Data & Tech Fundamentals

Are you struggling to grasp all the different types of technology and your role in generating impact with end-2-end AI solutions? Look no further! This rewarding one-day course will provide you with a data technology framework to craft a solution specifically for your business use case, and give you experience tackling common AI engineering challenges.

Duration: 1 day

Star Level: Practitioner 

Certification: Yes

 

MIacademy / Badge Overview / Open Course Calendar / 4102 Data & Tech Fundamentals

Course Description

To create an impact with data analytics it is essential to have a good data technology foundation. In this one-day badge, you will be introduced to the data analytics platform framework, the typical AI Engineering challenges that occur in such a platform and the role that you have as an AI Engineer or Data Scientist in developing the components of the platform. The content of this course covers all the data and technology elements needed to generate impact from AI, along with typical challenges and solutions in AI engineering that you as an AI Engineer or Data Scientist must be able to face. This training will start by introducing the data analytics platform framework and practicing linking business questions to end-2-end AI solutions, which will enable you to build a solution for business questions in the future. We continue with hands-on experience of various important AI engineering challenges and discussion on how this links to your way of working. You will be able to estimate if solving a question will be an ‘easy’ or ‘hard’ challenge. We conclude with a discussion of your role within the company on developing the data and technology side of the end-2-end AI solutions you build.

 

 

Why is this for you?

Have you ever had a question about how to technically build the solution you require to generate impact with data or an AI model you developed? Have you ever found yourself struggling to place new technologies used in your operationalized model environment in the right context? As an AI Engineer or Data Scientist, you are expected to have an understanding of this ever-evolving data and technology side of the end-2-end AI solutions, along with developing this to create a lasting impact with AI. It’s a lot to keep up with right? Our course hands you a framework that you can apply to the data and technology components of each solution you work on, and sketches both the challenges and your role in this data and technology landscape. So you feel prepared for any data or technology challenge.

 

 

Who should attend?

 

This training is designed for AI Engineers, Data Engineers and Data Scientists who have completed the AI Foundation course and are keen to learn more about the data and technology side of creating true impact from end-2-end solutions. Participants must have prior knowledge of programming in Python and SQL as these two skills are needed in the practical cases during the day.

 

 

What will you learn?

 

  1. Linking business questions to the right AI data and tech solution
  2. Explaining AI engineering challenges
  3. Defining the role of the AI Engineer and Data Scientist

 

 

Learning Goals

 

  • Linking business questions to the right AI data and tech solution – Identify the Data and Tech components needed to generate impact from End-2-End AI solutions
  • Explaining AI engineering challenges – Based on the landscape, explain which components result in the most important AI engineering challenges
  • Defining the role of the AI Engineer and Data Scientist – Argue what topics you need to learn about in the AI Data and Tech landscape as an AI Engineer or Data Scientist

 

 

Theory and practical use

 

All trainings in the GAIn portfolio combine high-quality standardized training material with theory sessions from experts and hands-on experience where you directly apply the material to real-life cases. Each training is developed by top of the field practitioners which means they are full of industry examples along with practical challenges and know-how, fueling the interactive discussions during training. We believe this multi-level approach creates the ideal learning environment for participants to thrive.

 

 

Skills

 

  • Data
  • Technology
  • Role of AI Engineer
  • Role of Data Scientist
  • Role of Data Engineer
  • AI Engineering challenges
  • Link business questions to data and tech solutions
Interested in taking the course?

Open Course Schedule

 

MIacademy offers part of its portfolio in an Open Course Schedule Format in our location in the center of Amsterdam. Via the form below you can register your interest to participate. Our team will contact you to finalize the booking and answer any questions you may have.

All of our courses are delivered by our expert trainers.

 

If no dates are mentioned, the specific course is not scheduled yet in 2020. If this is the case you can use the form to register your interest. In case there is enough demand MIacademy can schedule additional courses and will notify you.

Dates & Availability

 

In-company Training Programs

Are you interested in training a larger group of people, looking for specific training or would you like to create a company-wide program? We will be happy to assist!

Whether you have a very specific training need (for example: training your Data Engineers on advanced technical topics, or your Data Scientists on model implementation), or the need for a large transformational program, or something in between, we can help. Over the past 13 years, we have built up extensive experience not only in the implementation of multi-year, multi-population, multi-country programs but also in providing high quality, very specific modules for specific target groups. Both in in-house set-ups and cross-company programs. Not sure what type of program would fit your organization best? We’d be happy to discuss the best approach together.