AI L4 Part time Course

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AI L4 Part time Course

Overview

Artificial Intelligence (AI) is revolutionizing industries worldwide, and this part-time course is designed to equip you with the skills to harness its power.

Our AI L4 part-time course is tailored for professionals and individuals looking to upskill in AI, focusing on machine learning, data science, and natural language processing.

Learn from industry experts and gain hands-on experience with AI tools and technologies, enabling you to drive business growth and innovation.

Develop a strong foundation in AI principles, including data preprocessing, model training, and deployment, to stay ahead in the job market.

Join our AI L4 part-time course and take the first step towards a career in AI. Explore the course details and start your journey today!

AI L4 Part Time Course: Unlock the Power of Artificial Intelligence

Embark on a transformative journey with our AI L4 Part Time Course, designed to equip you with the skills and knowledge to thrive in the AI-driven world. Gain hands-on experience with cutting-edge technologies and develop a deep understanding of machine learning, natural language processing, and computer vision. Our course offers flexible learning options and expert guidance, ensuring you stay ahead of the curve. Upon completion, you'll be poised for exciting career opportunities in AI, data science, and related fields. Join our community of innovators and start your AI L4 journey today.

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Entry requirements




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

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Machine Learning Fundamentals: This unit covers the basics of machine learning, including supervised and unsupervised learning, regression, classification, clustering, and neural networks. It is essential for understanding the primary keyword: Machine Learning. •
Deep Learning: This unit delves into the world of deep learning, focusing on convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory (LSTM) networks. It is a crucial aspect of AI and a key secondary keyword: Artificial Intelligence. •
Natural Language Processing (NLP): This unit explores the intersection of computer science and linguistics, covering topics such as text preprocessing, sentiment analysis, and language modeling. It is a vital component of AI and a primary keyword: Natural Language Processing. •
Computer Vision: This unit examines the field of computer vision, including image processing, object detection, and image recognition. It is a critical aspect of AI and a secondary keyword: Image Recognition. •
Reinforcement Learning: This unit focuses on the development of intelligent agents that can learn from their environment and make decisions based on rewards or penalties. It is a key concept in AI and a primary keyword: Reinforcement Learning. •
Human-Computer Interaction (HCI): This unit explores the design of interfaces that are intuitive, user-friendly, and accessible. It is essential for creating AI systems that can interact with humans effectively and a secondary keyword: User Experience. •
Data Mining: This unit covers the process of discovering patterns and relationships in large datasets, including data preprocessing, feature selection, and model evaluation. It is a critical aspect of AI and a primary keyword: Data Mining. •
Expert Systems: This unit examines the development of systems that mimic human expertise, including rule-based systems and decision trees. It is a key concept in AI and a secondary keyword: Knowledge Representation. •
Ethics in AI: This unit explores the moral and societal implications of AI development, including bias, fairness, and transparency. It is a critical aspect of AI and a primary keyword: Ethics in AI. •
AI Applications: This unit covers the various applications of AI, including chatbots, virtual assistants, and predictive analytics. It is a key concept in AI and a secondary keyword: AI Applications.

Assessment

The assessment is done via submission of assignment. There are no written exams.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration

The programme is available in two duration modes:

:
:
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

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40% Cheaper

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

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Accreditation

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
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Career path

**Career Role** **Average Salary (UK)** **Job Market Growth Rate (%)** **Skill Demand Index** **Industry Relevance**
Data Scientist £12,000 - £20,000 8% 6 High
Artificial Intelligence/Machine Learning Engineer £9,000 - £18,000 9% 7 High
Cyber Security Specialist £7,000 - £15,000 7% 5 High
Full Stack Developer £6,000 - £14,000 6% 4 Medium
Data Analyst £5,000 - £12,000 5% 3 Medium
Business Analyst £4,500 - £11,000 4% 2 Medium
Quantitative Analyst £4,000 - £10,000 3% 1 Low
UX/UI Designer £3,500 - £9,000 2% 0 Low
DevOps Engineer £3,000 - £8,000 1% -1 Low
Cloud Computing Professional £2,500 - £7,000 0% -2 Low

Key facts about AI L4 Part time Course

The AI L4 Part-time Course is designed to equip students with the skills and knowledge required to succeed in the field of Artificial Intelligence, with a focus on Industry 4.0 and its applications.

Learning Outcomes:

Upon completion of the course, students will be able to:

• Develop a deep understanding of AI concepts, including machine learning, deep learning, and natural language processing.

• Apply AI techniques to real-world problems and projects, with a focus on Industry 4.0 and its applications.

• Analyze and interpret complex data sets, and develop predictive models using machine learning algorithms.

• Design and develop intelligent systems, including chatbots, virtual assistants, and autonomous vehicles.

Duration:

The AI L4 Part-time Course is designed to be completed over a period of 12 months, with 2 modules per semester.

Each module is 6 weeks long, and students are required to complete a minimum of 12 hours of coursework per week.

Students can choose to complete the course on a part-time basis, with flexible scheduling to accommodate their work and personal commitments.

Industry Relevance:

The AI L4 Part-time Course is designed to equip students with the skills and knowledge required to succeed in the field of AI, with a focus on Industry 4.0 and its applications.

Industry 4.0 is transforming the way businesses operate, and AI is at the heart of this transformation.

Students who complete the course will be in high demand by employers, and will have the skills and knowledge required to succeed in a rapidly changing job market.

Why this course?

AI L4 Part-time Course Significance in Today's Market The UK's AI industry is rapidly growing, with the market expected to reach £1.1 billion by 2025, growing at a CAGR of 22% (Source: ResearchAndMarkets). To cater to this demand, AI L4 part-time courses are becoming increasingly popular among professionals and learners alike. These courses provide a comprehensive understanding of artificial intelligence, enabling individuals to upskill and reskill in the field. According to a survey by the UK's Professional Association for Software Security (PASS), 71% of respondents believe that AI and machine learning will have a significant impact on their industry in the next 5 years (Source: PASS). This trend is expected to continue, with the UK's AI market projected to create over 140,000 new jobs by 2025 (Source: Digital Catapult).
Year Number of AI Jobs
2020 34,000
2025 140,000

Who should enrol in AI L4 Part time Course?

Ideal Audience for AI L4 Part-time Course
Professionals seeking to upskill in AI and machine learning, with a focus on those in the UK, where 1 in 5 jobs are at high risk of automation (Source: PwC), are the primary target audience for this course. With 71% of UK businesses already using AI, and 75% planning to increase their AI spend in the next 2 years (Source: Gartner), this course is designed to equip learners with the necessary skills to remain relevant in the job market.
Individuals with a strong foundation in computer science, mathematics, or data science, and those looking to transition into AI-related roles, such as data scientist, machine learning engineer, or AI researcher, are also ideal candidates for this course. With the UK's AI sector expected to grow to £1.3 billion by 2025, and 63% of UK businesses believing that AI will have a significant impact on their operations (Source: PwC), this course provides learners with the skills and knowledge to capitalize on this growth.
The course is designed to be accessible to those with some prior experience in AI, as well as those new to the field, with a focus on providing a comprehensive understanding of AI and machine learning concepts, and the skills to apply them in real-world scenarios. By the end of the course, learners will have gained the skills and knowledge to pursue a range of AI-related career paths, and be equipped to make a positive impact in their chosen field.