Management of AI Projects

Utskrift

This course presents a process for developing AI-based systems in a structured way. You will learn about the phases of AI projects that employ machine learning (ML). In particular, we discuss methods and techniques for AI engineering, i.e. implementing continuous training and continuous delivery of ML-based systems.
The lectures explain the life cycle of ML systems, including methods for ML model development, testing, deployment and monitoring. In-class computer demonstrations will provide practical examples of ML model training and deployment. The exercises do not require pre-existing knowledge of machine learning but assume that you have a technical and programming background.

Kurstillfällen 
Målgrupp 

This two-day course is intended for software developers, engineers and project managers working in R&D from different application domains.

Kurslängd 
2 dagar
Antal platser 
25
Kursspråk 
Engelska
Plats 
Göteborg
Kursbroschyr 
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Förkunskapskrav 

Basic knowledge in mathematics and programming. Experience in software development is an advantage.

Kontakt 

LECTURES
Overview of AI and machine learning
Introduction to supervised learning, unsupervised learning and deep learning
Overview of machine learning system development process lifecycle
Modelling and optimization
Data management and continuous training
Continuous delivery of machine learning systems
Organisational aspects: Project planning, development teams and non-technical issues
Current trends and advanced topics in managing complex AI systems

DEMOS AND CASES
Modelling, optimization and management of machine learning model experiments - Supervised learning using deep learning
Data management and continuous training
Data management processes and feature engineering
Continuous delivery - Testing, deployment and serving infrastructure
A real-life use case within text processing will be used to demonstrate an AI development project

LEARNING OBJECTIVES
After the course, you will have acquired state-of-the-art knowledge of ML development processes and how to apply machine learning to tackle problems in your own organization. They will also have an understanding of how to organize ML-based development projects.

Utbildningspartner 
Avbeställningspolicy: 

Avbokning kan göras kostnadsfritt fram till åtta veckor innan starten för programmet/kursen. Om avbokning sker senare utgår avgifter för beställaren enligt följande:

  • 0-2 veckor innan starten för programmet/kursen: 100% av program-/kursavgiften
  • 2-4 veckor innan starten för programmet/kursen: 50% av program-/kursavgiften
  • 4-8 veckor innan starten för programmet/kursen: 25% av program-/kursavgiften. För kurser inom Sjöfart: 0% av program-/kursavgiften

Avbokningen måste ske skriftligen. Avbokning av logi sker i enlighet med hotellens avbokningsregler. Vi accepterar en kollega som ersättare för den ursprungliga deltagaren.