MBA with Professional Certificate in Intro to Q-Learning

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International Students can apply

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MBA with Professional Certificate in Intro to Q-Learning

Overview

Q-Learning

is a powerful reinforcement learning algorithm used in artificial intelligence and machine learning to make decisions in complex environments. This introductory course is designed for professionals and individuals looking to learn Q-Learning from scratch.

Through this program, you'll gain a deep understanding of Q-Learning's core concepts, including state and action spaces, reward functions, and exploration-exploitation trade-offs. You'll also learn how to implement Q-Learning in Python using popular libraries like gym and TensorFlow.

By the end of this course, you'll be able to apply Q-Learning to real-world problems and improve your decision-making skills in complex systems. Take the first step towards mastering Q-Learning and start learning today!

Q-Learning is a game-changing approach to artificial intelligence that's revolutionizing industries worldwide. This MBA with Professional Certificate in Intro to Q-Learning will equip you with the skills to harness the power of Q-Learning, a type of reinforcement learning that enables machines to learn from trial and error. By combining Q-Learning with business acumen, you'll gain a competitive edge in the job market. Key benefits include improved decision-making, enhanced problem-solving, and increased innovation. Career prospects are vast, with applications in finance, healthcare, and technology. Unique features include hands-on project work, expert mentorship, and a supportive community. (18)

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 Fundamentals •
Q-Learning Algorithms •
Q-Learning Applications •
Reinforcement Learning •
Markov Decision Processes •
Q-Value Computation •
Exploration-Exploitation Tradeoff •
Deep Q-Networks •
Q-Learning in Real-World Scenarios •
Q-Learning with Partially Observable Environments

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)

40% Cheaper

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).

Apply Now

  • 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 Intro to Q-Learning

The MBA with Professional Certificate in Intro to Q-Learning is a comprehensive program designed to equip students with the necessary skills and knowledge in artificial intelligence and machine learning.
This program focuses on the application of Q-learning, a type of reinforcement learning, to solve complex problems in various industries.
Through this program, students will learn how to design and implement Q-learning algorithms, analyze data, and evaluate the performance of these algorithms.
The learning outcomes of this program include the ability to apply Q-learning to real-world problems, understand the limitations and challenges of Q-learning, and develop a deep understanding of the underlying mathematics and algorithms.
The duration of this program is typically 6-12 months, depending on the institution and the student's prior experience and background.
The industry relevance of this program is high, as Q-learning is widely used in various fields such as robotics, finance, and healthcare.
Many companies, including those in the tech and finance sectors, are looking for professionals who have expertise in Q-learning and reinforcement learning.
By completing this program, students can enhance their career prospects and gain a competitive edge in the job market.
The program is designed to be flexible, with online and part-time options available to accommodate the needs of working professionals.
Overall, the MBA with Professional Certificate in Intro to Q-Learning is an excellent choice for individuals who want to gain a deeper understanding of Q-learning and its applications in various industries.

Why this course?

Q-Learning is a crucial skill in today's market, particularly in the field of artificial intelligence and machine learning. According to a survey by the Association of Chartered Certified Accountants (ACCA) in the UK, 71% of employers believe that data science and machine learning skills are essential for future business success.
Industry Q-Learning Adoption Rate
Finance 60%
Healthcare 55%
Retail 65%

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

Ideal Audience for MBA with Professional Certificate in Intro to Q-Learning Professionals seeking to enhance their data-driven decision-making skills, particularly in the UK, where 71% of businesses use machine learning to drive growth, are the primary target audience for this program.
Key Characteristics: Individuals with an MBA or equivalent degree, looking to gain expertise in Q-Learning, a key algorithm in artificial intelligence and machine learning, are well-suited for this program. In the UK, 62% of professionals in the finance sector use machine learning, making this program particularly relevant for finance professionals.
Career Goals: Graduates of this program can expect to enhance their career prospects in data science, business analytics, and artificial intelligence, with 55% of UK professionals in the data science field expecting to increase their salaries in the next two years.
Prerequisites: A basic understanding of programming concepts, such as Python and R, is recommended, as is prior knowledge of machine learning and data analysis. In the UK, 45% of professionals in the finance sector have a basic understanding of machine learning, making this program accessible to a wide range of learners.