Advanced AI in Business Analytics

Advanced AI in Business Analytics

Artificial Intelligence, robots and robotics: it's not coming, it's already here! Are they taking over your job or are they tools for you to stay successful? In two days (+ e-learning) you will learn how to make AI work for you. After the training, you are able to make better predictions about customer behaviour. You will also make faster and more accurate analyses from large amounts of data. In any case, 'data' is the key word when using AI successfully. That is why this advanced training goes deeper into the correct use of data. You will learn to apply advanced techniques such as machine learning, deep learning and Natural Language Processing and how to use them to analyse complex data sets, predict customer behaviour and develop personalisation campaigns.

After this AI training, you will be able to gain valuable insights from data better and convert them into concrete actions.

In 2 days you learn

✔️ How to use clustering, classification and regression to make predictions
✔️ To find the AI opportunities in your organisation
✔️ What robots, robotics and Artificial Intelligence can do
✔️ To use your Generative AI with Prompt Engineering for all kinds of content
✔️ To build your own basic application at advanced level
✔️ To know the ethical dilemmas and risks that arise with the introduction of AI

This training is very practical. Prior to the training, you complete the e-learning in your own time and pace to master the theoretical basis. 

FOR WHOM IS THIS training INTENDED

This training is designed for data-driven professionals with several years of work experience in marketing, sales, service, CX or product management. You believe in the power of data and AI, have been working with data for some time and know how to analyse data. You make a difference through your smart applications but also have an eye for ethical dilemmas and risks.

For this training, we expect the skills level of a bachelor's degree holder. In addition, you have a strong affinity and experience with data, statistics and data-driven work.

INCOMPANY

All the courses in our catalogue can be customised to your organisation and hosted at a location and schedule of your preference. Continue to read more about our incompany and tailor-made programs. 

experts from the field

Beeckestijn Business School works with outstanding teachers with a lot of experience within the field they operate in. This way our lessons are a mix of theory and practice, and we use inspiring cases and examples from the field.

experts

Alex Dowdalls is founder and partner at AXVECO BV and helps customers innovate their business models by deploying digital technologies such as AI and blockchain.

The program consists of the following parts:

E-learning: AI in practice (4-6 hours)

• Data, robots and Artificial Intelligence
• Predictions and algorithms
• AI data management
• Ethics and risks
• Human and machine

Day 1: From data to knowledge

• The pyramid: ‘Data-Information-Wisdom-Knowledge’
• Traditional machine learning and deep learning with complex data
• What is AI and what are the opportunities for your organisation?
• How to deploy AI in business decisions?
• From intuition to data-driven to AI-smart
• Classification, regression, prediction and recognising relationships
• Robots, robotics and intelligent agents

Day 2: Application of ai

• Natural Language Processing
• Generative AI applications
• Creating dynamic pricing
• Deployment of smart service agent based on GPT
• Ethics and risks and how to deal with them
• Practice: Basic application of AI and data (Leadscoring mode using BigML)

Certificate

After the training you will receive a certificate of participation.

• This price does not include VAT
• Including coffee, tea and lunch 

Read more about payment conditions and what situation regarding the VAT concerns you.

* The prices mentioned here are the current prices and prices. It is possible that, for example, other prices are mentioned in brochure material, the prices on the website are leading.