Machine Learning, Java and Python Programming
Imperial Academy
3 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 10 CPD Courses | Lifetime Access
Summary
- Certificate of completion - Free
- Multiple Choice Questions (MCQ)/Assignment (included in price) (included in price)
- Tutor is available to students
Add to basket or enquire
Overview
Achievement
Certificates
Certificate of completion
Hard copy certificate - Included
Assessment details
Multiple Choice Questions (MCQ)/Assignment (included in price)
Included in course price
CPD
Course media
Description
This course develops technical expertise in programming and artificial intelligence, providing a strong foundation in Python and Java for real-world applications. Learners explore core programming principles, algorithm development, and coding best practices.
Students dive into machine learning concepts, including supervised and unsupervised learning, neural networks, and predictive modelling. Emphasis is placed on combining coding skills with data analysis to create intelligent systems and automate complex processes.
Learners also develop advanced programming capabilities, handling large datasets, and implementing machine learning algorithms to solve real-world challenges. The course fosters analytical thinking, problem-solving, and algorithmic expertise, preparing learners to thrive in software development, AI, and data science careers.
Certificate
QLS-endorsed courses are designed to provide learners with the skills and knowledge they need to succeed in their chosen field.
The Quality Licence Scheme is a distinguished and respected accreditation in the UK, denoting exceptional quality and excellence. It carries significant weight among industry professionals and recruiters.
Upon completion, learners will receive Three QLS Endorsed hard copy certificates, making it easy for them to showcase their achievements. These certificates validate their course completion, the level of the course they have completed, and the QLS endorsement.
Who is this course for?
- Learners aiming to acquire advanced programming and machine learning skills for careers in software development, artificial intelligence, and data science confidently.
- Those seeking to enhance coding, analytical thinking, and algorithmic problem-solving capabilities for high-demand technology and AI-driven industries effectively.
- Individuals aspiring to develop expertise in Python, Java, and machine learning to design intelligent systems and innovative software applications successfully.
- Learners wanting to strengthen technical proficiency in data analysis, neural networks, and predictive modelling for strategic decision-making and automation effectively.
- Those seeking to position themselves competitively in the technology sector by mastering programming, AI development, and advanced computational skills efficiently.
Requirements
Anyone can enrol in this course.
Career path
- Machine Learning Engineer (£35,000 – £65,000)
- Data Scientist (£32,000 – £60,000)
- AI Specialist (£38,000 – £62,000)
- Software Developer (£28,000 – £55,000)
- Python Developer (£30,000 – £50,000)
- Java Developer (£28,000 – £52,000)
- Data Analyst (£27,000 – £48,000)
- AI Researcher (£36,000 – £60,000)
Questions and answers
Currently there are no Q&As for this course. Be the first to ask a question.
Reviews
Currently there are no reviews for this course. Be the first to leave a review.
Legal information
This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.