with 20% Disc)
£500
£1,500
£3,000
£6,000
£9,360
£10,400
Pay Per Module Fees
No of Modules: 3
Per Module Fee: £625
No of Modules: 6
Per Module Fee: £625
No of Modules: 12
Per Module Fee: £625
No of Modules: 18
Per Module Fee: £650
No of Modules: 20
Per Module Fee: £650
International
International Fees
£700
£2,100
£4,200
£8,400
£12,600
£14,000
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Prerequisites have not been met Compare All Certificates

Course
Foundation
Advanced
Expert
Expert Plus
Expert Star
Expert Elite
Expertise
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★★★★
★★★★★
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Course Duration
3 weeks
8 weeks
16 weeks
6 months
13 months
13 months
Teaching Hours
6 hours
16 hours
32 hours
48 hours
104 hours
104 hours
Practice Hours
36 hours
80 hours
150 hours
288 hours
624 hours
624 hours
Lab Hours
6 hours
16 hours
32 hours
48 hours
104 hours
104 hours
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£7,480
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No of Modules: 16
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Per Module Fee: £425
No of Modules: 24
Per Module Fee: £425
Home (UK Residence) Classroom
Pay Upfront Fees (with 20% Disc)
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£2,000
£4,000
£8,000
£11,440
£12,480
Pay Per Module Fees
No of Modules: 4
Per Module Fee: £625
No of Modules: 8
Per Module Fee: £625
No of Modules: 16
Per Module Fee: £625
No of Modules: 22
Per Module Fee: £650
No of Modules: 24
Per Module Fee: £650
International
International Fees
£1,400
£2,800
£5,600
£11,400
£15,400
£16,800
Add-ons
Work Shadowing
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Optional
Optional
Optional
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Optional
Optional
Optional
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★ NEW LSET Work-Integrated Learning (LWIL) Program: Exclusive to International Students
6 Months of Learning and Interning (GAE Visa Route with Full Support Provided by JENZA who delivers the BUNAC sponsorship)
This program is exclusively designed for international students who are planning to come to the UK specifically to study with LSET. Visa sponsorship and compliance support for the GAE visa route will be provided by our official partner, JENZA / BUNAC. If you are already in the UK on a Student Visa and enrolled with a UK university, you may consider our standard certificate programs such as Foundation, Advanced, Expert, Expert Plus, Expert Star, or Expert Elite. You may be eligible to work based on the conditions of your current visa; please check with your university or visa sponsor to confirm whether you are allowed to work while studying.
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*Modules of our curriculum are subject to change. We update our curriculum based on the new releases of the libraries, frameworks, Software, etc. Students will be informed about the final curriculum in the course induction class.

   Note: Please note that all prices listed are exclusive of VAT. VAT will be charged separately and added to the total amount payable.
   Disclaimer: Our Industrial Training and Internship Program (part of Expert Star and Expert Elite) includes a guaranteed six-month paid internship with a technology company, offering work commitments ranging from ten (10) hours to forty (40) hours per week. We aim to provide at least ten (10) hours of work per week, but some companies may offer up to a maximum of 40 hours per month. The actual number of hours worked may exceed ten (10) hours per week, depending on the hiring company. We guarantee compensation at the national minimum wage; however, the hiring company may offer a higher wage at their discretion. We do not guarantee any compensation above the national minimum wage. Internship placements may be with our organisation or with one of our affiliated sister companies. We aim to place participants in a variety of companies, ranging from early-stage startups to established enterprises. However, we do not guarantee the type or size of the company for the internship placement. Due to visa restrictions, certain international students may be ineligible to participate in this program.
Course Completed?
Showcase Your Skills as a Python Machine Learning Engineer!

After completing your training, take the LSET Python Machine Learning Engineer Exam to demonstrate your expertise in building intelligent systems using Python. Earning the LSET badge will enhance your CV, highlight your practical skills, and help you stand out in the competitive tech landscape.
Enrol now and take the next step in your machine learning journey!
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Enhance Your Capstone with Real-World Industry Focus

LSET Sector Specialisation Add-On

This optional add-on lets students customise their capstone project based on their preferred industry. It’s designed to boost employability by giving practical experience and insight into specific high-growth sectors in the UK.

Available Specialisations:

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  • Technology & AI
  • Healthcare & Biotechnology
  • Film, Media & Entertainment
  • Legal & Professional Services
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Curious about how to embark on this journey? Simply “click” here to learn more and kickstart your professional development with us!

Machine Learning, refers to a process of analysing data for training or building models. It is everywhere; from Amazon product recommendations to self-driven cars, it has great value throughout. As per the latest survey, the machine learning market is expected to grow by 43% by 2024. This revolution has greatly enhanced the demand for machine learning professionals.

Machine learning jobs have had a significant growth rate of 75% in the last four years, and the industry is rapidly continuously. In this course, we will work on your core skills like Machine Learning, and Learn specific topics like NLP, Reinforcement Learning, Deep Learning, and a lot more.

Career Perspective

Machine Learning is a process of analysing data for training and building models. ML is just everywhere; from self-driven cars to Amazon product recommendations, it holds great value throughout. As per the latest survey, the global machine learning market is expected to grow by 43% by the year 2024. This revolution has increased the demand for machine learning professionals to a huge extent.

Machine learning and Artificial Intelligence jobs have had a significant growth rate of 75% in the last four years, and the industry is growing rapidly. The average salary of an ML professional is £52,000. A career in the Machine learning domain offers excellent growth, job satisfaction, insanely high salary, but it is a complex and challenging process.

Technologies Covered

Python programming language: It is an interpreted high-level programming language used for web development, machine learning, AI, ML, and a lot more. It provides a clear approach to programmers to write a clear and logical approach.

Pandas is a software library used for Data Analysis and manipulation. It offers operations and data structure and operations for manipulating time series and numerical tables.

NumPy: it is a python library that consists of the multidimensional array and a collection of mathematical functions to operate on this array

Matplotlib is a python library that makes matplotlib work like MATLAB. It provides an object-oriented API for inculcating plots into the application using GUI.

Plotly is an open-source plotting library that supports a wide range of scientific, financial, and geographical use cases.

SciKit-Learn is a Machine Learning library for the Python programming language. It features various regression, classification, and clustering algorithms.

Complementary Workshops

Git Management

Agile Project Management

Agile Project Management

Team Building

Personality Development

Interview Preparation

Course Information

Course Intakes

1st January

1st February

1st March

1st April

1st May

1st June

1st July

1st August

1st September

1st October

1st November

1st December

Entry Criteria

  • Basic understanding of Python programming and Python libraries.
  • Students must have at least high school knowledge in maths and must be willing to learn Machine Learning.
  • Ability to work in Group
  • If a potential student’s first language is not English, they must also reach the English Language requirements of either any one of the following - IELTS 5.5 or NCC Test or GCE “O” Level English C6.
  • Have access to personal laptop

Course Highlights

  • Hands-on practice
  • Industry-standard Project development
  • Learn from expert
  • Interactive teaching
  • Full lifetime access
  • Access on mobile
  • Certificate of completion

Evaluation Criteria

  • 18 Coding exercises
  • 5 Assignments
  • 5 Quizzes
  • Capstone Project
  • Group activities
  • Presentations

Learning Objectives

  • Anyone interested in Machine Learning.
  • College students who want to build a career in Data Science.
  • Data analysts who are willing to level up in Machine Learning.
  • People who are dissatisfied with their job and are willing to become Data scientists.
  • People who are willing to add value to their business by using robust Machine Learning tools.
  • Students must have at least high school knowledge in maths and must be willing to learn Machine Learning.
  • Any intermediate-level person who has an idea about the basics of machine learning, classical algorithms like logistic regression or linear regression, but who wants to learn more about it and explore different fields of Machine Learning.

Weekday Batches

  • Batch 01Weekday Batches (09:00 AM – 10:00 AM)
  • Batch 02Weekday Batches (10:00 AM – 11:00 AM)
  • Batch 03Weekday Batches (11:00 AM – 12:00 PM)
  • Batch 04Weekday Batches (12:00 PM – 01:00 PM)
  • Batch 05Weekday Batches (01:00 PM – 02:00 PM)
  • Batch 06Weekday Batches (02:00 PM – 03:00 PM)
  • Batch 07Weekday Batches (03:00 PM – 04:00 PM)
  • Batch 08Weekday Batches (04:00 PM – 05:00 PM)
  • Batch 09Weekday Batches (05:00 PM – 06:00 PM)
  • Batch 10Weekday Batches (06:00 PM – 07:00 PM)
  • Batch 11Weekday Batches (07:00 PM – 08:00 PM)

Weekend Batches

  • Batch 01Weekend Batches (08:00 AM – 09:00 AM)
  • Batch 02Weekend Batches (09:00 AM – 10:00 AM)
  • Batch 03Weekend Batches (10:00 AM – 11:00 AM)
  • Batch 04Weekend Batches (11:00 AM – 12:00 PM)
  • Batch 05Weekend Batches (05:00 PM – 06:00 PM)
  • Batch 06Weekend Batches (06:00 PM – 07:00 PM)

Hands-on Workshops

Interview Preparation

CV Preparation

Personality Development

LARRY

Join the Machine Learning Advanced Certificate course to start creating ML algorithms in Python and R with data science educators. Become a seasoned machine learning expert with LSET’s practical and project-based learning environment.

Course Content

Browse the LSET interactive and practical curriculum

Introduction

>> Course Introduction >> How to make the best of this course >> GIT Introduction and Setup >> Data Pre-processing

Regression

>> Scikit-Learn >> EDA >> Correlation Analysis and Feature Selection >> Linear Regression with Scikit-Learn
>> Five Steps Machine Learning Process >> Robust Regression >> Evaluate Regression Model Performance >> Multiple Regression 1
>> Multiple Regression 2 >> Regularised Regression >> Polynomial Regression >> Dealing with Non-linear Relationships
>> Feature Importance >> Data Preprocessing >> Variance-Bias Trade Off >> Learning Curve
>> Cross Validation >> CV Illustration

Classification

>> Logistic Regression >> Introduction to Classification >> Understanding MNIST >> SGD
>> Performance Measure and Stratified k-Fold >> Confusion Matrix >> Precision >> Recall
>> f1 >> Precision Recall Tradeoff >> Altering the Precision Recall Tradeoff >> ROC

Support Vector Machine (SVM)

>> Support Vector Machine (SVM) Concepts >> Linear SVM Classification >> Polynomial Kernel >> Radial Basis Function
>> Support Vector Regression

Tree

>> Introduction to Decision Tree >> Training and Visualising a Decision Tree >> Visualizing Boundary >> Tree Regression, Regularisation and Over Fitting
>> End to End Modelling

Ensemble Machine Learning

>> Ensemble Learning Methods Introduction >> Bagging >> Random Forests and Extra-Trees >> AdaBoost
>> Gradient Boosting Machine >> XGBoost Installation >> XGBoost >> Ensemble of Ensembles Part 1 >> Ensemble of Ensembles Part 2

Unsupervised Learning: Dimensionality Reduction

>> Dimensionality Reduction Concept >> PCA Introduction >> Project Wine >> Kernel PCA
>> Kernel PCA Demo >> LDA vs PCA

Deep Learning

>> Estimating Simple Function with Neural Networks >> Neural Network Architecture >> Motivational Example – Project MNIST >> Binary Classification Problem
>> Natural Language Processing – Binary Classification

Appendix A1: Foundations of Deep Learning

>> Introduction to Neural Networks >> Differences between Classical Programming and Machine Learning >> Learning Representations >> What is Deep Learning
>> Learning Neural Networks >> Building Block Introduction >> Tensors >> Tensor Operations
>> Tensor Operations >> Gradient Based Optimization >> Getting Started with Neural Network and Deep Learning Libraries >> Categories of Machine Learning
>> Over and Under Fitting >> Machine Learning Workflow

Computer Vision and Convolutional Neural Network (CNN)

>> Outline >> Neural Network Revision >> Motivational Example >> Visualizing CNN
>> Understanding CNN >> Layer – Input >> Layer – Filter >> Activation Function
>> Pooling, Flatten, Dense >> Training Your CNN 1 >> Training Your CNN 2 >> Loading Previously Trained Model
>> Model Performance Comparison >> Data Augmentation >> Transfer Learning >> Feature Extraction

*Modules of our curriculum are subject to change. We update our curriculum based on the new releases of the libraries, frameworks, Software, etc. Students will be informed about the final curriculum in the course induction class.

Having Doubts?

Contact LSET Counsellor

We love to answer questions, empower students, and motivate professionals. Feel free to fill out the form and clear up your doubts related to our Machine learning Course

Best Career Paths

Machine Learning Engineer

A machine learning engineer (ML engineer) is a person in IT who focuses on researching, building and designing self-running artificial intelligence (AI) systems to automate predictive models.

Business Intelligence (BI) Developer

A business intelligence developer is an engineer that's in charge of developing, deploying, and maintaining BI interfaces. Those include query tools, data visualisation and interactive dashboards, ad hoc reporting, and data modeling tools.

Data Scientist

A data scientist is someone who makes value out of data. Such a person proactively fetches information from various sources and analyses it for better understanding about how the business performs, and to build AI tools that automate certain processes within the company.

Human-Centered Machine Learning Designer

A human-centered machine learning designer works to create technology-based programs, applications, and devices that ultimately solve the issues experienced by people using the technology.

Computational Linguist

Computational linguistics is the scientific and engineering discipline concerned with understanding written and spoken language from a computational perspective, and building artifacts that usefully process and produce language, either in bulk or in a dialogue setting.

Software Developer

Software engineers design, develop, and test software and applications for computers. The main duties and responsibilities of software engineers include directing and participating in programming activities, monitoring, and evaluating system performance, and designing and implementing new programs and features.

Top Companies Hiring

Amazon

Amazon

APPLE

Apple

BANK OF AMERICA

Bank of America

Google

Google

Microsoft

MICROSOFT

Faculties & Mentors

Mayur Ramgir

Mayur Ramgir

Mentor Panel

Milos Tomic

Milos Tomic

Reasons to learn Machine learning

  • Amazing job opportunities as the demand for Machine learning professionals is increasing at a high pace
  • Machine learning enhances your decision-making power and it is easy to understand and learn.
  • As per the survey average salary of machine learning, professionals is £52,000.
  • Less completion in the field as there is an alarming gap between the demand and supply of machine learning professionals.

Who should apply for this course?

  • Students who are willing to take machine learning as a career and want proficiency in this domain.
  • It is also a great course for working professionals who want to shift to the Machine learning domain.
  • Students who want to achieve a great and successful career.
  • It is the best course for students who want to build a strong foundation in Machine learning.

About Course

If you are willing to build your career in Machine Learning. Then this course is exclusively for you!

This course will help you learn about complex theory, algorithms, and coding libraries in a much simpler way. We will be your guide and help you ace into the World of Machine Learning.

With every tutorial, you will learn new skills and improve your understanding of this lucrative sub-field of Data Science. This course is exciting and challenging, but at the same time, we dive deep into the concepts of Machine Learning.

  • This course enhances your machine learning skills to help you land your dream job.
  • Through this course, you will get in-depth information about python and its machine learning library.
  • Career guidance and doubt resolving sessions with industry expert.
  • Learning through hands-on experience and live project development.
  • You will learn in detail about NLP, Reinforcement Learning, and Deep Learning, and a lot more.

The Course Provides Shared Expertise by

LSET Trainers

LSET Trainers

Industry Expert

Industry Expert

Top Employers

Top Employers

Skills You will Gain

  • Computer science fundamentals
  • Programming
  • Math and statistics
  • Machine Learning Workflow
  • Deep learning
  • Problem solving
  • Artificial intelligence
  • Software engineering
  • System Design
  • Classification
  • Neural Network Architecture
  • Polynomial Kernel

Complete Learning Experience

This course provides a hands-on, guided learning experience to help you learn the fundamentals practically.
  • We constantly update the curriculum to include the latest releases and features.
  • We focus on teaching the industry's best practices and standards.
  • We let you explore the topics through guided hands-on sessions.
  • We provide industry professional mentor support to every student.
  • We give you an opportunity to work on real world examples.
  • Work with hands-on projects and assignments.
  • We help you build a technical portfolio that you can present to prospective employers.

Reasons to Choose LSET

  • Interactive live sessions by industry expert.
  • Practical classes with project-based learning with hands-on activities.
  • International learning platform to promote collaboration and teamwork.
  • Most up-to-date course curriculum based on current industry demand.
  • Gain access to various e-learning resources.
  • One-to-one attention to ensure maximum participation in the classes.
  • Lifetime career guidance to get the students employed in good companies.
  • Free lifetime membership to the LSET Alumni Club

What Will Be Your Responsibilities?

  • Work creatively in a problem-solving environment.
  • Ask questions and participate in class discussions.
  • Work on assignments and quizzes promptly.
  • Read additional resources on the course topics and ask questions in class.
  • Actively participate in team projects and presentations.
  • Work with the career development department to prepare for interviews
  • Respond promptly to the instructors, student service officers, career development officers, etc.
  • And most importantly, have fun while learning at LSET.
What Will Be Your Responsibilities
Benefits of LSET Certificate

What to expect after completing the course?

After earning your certificate from LSET, you can join the LSET’s Alumni club. There are countless benefits associated with the Alumni Club membership. As a member of LSET Alumni, you can expect the following;
  • LSET to hold your hand to find a successful career
  • Advice you on choosing the right job based on your passion and goals
  • Connect you with industry expert for career progression
  • Provide you opportunities to participate in events to keep yourself updated
  • Provide you with a chance to contribute to the game-changing open-source projects
  • Provide you with a platform to shine by allowing you to speak at our events

Benefits of LSET Certificate

Earning the LSET Certificate means you have demonstrated hard-working capabilities and learnt the latest technologies by completing hands-on exercises and real-world projects.

Following are some of the traits employers can trust you have built up through your course;
  • You know how to work in a team environment and communicate well.
  • You know the tools which are necessary for your desired job.
  • You know how to use the latest technologies to develop technologically advanced solutions.
  • You have developed problem-solving skills to navigate complex problem scenarios and find the right solutions.
  • You are now ready to take on the challenge and help your prospective employer to build the desired solutions.
Benefits of LSET Certificate

Tools & Technologies You Will Learn from This Course

Keras

Shogun

Pattern

Theano

Scikit-Learn

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Start Your Journey to becoming a Professional Machine Learning Expert

LSET could provide the perfect headstart to start your career in Machine Learning with Python.

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