Predict Client's Average Waiting Time
Join us for a one-day training designed for developers where you'll focus on solving a specific problem and gain a framework for learning new AI techniques. Today's challenge consists of predicting a client's average waiting time.
Praktische info:
Leertraject
Goal of Mission.AI
You find it hard to assess what information is correct? You miss a bigger picture?
Are you feeling the pressure to upskill in AI, even though you don't have a background in it? You're not alone. Many developers are facing this challenge, but since you're great self-learners you continuously improve your skills by reading blogs, coding, and collaborating with colleagues.
However, navigating the vast amount of information available can be overwhelming, and the lack of a proper framework makes it challenging to interpret this information correctly. Additionally, there is a lot of misinformation out there, making it difficult to separate accurate information from incomplete, unclear, or misleading information.
Since going back to school for a degree in AI may not be a practical option for many of you, as it can be too theoretical and not directly applicable to your work we want to explore a new learning technique with you: a single day of training where you focus on solving a concrete problem which provides a framework for learning new concrete AI techniques.
The teaching material is oriented around very concrete hands-on programming challenges. Each challenge aims to explain a certain AI technique. However, they are formulated as a challenge for which where classical methods fall short.
Mission 2. PREDICT CLIENT’S AVERAGE WAITING TIME
Your company delivers a cloud service through an online API. It is very serious about customer experience and wishes to keep average waiting times for customers below a threshold.
Programme
9:30 The AI mission is introduced to the participants;
10:00 Participants tackle the problem, in pairs, on their own;
11:00 The tutor helps participants move forward and identifies potential problems;
12:30 Encountered problems are discussed in the group.
13:00 BREAK
14:00 The AI solution is presented; participants are asked to unravel how it works.
14:30 The mechanisms behind the AI technique/approach are explained.
15:30 Small exercises are done to empower the students.
16:30 Wrap-up and further reading
Learning outcomes
During these trainings you will:
- Increase your potential to solve problems with AI;
- Extend your portfolio of solution strategies;
- Learn about new and advanced AI techniques;
- Get a better understanding of the mechanisms behind the AI techniques;
- Learn about specific libraries, approaches, paradigms.
- Become aware of potential ethical implications;
- Develop creative thinking skills as well as a critical mindset
- Develop intuition to assess the limitations of different techniques;
- Get a better insight into the required effort to solve a problem with AI;
Mission.AI: 1-day AI bootcamps for developers
Experience an attractive AI education with Mission.AI, where traditional learning meets innovative problem-solving. Designed to bridge the gap left by conventional university courses and online blogs, Mission.AI immerses you in hands-on challenges that seem deceptively simple at first glance. You will explore diverse approaches, code in pairs, and engage in dynamic group discussions. The teacher will guide you through each solution, prompting you to analyze the results and refine your solutions. You'll learn to assess and overcome obstacles, while the teacher will explain concepts, definitions, examples, and tools of the introduced AI technique/approach. By the end of the mission, you'll confidently apply the taught AI technique to your own context and discover how to handle some gaps and challenges when applying AI.
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