MBA with Professional Certificate in Q-Learning Basics

Thursday, 23 April 2026 13:54:44

International Students can apply

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MBA with Professional Certificate in Q-Learning Basics

Overview

Q-Learning Basics


Master the fundamentals of Q-Learning, a key concept in Reinforcement Learning, with our MBA with Professional Certificate program.


Designed for professionals and MBA students, this course provides a comprehensive introduction to Q-Learning, covering its applications, algorithms, and implementation.


Some of the topics covered include: Q-Function, Exploration-Exploitation Trade-off, Off-policy Learning, and Temporal Difference Learning.

Develop your skills in Q-Learning and take your career to the next level with this engaging and interactive program.


Join our program today and start learning Q-Learning Basics!

Q-Learning is a powerful reinforcement learning technique that enables machines to learn from experience and make informed decisions. This Q-Learning course with a Professional Certificate in MBA provides a comprehensive introduction to the basics of Q-Learning, covering key concepts such as state and action spaces, reward functions, and exploration-exploitation trade-offs. By mastering Q-Learning, you'll gain a competitive edge in the field of artificial intelligence and machine learning, with career prospects in areas like robotics, autonomous vehicles, and personalized recommendations. With a unique blend of theoretical foundations and practical applications, this course is ideal for professionals looking to upskill in Q-Learning and MBA principles. (10)

Entry requirements

The Learners must possess:
● Level 6 Award/Diploma or a bachelors degree or any other equivalent qualification
or
● 5 years or more of work experience in case you do not hold any formal qualification
and
● Learner must be 18 years or older at the beginning of the course.



International Students can apply

Joining our world will be life-changing with a student body representing over 157 nationalities.

LSIB is truly an international institution with history of welcoming students from around the world. With us, you're not just a student, you're a member.

Course Content

• Q-Learning Basics • Q-Function Definition and Initialization • Exploration-Exploitation Trade-off in Q-Learning • Q-Learning Update Rule and Stability Analysis • Q-Learning with Function Approximation • Deep Q-Networks (DQN) for Q-Learning • Q-Learning with Double Q-Learning • Q-Learning and Deep Reinforcement Learning • Q-Learning with Prioritized Experience Replay • Q-Learning and Actor-Critic Methods

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

The programme is available in two duration modes:

12 Months: GBP £7700
18 Months: GBP £6700
This programme does not have any additional costs.
The fee is payable in monthly, quarterly, half yearly instalments.
You can avail 5% discount if you pay the full fee upfront in 1 instalment

Payment plans

12 Months - GBP £7700

● Payment option (a) - GBP £770 x 10 monthly instalments
● Payment option (b) - GBP £2566 x 3 quarterly instalments
● Payment option (c) - GBP £3850 x 2 half yearly instalments
● Payment option (d) - GBP £7315 x 1 instalment (We offer 5% discount on total fee for students opting to pay in full)

18 Months - GBP £6700

● Payment option (a) - GBP £478 x 14 monthly instalments
● Payment option (b) - GBP £1340 x 5 quarterly instalments
● Payment option (c) - GBP £2233 x 3 half yearly instalments
● Payment option (d) - GBP £6365 x 1 instalment (We offer 5% discount on total fee for students opting to pay in full)

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

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Accreditation

Stage 1 (Delivered by LSIB):
The programme involves delivery through on-line Learning Management System (LMS). This stage leads to award of Level 7 Diploma in Strategic Management and Leadership. Credits earned at this stage - 120 credits (60 ECTS).

Stage 2 (Delivered by LSIB):
This stage leads to award of Professional Certificate.

Stage 3 (Delivered by the University / awarding body)
On completion of the diploma programme you progress / Top up with Degree through a UK University for progression to the MBA degree. The stage 3 is delivered via distance learning by faculties from the University / awarding body. Credits earned at this stage - 60 credits (30 ECTS).

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  • 1. Complete the online enrolment form and Pay enrolment fee of GBP £10.
  • 2. Wait for our email with course start dates and fee payment plans. Your course starts once you pay the course fee.
  • Apply Now

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 MBA with Professional Certificate in Q-Learning Basics

The MBA with Professional Certificate in Q-Learning Basics is a comprehensive program designed to equip students with the knowledge and skills necessary to succeed in the field of artificial intelligence and machine learning.
This program focuses on the basics of Q-Learning, a type of reinforcement learning that enables agents to learn from their environment and make decisions that maximize a reward signal.
Through a combination of theoretical foundations and practical applications, students will gain a deep understanding of Q-Learning and its applications in various industries, including finance, healthcare, and transportation.
The program's learning outcomes include the ability to design and implement Q-Learning algorithms, analyze and optimize Q-Learning models, and apply Q-Learning to real-world problems.
The duration of the program is typically 6-12 months, depending on the institution and the student's prior experience and background.
The program is highly relevant to the industry, as Q-Learning is increasingly being used in various applications, including autonomous vehicles, robotics, and personalized recommendation systems.
By completing the MBA with Professional Certificate in Q-Learning Basics, students will be well-prepared to pursue careers in AI and machine learning, or to advance their existing careers in these fields.
The program is designed to be flexible and accessible, with online and part-time options available to accommodate the needs of working professionals and students.
Overall, the MBA with Professional Certificate in Q-Learning Basics is an excellent choice for anyone looking to gain a deeper understanding of Q-Learning and its applications in the field of artificial intelligence and machine learning.

Why this course?

Q-Learning Basics is a crucial skill in today's market, particularly in the field of artificial intelligence and machine learning. According to a survey conducted by the University of Cambridge, 71% of UK businesses believe that AI will have a significant impact on their industry by 2025. With the increasing demand for AI and machine learning professionals, having a professional certificate in Q-Learning Basics can give learners a competitive edge in the job market.
Industry Q-Learning Adoption Rate
Finance 45%
Healthcare 32%
Retail 28%

Who should enrol in MBA with Professional Certificate in Q-Learning Basics?

Q-Learning Basics Ideal Audience
Professionals seeking to upskill in machine learning and artificial intelligence Individuals with a background in business, finance, or management, looking to enhance their analytical skills and stay competitive in the job market.
Those interested in data-driven decision making and predictive analytics According to a report by the Chartered Institute of Management Accountants (CIMA), 70% of UK accountants and finance professionals believe that data analysis skills are essential for their role. This course is ideal for those looking to develop these skills.
Business leaders and entrepreneurs looking to leverage AI and machine learning In the UK, 1 in 5 businesses use AI and machine learning to drive growth and innovation. This course provides a solid foundation for those looking to integrate these technologies into their business strategy.