AI and Machine Learning for Business

Gain an in-depth understanding of core AI capabilities and how they can be applied within your organisation.

The course runs over 6 weeks and is broken down into manageable weekly topics: 
Week 1: Introduction to AI (What AI is and its main classes of applications and capabilities; The differences between different types of AI technologies ; Core technologies associated with AI; The relationship between AI and other technology trends such as big data, cloud computing, and the Internet of Things (IoT); The role of data in AI; The challenges in applying AI within organisations; The limitations of AI)
Week 2: Case study – Learning to know your customers (The difference between supervised and unsupervised machine-learning algorithms ; Fundamental classes of machine-learning, including regression, classification and clustering ; Types of business problems machine-learning can solve and machine-learning tasks that can be used to solve them; Activities and technologies used to build a Natural Language Processing (NLP) pipeline; Statistical processing and work distributions; Applying regression, classification, and clustering to extract information and recommend items to purchase; Analysis, assessment and interpretation of the results of machine-learning models)
Week 3: Case study – Enhancing the customer experience (The Turing test and how it can be used to improve AI systems; Important methods and technologies in natural language generation; Deep-learning approaches to NLP and what they’re used for; Important methods and tools in natural language understanding and speech recognition;Designing conversational agents (i.e. chatbots))
Week 4: Case study – Search and recommendation (Clustering algorithms; Topic modelling; Knowledge bases: How are they built? What purpose do they serve?; Using a knowledge base for Named Entity Recognition (NER); Introduction to the semantic web;Using the knowledge base to extract relevant information (i.e. SPARQL and Google Knowledge Graph)) 
Week 5:  Case study – Computer vision (Traditional approaches to image-processing and computer vision; Image classification and clustering; Feature extraction; Convolutional neural networks (CNNs); Combining CNNs with conversational agents to generate textual descriptions; Systems for automatic surveillance) 
Week 6: Future directions for AI 
(Current limitations; Technological advances; Societal and cultural shifts; Ethical, moral and legal issues)

After successfully completing the course, you’ll be able to: 

• Understand what AI technology is, its capabilities and limitations, and the potential benefits it can bring to your business 
• Identify AI’s main capabilities and the relevant technologies needed to deliver them 
• Explain the different components needed to deliver complex AI systems 
• Discuss the ethical, moral and legal implications of AI in various areas of today’s society 
• Identify different types and applications of data in delivering effective AI solutions 
• Identify various software that can be used to process, analyse, and draw meaning from natural language as well as from images and numerical data – enabling deeper insights 

Education provider:  

Southampton Data Science Academy

Southampton Data Science Academy forms part of the Web Science Institute at the University of Southampton - ranked among the top 100 of universities globally.  

Developed in partnership with leading global education specialists Cambridge Education Group (CEG), the Academy bridges the data skills gap in today’s increasingly data-driven world through world-class training and education from industry-leading academics and thought leaders in the field of data science.

CEG Digital partners with prestigious, high quality UK universities to deliver online or blended courses to a global market on a part-time, flexible basis. Courses are delivered using cutting-edge, tablet friendly technology and sector leading pedagogy. 
 
Southampton Data Science Academy training is CPD accredited, meaning it has reached the Continuing Professional Development (CPD) standards and benchmarks.

Start dates:

• TBA

Course fee: 1500 GBP per person, inclusive of VAT

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