TRAINING

Overview

Based on our long experience in designing and holding training courses, we have created an Enterprise AI training curriculum for offering the right knowledge for each and every employee in terms of depth and specialisation depending on whether

  • it is sufficient to understand only the basics and the significance of this technology
  • he/she has to be able to identify specific application areas and he/she will have a working relationship with AI application developers or data scientists
  • he/she will develop AI solutions or at least will participate in development / implementation projects of AI solutions.

Our training concept is of flexible design, i.e. can be tailor made to our customers’ needs. We also put emphasis on keeping the curriculum up-to-date with the extremely fast developing AI industry.

Most of our training courses can be classroom-based or online with remote access.

There are three levels of courses (basic, intermediate and advanced), which differ in duration (from 2 hours to 21 days) and consequently in depth of transferred knowledge and skills as well as in terms of target groups.

For an easy orientation, we have developed a concept that can be overviewed quickly by offering two training courses for each level.

Our trainers’ work experience gained in projects and in the enterprise environment helps them understand and respond to issues and observations raised by course participants. In addition, they have skills to motivate course participants to help them overcome difficulties resulting from learning and working parallelly.

Training course: What is artificial intelligence?

Artificial intelligence gives answers to questions that we could not even raise without AI. 

The co-workers of your company will need merely two hours to understand what AI is, what positive impact it may have on the company and also to get inspiration for using AI.

Course description:
Each member of an AI-ready organisation or enterprise understands AI technology and its significance in business. Accordingly, our aim is to provide an overview of the world of AI from technology basics to business opportunities and to highlight a couple of case studies and practical examples. This introductory course consisting of lectures, interactive discussions (Q&A sessions) and practical demos will give the necessary foundations of AI to everyone.

Course content:

  • Definition of AI and its relationship with earlier technologies
  • The importance of data
  • Machine learning
  • Business impact and use cases

Target audience: Any employee of the company including those who will not need deeper knowledge that could be gained subsequent courses.

Duration: 2 hours

Difficulty: basic level

Prerequisite: Anyone can participate in the training. Its successful completion does not require IT, mathematics or other prior knowledge.

Language: English or Hungarian

Course delivery: classroom-based, online or recorded video streaming

Key takeaways: After completing the course participants will understand the concepts of machine learning, the operation basics of machine learning systems, application cases and its technology limitations.

Training course: The fundamentals of artificial intelligence

Artificial intelligence gives answers to questions that we could not even raise without AI.

One day is sufficient for your staff to get insight into the world of AI and understand how AI can be the source of competitive advantage and also to get inspiration for using AI.

Course description:
Each member of an AI-ready organisation or enterprise understands AI technology and its significance in business. Accordingly, our aim is to provide an overview of the world of AI from technology basics to business opportunities and ethical considerations of its application. As part of this training, we present several case studies and practical examples in detail. This introductory course consisting of lectures, interactive discussions (Q&A sessions) and practical demos will give the necessary foundations of AI to everyone.

Course content:

  • Definition of AI and its relationship with earlier technologies
  • The importance of data
  • Machine learning and deep learning
  • Business impact and use cases
  • Main characterstics of machine learning implementation projects

Target audience:
Employees of your company – either decision-makers or participating in decision-making in other roles – who may have already heard about the increasing significance of AI from multiple sources and would like to get a structured, comprehensive overview about this topic.

Duration: 1 day

Difficulty: basic level

Prerequisite: Anyone can participate in the training. Its successful completion does not require IT, mathematics or other prior knowledge.

Language: English or Hungarian

Course delivery: classroom-based, online or recorded video streaming

Key takeaways: After completing the course participants will understand the concepts of machine learning, the operation basics of machine learning systems, application cases and its technology limitations.

We always customise the content of our introductory courses considering our clients’ industries and include relevant use cases and examples.

Our experience shows that training courses deliver the highest business value if associated with follow-up consultation. This activity will serve to identify AI application areas or problems to be solved with the help of AI in the client’s enterprise. We can also use this occasion to discuss questions in connection with AI application areas.

Training course: Artificial intelligence in business practice

To predict the future is not magic, but artificial intelligence.

A few days is enough for your staff to build AI knowledge beyond the basics for identifying AI-related business opportunities, assessing their feasibility of implementation and prioritising these application ideas as well as starting up and managing the related implementation projects.

Course description:
We recommend our business AI training course to enterprises or other organisations which intend to add competitive advantage or improve their internal operations by applying AI. The purpose of the course is to make sure that the our clients can manage AI projects and that they can apply AI company-wide successfully by training the company’s management, strategy function, IT support  (e.g. IT infrastructure or project management) or other non-technology organisational units (e.g. HR, finance). The one-day introduction is followed by a 2-day specialisation, giving both theoretical knowledge and practical skills which participants can start using immediately.

Course contents:

  • Basics of AI
  • Business impact and most important application areas (technology and usage)
  • Use cases and their implementations
  • Planning and executing projects

Target audience: Top management, middle management, project managers, business analysts, product developers, specialists. 

Duration: 3 days

Difficulty: intermediate level

Prerequisite: Project experience, the knowledge of agile / scrum project methodologies, the openness to innovative thinking as well as mathematics and statistics background knowledge will help understand the course content.

Language: English or Hungarian

Course delivery: classroom-based or online, partly recorded video streaming

Key takeaways: After completing the course participants will have detailed knowledge on the structure, operations and application of machine learning systems including neural nets. They will also have a deep understanding of the possible business impacts of AI including successful business cases as measured by financial KPIs. They will be able to identify use cases for their own business area and judge whether AI can and should be used for a given task or problem. In addition, they will know the requirements of applying AI in the enterprise and will be able to plan projects.

Our experience shows that training courses deliver the highest business value if associated with follow-up consultation. This activity will serve to identify AI application areas or problems to be solved with the help of AI in the client’s enterprise. We can also use this occasion to discuss questions in connection with AI application areas.

Training course: Artificial intelligence technology in practice

Artificial intelligence is driving the new industrial revolution.

A few days is enough for your staff to build AI technology knowledge which will support their daily work and help them cooperate with internal or external AI developers.

Course description:
We recommend our AI technology course to staff who work with external AI developers or consultants as project managers or industry domain experts. The course will also be useful if these co-workers actually want to learn to build machine learning systems on their own. The one-day introduction is followed by a 2-day specialisation, giving both theoretical knowledge and practical skills which participants can start using immediately.

Course content:

  • Introduction to AI
  • Basic AI technologies
  • Data needed for machine learning, related issues and their handling
  • Toolsets for building AI models and how to work with them
  • Implementation and new trends in AI

Target audience: Line managers, technology experts

Duration: 3 days

Difficulty: intermediate level

Prerequisite: Basic programming skills and IT knowledge is necessary. The understanding of mathematics, quantitative analysis and statistics will also be helpful.

Language: English or Hungarian

Course delivery: classroom-based or online, partly recorded video streaming

Key takeaways: After completing the course participants will have detailed knowledge on the structure, operations and application of machine learning systems including neural nets. They will also understand the significance of data needed for machine learning and the importance of organising such data. They will know tools, platforms and methods for building AI solutions. As a result, they will be able to manage or co-operate with internal or external AI experts (data scientists) or expert companies building AI solutions for their enterprise.

Our experience shows that training courses deliver the highest business value if associated with follow-up consultation. This activity will serve to identify AI application areas or problems to be solved with the help of AI in the client’s enterprise. We can also use this occasion to discuss questions in connection with AI application areas.

Training course: Artificial intelligence Bootcamp

Artificial intelligence is driving the new industrial revolution.

With minimised time out of work your staff will develop AI expertise to build AI solutions with moderate complexity themselves and understand more complex AI systems built by 3rd-parties.

Course description:
The 10-day AI bootcamp offers in-depth expertise on the theory and implementation of machine learning via practical examples and exercises to be solved during the course for IT experts and for those who have got at least basic computer programming skills. Big advantage of this bootcamp type high-intensity training is that it efficiently gives practical knowledge to participants within a very short time.

Course content:

  • Classical data science and machine learning (4 days)
  • Fundamentals of deep learning (3 days)
  • Applied deep learning (3 days)

Data science tools used in the training:

  • Colaboratory – Jupyter environment
  • Python
  • Pandas
  • Scikit-Learn
  • Numpy
  • Matplotlib
  • Seaborn
  • TensorFlow
  • Keras

Target audience: Statisticians, data analysts, senior product developers, IT experts

Duration: 10 days

Difficulty: advanced level

Prerequisite: Basic programming skills and IT knowledge is necessary. The understanding of mathematics, quantitative analysis and statistics will also be helpful.

Language: English or Hungarian

Course delivery: classroom-based or online

Key takeaways: Participants will be able to build and train machine learning models, apply this technology for building AI solutions to address business or technology related tasks in their enterprise and set up projects for building such solutions. They will be able to manage or co-operate with internal or external AI experts (data scientists) or expert companies building AI solutions for their enterprise.

We can accomodate the course content, the practical examples and exercises to the client’s industry and strategic requirements. In addition we can optionally guide the participants through a „mini project” (Proof-of-Concept) using the client’s own data-set and addressing his own business task for which we will give support to preparing the necessary data and the infrastructure.

Training Course: Deep dive into artificial intelligence

Artificial intelligence is driving the new industrial revolution.

Within less than 2 months your experts will obtain sufficient knowledge and skills to build complex AI systems.

Course description:
The 21-day AI deep-dive offers in-depth expertise on the theory and implementation of machine learning via practical examples and exercises to be solved during the course for IT experts and for those who have at least basic computer programming skills. Due to the length of the course, participants can get to know various fields of the AI universe deeply. For a better „digestion” of the course content, the training course can be held in 3-day parts over 7 weeks.

Course contents:

  • Basics of data (3 days)
  • Pipelining and data preparation (3 days)
  • Classical data science and machine learning (5 days)
  • Fundamentals of deep learning (4 days)
  • Applied deep learning (3 days)
  • Recent advancements in AI and ML (3 days)

Data science tools used in the training:

  • Colaboratory – Jupyter environment
  • Python
  • Pandas
  • Scikit-Learn
  • Numpy
  • Matplotlib
  • Seaborn
  • TensorFlow
  • Keras

Target audience: Statisticians, data analysts, senior product developers, IT experts

Duration: 21 days

Difficulty: advanced level

Prerequisite: Basic programming skills and IT knowledge is necessary. The understanding of mathematics, quantitative analysis and statistics will also be helpful.

Language: English or Hungarian

Course delivery: classroom-based or online

Key takeaways: Participants will be able to build and train machine learning models, apply this technology for building AI solutions to address business or technology related tasks in their enterprise and set up projects for building such solutions. They will be able to manage or co-operate with internal or external AI experts (data scientists) or expert companies building AI solutions for their enterprise.

We can accomodate the course content, the practical examples and exercises to the client’s industry and strategic requirements. In addition optionally we can guide the participants through a „mini project” (Proof-of-Concept) using the client’s own data-set and addressing his own business task for which we will give support to preparing the necessary data and the infrastructure.