Artificial Intelligence Course & Training Level 4

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Artificial Intelligence Course & Training Level 4

Overview

Artificial Intelligence (AI) Course & Training Level 4


Unlock the full potential of Artificial Intelligence with our comprehensive course, designed for professionals and enthusiasts alike.


Develop a deep understanding of AI fundamentals, including machine learning, natural language processing, and computer vision.


Learn from industry experts and apply AI concepts to real-world problems, enhancing your skills in data analysis, predictive modeling, and more.


Perfect for those looking to upskill or reskill in the AI field, this course is ideal for:


Data scientists and analysts


Software developers and engineers


Business professionals seeking to leverage AI for competitive advantage.


Join our AI community today and take the first step towards a future powered by intelligent technology.

Artificial Intelligence is revolutionizing industries worldwide, and this course is designed to equip you with the skills to thrive in this exciting field. By completing Artificial Intelligence Course & Training Level 4, you'll gain a deep understanding of AI concepts, including machine learning, natural language processing, and computer vision. With this knowledge, you'll be able to design and develop intelligent systems that can learn, reason, and interact with humans. This course offers career opportunities in AI, data science, and related fields, with a strong focus on Artificial Intelligence applications. You'll also learn from industry experts and gain hands-on experience with AI tools.

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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

•
Machine Learning Fundamentals: This unit covers the basics of machine learning, including supervised and unsupervised learning, regression, classification, clustering, and neural networks. Primary keyword: Machine Learning, Secondary keywords: Artificial Intelligence, Deep Learning. •
Deep Learning Techniques: This unit delves into the world of deep learning, exploring convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory (LSTM) networks. Primary keyword: Deep Learning, Secondary keywords: Artificial Intelligence, Machine Learning. •
Natural Language Processing (NLP): This unit focuses on NLP, covering topics such as text preprocessing, sentiment analysis, named entity recognition, and language models. Primary keyword: Natural Language Processing, Secondary keywords: Artificial Intelligence, Machine Learning. •
Computer Vision: This unit explores the world of computer vision, covering topics such as image processing, object detection, segmentation, and recognition. Primary keyword: Computer Vision, Secondary keywords: Artificial Intelligence, Machine Learning. •
Reinforcement Learning: This unit covers the basics of reinforcement learning, including Markov decision processes, Q-learning, and policy gradients. Primary keyword: Reinforcement Learning, Secondary keywords: Artificial Intelligence, Machine Learning. •
Neural Networks and Brain Computing: This unit explores the basics of neural networks, including feedforward networks, backpropagation, and neural Turing machines. Primary keyword: Neural Networks, Secondary keywords: Artificial Intelligence, Brain-Computer Interfaces. •
Expert Systems and Knowledge Representation: This unit covers the basics of expert systems, including rule-based systems, decision trees, and knowledge graphs. Primary keyword: Expert Systems, Secondary keywords: Artificial Intelligence, Knowledge Representation. •
Human-Computer Interaction and User Experience: This unit explores the design of user interfaces, including user experience (UX) design, human-computer interaction, and accessibility. Primary keyword: Human-Computer Interaction, Secondary keywords: Artificial Intelligence, User Experience. •
Ethics and Fairness in AI: This unit covers the ethics of AI, including fairness, bias, transparency, and accountability. Primary keyword: Ethics in AI, Secondary keywords: Artificial Intelligence, Fairness, Bias. •
AI Applications and Case Studies: This unit applies AI concepts to real-world problems, covering case studies in healthcare, finance, and education. Primary keyword: AI Applications, Secondary keywords: Artificial Intelligence, Machine Learning.

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

Key facts about Artificial Intelligence Course & Training Level 4

Artificial Intelligence (AI) Course & Training Level 4 is designed to equip learners with the skills and knowledge required to develop intelligent systems that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, and language translation.

Learning Outcomes:

Upon completion of this course, learners will be able to:

Design and develop intelligent systems using machine learning and deep learning techniques

Apply AI and machine learning algorithms to solve complex problems in various industries

Evaluate and improve the performance of AI systems using metrics such as accuracy, precision, and recall

Duration:

The duration of this course is 12 weeks, with 4 weeks of theoretical learning and 8 weeks of practical application and project work.

Learners will be required to complete a series of assignments and projects that will help them develop their skills and knowledge in AI and machine learning.

Industry Relevance:

AI is becoming increasingly relevant in various industries, including healthcare, finance, transportation, and customer service.

By completing this course, learners will gain the skills and knowledge required to develop intelligent systems that can be applied in these industries and beyond.

The course is designed to be industry-agnostic, allowing learners to apply their skills and knowledge in a variety of contexts.

Prerequisites:

There are no prerequisites for this course, but learners are expected to have a basic understanding of programming concepts and data structures.

Learners who have completed a Level 3 course in AI or a related field may be eligible for advanced entry into this course.

Assessment:

Learners will be assessed through a combination of assignments, projects, and exams.

The assessment will be based on the learner's ability to apply their knowledge and skills in AI and machine learning to real-world problems.

Why this course?

Artificial Intelligence Course & Training Level 4 holds immense significance in today's market, particularly in the UK. According to Google Charts 3D Column Chart, the UK's AI market is expected to reach **£4.9 billion by 2025**, growing at a CAGR of 22.5% (Source: Statista, 2022).
Year AI Market Size (£ billion)
2020 1.4
2022 2.2
2025 4.9
A Level 4 AI course provides learners with the necessary skills to develop intelligent systems that can learn, reason, and interact with humans. According to a survey by the UK's Institute of Coding, **70% of employers** believe that AI skills are essential for the future of work (Source: Institute of Coding, 2022).

Who should enrol in Artificial Intelligence Course & Training Level 4?

Ideal Audience for Artificial Intelligence Course & Training Level 4 Artificial Intelligence (AI) professionals and individuals seeking to upskill in the UK are the primary target audience for this course.
Job Roles Data analysts, data scientists, business analysts, and IT professionals working in various industries, including finance, healthcare, and technology, can benefit from this course.
Education Background Those with a degree in computer science, mathematics, statistics, or a related field, or those with relevant work experience, are well-suited for this course.
Career Goals Individuals seeking to transition into AI-related roles, such as machine learning engineer or AI researcher, or those looking to enhance their skills in areas like natural language processing or computer vision, can benefit from this course.
Industry Affinity Professionals working in industries like finance, healthcare, and technology, where AI is increasingly being adopted, can benefit from this course.