Professional Certificate in Artificial Intelligence Machine Learning for Software Engineers

Friday, 12 September 2025 06:48:20

International applicants and their qualifications are accepted

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Overview

Overview

Artificial Intelligence Machine Learning

is a rapidly evolving field that's transforming the way software engineers design, develop, and deploy intelligent systems. This Professional Certificate program is designed for software engineers who want to acquire the skills needed to build and integrate AI and machine learning models into their applications.

By completing this program, you'll gain a deep understanding of the fundamentals of AI and machine learning, including data preprocessing, model selection, and deployment. You'll also learn how to apply these concepts to real-world problems and develop predictive models that drive business value.

Some of the key topics covered in this program include natural language processing, computer vision, and reinforcement learning. You'll also learn how to work with popular AI and machine learning frameworks such as TensorFlow and PyTorch.

Whether you're looking to stay ahead of the curve or launch a new career in AI and machine learning, this Professional Certificate program is an excellent choice. So why wait? Explore this program further and start building the skills you need to succeed in this exciting field.

Artificial Intelligence is revolutionizing the software engineering landscape, and this Professional Certificate in AI Machine Learning is designed to equip you with the skills to thrive in this exciting field. By mastering the fundamentals of AI and machine learning, you'll gain a competitive edge in the job market and unlock new career prospects. This course covers key topics such as data preprocessing, model selection, and deployment, with a focus on practical applications. You'll also learn from industry experts and have access to a community of like-minded professionals. With this certification, you'll be well on your way to a successful career in Artificial Intelligence and Machine Learning.

Entry requirements

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content

• Supervised Learning
• Unsupervised Learning
• Reinforcement Learning
• Deep Learning
• Neural Networks
• Natural Language Processing
• Computer Vision
• Predictive Modeling
• Data Preprocessing
• Model Evaluation

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:
1 month (Fast-track mode): £140
2 months (Standard mode): £90

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

 The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Professional Certificate in Artificial Intelligence Machine Learning for Software Engineers

The Professional Certificate in Artificial Intelligence Machine Learning for Software Engineers is a comprehensive program designed to equip software engineers with the necessary skills to develop intelligent systems that can learn and adapt to new data.
This program focuses on the application of machine learning algorithms and techniques to real-world problems, enabling software engineers to create more efficient and effective software solutions.
Upon completion of the program, learners will be able to apply machine learning concepts to develop predictive models, natural language processing systems, and computer vision applications.
The duration of the program is approximately 12 weeks, with learners expected to dedicate around 10 hours per week to coursework and assignments.
The program is highly relevant to the software engineering industry, as machine learning is becoming increasingly important in the development of intelligent systems.
Many top tech companies, such as Google, Amazon, and Microsoft, are heavily investing in machine learning research and development, making it an in-demand skill for software engineers.
The program is designed to be self-paced, allowing learners to work at their own speed and convenience.
The Professional Certificate in Artificial Intelligence Machine Learning for Software Engineers is offered by leading online education providers, such as Coursera and edX, and is recognized by top universities and industry partners.
This program is ideal for software engineers who want to enhance their skills in machine learning and artificial intelligence, and are looking to stay up-to-date with the latest trends and technologies in the field.
By completing this program, learners can demonstrate their expertise in machine learning and artificial intelligence to potential employers, and can increase their earning potential in the job market.
The program covers a range of topics, including supervised and unsupervised learning, deep learning, and natural language processing, and is designed to be accessible to learners with little to no prior knowledge of machine learning.
The Professional Certificate in Artificial Intelligence Machine Learning for Software Engineers is a valuable addition to any software engineer's skillset, and can help them to stay competitive in the job market.

Why this course?

Artificial Intelligence (AI) and Machine Learning (ML) are transforming the software engineering landscape in the UK, with a significant demand for professionals with expertise in these areas. According to a report by the UK's Office for National Statistics (ONS), the number of AI and ML jobs in the UK has increased by 50% in the past year alone. The same report states that the UK is home to over 10,000 AI and ML startups, with many more established companies investing heavily in these technologies. Professional Certificates in AI and ML are becoming increasingly popular among software engineers in the UK, with many institutions offering courses and certifications in these areas.
Year Number of AI and ML Jobs
2020 6,400
2021 9,600
2022 12,000

Who should enrol in Professional Certificate in Artificial Intelligence Machine Learning for Software Engineers?

Ideal Audience for Professional Certificate in Artificial Intelligence Machine Learning for Software Engineers Are you a software engineer looking to upskill in AI and machine learning? You're in the right place.
Key Characteristics: Typically have a degree in computer science, software engineering, or a related field. Possess programming skills in languages like Python, Java, or C++. Have experience with software development methodologies and Agile frameworks. Are eager to learn and adapt to new technologies.
UK-Specific Statistics: According to a report by the Royal Society of Engineering, the UK is facing a shortage of 140,000 skilled data scientists and analysts by 2028. Meanwhile, a survey by the Chartered Institute of Building Services Engineering found that 75% of respondents believe that AI and machine learning will have a significant impact on the construction industry in the next five years.
What to Expect: A comprehensive program that covers the fundamentals of AI and machine learning, including supervised and unsupervised learning, neural networks, and deep learning. Hands-on projects and case studies to apply theoretical knowledge to real-world scenarios. A supportive community of peers and industry experts to guide your learning journey.